platt.bib

% Encoding: UTF-8


@Article{Abdalati1997_snowmeltgreenland,
  author    = {Waleed Abdalati and Konrad Steffen},
  title     = {Snowmelt on the Greenland Ice Sheet as Derived from Passive Microwave Satellite Data},
  journal   = {Journal of Climate},
  year      = {1997},
  volume    = {10},
  number    = {2},
  month     = feb,
  pages     = {165--175},
  doi       = {10.1175%2F1520-0442%281997%29010%3C0165%3ASOTGIS%3E2.0.CO%3B2},
  abstract  = {The melt extent of the snow on the Greenland ice sheet is of considerable
	importance to the ice sheet’s mass and energy balance, as well
	as Arctic and global climates. By comparing passive microwave satellite
	data to field observations, variations in melt extent have been detected
	by establishing melt thresholds in the cross-polarized gradient ratio
	{(XPGR).} The {XPGR,} defined as the normalized difference between
	the {19-GHz} horizontal channel and the {37-GHz} vertical channel
	of the Special Sensor {Microwave/Imager} {(SSM/I),} exploits the
	different effects of snow wetness on different frequencies and polarizations
	and establishes a distinct melt signal. Using this {XPGR} melt signal,
	seasonal and interannual variations in snowmelt extent of the ice
	sheet are studied. The melt is found to be most extensive on the
	western side of the ice sheet and peaks in late July. Moreover, there
	is a notable increasing trend in melt area between the years 1979
	and 1991 of 4.4\% per year, which came to an abrupt halt in 1992
	after the eruption of Mt. Pinatubo. A similar trend is observed in
	the temperatures at six coastal stations. The relationship between
	the warming trend and increasing melt trend between 1979 and 1991
	suggests that a {1В°C} temperature rise corresponds to an increase
	in melt area of 73000 km2, which in general exceeds one standard
	deviation of the natural melt area variability.},
  owner     = {pl},
  timestamp = {2009.10.05},
}

@Article{Abdalati1995_F8F11,
  author  = {Abdalati, W. and Steffen, K. and Otto, C. and Jezek, K.},
  title   = {Comparison of brightness temperatures from {SSM/I} instruments on the {DMSP} {F}8 and {F}11 satellites for {A}ntarctica and the {G}reenland ice sheet},
  journal = {International Journal of Remote Sensing},
  year    = {1995},
  volume  = {16},
  pages   = {1223-1229},
}

@Article{Abdalati1995_comparison,
  author    = {W. Abdalati and K. Steffen and C. Otto and K. C. Jezek},
  title     = {Comparison of brightness temperatures from {SSMI} instruments on the {DMSP} F8 and {FII} satellites for Antarctica and the Greenland ice sheet},
  journal   = {International Journal of Remote Sensing},
  year      = {1995},
  volume    = {16},
  number    = {7},
  pages     = {1223--1229},
  issn      = {0143-1161},
  url       = {http://www.informaworld.com/10.1080/01431169508954473},
  abstract  = {Passive microwave satellite data provide extremely important information about the climate and surface conditions in the often cloudy high latitude regions of the Earth. Available since 1978, multichannel passive microwave data have great potential for long term climate monitoring. In order to ensure consistent data sets for such long term monitoring, the relations between the microwave brightness temperatures from similar sensors on successive satellite platforms must be understood. In this study the 19,22. and {37GHz} channels of the Defense Meteorological Satellite Program {(DMSP)} F8 and F11 Special Sensor Microwave Imager {(SSMI)} instruments are compared. While the analysis shows that the two data sets are highly correlated with correlation coefficients greater than 0В·98. the consistency between the two data sets can be improved by applying small corrections in the order of I deg K. Two sets of regression coefficients are provided for adjusting the F11 data to the F8 baseline.},
  owner     = {pl},
  timestamp = {2009.10.05},
}

@Article{Anderson1997,
  author  = {Anderson, M. R.},
  title   = {Determination of a melt-onset data for {A}rctic sea-ice regions using passive microwave data},
  journal = {Ann. Glaciol.},
  year    = {1997},
  volume  = {25},
  pages   = {382–387},
}

@Article{AndersonDrobot_2001:glac,
  author    = {Anderson, M. R. and Drobot, S. D.},
  title     = {Spatial and temporal variability in snowmelt onset over {A}rctic sea ice},
  journal   = {Annals of Glaciology},
  year      = {2001},
  volume    = {33},
  pages     = {74-78},
  owner     = {pl},
  timestamp = {2009.10.03},
}

@ARTICLE{anderson_spatial_2001,
  author = {Mark R. Anderson and Sheldon D. Drobot},
  title = {Spatial and temporal variability in snowmelt onset over Arctic sea
	ice},
  journal = {Annals of Glaciology},
  year = {2001},
  volume = {33},
  pages = {74--78},
  doi = {10.3189/172756401781818284},
  owner = {pl},
  timestamp = {2009.10.05},
  url = {http://www.ingentaconnect.com/content/igsoc/agl/2001/00000033/00000001/art00012}
}

@ARTICLE{barber_statistical_????,
  author = {D. G. Barber and S. P. Reddan and E. F. {LeDrew}},
  title = {Statistical characterization of the geophysical and electrical properties
	of snow on landfast first-year sea ice},
  journal = {J. Geophys. Res.},
  volume = {100},
  year = {1995},
  abstract = {In this work we quantify the vertical geophysical and electrical properties
	of a snow cover on landfast first-year sea ice observed during the
	Seasonal Sea Ice Monitoring and Modelling Site {(SIMMS'92)} experiment.
	Snow grain morphology, density, salinity, temperature and wetness
	were measured; the volume fractions of air, ice, brine, and the complex
	dielectric constant of the snow were modeled over a 3-cm vertical
	resolution spanning a seasonal period from April to June. Our results
	show that over the vertical dimension the snow grain morphology,
	salinity, density, and fractional volumes of brine, ice, and air
	covary. The statistical characterization of the vertical grain morphology
	indicates that two distinct layers occurred under cold {(в€’20В°C)}
	and three layers under warm {(в€’5В°C)} atmospheric temperatures.
	Over the seasonal period it was shown that new snow was deposited
	at about 250 kgВ·mв€’3 and quickly compacted to 375 kgВ·mв€’3 Snow
	grains grew at different rates within the snow cover because of differing
	metamorphic conditions. Dielectrically, the snow volume followed
	closely the seasonal and vertical patterns of grain morphology, salinity,
	temperature, density and the phase proportions of water within the
	snow volume. As the season evolved, the increasing brine volumes
	and presence of water in liquid phase caused the dielectric properties
	to increase over several factors (ε′mix) and orders of magnitude
	(ε″mix).},
  owner = {pl},
  timestamp = {2009.10.05},
  doi = {10.1029/94JC02200}
}

@Article{BarberYackel1999,
  author    = {Barber, D. G. and Yackel, J. J.},
  title     = {{The physical, radiative and microwave scattering characteristics of melt ponds on Arctic landfast sea ice.}},
  journal   = {International Journal of Remote Sensing},
  year      = {1999},
  volume    = {20},
  number    = {10},
  pages     = {2069-2090},
  owner     = {pl},
  timestamp = {2009.10.03},
}

@ARTICLE{barry_arctic_????,
  author = {R. G. Barry and M. C. Serreze and J. A. Maslanik and R. H. Preller},
  title = {The Arctic Sea {Ice-Climate} System: Observations and Modeling},
  journal = {Rev. Geophys.},
  volume = {31},
  year = {1993},
  abstract = {Significant advances are being made in our understanding of the Arctic
	sea ice-climate system. The mean circulation of the Arctic sea ice
	cover is now well defined through analysis of data from drifting
	stations and buoys. Analysis of nearly 20 years of daily satellite
	data from optical, infrared, and passive microwave sensors has documented
	the regional variability in monthly ice extent, concentration, and
	surface albedo. Advances in modeling include better treatments of
	sea ice dynamics and thermodynamics, improved atmosphere-ice-ocean
	coupling, and the development of high resolution regional models.
	Diagnostic studies of monthly and interannual sea ice variability
	have benefited from better sea ice data and geostrophic wind analyses
	that incorporate drifting buoy data. Some evidence exists for a small
	retreat of Arctic sea ice over the last 2 decades, but there are
	large decadal fluctuations in regional ice extent. Antiphase relationships
	between ice anomalies in different sectors can be related to changes
	in atmospheric circulation. Evidence suggests that episodes of significant
	salinity reduction in the North Atlantic, associated with extensive
	sea ice in the Greenland Sea, may be a manifestation of a decadal
	oscillation in the Arctic climate system. Aspects of the Arctic system
	in need of further attention include the surface energy budget and
	its variability, particularly with respect to the roles of cloud
	cover and surface types in summer. Sea ice thickness distribution
	data remain meager, and there are many unknowns regarding the circulation
	and hydrologic cycle of the Arctic Ocean and its links to the world
	ocean. Planned measurements from a new generation of satellites,
	supported by field programs, will provide much needed data to address
	these issues. },
  owner = {pl},
  timestamp = {2009.10.05},
  doi = {10.1029/93RG01998}
}

@ARTICLE{belchansky_seasonal_2002,
  author = {Gennady I. Belchansky and David C. Douglas},
  title = {Seasonal comparisons of sea ice concentration estimates derived from
	{SSM/I,} {OKEAN,} and {RADARSAT} data},
  journal = {Remote Sensing of Environment},
  year = {2002},
  volume = {81},
  pages = {67--81},
  number = {1},
  month = jul,
  abstract = {The Special Sensor Microwave Imager {(SSM/I)} microwave satellite
	radiometer and its predecessor {SMMR} are primary sources of information
	for global sea ice and climate studies. However, comparisons of {SSM/I,}
	Landsat, {AVHRR,} and {ERS-1} synthetic aperture radar {(SAR)} have
	shown substantial seasonal and regional differences in their estimates
	of sea ice concentration. To evaluate these differences, we compared
	{SSM/I} estimates of sea ice coverage derived with the {NASA} Team
	and Bootstrap algorithms to estimates made using {RADARSAT,} and
	{OKEAN-01} satellite sensor data. The study area included the Barents
	Sea, Kara Sea, Laptev Sea, and adjacent parts of the Arctic Ocean,
	during October 1995 through October 1999. Ice concentration estimates
	from spatially and temporally near-coincident imagery were calculated
	using independent algorithms for each sensor type. The {OKEAN} algorithm
	implemented the satellite's two-channel active (radar) and passive
	microwave data in a linear mixture model based on the measured values
	of brightness temperature and radar backscatter. The {RADARSAT} algorithm
	utilized a segmentation approach of the measured radar backscatter,
	and the {SSM/I} ice concentrations were derived at National Snow
	and Ice Data Center {(NSIDC)} using the {NASA} Team and Bootstrap
	algorithms. Seasonal and monthly differences between {SSM/I,} {OKEAN,}
	and {RADARSAT} ice concentrations were calculated and compared. Overall,
	total sea ice concentration estimates derived independently from
	near-coincident {RADARSAT,} {OKEAN-01,} and {SSM/I} satellite imagery
	demonstrated mean differences of less than 5.5\% {(S.D.{\textless}9.5\%)}
	during the winter period. Differences between the {SSM/I} {NASA}
	Team and the {SSM/I} Bootstrap concentrations were no more than 3.1\%
	{(S.D.{\textless}5.4\%)} during this period. {RADARSAT} and {OKEAN-01}
	data both yielded higher total ice concentrations than the {NASA}
	Team and the Bootstrap algorithms. The Bootstrap algorithm yielded
	higher total ice concentrations than the {NASA} Team algorithm. Total
	ice concentrations derived from {OKEAN-01} and {SSM/I} satellite
	imagery were highly correlated during winter, spring, and fall, with
	mean differences of less than 8.1\% {(S.D.{\textless}15\%)} for the
	{NASA} Team algorithm, and less than 2.8\% {(S.D.{\textless}13}},
  doi = {10.1016/S0034-4257(01)00333-9},
  issn = {0034-4257},
  keywords = {Backscattering cross section, Brightness temperature, {OKEAN,} Passive
	microwave, Radar, {RADARSAT,} {SAR,} {ScanSAR,} Sea ice concentration,
	Seasonal comparison, {SSM/I,} Standard Beam},
  owner = {pl},
  timestamp = {2009.10.05},
  url = {http://www.sciencedirect.com/science/article/B6V6V-45BXKK5-7/2/c2bf29a4c40561604e3a791a684a12d1}
}

@Article{Belchansky2000_RSE,
  author    = {Belchansky, G. I. and Douglas, D. C.},
  title     = {Classification methods for monitoring {A}rctic sea ice using {OKEAN} passive/active two-channel microwave data},
  journal   = {J. Rem. Sens. Environ.},
  year      = {2000},
  volume    = {73},
  pages     = {307-322},
  address   = {N.Y.},
  publisher = {Elsev. Sci.},
}

@Article{Belchansky1995,
  author    = {Belchansky, G. I., and Douglas, D. C., and Mordvintsev, I. N., and Ovchinnikov, G. K.},
  title     = {Assessing trends in {A}rctic sea ice distribution using {K}osmos-{O}kean satellite series},
  journal   = {Polar Record},
  year      = {1995},
  volume    = {31},
  number    = {177},
  pages     = {129-134},
  owner     = {pl},
  timestamp = {2009.10.01},
}

@Article{Belchansky2004_RSE,
  author    = {Gennady I. Belchansky and David C. Douglas and Ilia N. Mordvintsev and Nikita G. Platonov},
  title_old = {Estimating the time of melt onset, melt duration and freeze onset over {A}rctic sea-ice area using active and passive microwave data},
  title     = {Estimating the time of melt onset and freeze onset over {A}rctic sea-ice area using active and passive microwave data},
  journal   = {Remote Sensing of Environment},
  year      = {2004},
  volume    = {92},
  number    = {1},
  month     = jul,
  pages     = {21--39},
  issn      = {0034-4257},
  doi       = {10.1016/j.rse.2004.05.001},
  abstract  = {Accurate calculation of the time of melt onset, freeze onset, and melt duration over Arctic sea-ice area is crucial for climate and global change studies because it affects accuracy of surface energy balance estimates. This comparative study evaluates several methods used to estimate sea-ice melt and freeze onset dates: (1) the melt onset database derived from {SSM/I} passive microwave brightness temperatures {(Tbs)} using Drobot and Anderson's {[J.} Geophys. Res. 106 (2001) 24033] Advanced Horizontal Range Algorithm {(AHRA)} and distributed by the National Snow and Ice Data Center {(NSIDC);} (2) the International Arctic Buoy {Program/Polar} Exchange at the Sea {(IABP/POLES)} surface air temperatures {(SATs);} (3) an elaborated version of the {AHRA} that uses {IABP/POLES} to avoid anomalous results {(Passive} Microwave and Surface Temperature Analysis {[PMSTA]);} (4) another elaborated version of the {AHRA} that uses Tb variance to avoid anomalous results {(Mean} Differences and Standard Deviation Analysis {[MDSDA]);} (5) Smith's {[J.} Geophys. Res. 103 (1998) 27753] vertically polarized Tb algorithm for estimating melt onset in multiyear {(MY)} ice {(SSM/I} {19V-37V);} and (6) analyses of concurrent backscattering cross section ([sigma]пїЅ) and brightness temperature {(Tb)} from {OKEAN-01} satellite series. Melt onset and freeze onset maps were created and compared to understand how the estimates vary between different satellite instruments and methods over different Arctic sea-ice regions. Comparisons were made to evaluate relative sensitivities among the methods to slight adjustments of the Tb calibration coefficients and algorithm threshold values. Compared to the {PMSTA} method, the {AHRA} method tended to estimate significantly earlier melt dates, likely caused by the {AHRA's} susceptibility to prematurely identify melt onset conditions. In contrast, the {IABP/POLES} surface air temperature data tended to estimate later melt and earlier freeze in all but perennial ice. The {MDSDA} method was least sensitive to small adjustments of the {SMMR-SSM/I} inter-satellite calibration coefficients. Differences among methods varied by latitude. Freeze onset dates among methods were most disparate in southern latitudes, and tended to converge northward. Surface air temperatures {(IABP/POLES)} indicated freeze onset well before the {MDSDA} method, especially in southern peripheral seas, while {PMSTA} freeze estimates were generally intermediate. Surface air temperature data estimated latest melt onset dates in southern latitudes, but earliest melt onset in northern latitudes. The {PMSTA} estimated earliest melt onset dates in southern regions, and converged with the {MDSDA} northward. Because sea-ice melt and freeze are dynamical transitional processes, differences among these methods are associated with differing sensitivities to changing stages of environmental and physical development. These studies contribute to the growing body of documentation about the levels of disparity obtained when Arctic seasonal transition parameters are estimated using various types of microwave data and algorithms.},
  keywords  = {Backscattering cross section, Brightness temperature, Comparative analysis, Concentration, Freeze onset, {IABP/POLES,} Melt onset, {OKEAN-01,} Sea-ice type, {SSM/I,} Surface air temperature},
  owner     = {pl},
  timestamp = {2009.10.05},
}

@Article{Belchansky2004_cli,
  author   = {Belchansky, Gennady I. and Douglas, David C. and Platonov, Nikita G.},
  title    = {Duration of the {A}rctic Sea Ice Melt Season: Regional and Interannual Variability, 1979-2001},
  journal  = {Journal of Climate},
  year     = {2004},
  volume   = {17},
  month    = {1},
  pages    = {67--80},
  doi      = {10.1175/1520-0442(2004)017<0067:DOTASI>2.0.CO;2},
  abstract = {Melt onset dates, freeze onset dates, and melt season duration were
	estimated over Arctic sea ice, 1979--2001, using passive microwave
	satellite imagery and surface air temperature data. Sea ice melt
	duration for the entire Northern Hemisphere varied from a 104-day
	minimum in 1983 and 1996 to a 124-day maximum in 1989. Ranges in
	melt duration were highest in peripheral seas, numbering 32, 42,
	44, and 51 days in the Laptev, Barents-Kara, East Siberian, and Chukchi
	Seas, respectively. In the Arctic Ocean, average melt duration varied
	from a 75-day minimum in 1987 to a 103-day maximum in 1989. On average,
	melt onset in annual ice began 10.6 days earlier than perennial ice,
	and freeze onset in perennial ice commenced 18.4 days earlier than
	annual ice. Average annual melt dates, freeze dates, and melt durations
	in annual ice were significantly correlated with seasonal strength
	of the Arctic Oscillation (AO). Following high-index AO winters (January--March),
	spring melt tended to be earlier and autumn freeze later, leading
	to longer melt season durations. The largest increases in melt duration
	were observed in the eastern Siberian Arctic, coincident with cyclonic
	low pressure and ice motion anomalies associated with high-index
	AO phases. Following a positive AO shift in 1989, mean annual melt
	duration increased 2--3 weeks in the northern East Siberian and Chukchi
	Seas. Decreasing correlations between consecutive-year maps of melt
	onset in annual ice during 1979--2001 indicated increasing spatial
	variability and unpredictability in melt distributions from one year
	to the next. Despite recent declines in the winter AO index, recent
	melt distributions did not show evidence of reestablishing spatial
	patterns similar to those observed during the 1979--88 low-index
	AO period. Recent freeze distributions have become increasingly similar
	to those observed during 1979--88, suggesting a recurrent spatial
	pattern of freeze chronology under low-index AO conditions.},
}
@Article{Belchansky2004_jgr,
  doi = {10.1029/2004jc002388},
  year = {2004},
  publisher = {American Geophysical Union ({AGU})},
  volume = {109},
  number = {C10},
  note = {C10017},
  author = {Gennady I. Belchansky and David C. Douglas and Ilia V. Alpatsky and Nikita G. Platonov},
  title = {Spatial and temporal multiyear sea ice distributions in the {A}rctic: {A} neural network analysis of {SSM/I} data, 1988-2001},
  journal = {Journal of Geophysical Research},
}
@Article{Belchansky2008_cli,
  doi = {10.1175/2007jcli1787.1},
  year = {2008},
  month = {feb},
  publisher = {American Meteorological Society},
  volume = {21},
  number = {4},
  pages = {716--729},
  author = {G. I. Belchansky and D. C. Douglas and N. G. Platonov},
  title = {Fluctuating {A}rctic Sea Ice Thickness Changes Estimated by an \emph{In Situ} Learned and Empirically Forced Neural Network Model},
  journal = {Journal of Climate},
}
@ARTICLE{bjrgo_analysis_????,
  author = {Einar BjГѓВёrgo and Ola M. Johannessen and Martin W. Miles},
  title = {Analysis of Merged {SMMR-SSMI} Time Series of Arctic and Antarctic
	Sea Ice Parameters 1978-1995},
  journal = {Geophys. Res. Lett.},
  volume = {24},
  year = {1997},
  abstract = {The most consistent means of investigating the global sea ice cover
	is by satellite passive microwave sensors, as these are independent
	of illumination and cloud cover. The Nimbus 7 Scanning Multichannel
	Microwave Radiometer {(SMMR)} and the Defense Meteorological Satellite
	Program {(DMSP)} Special Sensor Microwave Imager {(SSMI)} provide
	information on the global sea ice cover from 1978 to present. The
	two instruments flew simultaneously during a 6-week overlap period
	in July and August 1987, thus enabling intercomparison of the two
	sensors. Brightness temperatures are corrected for instrument drift
	and calibration differences in order to produce continuous time series
	of monthly averaged Arctic and Antarctic sea ice extent and sea ice
	area through the use of the {NOrwegian} Remote Sensing {EXperiment}
	{(NORSEX)} algorithm, which relates brightness temperatures to ice
	concentration. Statistical analysis on the time series estimates
	the decreases in Arctic ice extent and ice area to be 4.5\% and 5.7\%,
	respectively, during the 16.8-year observation period. The overall
	trends established here serve to better define and strengthen earlier
	assertions of a reduced ice cover, based on analysis of {SMMR} and
	{SSMI} data taken separately. These results are consistent with {GCM}
	simulations that suggest retreat of the sea ice cover under global
	warming scenarios. },
  owner = {pl},
  timestamp = {2009.10.05},
  doi = {10.1029/96GL04021}
}

@ARTICLE{bjrgo_analysis_????-1,
  author = {Einar BjГѓВёrgo and Ola M. Johannessen and Martin W. Miles},
  title = {Analysis of Merged {SMMR-SSMI} Time Series of Arctic and Antarctic
	Sea Ice Parameters 1978-1995},
  journal = {Geophys. Res. Lett.},
  year = {1997},
  volume = {24},
  abstract = {The most consistent means of investigating the global sea ice cover
	is by satellite passive microwave sensors, as these are independent
	of illumination and cloud cover. The Nimbus 7 Scanning Multichannel
	Microwave Radiometer {(SMMR)} and the Defense Meteorological Satellite
	Program {(DMSP)} Special Sensor Microwave Imager {(SSMI)} provide
	information on the global sea ice cover from 1978 to present. The
	two instruments flew simultaneously during a 6-week overlap period
	in July and August 1987, thus enabling intercomparison of the two
	sensors. Brightness temperatures are corrected for instrument drift
	and calibration differences in order to produce continuous time series
	of monthly averaged Arctic and Antarctic sea ice extent and sea ice
	area through the use of the {NOrwegian} Remote Sensing {EXperiment}
	{(NORSEX)} algorithm, which relates brightness temperatures to ice
	concentration. Statistical analysis on the time series estimates
	the decreases in Arctic ice extent and ice area to be 4.5\% and 5.7\%,
	respectively, during the 16.8-year observation period. The overall
	trends established here serve to better define and strengthen earlier
	assertions of a reduced ice cover, based on analysis of {SMMR} and
	{SSMI} data taken separately. These results are consistent with {GCM}
	simulations that suggest retreat of the sea ice cover under global
	warming scenarios. },
  owner = {pl},
  timestamp = {2009.10.05},
  doi = {10.1029/96GL04021}
}

@Article{Cavalieri1994,
  author  = {Cavalieri, D.J.},
  title   = {A microwave technique for mapping thin sea ice},
  journal = {Journal of Geophysical Research},
  year    = {1994},
  volume  = {99},
  number  = {C6},
  pages   = {12,561-12,572},
}

@ARTICLE{Cavalieri1984,
  author = {Cavalieri, D. and Gloersen, P. and Campbell, W. J.},
  title = {Determination of sea ice parameters with the {N}imbus 7 {SMMR}},
  journal = {Journal of Geophysical Research},
  year = {1984},
  volume = {89},
  pages = {5355-5369},
  number = {D4},
  owner = {pl},
  timestamp = {2009.10.03}
}

@misc{Cavalieri1990-2001,
  author = {Cavalieri, D. and Gloerson, P. and Zwally, J.},
  year = {1990-2001},
  title = {DMSP SSM/I daily polar gridded sea ice concentrations.},
  howpublished = {Digital media},
  organization = {National Snow and Ice Data Center},
  address = {Boulder, CO},
  note = {Edited by J. Maslanik and J. Stroeve.},
  owner = {pl},
  note = {electronic},
  timestamp = {2009.10.03}
}

@misc{NSIDC2002_conc,
  author       = {Cavalieri, D. and Parkinson, C. and Gloersen, P. and H.J. Zwally.},
  title        = {Sea ice concentrations from {N}imbus-7 {SMMR} and {DMSP} {SSM/I} passive microwave data},
  year         = {1999. updated 2002},
  note         = {June to September 2001},
  organization = {National Snow and Ice Data Center.},
  address      = {Boulder, CO, USA},
  howpublished = {CD-ROM},
  owner        = {pl},
  timestamp    = {2009.10.03},
}

@ARTICLE{cavalieri_deriving_????,
  author = {D. J. Cavalieri and C. L. Parkinson and P. Gloersen and J. C. Comiso
	and H. J. Zwally},
  title = {Deriving long-term time series of sea ice cover from satellite passive-microwave
	multisensor data sets},
  journal = {J. Geophys. Res.},
  year = {1999},
  volume = {104},
  abstract = {We have generated consistent sea ice extent and area data records
	spanning 18.2 years from passive-microwave radiances obtained with
	the Nimbus 7 scanning multichannel microwave radiometer and with
	the Defense Meteorological Satellite Program F8, F11, and F13 special
	sensor microwave/imagers. The goal in the creation of these data
	was to produce a long-term, consistent set of sea ice extents and
	areas that provides the means for reliably determining sea ice variability
	over the 18.2-year period and also serves as a baseline for future
	measurements. We describe the method used to match the sea ice extents
	and areas from these four multichannel sensors and summarize the
	problems encountered when working with radiances from sensors having
	different frequencies, different footprint sizes, different visit
	times, and different calibrations. A major obstacle to adjusting
	for these differences is the lack of a complete year of overlapping
	data from sequential sensors. Nonetheless, our procedure reduced
	ice extent differences during periods of sensor overlap to less than
	0.05\% and ice area differences to 0.6\% or less.},
  owner = {pl},
  timestamp = {2009.10.05},
  doi = {10.1029/1999JC900081}
}

@Article{Cavalieri1999,
  author  = {Cavalieri, D. J. and Parkinson, C. L. and Gloersen, P. and Comiso, J. C. and Zwally, H. J.},
  title   = {Deriving long-term time series of sea ice cover from satellite passive microwave multisensor data sets},
  journal = {J. Geophys. Res},
  year    = {1999},
  volume  = {104},
  pages   = {15,803-15,814},
}

@ARTICLE{chapman_recent_1993,
  author = {William L. Chapman and John E. Walsh},
  title = {Recent Variations of Sea Ice and Air Temperature in High Latitudes},
  journal = {Bulletin of the American Meteorological Society},
  year = {1993},
  volume = {74},
  pages = {33--47 },
  number = {1},
  abstract = {Feedbacks resulting from the retreat of sea ice and snow contribute
	to the polar amplification of the greenhouse warming projected by
	global climate models. A gridded sea-ice database, for which the
	record length is now approaching four decades for the Arctic and
	two decades for the Antarctic, is summarized here. The sea-ice fluctuations
	derived from the dataset are characterized by 1) temporal scales
	of several seasons to several years and 2) spatial scales of 30°–180°
	of longitude. The ice data are examined in conjunction with air temperature
	data for evidence of recent climate change in the polar regions.
	The arctic sea-ice variations over the past several decades are compatible
	with the corresponding air temperatures, which show a distinct warming
	that is strongest over northern land areas during the winter and
	spring. The temperature trends over the subarctic seas are smaller
	and even negative in the southern Greenland region. Statistically
	significant decreases of the summer extent of arctic ice are apparent
	in the sea-ice data, and new summer minima have been achieved three
	times in the past 15 years. There is no significant trend of ice
	extent in the Arctic during winter or in the Antarctic during any
	season. The seasonal and geographical changes of sea-ice coverage
	are consistent with the more recent greenhouse experiments performed
	with coupled atmosphere—ocean models.},
  owner = {pl},
  timestamp = {2009.10.05},
  doi = {10.1175%2F1520-0477%281993%29074%3C0033%3ARVOSIA%3E2.0.CO%3B2}
}

@MISC{NSIDC_SSMI_conc,
  author = {Comiso, J.},
  title = {DMSP SSM/I daily polar gridded sea ice concentrations.},
  howpublished = {Digital media},
  year = {1990-2001},
  note = {Edited by J. Maslanik and J. Stroeve},
  address = {Boulder, CO},
  organization = {National Snow and Ice Data Center},
  owner = {pl},
  timestamp = {2009.10.03}
}

@Article{Comiso2003,
  author    = {Comiso, J.},
  title     = {Warming trends in the {A}rctic from clearsky satellite observations.},
  journal   = {J. Climate},
  year      = {2003},
  number    = {1},
  pages     = {34983510},
  owner     = {pl},
  timestamp = {2009.10.03},
}

@Article{Comiso_2001,
  author  = {Comiso, J.C.},
  title   = {Satellite-observed variability and trends in sea-ice extent, surface temperature, albedo and clouds in the {A}rctic},
  journal = {Annals of Glaciology},
  year    = {2001},
  volume  = {33},
  pages   = {457 -- 473},
}

@ARTICLE{Comiso2002,
  author = {Comiso, J. C.},
  title = {A rapidly declining perennial sea ice cover in the {A}rctic},
  journal = {Geophysical Research Letters},
  year = {2002},
  volume = {29},
  number = {20},
  note = {Comiso, J. C. (2002). A rapidly declining perennial sea ice cover
	in the Arctic. Geophysical Research Letters, 29(20), 1956. doi:10.1029/2002GL015650},
  owner = {pl},
  timestamp = {2009.10.03}
}

@ARTICLE{comiso_satellite-observed_2001,
  author = {Josefino C. Comiso},
  title = {Satellite-observed variability and trend in sea-ice extent, surface
	temperature, albedo and clouds in the Arctic},
  journal = {Annals of Glaciology},
  year = {2001},
  volume = {33},
  pages = {457--473},
  doi = {doi:10.3189/172756401781818617},
  owner = {pl},
  timestamp = {2009.10.05},
  url = {http://www.ingentaconnect.com/content/igsoc/agl/2001/00000033/00000001/art00073}
}

@Article{Comiso1997,
  author    = {Comiso, J. C. and Cavalieri, D. J. and Parkinson, C. L. and Gloersen, P.},
  title     = {Passive Microwave Algorithms for Sea Ice Concentration: Comparison of Two Techniques},
  journal   = {J. Remote Sens. Environ.},
  year      = {1997},
  volume    = {60},
  pages     = {357-384},
  owner     = {pl},
  timestamp = {2009.10.03},
}

@ARTICLE{comiso_surface_????,
  author = {Josefino C. Comiso and Ron Kwok},
  title = {Surface and radiative characteristics of the summer Arctic sea ice
	cover from multisensor satellite observations},
  journal = {J. Geophys. Res.},
  year = {1996},
  volume = {101},
  abstract = {Accurate quantification and characterization of the Arctic summer
	ice cover are needed for mass balance, heat flux, and modeling studies
	in the region. A general assessment of the state and basic characteristics
	of the ice cover can best be done in summer because it is when the
	perennial component is fully revealed. The main source of summer
	ice information has been passive microwave and to a lesser degree
	active microwave data. However, the emissivity and backscatter of
	sea ice are abnormal and difficult to resolve during this time period,
	causing large uncertainties in the interpretation of satellite data.
	In this study we examined the state of the sea ice cover by using
	special scanning microwave imager {(SSM/I),} synthetic aperture radar
	{(SAR),} and advanced very high resolution radiometer {(AVHRR)} satellite
	data synergistically. The surface and radiative characteristics of
	the summer ice cover were evaluated in the context of three special
	events: onset of melt, melt ponding, and freeze-up. These events
	affect the emissivity and backscatter and may alter the albedo and
	ice structure. Onset of melt is readily detectable and is shown to
	migrate rapidly to the north in June. Melt ponding is not directly
	observable but is postulated to be the main cause of the decreases
	in brightness temperatures and large discrepancies between the {SSM/I}
	and {SAR} ice concentration results in many areas. In these areas,
	{SAR} and {AVHRR} results show concentrations near 100\%, while the
	{SSM/I} data were as low as 70\%. During freeze-up the ice signatures
	are still quite different from those of midwinter ice, but the ice
	concentrations from {SSM/I} generally agree well with those from
	{SAR} data. Our results show that, generally, the average ice concentration
	within the pack is usually greater than 90\% during the summer, which
	is substantially larger than that inferred previously from passive
	microwave data. The use of combined {SAR} and {SSM/I} data may also
	provide melt-ponding fraction and first-order estimate of albedo
	in the Arctic region.},
  owner = {pl},
  timestamp = {2009.10.05},
  doi = {10.1029/96JC02816}
}

@Article{Conn2016_design,
  author    = {Conn, Paul B. and Moreland, Erin E. and Regehr, Eric V. and Richmond, Erin L. and Cameron, Michael F. and Boveng, Peter L.},
  title     = {Using simulation to evaluate wildlife survey designs: polar bears and seals in the Chukchi Sea},
  journal   = {Royal Society Open Science},
  year      = {2016},
  volume    = {3},
  number    = {1},
  doi       = {10.1098/rsos.150561},
  eprint    = {http://rsos.royalsocietypublishing.org/content/3/1/150561.full.pdf},
  url       = {http://rsos.royalsocietypublishing.org/content/3/1/150561},
  abstract  = {Logistically demanding and expensive wildlife surveys should ideally
	yield defensible estimates. Here, we show how simulation can be used
	to evaluate alternative survey designs for estimating wildlife abundance.
	Specifically, we evaluate the potential of instrument-based aerial
	surveys (combining infrared imagery with high-resolution digital
	photography to detect and identify species) for estimating abundance
	of polar bears and seals in the Chukchi Sea. We investigate the consequences
	of different levels of survey effort, flight track allocation and
	model configuration on bias and precision of abundance estimators.
	For bearded seals (0.07 animals km-2) and ringed seals (1.29 animals
	km-2), we find that eight flights traversing ≈7840 km are sufficient
	to achieve target precision levels (coefficient of variation (CV)\&lt;20\%)
	for a 2.94{\texttimes}105 km2 study area. For polar bears (provisionally,
	0.003 animals km-2), 12 flights traversing ≈11 760 km resulted in
	CVs ranging from 28 to 35\%. Estimators were relatively unbiased
	with similar precision over different flight track allocation strategies
	and estimation models, although some combinations had superior performance.
	These findings suggest that instrument-based aerial surveys may provide
	a viable means for monitoring seal and polar bear populations on
	the surface of the sea ice over large Arctic regions. More broadly,
	our simulation-based approach to evaluating survey designs can serve
	as a template for biologists designing their own surveys.},
  publisher = {The Royal Society},
}

@ARTICLE{crane_springtime_????,
  author = {Robert G. Crane and Mark R. Anderson},
  title = {Springtime microwave emissivity changes in the southern Kara Sea},
  journal = {J. Geophys. Res.},
  volume = {99},
  year = {1994},
  abstract = {Springtime microwave brightness temperatures over first-year ice are
	examined for the southern Kara Sea. Snow emissivity changes are revealed
	by episodic drops in the 37- to {18-GHz} brightness temperature gradient
	ratio measured by the Nimbus 7 scanning multichannel microwave radiometer.
	We suggest that the negative gradient ratios in spring 1982 result
	from increased scatter at 37 {GHz} due to the formation of a near-surface
	hoar layer. This interpretation is supported by the results of a
	surface radiation balance model that shows the melt signature occurring
	at below freezing temperatures but under clear-sky conditions with
	increased solar input to the surface. Published observations from
	the Greenland ice cap show a surface hoar layer forming under similar
	atmospheric conditions owing to the increased penetration and absorption
	of solar radiation just below the surface layer. In spring/early
	summer 1984 similar gradient ratio signatures occur. They appear
	to be due to several days of freeze-thaw cycling following the movement
	of a low-pressure system through the region. These changes in surface
	emissivity represent the transition from winter to summer conditions
	(as defined by the microwave response) and are shown to be regional
	in extent and to vary with the synoptic circulation.},
  owner = {pl},
  timestamp = {2009.10.05},
  doi = {10.1029/94JC00381}
}

@Article{Curry1995,
  author    = {Judith A. Curry and Julie L. Schramm and Elizabeth E. Ebert},
  title     = {Sea {Ice-Albedo} Climate Feedback Mechanism},
  journal   = {Journal of Climate},
  year      = {1995},
  volume    = {8},
  number    = {2},
  month     = feb,
  pages     = {240--247},
  doi       = {10.1175%2F1520-0442%281995%29008%3C0240%3ASIACFM%3E2.0.CO%3B2},
  abstract  = {The sea ice-albedo feedback mechanism over the Arctic Ocean multiyear
	sea ice is investigated by conducting a series of experiments using
	several one-dimensional models of the coupled sea ice-atmosphere
	system. In its simplest form, ice-albedo feedback is thought to be
	associated with a decrease in the areal cover of snow and ice and
	a corresponding increase in the surface temperature, further decreasing
	the areal cover of snow and ice. It is shown that the sea ice-albedo
	feedback can operate even in multiyear pack ice, without the disappearance
	of this ice, associated with internal processes occurring within
	the multiyear ice pack (e.g., duration of the snow cover, ice thickness,
	ice distribution, lead fraction, and melt pond characteristics).
	The strength of the ice-albedo feedback mechanism is compared for
	several different thermodynamic sea ice models: a new model that
	includes ice thickness distribution, the Ebert and Curry model, the
	Maykut and Untersteiner model, and the Semtner level-3 and level-0
	models. The climate forcing is chosen to be a perturbation of the
	surface heat flux, and cloud and water vapor feedbacks are inoperative
	so that the effects of the sea ice-albedo feedback mechanism can
	be isolated. The inclusion of melt ponds significantly strengthens
	the ice-albedo feedback, while the ice thickness distribution decreases
	the strength of the modeled sea ice-albedo feedback. It is emphasized
	that accurately modeling present-day sea ice thickness is not adequate
	for a sea ice parameterization; the correct physical processes must
	be included so that the sea ice parameterization yields correct sensitivities
	to external forcing.},
  owner     = {pl},
  timestamp = {2009.10.05},
}

@ARTICLE{deser_arctic_2000,
  author = {Clara Deser and John E Walsh and Michael S Timlin},
  title = {Arctic Sea Ice Variability in the Context of Recent Atmospheric Circulation
	Trends},
  journal = {Journal of Climate},
  year = {2000},
  pages = {617--633},
  owner = {pl},
  timestamp = {2009.10.05}
}

@ARTICLE{deser_arctic_2000-1,
  author = {Clara Deser and John E. Walsh and Michael S. Timlin},
  title = {Arctic Sea Ice Variability in the Context of Recent Atmospheric Circulation
	Trends},
  journal = {Journal of Climate},
  year = {2000},
  volume = {13},
  pages = {617--633 },
  number = {3},
  month = feb,
  abstract = {Forty years (1958–97) of reanalysis products and corresponding sea
	ice concentration data are used to document Arctic sea ice variability
	and its association with surface air temperature {(SAT)} and sea
	level pressure {(SLP)} throughout the Northern Hemisphere extratropics.
	The dominant mode of winter {(January–March)} sea ice variability
	exhibits out-of-phase fluctuations between the western and eastern
	North Atlantic, together with a weaker dipole in the North Pacific.
	The time series of this mode has a high winter-to-winter autocorrelation
	(0.69) and is dominated by decadal-scale variations and a longer-term
	trend of diminishing ice cover east of Greenland and increasing ice
	cover west of Greenland. Associated with the dominant pattern of
	winter sea ice variability are large-scale changes in {SAT} and {SLP}
	that closely resemble the North Atlantic oscillation. The associated
	{SAT} and surface sensible and latent heat flux anomalies are largest
	over the portions of the marginal sea ice zone in which the trends
	of ice coverage have been greatest, although the well-documented
	warming of the northern continental regions is also apparent. The
	temporal and spatial relationships between the {SLP} and ice anomaly
	fields are consistent with the notion that atmospheric circulation
	anomalies force the sea ice variations. However, there appears to
	be},
  owner = {pl},
  timestamp = {2009.10.05},
  doi = {10.1175%2F1520-0442%282000%29013%3C0617%3AASIVIT%3E2.0.CO%3B2}
}

@Article{DrobotAnderson2001_AHRA,
  author    = {Drobot, S. D. and Anderson, M.R.},
  title     = {An improved method for determining snowmelt onset dates over {A}rctic sea ice using scanning multichannel microwave radiometer and {S}pecial {S}ensor {M}icrowave/{I}mager data},
  journal   = {J. Geophys. Res.},
  year      = {2001},
  volume    = {106},
  pages     = {24,033-24,049},
  owner     = {pl},
  timestamp = {2009.10.03},
  doi       = {10.1029/2000JD000171}
}

@ARTICLE{drobot_improved_????,
  author = {Sheldon D. Drobot and Mark R. Anderson},
  title = {An improved method for determining snowmelt onset dates over Arctic
	sea ice using scanning multichannel microwave radiometer and Special
	Sensor {Microwave/Imager} data},
  journal = {J. Geophys. Res.},
  year = {2001},
  volume = {106},
  abstract = {Ablation of snow over sea ice is an important physical process affecting
	the Arctic surface energy balance. An improved understanding of the
	spatial and temporal variations in snowmelt onset could be utilized
	to improve climate simulations in the Arctic, as well as monitor
	the Arctic for signs of climate change. Utilizing an updated approach
	for monitoring snowmelt onset over Arctic sea ice, spatial variability
	in passive microwave derived snowmelt onset dates is examined from
	1979 through 1998. The improved technique, termed the advanced horizontal
	range algorithm {(AHRA),} utilizes temporal variations in 18/19 {GHz}
	and 37 {GHz} passive microwave horizontal brightness temperatures
	obtained from the scanning multichannel microwave radiometer {(SMMR)}
	and the Special Sensor {Microwave/Imager} {(SSM/I)} to identify snowmelt
	onset. A qualitative assessment of spatial variability in snowmelt
	onset discusses the 1979 through 1998 mean snowmelt onset pattern,
	and it also illustrates that there are significant variations in
	snowmelt onset on an annual basis. Principal component analysis of
	the snowmelt onset dates suggests snowmelt onset variability is dominated
	by a zone of abnormally early (late) snowmelt onset near the Siberian
	coast and another zone of abnormally late (early) snowmelt onset
	near Baffin Bay. Statistical analysis between the first principal
	component and {March-June} monthly averaged Arctic Oscillation values
	implies that variations in snowmelt onset are related to alterations
	in the phase of the spring Arctic Oscillation.},
  owner = {pl},
  timestamp = {2009.10.05},
  doi = {10.1029/2000JD000171}
}

@ARTICLE{drobot_comparison_2001,
  author = {Sheldon D. Drobot and Mark R. Anderson},
  title = {Comparison of interannual snowmelt-onset dates with atmospheric conditions},
  journal = {Annals of Glaciology},
  year = {2001},
  volume = {33},
  pages = {79--84},
  doi = {doi:10.3189/172756401781818851},
  owner = {pl},
  timestamp = {2009.10.05},
  url = {http://www.ingentaconnect.com/content/igsoc/agl/2001/00000033/00000001/art00013}
}

@ARTICLE{Eicken2004,
  author = {Eicken, H. and Grenfell, T. C. and Perovich, D. K. and Richter-Menge,
	J. A. and Frey, K.},
  title = {Hydraulic controls of summer Arctic pack ice albedo},
  journal = {Journal of Geophysical Research},
  year = {2004},
  volume = {109},
  note = {Eicken, H., Grenfell, T. C., Perovich, D. K., Richter-Menge, J. A.,
	\& Frey, K. (2004). Hydraulic controls of summer Arctic pack ice
	albedo. Journal of Geophysical Research, 109, C08007. doi:10.1029/2003JC001989
	12 pgs.},
  doi = {10.1029/2003JC001989},
  numpage = {12},
  owner = {pl},
  timestamp = {2009.10.03}
}

@Article{Emery1997_iceMotion,
  author    = {Emery, W. J., and Fowler, C. W. and Maslanik, J. A.},
  title     = {Satellite derived {A}rctic and {A}ntarctic sea ice motions: 1988–1994},
  journal   = {Geophysical Research Letters},
  year      = {1997},
  volume    = {24},
  number    = {8},
  pages     = {897--900},
  owner     = {pl},
  timestamp = {2009.10.03},
}

@Article{FettererUntersteiner1998,
  author    = {Fetterer, F. and Untersteiner, N.},
  title     = {Observations of melt ponds on {A}rctic sea ice},
  journal   = {Journal of Geophysical Research},
  year      = {1998},
  volume    = {103},
  pages     = {24821--24835},
  note      = {Fetterer, F., \& Untersteiner, N. (1998). Observations of melt ponds on Arctic sea ice. Journal of Geophysical Research, 103, 24821-24835.},
  owner     = {pl},
  timestamp = {2009.10.03},
}

@ARTICLE{Fowler2003,
  author = {Fowler, C. and Emery, W. and Maslanik, J. A.},
  title = {Satellite derived arctic sea ice evolution {O}ctober 1978 to {M}arch
	2003.},
  journal = {Transactions on Geoscience and Remote Sensing Letters},
  year = {2003},
  volume = {1},
  pages = {71--74},
  number = {2},
  note = {Fowler, C., Emery, W., \& Maslanik, J. A. (2003). Satellite derived
	arctic sea ice evolution Oct. 1978 to March 2003. Transactions on
	Geoscience and Remote Sensing Letters, 1(2), 71-74.},
  owner = {pl},
  timestamp = {2009.10.03}
}

@misc{SMMR,
  author = {Gloersen, P. and Cavalieri, D. and Campbell, W. J. and Zwally, J.},
  year = {1990},
  title = {Nimbus-7 SMMR polar radiances and Arctic and Antarctic sea ice concentrations.},
  howpublished = {CD-ROM},
  organization = {National Snow and Ice Data Center},
  address = {Boulder, CO},
  owner = {pl},
  timestamp = {2009.10.03}
}

@ARTICLE{gloersen_spatial_????,
  author = {P. Gloersen and C. L. Parkinson and D. J. Cavalieri and J. C. Comiso
	and H. J. Zwally},
  title = {Spatial distribution of trends and seasonally in the hemispheric
	sea ice covers: 1978 – 1996},
  journal = {J. Geophys. Res.},
  year = {1999},
  volume = {104},
  abstract = {We extend earlier analyses of a 8.8-year sea ice data set that described
	the local seasonal variations and trends in each of the hemispheric
	sea ice covers to the recently merged 18.2-year sea ice record from
	four satellite instruments. The seasonal cycle characteristics remain
	essentially the same as for the shorter time series, but the local
	trends are markedly different, in some cases reversing sign. The
	sign reversal reflects the lack of a consistent long-term trend and
	could be the result of localized long-term oscillations in the hemispheric
	sea ice covers. By combining the separate hemispheric sea ice records
	into a global one, we have shown that there are statistically significant
	net decreases in the sea ice coverage on a global scale. The change
	in the global sea ice extent is −0.01 ± 0.003 × 106
	km2 per decade. The decrease in the areal coverage of the sea ice
	is only slightly smaller, so that the difference in the two, the
	ice-free areas within the packs, has no statistically significant
	change.},
  owner = {pl},
  timestamp = {2009.10.05},
  doi = {10.1029/1999JC900121}
}

@Article{Gloersen1999,
  author  = {Gloersen, P., and Parkinson, C.L., and Cavalieri, D.J., and Comiso, J.C., and Zwally, H.J.},
  title   = {Spatial distribution of trends and seasonality in the hemispheric sea ice covers: 1978 - 1996},
  journal = {J. Geophys. Res.},
  year    = {1999},
  volume  = {104},
  number  = {C9},
  pages   = {20.827 -- 20.835},
}

@ARTICLE{GrenfellPerovich:2004,
  author = {Grenfell, T. C. and Perovich, D. K.},
  title = {The seasonal evolution of albedo in a snow-ice-land-ocean environment},
  journal = {Journal of Geophysical Research},
  year = {2004},
  volume = {109},
  number = {C1},
  note = {Grenfell, T. C., \& Perovich, D. K. (2004). The seasonal evolution
	of albedo in a snow-ice-land-ocean environment. Journal of Geophysical
	Research, 109(C1), C01001. doi:10.1029/2003JC001866},
  doi = {10.1029/2003JC001866},
  owner = {pl},
  timestamp = {2009.10.03}
}

@Article{Hanesiak2001,
  author    = {Hanesiak, J. M. and Barber, D. G. and De Abreu, R. A. and Yackel, J. J.},
  title     = {{Local and regional albedo observations of arctic first-year sea ice during melt ponding}},
  journal   = {Journal of Geophysical Research},
  year      = {2001},
  volume    = {106},
  number    = {C1},
  pages     = {1005--1016},
  note      = {Hanesiak, J. M., Barber, D. G., De Abreu, R. A., \& Yackel, J. J. (2001). Local and regional albedo observations of arctic first-year sea ice during melt ponding. Journal of Geophysical Research, 106(C1), 1005--1016.},
  owner     = {pl},
  timestamp = {2009.10.03},
}

@Book{Iacus2008,
  author    = {S.M. Iacus},
  title     = {{Simulation and Inference for Stochastic Differential Equations: with R examples}},
  year      = {2008},
  publisher = {Springer Series in Statistics, Springer NY},
  isbn      = {978-0-387-75838-1},
  pagetotal1 = {XVIII, 285},
  pagetotal = {285},
}

@ARTICLE{ikeda_hypersensitive_????,
  author = {M. Ikeda and J. Wang and J. {-P.} Zhao},
  title = {Hypersensitive Decadal Oscillations in the {Arctic/Subarctic} Climate},
  journal = {Geophys. Res. Lett.},
  year = {2001},
  volume = {28},
  abstract = {A conceptual model of the Arctic climate system is generated by taking
	two key components in the coupled atmosphere-ice-ocean system, having
	a basis on a box model with water exchanges among the Arctic Basin,
	the {Greenland-Iceland-Norwegian} {(GIN)} Seas and the North Atlantic.
	One of the key components is deep water formation in the {GIN} Seas
	induced by the saline Atlantic inflow to the area. The second key
	component is a positive feedback between a more intense (or weaker)
	Polar Vortex and less (or more) ice cover in the Arctic Basin. The
	system possesses a decadal oscillation in a limited range of the
	combination of the key component intensities. This oscillatory state
	is potentially relevant to the decadal oscillations remarkable in
	the Arctic climate only for last three decades. The present study
	promotes an attempt to examine responses of the Arctic atmospheric
	circulation to decadal variability in the surface heat flux, as these
	responses are the most uncertain. },
  owner = {pl},
  timestamp = {2009.10.05},
  doi = {10.1029/2000GL011773}
}

@TechReport{Jezek1991_N7F8,
  author      = {Jezek, K.C. and Merry, C. and Cavalieri, D. and Grace, S. and Bedner, J. and Wilson, D. and Lampkin, D.},
  title       = {Comparison between {SMMR} and {SSM/I} passive microwave data collected over the {A}ntarctic ice sheet},
  institution = {The Ohio State University, Columbus, Ohio},
  year        = {1991},
  type        = {Byrd Polar Research Center Technical Report. {N}o. 91-03},
  comment     = {Jezek, K.C., C. Merry, D. Cavalieri, S.Grace, J. Bedner, D. Wilson and D. Lampkin 1991: Comparison between SMMR and SSM/I passive microwave data collected over the Antarctic Ice Sheet. Byrd Polar Research Center, The Ohio State university, Columbus, OH., BPRC Technical Report Number 91-03, ISSN: 1056-8050.},
  numpages    = {63},
}

@Article{Kunzi1982,
  author  = {Kunzi, K. F., and Patil, S. and Rott, H.},
  title   = {Snow-cover parameters derived from {N}imbus-7 {S}canning {M}ultichannel {M}icrowave {R}adiometer ({SMMR}) data},
  journal = {IEEE Transactions on Geosciences and Remote Sensing},
  year    = {1982},
  volume  = {GE-20},
  pages   = {57-66},
}

@Article{Markus2003,
  author    = {Markus, T. and Cavalieri, D. J. and Tschudi, M. A. and Ivanoff, A.},
  title     = {{Comparison of aerial video and Landsat 7 data over ponded sea ice}},
  journal   = {Remote Sensing of Environment},
  year      = {2003},
  volume    = {86},
  pages     = {458--469},
  note      = {Markus, T., Cavalieri, D. J., Tschudi, M. A., \& Ivanoff, A. (2003). Comparison of aerial video and Landsat 7 data over ponded sea ice. Remote Sensing of Environment, 86, 458-469.},
  owner     = {pl},
  timestamp = {2009.10.03},
}

@Article{Markus2009_PMW,
  doi      = {10.1029/2009jc005436},
  author   = {Markus, Thorsten and Stroeve, Julienne C. and Miller, Jeffrey},
  title    = {Recent changes in {A}rctic sea ice melt onset, freezeup, and melt season length},
  journal  = {Journal of Geophysical Research: Oceans},
  year     = {2009},
  month    = {dec},
  publisher = {American Geophysical Union ({AGU})},
  volume   = {114},
  number   = {C12},
  note     = {C12024},
  issn     = {2156-2202},
  keywords = {Sea ice, Thermodynamics, Remote sensing, Energy balance, sea ice, melt, Arctic},
}
@online{Markus_PMW_data,
    author = {Thorsten Markus and Jeff Miller},
    title = {Arctic Sea Ice Melt},
    year = {2022},
    month = {feb},
    day = {17},
    url = {https://earth.gsfc.nasa.gov/cryo/data/arctic-sea-ice-melt},
    publisher = {NASA Goddard Space Flight Center’s Cryospheric Sciences Laboratory},
    urldate = {2022-06-17}
}

@INPROCEEDINGS{Maslanik2002,
  author = {Maslanik, J. A. and Curry, J. and Drobot, S. and Holland, G.},
  title = {Observations of sea ice using a low-cost unpiloted aerial vehicle},
  booktitle = {16th. IAHR International Symposium on Sea IceInt. Assoc. of Hydraulic
	Engineering and Research},
  year = {2002},
  editor = {},
  volume = {3},
  pages = {326-327},
  note = {Maslanik, J. A., Curry, J., Drobot, S., \& Holland, G. (2002). Observations
	of sea ice using a low-cost unpiloted aerial vehicle, Proc. 16th.
	IAHR International Symposium on Sea IceInt. Assoc. of Hydraulic Engineering
	and Research, Vol. 3 (pp. 283–287).},
  owner = {pl},
  timestamp = {2009.10.03}
}

@ARTICLE{maslanik_recent_????,
  author = {James A. Maslanik and Mark C. Serreze and Roger G. Barry},
  title = {Recent Decreases in Arctic Summer Ice Cover and Linkages to Atmospheric
	Circulation Anomalies},
  journal = {Geophys. Res. Lett.},
  volume = {23},
  abstract = {Sea ice data from November 1978 through September 1995 for the Arctic
	Ocean and peripheral seas indicate that summer ice coverage has been
	below normal in recent years, with extreme minima in 1990, 1993,
	and 1995. The net trend in summer ice cover over the 17-year period
	is −0.6\% per year, with the extent of the perennial ice pack
	reduced by 9\% in 1990-1995 compared with 1979-1989. The reductions
	are greatest in the Siberian sector of the Arctic Ocean. Linkages
	are proposed between these ice anomalies and a sharp increase since
	1989 in the frequency of low pressure systems over the central Arctic.
	},
  owner = {pl},
  timestamp = {2009.10.05},
  doi = {10.1029/96GL01426}
}

@ELECTRONIC{SSMI_Tb,
  author = {Maslanik, J. and Stroeve, J.},
  year = {1990-2002},
  title = {DMSP SSM/I daily polar gridded brightness temperatures},
  howpublished = {CD-ROM},
  organization = {National Snow and Ice Data Center},
  address = {Boulder, CO},
  owner = {pl},
  timestamp = {2009.10.03}
}

@ARTICLE{Maslasnik2007,
  author = {Maslasnik, J. A. and Fowler, C. and Stroeve, J. and Drobot, S. and
	Zwally},
  title = {A younger, thinner {A}rctic ice cover: increased potential for rapid,
	extensive ice loss.},
  journal = {J. Geophysical Research Letters},
  year = {2007},
  volume = {34, L24501},
  note = {Maslasnik, J. A., Fowler, C., Stroeve, J., Drobot, S.,\& Zwally,
	J. (2007). A younger, thinner Arctic ice cover: increased potential
	for rapid, extensive ice loss. Geophysical Research Letters, 34,
	L24501. doi:10.1029/2007GL032043.},
  doi = {10.1029/2007GL032043},
  owner = {pl},
  timestamp = {2009.10.03}
}

@ARTICLE{Meier2005,
  author = {Meier, W., and Stroeve, J. and Fetterer, F. and Knowles, K.},
  title = {Reductions in {A}rctic sea ice cover no longer limited to summer},
  journal = {EOS Trans.},
  year = {2005},
  volume = {86},
  pages = {326-327},
  number = {36},
  owner = {pl},
  publisher = {AGU},
  timestamp = {2009.10.03}
}

@ARTICLE{mysak_decadal_????,
  author = {Lawrence A. Mysak and Silvia A. Venegas},
  title = {Decadal Climate Oscillations in the Arctic: A New Feedback Loop for
	{Atmosphere-Ice-Ocean} Interactions},
  journal = {Geophys. Res. Lett.},
  volume = {25},
  abstract = {A combined complex empirical orthogonal function analysis of 40 years
	of annual sea ice concentration {(SIC)} and winter sea level pressure
	{(SLP)} data reveals the existence of an approximately 10-year climate
	cycle in the Arctic and subarctic. The cycle is characterized by
	a clockwise propagating signal in the {SIC} anomalies and a standing
	oscillation in the {SLP} anomalies, the latter being linked to a
	fluctuation between the two phases of the North Atlantic Oscillation.
	To describe the formation and evolution of the {SIC} and {SLP} anomalies
	associated with the cycle, a simple feedback loop is proposed. },
  owner = {pl},
  timestamp = {2009.10.05},
  doi = {10.1029/98GL02782}
}

@ARTICLE{naggar_modelling_1998,
  author = {S. El Naggar and C. Garrity and R. O. Ramseier},
  title = {The modelling of sea ice melt-water ponds for the High Arctic using
	an Airborne line scan camera, and applied to the Satellite Special
	Sensor {Microwave/Imager} {(SSM/I)}},
  journal = {International Journal of Remote Sensing},
  year = {1998},
  volume = {19},
  pages = {2373--2394},
  number = {12},
  abstract = {Melt-water ponds on sea ice in the Northeast Water Polynya (77-82
	N, 1-18 W) were mapped using a line scan camera {(LSC)} mounted on
	a helicopter. Passive microwave satellite data from the Special Sensor
	Microwave/ Imager {(SSM/I)} were employed to analyse the temporal
	trend of radiances of shorefast ice for 1993 and sea ice during sixteen
	flights of the {LSC} {(June-July).} A simple, linear algorithm tailored
	to accommodate the summer ice regime, was developed. The {LSC} measurements
	of ice (50.9 12.5\%), water and melt-water pond fractions compared
	very well with the {SSM/I} derived mean ice concentrations (50.9
	12.8\%). The comparison resulted in a correlation coefficient of
	0.953. Combining the {LSC} melt-water pond fraction data with other
	data available from the literature provided the basis to construct
	a second degree polynomial function of a melt-water empirical model
	to correct the under estimation of {SSM/I} derived sea ice concentration
	due to the effect of melt-water ponds.},
  issn = {0143-1161},
  owner = {pl},
  timestamp = {2009.10.05},
  url = {http://www.informaworld.com/10.1080/014311698214785}
}

@ARTICLE{onstott_evolution_????,
  author = {R. G. Onstott and T. C. Grenfell and C. Matzler and C. A. Luther
	and E. A. Svendsen},
  title = {Evolution of Microwave Sea Ice Signatures During Early Summer and
	Midsummer in the Marginal Ice Zone},
  journal = {J. Geophys. Res.},
  volume = {92},
  abstract = {Emissivities at frequencies from 5 to 94 {GHz} and backscatter at
	frequencies from 1 to 17 {GHz} were measured from sea ice in Fram
	Strait during the Marginal Ice Zone Experiment in June and July of
	1983 and 1984. The ice observed was primarily multiyear; the remainder,
	first-year ice, was often deformed. Results from this active and
	passive microwave study include the description of the evolution
	of the sea ice during early summer and midsummer; the absorption
	properties of summer snow; the interrelationship between ice thickness
	and the state and thickness of snow; and the modulation of the microwave
	signature, especially at the highest frequencies, by the freezing
	of the upper few centimeters of the ice.},
  owner = {pl},
  timestamp = {2009.10.05},
  doi = {10.1029/JC092iC07p06825}
}

@ARTICLE{parkinson_spatial_????,
  author = {Claire L. Parkinson},
  title = {{SPATIAL} {PATTERNS} {OF} {INCREASES} {AND} {DECREASES} {IN} {THE}
	{LENGTH} {OF} {THE} {SEA} {ICE} {SEASON} {IN} {THE} {NORTH} {POLAR}
	{REGION,} 1979–1986},
  journal = {J. Geophys. Res.},
  volume = {97},
  abstract = {Recently it was reported that sea ice extents in the northern hemisphere
	showed a very slight but statistically significant decrease over
	the 8.8-year period of the Nimbus 7 scanning multichannel microwave
	radiometer {(SMMR)} data set. In this paper the same {SMMR} data
	are used to reveal spatial patterns in increasing and decreasing
	sea ice coverage. Specifically, the length of the ice season is mapped
	for each full year of the {SMMR} data set (1979–1986), and
	the trends over the 8 years in these ice season lengths are also
	mapped. These trends show considerable spatial coherence, with a
	shortening in the sea ice season apparent in much of the eastern
	hemisphere of the north polar ice cover, particularly in the Sea
	of Okhotsk, the Barents Sea, and the Kara Sea, and a lengthening
	of the sea ice season apparent in much of the western hemisphere
	of the north polar ice cover, particularly in Davis Strait, the Labrador
	Sea, and the Beaufort Sea.},
  owner = {pl},
  timestamp = {2009.10.05},
  url = {10.1029/92JC01367}
}

@ARTICLE{parkinson_spatial_????-1,
  author = {Claire L. Parkinson},
  title = {{SPATIAL} {PATTERNS} {OF} {INCREASES} {AND} {DECREASES} {IN} {THE}
	{LENGTH} {OF} {THE} {SEA} {ICE} {SEASON} {IN} {THE} {NORTH} {POLAR}
	{REGION,} 1979–1986},
  journal = {J. Geophys. Res.},
  volume = {97},
  abstract = {Recently it was reported that sea ice extents in the northern hemisphere
	showed a very slight but statistically significant decrease over
	the 8.8-year period of the Nimbus 7 scanning multichannel microwave
	radiometer {(SMMR)} data set. In this paper the same {SMMR} data
	are used to reveal spatial patterns in increasing and decreasing
	sea ice coverage. Specifically, the length of the ice season is mapped
	for each full year of the {SMMR} data set (1979–1986), and
	the trends over the 8 years in these ice season lengths are also
	mapped. These trends show considerable spatial coherence, with a
	shortening in the sea ice season apparent in much of the eastern
	hemisphere of the north polar ice cover, particularly in the Sea
	of Okhotsk, the Barents Sea, and the Kara Sea, and a lengthening
	of the sea ice season apparent in much of the western hemisphere
	of the north polar ice cover, particularly in Davis Strait, the Labrador
	Sea, and the Beaufort Sea.},
  owner = {pl},
  timestamp = {2009.10.05},
  doi = {10.1029/92JC01367}
}

@ARTICLE{parkinson_arctic_????,
  author = {Claire L. Parkinson and Donald J. Cavalieri and Per Gloersen and
	H. Jay Zwally and Josefino C. Comiso},
  title = {Arctic sea ice extents, areas, and trends, 1978–1996},
  journal = {J. Geophys. Res.},
  volume = {104},
  abstract = {Satellite passive-microwave data for November 1978 through December
	1996 reveal marked seasonal, regional, and interannual variabilities,
	with an overall decreasing trend of в€’34,300 В± 3700 km2/yr (в€’2.8\%/decade)
	in Arctic sea ice extents over the 18.2-year period. Decreases occur
	in all seasons and on a yearly average basis, although they are largest
	in spring and smallest in autumn. Regionally, the Kara and Barents
	Seas have the largest decreases, at в€’15,200 В± 1900 km2/yr (в€’10.5\%/decade),
	followed by the Seas of Okhotsk and Japan, the Arctic Ocean, Greenland
	Sea, Hudson Bay, and Canadian Archipelago. The yearly average trends
	for the total, the Kara and Barents Seas, and the Seas of Okhotsk
	and Japan all have high statistical significance, with the null hypothesis
	of a 0 slope being rejected at a 99\% confidence level. Regions showing
	increasing yearly average ice extents are Baffin {Bay/Labrador} Sea,
	the Gulf of St. Lawrence, and the Bering Sea, with only the increases
	in the Gulf of St. Lawrence being statistically significant at the
	99\% level. Hemispheric results for sea ice areas exhibit the same
	в€’2.8\%/decade decrease as for ice extents and hence a lower absolute
	decrease (в€’29,500 В± 3800 km2/yr), with the ice-free area within
	the ice pack correspondingly decreasing at в€’4800 В± 1600 km2/yr.
	Confidence levels for the trends in ice areas and ice-free water
	areas exceed 99\% and 95\%, respectively. Nonetheless, interannual
	variability is high, and, for instance, the Arctic Ocean ice extents
	have a positive trend 1990–1996, in spite of their negative trend
	for the time period as a whole.},
  owner = {pl},
  timestamp = {2009.10.05},
  doi = {10.1029/1999JC900082}
}

@article{Parkinson1999,
	doi = {10.1029/1999jc900082},
	year = 1999,
	month = {sep},
	publisher = {American Geophysical Union ({AGU})},
	volume = {104},
	number = {C9},
	pages = {20837--20856},
	author = {Claire L. Parkinson and Donald J. Cavalieri and Per Gloersen and H. Jay Zwally and Josefino C. Comiso},
	title = {Arctic sea ice extents, areas, and trends, 1978-1996},
	journal = {Journal of Geophysical Research: Oceans}
}
@ARTICLE{Pegau2001,
  author = {Pegau, W. S. and Paulson, C. A.},
  title = {The albedo of Arctic leads in summer},
  journal = {Annals of Glaciology},
  year = {2001},
  volume = {33},
  pages = {221--224},
  note = {Pegau, W. S., \& Paulson, C. A. (2001). The albedo of Arctic leads
	in summer. Annals of Glaciology, 33, 221--224.},
  owner = {pl},
  timestamp = {2009.10.03}
}

@ARTICLE{Perovich2002,
  author = {Perovich, D. K. and Grenfell, T. C. and Light, B. and Hobbs, P. V.},
  title = {Seasonal evolution of the albedo of multiyear {A}rctic sea ice},
  journal = {Journal of Geophysical Research},
  year = {2002},
  volume = {107},
  pages = {C19},
  note = {Perovich, D. K., Grenfell, T. C., Light, B., \& Hobbs, P. V. (2002).
	Seasonal evolution of the albedo of multiyear Arctic sea ice. Journal
	of Geophysical Research, 107(C10), 8044. doi:10.1029/2000JC000438},
  owner = {pl},
  timestamp = {2009.10.03}
}

@ARTICLE{pettersson_sar_1996,
  author = {M. I. Pettersson and J. Askne and D. J. Cavalieri},
  title = {{SAR} observations of Arctic freeze-up compared to {SSM/I} during
	{ARCTIC'91}},
  journal = {International Journal of Remote Sensing},
  year = {1996},
  volume = {17},
  pages = {2603--2624},
  number = {13},
  abstract = {Ice concentration in the Arctic derived from {ERS-1} Synthetic Aperture
	Radar {(SAR)} and Special Scanning {Microwave/Imager} {(SSM/I)} images
	are compared. The satellite data are compared to video images and
	in situ measurements. The data were acquired during the freeze-up
	period of the {ARCTIC'91} expedition. The studied areas were characterized
	by melting conditions and new ice formation with frost flowers. The
	{ERS-1} {SAR} images are classified by a local averaging method and
	a segmentation method. Parameters for the methods are derived from
	the backscattering distributions. Temporal sequences and meteorological
	information are used for consistent results. Ice concentration derived
	from {SAR} are compared with the {SSM/I} ice concentration {(NASA}
	team algorithm) and ship observations. {SSM/I} may underestimate
	the ice concentration by 20 per cent due to thin ice formation and
	melting conditions while {SAR} may overestimate. However, by using
	the {SAR} estimate of the different ice classes we believe it is
	possible to increase the accuracy of the {NASA} team algorithm. We
	conclude that it is important to compare results from different sensors
	and methods.},
  issn = {0143-1161},
  owner = {pl},
  timestamp = {2009.10.05},
  url = {http://www.informaworld.com/10.1080/01431169608949095}
}

@Article{Rigor2000,
  author    = {Ignatius G. Rigor and Roger L. Colony and Seelye Martin},
  title     = {{Variations in Surface Air Temperature Observations in the Arctic, 1979-97}},
  journal   = {Journal of Climate},
  year      = {2000},
  volume    = {13},
  number    = {5},
  month     = mar,
  pages     = {896--914},
  doi       = {10.1175%2F1520-0442%282000%29013%3C0896%3AVISATO%3E2.0.CO%3B2},
  abstract  = {The statistics of surface air temperature observations obtained from
	buoys, manned drifting stations, and meteorological land stations
	in the Arctic during 1979–97 are analyzed. Although the basic statistics
	agree with what has been published in various climatologies, the
	seasonal correlation length scales between the observations are shorter
	than the annual correlation length scales, especially during summer
	when the inhomogeneity between the ice-covered ocean and the land
	is most apparent. During autumn, winter, and spring, the monthly
	mean correlation length scales are approximately constant at about
	1000 km; during summer, the length scales are much shorter, that
	is, as low as 300 km. These revised scales are particularly important
	in the optimal interpolation of data on surface air temperature {(SAT)}
	and are used in the analysis of an improved {SAT} dataset called
	International Arctic Buoy {Programme/Polar} Exchange at the Sea Surface
	{(IABP/POLES).} Compared to observations from land stations and the
	Russian North Pole drift stations, the {IABP/POLES} dataset has higher
	correlations and lower rms errors than previous {SAT} fields and
	provides better temperature estimates, especially during summer in
	the marginal ice zones. In addition, the revised correlation length
	scales allow data taken at interior land stations to be included
	in the optimal interpretation analysis without introducing land biases
	to grid points over the ocean. The new analysis provides 12-h fields
	of air temperatures on a 100-km rectangular grid for all land and
	ocean areas of the Arctic region for the years 1979–97. The {IABP/POLES}
	dataset is then used to study spatial and temporal variations in
	{SAT.} This dataset shows that on average melt begins in the marginal
	seas by the first week of June and advances rapidly over the Arctic
	Ocean, reaching the pole by 19 June, 2 weeks later. Freeze begins
	at the pole on 16 August, and the freeze isotherm advances more slowly
	than the melt isotherm. Freeze returns to the marginal seas a month
	later than at the pole, on 21 September. Near the North Pole, the
	melt season length is about 58 days, while near the margin, the melt
	season is about 100 days. A trend of {+1В°C} (decade)в€’1 is found
	during winter in the eastern Arctic Ocean, but a trend of {в€’1В°C}
	(decade)в€’1 is found in the western Arctic Ocean. During spring,
	almost the entire Arctic shows significant warming trends. In the
	eastern Arctic Ocean this warming is as much as {2В°C} (decade)в€’1.
	The spring warming is associated with a trend toward a lengthening
	of the melt season in the eastern Arctic. The western Arctic, however,
	shows a slight shortening of the melt season. These changes in surface
	air temperature over the Arctic Ocean are related to the Arctic Oscillation,
	which accounts for more than half of the surface air temperature
	trends over Alaska, Eurasia, and the eastern Arctic Ocean but less
	than half in the western Arctic Ocean.},
  owner     = {pl},
  timestamp = {2009.10.05},
}

@Article{Rigor2002,
  author    = {Ignatius G. Rigor and John M. Wallace and Roger L. Colony},
  title     = {{Response of Sea Ice to the Arctic Oscillation}},
  journal   = {Journal of Climate},
  year      = {2002},
  volume    = {15},
  number    = {18},
  month     = sep,
  pages     = {2648--2663},
  doi       = {10.1175%2F1520-0442%282002%29015%3C2648%3AROSITT%3E2.0.CO%3B2},
  abstract  = {Data collected by the International Arctic Buoy Programme from 1979
	to 1998 are analyzed to obtain statistics of sea level pressure {(SLP)}
	and sea ice motion {(SIM).} The annual and seasonal mean fields agree
	with those obtained in previous studies of Arctic climatology. The
	data show a {3-hPa} decrease in decadal mean {SLP} over the central
	Arctic Ocean between 1979–88 and 1989–98. This decrease in {SLP}
	drives a cyclonic trend in {SIM,} which resembles the structure of
	the Arctic Oscillation {(AO).} Regression maps of {SIM} during the
	wintertime {(January–March)} {AO} index show 1) an increase in
	ice advection away from the coast of the East Siberian and Laptev
	Seas, which should have the effect of producing more new thin ice
	in the coastal flaw leads; 2) a decrease in ice advection from the
	western Arctic into the eastern Arctic; and 3) a slight increase
	in ice advection out of the Arctic through Fram Strait. Taken together,
	these changes suggest that at least part of the thinning of sea ice
	recently observed over the Arctic Ocean can be attributed to the
	trend in the {AO} toward the high-index polarity. Rigor et al. showed
	that year-to-year variations in the wintertime {AO} imprint a distinctive
	signature on surface air temperature {(SAT)} anomalies over the Arctic,
	which is reflected in the spatial pattern of temperature change from
	the 1980s to the 1990s. Here it is shown that the memory of the wintertime
	{AO} persists through most of the subsequent year: spring and autumn
	{SAT} and summertime sea ice concentration are all strongly correlated
	with the {AO} index for the previous winter. It is hypothesized that
	these delayed responses reflect the dynamical influence of the {AO}
	on the thickness of the wintertime sea ice, whose persistent “footprint”
	is reflected in the heat fluxes during the subsequent spring, in
	the extent of open water during the subsequent summer, and the heat
	liberated in the freezing of the open water during the subsequent
	autumn.},
  owner     = {pl},
  timestamp = {2009.10.05},
}

@ARTICLE{serreze_diagnosis_????,
  author = {Mark C. Serreze and James A. Maslanik and Jeffrey R. Key and Raymond
	F. Kokaly and David A. Robinson},
  title = {Diagnosis of the Record Minimum in Arctic Sea Ice Area During 1990
	and Associated Snow Cover Extremes},
  journal = {Geophys. Res. Lett.},
  volume = {22},
  abstract = {The Arctic sea ice cover exhibited its record minimum area during
	1990, characterized by extensive ice-free conditions during August
	along the Siberian coast. These reductions are consistent with warm,
	windy conditions in May and continued warmth in June promoting early
	melt and reductions in ice concentration, followed in August by strong
	coastal winds forcing a final breakup and retreat of the pack ice.
	The unusually warm Arctic conditions in 1990 are part of a larger-scale
	temperature anomaly pattern, linking the sea ice anomaly to accompanying
	record minima in Eurasian snow cover. },
  owner = {pl},
  timestamp = {2009.10.05},
  doi = {10.1029/95GL02068}
}

@ARTICLE{iceMinimum2002,
  author = {Serreze, M. C. and Maslanik, J. and Scambos, T. A. and Fetterer,
	F. and Stroeve, J. and Knowles, K. and Fowler, C. and Drobot, S.
	and Barry, R. G. and Haran, T. M.},
  title = {A Record Minimum Arctic Sea Ice Extent and Area in 2002},
  journal = {Geophys. Res. Lett.},
  year = {2003},
  volume = {30, 1110},
  doi = {10,1029/2002GL01640},
  owner = {pl},
  timestamp = {2009.10.03}
}

@Article{Smith1996,
  author  = {Smith, D.M.},
  title   = {{Extraction of winter sea-ice concentration in the Greenland and Barents Seas from SSM/I data}},
  journal = {Int. J. Remote Sensing},
  year    = {1996},
  volume  = {17},
  number  = {13},
  pages   = {2625-2646},
}

@Article{Smith1998_grl,
  author    = {Douglas M. Smith},
  title     = {{Recent Increase in the Length of the Melt Season of Perennial Arctic Sea Ice}},
  journal   = {Geophys. Res. Lett.},
  year      = {1998},
  volume    = {25},
  number    = {5},
  pages     = {655-658},
  doi       = {10.1029/98GL00251},
  abstract  = {General circulation models predict that greenhouse gas induced global
	warming will be amplified in the Arctic as a result of temperature-albedo
	feedback. Whilst recent observations of decreasing Arctic sea ice
	extent are consistent with this scenario, the possibility that such
	a trend is attributable to local effects at the ice margins rather
	than to atmospheric warming cannot be dismissed. In the absence of
	direct air temperature measurements, warming over Arctic sea ice
	may be inferred from an increasing duration of the summer melt season.
	Analysis presented here of the dates of spring melt and autumn freeze-up
	observed over a large fraction of perennial Arctic sea ice using
	passive microwave data from the {SMMR} and {SSM/I} from 1979 to 1996
	reveals an increase of 5.3 days (8\%) per decade in the number of
	melt days per summer. },
  owner     = {pl},
  timestamp = {2009.10.05},
}

@Article{Smith1998_jgr,
  author   = {Smith, Douglas M.},
  title    = {{Observation of perennial Arctic sea ice melt and freeze-up using passive microwave data}},
  journal  = {Journal of Geophysical Research: Oceans},
  year     = {1998},
  volume   = {103},
  number   = {C12},
  pages    = {27753--27769},
  issn     = {2156-2202},
  doi      = {10.1029/98JC02416},
  keywords = {Remote sensing and electromagnetic processes, Arctic and Antarctic oceanography, Climate and interannual variability},
}

@Article{Solovyev2017_MPA,
  author     = {Boris Solovyev and Vassily Spiridonov and Irina Onufrenya and Stanislav Belikov and Natalia Chernova and Dmitry Dobrynin and Maria Gavrilo and Dmitry Glazov and Yuri Krasnov and Svetlana Mukharamova and Anatoly Pantyulin and Nikita Platonov and Anatoly Saveliev and Mikhail Stishov and Grigory Tertitsky},
  title      = {Identifying a network of priority areas for conservation in the {Arctic} seas: {Practical} lessons from {Russia}},
  journal    = {Aquatic Conserv: Mar. Freshw. Ecosyst.},
  year       = {2017},
  language   = {en},
  volume     = {27},
  month      = sep,
  pages      = {30--51},
  issn       = {1099-0755},
  doi        = {10.1002/aqc.2806},
  url        = {http://onlinelibrary.wiley.com/doi/10.1002/aqc.2806/abstract},
  abstract   = {* The natural environment of the Arctic is changing rapidly owing
	to climate change. At the same time in many countries including Russia
	the region is attracting growing attention of decision-makers and
	business communities. In light of the above it is necessary to protect
	the biodiversity of the regional marine ecosystems in the most effective
	way possible, namely by establishing a network of marine protected
	areas.
	
	* Identifying conservation priority areas is a key step towards this
	goal. To achieve it, a study based on a systematic conservation planning
	approach was conducted. An expanded group of experts used the MARXAN
	algorithm to produce initial results, then discussed and refined
	them to select 47 conservation priority areas in the Russian Arctic
	seas.
	
	* The resulting network covers nearly 25\% of the Russian Arctic seas,
	which guarantees proportional representation of their biodiversity
	as well as achieving connectivity, sustainability and naturalness.
	This was largely made possible by the selected methodology, based
	on the MARXAN decision support tool supplemented by extensive post-analysis
	that helped fill any gaps inevitable in the formal approach.
	
	* Although available data were sparse, and of varying quality and
	a single regionalization scheme could not be used (as is often the
	case for such areas), the selected approach has proven successful
	for such a large area that covers both the coastal zone and parts
	of the High Seas. Such an approach could be used further to identify
	marine protected areas throughout the Arctic Ocean.},
  file       = {Full Text PDF:files/129/Solovyev et al. - 2017 - Identifying a network of priority areas for conser.pdf:application/pdf;Snapshot:files/130/abstract.html:text/html},
  keywords   = {conservation priority areas, large marine ecosystems, marine protected areas, MARXAN, Russian Arctic seas, systematic conservation planning},
  shorttitle = {Identifying a network of priority areas for conservation in the {Arctic} seas},
}

@ARTICLE{steele_adrift_????,
  author = {M. Steele and W. Ermold and S. HГѓВ¤kkinen and D. Holland and G.
	Holloway and M. Karcher and F. Kauker and W. Maslowski and N. Steiner
	and J. Zhang},
  title = {Adrift in the Beaufort Gyre: A Model Intercomparison},
  journal = {Geophys. Res. Lett.},
  volume = {28},
  abstract = {Output from six regional sea ice-ocean climate model simulations of
	the arctic seas is compared to investigate the models’ ability
	to accurately reproduce the observed late winter mean sea surface
	salinity. The results indicate general agreement within the Nordic
	seas, strong differences on the arctic continental shelves, and the
	presence of a climate drift that leads to a high salinity bias in
	most models within the Beaufort Gyre. The latter is highly sensitive
	to the wind forcing and to the simulation of freshwater sources on
	the shelves and elsewhere. },
  owner = {pl},
  timestamp = {2009.10.05},
  doi = {10.1029/2001GL012845}
}

@ARTICLE{steele_adrift_????-1,
  author = {M. Steele and W. Ermold and S. HГѓВ¤kkinen and D. Holland and G.
	Holloway and M. Karcher and F. Kauker and W. Maslowski and N. Steiner
	and J. Zhang},
  title = {Adrift in the Beaufort Gyre: A Model Intercomparison},
  journal = {Geophys. Res. Lett.},
  volume = {28},
  abstract = {Output from six regional sea ice-ocean climate model simulations of
	the arctic seas is compared to investigate the models’ ability
	to accurately reproduce the observed late winter mean sea surface
	salinity. The results indicate general agreement within the Nordic
	seas, strong differences on the arctic continental shelves, and the
	presence of a climate drift that leads to a high salinity bias in
	most models within the Beaufort Gyre. The latter is highly sensitive
	to the wind forcing and to the simulation of freshwater sources on
	the shelves and elsewhere. },
  owner = {pl},
  timestamp = {2009.10.05},
  doi = {10.1029/2001GL012845}
}

@ARTICLE{stroeve_intercomparison_1998,
  author = {Julienne Stroeve and Jim Maslanik and Li Xiaoming},
  title = {An Intercomparison of {DMSP} F11- and {F13-Derived} Sea Ice Products},
  journal = {Remote Sensing of Environment},
  year = {1998},
  volume = {64},
  pages = {132--152},
  number = {2},
  month = may,
  abstract = {Passive microwave satellite data provide an extended time series
	for monitoring of polar processes, such as variability in sea ice
	extent. To ensure consistent data sets for time series analysis of
	sea ice cover, differences between ice concentration estimates from
	similar sensors on successive spacecraft must be understood. In this
	study, the effects of changing from the {SSM/I} F11 to the F13 satellite
	are examined for a 5-month overlap period. In terms of hemispheric
	averages of mean ice concentration, the biases introduced by the
	switch from F11 to F13 are slight and are not statistically significant
	in most areas, although relatively large and significant differences
	are seen in some regions. Furthermore, differences in sea ice extent
	and total ice covered area between the two platforms were found to
	be statistically significant. Previous efforts to reduce such differences
	in geophysical parameters between earlier {SSM/Is} have focused on
	establishing relationships between the brightness temperatures. However,
	we find the relations between the F11 and F13 brightness temperatures
	to be highly sensitive to the region chosen for the analysis. Consequently,
	the choice of sample has a substantial effect on the sensor-to-sensor
	adjustment and on the resulting sea ice concentrations. Furthermore,
	analysis of ice concentrations between F8 and F11 and between F11
	and F13 shows that current attempts at a relative calibration of
	the two instruments do not offer a significant improvement in corresponding
	ice fractions.},
  doi = {doi: {DOI:} {10.1016/S0034-4257(97)00174-0}},
  issn = {0034-4257},
  owner = {pl},
  timestamp = {2009.10.05},
  url = {http://www.sciencedirect.com/science/article/B6V6V-3VY508G-3/2/8521cdc0af7f87cd4058e4a9d1d45774}
}

@Article{Stroeve1998_F11F13,
  author    = {Stroeve, J. and Xiaoming, L. and Maslanik, J.},
  title     = {{An Intercomparison of DMSP F11- and F13-derived sea ice products}},
  journal   = {J. Remote Sens. Environ},
  year      = {1998},
  volume    = {64},
  pages     = {132-152},
  owner     = {pl},
  timestamp = {2009.10.03},
  doi = {10.1016/S0034-4257(97)00174-0},
}

@ARTICLE{iceMinimum2004,
  author = {Stroeve, J. C., and Serreze, M. C. and Fetterer, F. and Arbetter,T.
	and Meier, W. and Maslanik, J. and Knowles, K},
  title = {Tracking the {A}rctic’s shrinking ice cover: Another extreme {S}eptember
	minimum in 2004},
  journal = {Geophys. Res. Lett.},
  year = {2005},
  volume = {32, L04501},
  doi = {doi:10.1029/2004GL021810},
  owner = {pl},
  timestamp = {2009.10.03}
}

@ARTICLE{thompson_arctic_????,
  author = {David W. J. Thompson and John M. Wallace},
  title = {The Arctic Oscillation Signature in the Wintertime Geopotential Height
	and Temperature Fields},
  journal = {Geophys. Res. Lett.},
  volume = {25},
  abstract = {The leading empirical orthogonal function of the wintertime sea-level
	pressure field is more strongly coupled to surface air temperature
	fluctuations over the Eurasian continent than the North Atlantic
	Oscillation {(NAO).} It resembles the {NAO} in many respects; but
	its primary center of action covers more of the Arctic, giving it
	a more zonally symmetric appearance. Coupled to strong fluctuations
	at the {50-hPa} level on the intraseasonal, interannual, and interdecadal
	time scales, this {“Arctic} Oscillation” {(AO)} can be
	interpreted as the surface signature of modulations in the strength
	of the polar vortex aloft. It is proposed that the zonally asymmetric
	surface air temperature and mid-tropospheric circulation anomalies
	observed in association with the {AO} may be secondary baroclinic
	features induced by the land-sea contrasts. The same modal structure
	is mirrored in the pronounced trends in winter and springtime surface
	air temperature, sea-level pressure, and {50-hPa} height over the
	past 30 years: parts of Eurasia have warmed by as much as several
	K, sea-level pressure over parts of the Arctic has fallen by 4 {hPa,}
	and the core of the lower stratospheric polar vortex has cooled by
	several K. These trends can be interpreted as the development of
	a systematic bias in one of the atmosphere’s dominant, naturally
	occurring modes of variability. },
  owner = {pl},
  timestamp = {2009.10.05},
  doi = {10.1029/98GL00950}
}

@ARTICLE{thompson_annular_2000,
  author = {David W. J. Thompson and John M. Wallace},
  title = {Annular Modes in the Extratropical Circulation. Part I: {Month-to-Month}
	Variability*},
  journal = {Journal of Climate},
  year = {2000},
  volume = {13},
  pages = {1000--1016 },
  number = {5},
  month = mar,
  abstract = {The leading modes of variability of the extratropical circulation
	in both hemispheres are characterized by deep, zonally symmetric
	or “annular” structures, with geopotential height perturbations
	of opposing signs in the polar cap region and in the surrounding
	zonal ring centered near 45В° latitude. The structure and dynamics
	of the Southern Hemisphere {(SH)} annular mode have been extensively
	documented, whereas the existence of a Northern Hemisphere {(NH)}
	mode, herein referred to as the Arctic Oscillation {(AO),} has only
	recently been recognized. Like the {SH} mode, the {AO} can be defined
	as the leading empirical orthogonal function of the sea level pressure
	field or of the zonally symmetric geopotential height or zonal wind
	fields. In this paper the structure and seasonality of the {NH} and
	{SH} modes are compared based on data from the National Centers for
	Environmental {Prediction–National} Center for Atmospheric Research
	reanalysis and supplementary datasets. The structures of the {NH}
	and {SH} annular modes are shown to be remarkably similar, not only
	in the zonally averaged geopotential height and zonal wind fields,
	but in the mean meridional circulations as well. Both exist year-round
	in the troposphere, but they amplify with height upward into the
	stratosphere during those seasons in which the strength of the zonal
	flow is conducive to strong planetary wave–mean flow interaction:
	midwinter in the {NH} and late spring in the {SH.} During these “active
	seasons,” the annular modes modulate the strength of the Lagrangian
	mean circulation in the lower stratosphere, total column ozone and
	tropopause height over mid- and high latitudes, and the strength
	of the trade winds of their respective hemispheres. The {NH} mode
	also contains an embedded planetary wave signature with expressions
	in surface air temperature, precipitation, total column ozone, and
	tropopause height. It is argued that the horizontal temperature advection
	by the perturbed zonal-mean zonal wind field in the lower troposphere
	is instrumental in forcing this pattern. A companion paper documents
	the striking resemblance between the structure of the annular modes
	and observed climate trends over the past few decades.},
  owner = {pl},
  timestamp = {2009.10.05},
  doi = {10.1175%2F1520-0442%282000%29013%3C1000%3AAMITEC%3E2.0.CO%3B2}
}

@ARTICLE{thompson_annular_2000-1,
  author = {David W. J. Thompson and John M. Wallace},
  title = {Annular Modes in the Extratropical Circulation. Part I: {Month-to-Month}
	Variability*},
  journal = {Journal of Climate},
  year = {2000},
  volume = {13},
  pages = {1000--1016 },
  number = {5},
  month = mar,
  abstract = {The leading modes of variability of the extratropical circulation
	in both hemispheres are characterized by deep, zonally symmetric
	or “annular” structures, with geopotential height perturbations
	of opposing signs in the polar cap region and in the surrounding
	zonal ring centered near 45В° latitude. The structure and dynamics
	of the Southern Hemisphere {(SH)} annular mode have been extensively
	documented, whereas the existence of a Northern Hemisphere {(NH)}
	mode, herein referred to as the Arctic Oscillation {(AO),} has only
	recently been recognized. Like the {SH} mode, the {AO} can be defined
	as the leading empirical orthogonal function of the sea level pressure
	field or of the zonally symmetric geopotential height or zonal wind
	fields. In this paper the structure and seasonality of the {NH} and
	{SH} modes are compared based on data from the National Centers for
	Environmental {Prediction–National} Center for Atmospheric Research
	reanalysis and supplementary datasets. The structures of the {NH}
	and {SH} annular modes are shown to be remarkably similar, not only
	in the zonally averaged geopotential height and zonal wind fields,
	but in the mean meridional circulations as well. Both exist year-round
	in the troposphere, but they amplify with height upward into the
	stratosphere during those seasons in which the strength of the zonal
	flow is conducive to strong planetary wave–mean flow interaction:
	midwinter in the {NH} and late spring in the {SH.} During these “active
	seasons,” the annular modes modulate the strength of the Lagrangian
	mean circulation in the lower stratosphere, total column ozone and
	tropopause height over mid- and high latitudes, and the strength
	of the trade winds of their respective hemispheres. The {NH} mode
	also contains an embedded planetary wave signature with expressions
	in surface air temperature, precipitation, total column ozone, and
	tropopause height. It is argued that the horizontal temperature advection
	by the perturbed zonal-mean zonal wind field in the lower troposphere
	is instrumental in forcing this pattern. A companion paper documents
	the striking resemblance between the structure of the annular modes
	and observed climate trends over the past few decades.},
  owner = {pl},
  timestamp = {2009.10.05},
  doi = {10.1175%2F1520-0442%282000%29013%3C1000%3AAMITEC%3E2.0.CO%3B2}
}

@Article{Vinnikov2002,
  author  = {Vinnikov, K. Y. and Robock, A. and Cavalieri, D. J. and Parkinson, C. L.},
  title   = {Analysis of seasonal cycles in climatic trends with application to satellite observations of sea ice extent},
  journal = {Geophys. Res. Lett.},
  year    = {2002},
  volume  = {29},
  number  = {9},
  pages   = {10.1029 - 10.1032},
}

@ARTICLE{walsh_recent_1996,
  author = {John E. Walsh and William L. Chapman and Timothy L. Shy},
  title = {Recent Decrease of Sea Level Pressure in the Central Arctic},
  journal = {Journal of Climate},
  year = {1996},
  volume = {9},
  pages = {480--486 },
  number = {2},
  month = feb,
  abstract = {Arctic sea level pressure data from the period of the Arctic Ocean
	Buoy Program show a significant decrease in the annual mean. In every
	calendar month, the annual mean is lower in the second half of the
	1979–1994 period than in the first. The changes of the annual means
	are larger in the central Arctic than anywhere else in the Northern
	Hemisphere. The decreases are largest and statistically significant
	in the autumn and winter. The annual anomalies became negative relative
	to the 16-yr mean in the 1980s and have been negative in every year
	since 1988. Correspondingly, the mean anticyclone in the Arctic pressure
	field has weakened and the vorticity of the gradient wind field over
	the central Arctic Ocean has become more positive than at any time
	in the past several decades. The pressure decrease, which has been
	compensated by pressure increases over the subpolar oceans, implies
	that the wind forcing of sea ice contains an enhanced cyclonic component
	relative to earlier decades.},
  owner = {pl},
  timestamp = {2009.10.05},
  doi = {10.1175%2F1520-0442%281996%29009%3C0480%3ARDOSLP%3E2.0.CO%3B2}
}

@ELECTRONIC{proj4,
  author = {Frank Warmerdam},
  year = {2008},
  title = {{Coordinate Systems: PROJ.4, EPSG and OGC WKT}},
  abstract = {A practical review of how to identify and specify coordinate systems
	for applications built on PROJ.4, use of EPSG codes or use of OGC
	Well Known Text. Detailed examples will be given for a variety of
	coordinate system, including examples of how it would be used with
	applications such as MapServer, GRASS, GDAL/OGR, and PostGIS. However,
	the techniques should apply to any application built on the same
	representations.},
  conference = {FOSS4G 2008},
  url = {http://2008.foss4g.org/paper/view/177.1.html},
  urldate = {2018-11-23},
}

@Article{Winebrenner1994,
  author    = {D. P. Winebrenner and E. D. Nelson and R. Colony and R. D. West},
  title     = {{Observation of melt onset on multiyear Arctic sea ice using the ERS 1 synthetic aperture radar}},
  journal   = {J. Geophys. Res.},
  year      = {1994},
  volume    = {99},
  pages     = {22425-22441},
  doi       = {10.1029/94JC01268},
  abstract  = {We present nearly coincident observations of backscattering from the
	{ERS} 1 synthetic aperture radar {(SAR)} and of near-surface temperature
	from six drifting buoys in the Beaufort Sea, showing that the onset
	of melting in snow on multiyear sea ice is clearly detectable in
	the {SAR} data. Melt onset is marked by a clean, steep decrease in
	the backscattering cross section of multiyear ice at 5.3 {GHz} and
	{VV} polarization. We investigate the scattering physics responsible
	for the signature change and find that the cross section decrease
	is due solely to the appearance of liquid water in the snow cover
	overlying the ice. A thin layer of moist snow is sufficient to cause
	the observed decrease. We present a prototype algorithm to estimate
	the date of melt onset using the {ERS} 1 {SAR} and apply the algorithm
	first to the {SAR} data for which we have corresponding buoy temperatures.
	The melt onset dates estimated by the {SAR} algorithm agree with
	those obtained independently from the temperature data to within
	4 days or less, with the exception of one case in which temperatures
	oscillated about {0В°C} for several weeks. Lastly, we apply the algorithm
	to the entire {ERS} 1 {SAR} data record acquired by the Alaska {SAR}
	Facility for the Beaufort Sea north of {73В°N} during the spring
	of 1992, to produce a map of the dates of melt onset over an area
	roughly 1000 km on a side. The progression of melt onset is primarily
	poleward but shows a weak meridional dependence at latitudes of approximately
	{76°–77°N.} Melting begins in the southern part of the study
	region on June 13 and by June 20 has progressed to the northernmost
	part of the region.},
  owner     = {pl},
  timestamp = {2009.10.05},
}

@InBook{Winebrenner1998,
  author    = {Winebrenner, D.P. and D.G. Long and B. Holt},
  title     = {{Mapping the Progression of Melt Onset and Freeze-up on Arctic Sea Ice using SAR and Scatterometry}},
  booktitle = {Analysis of SAR Data of the Polar Oceans},
  year      = {1998},
  editor    = {C. Tsatsoulis and R. Kwok},
  publisher = {Springer-Verlag, Berlin},
  chapter   = {7},
  pages     = {129-144.},
}

@Article{Yackel2001,
  author  = {Yackel, J.J. and Barber, D.G. and Papakyriakou, T.N.},
  title   = {{On the estimation of spring melt in the North Water Polynya using RADARSAT-1}},
  journal = {Atmosphere-Oceans},
  year    = {2001},
  volume  = {39},
  pages   = {195-208},
  doi     = {10.1080/07055900.2001.9649676},
}

@Article{yackel_melt_????,
  author    = {J. J. Yackel and D. G. Barber},
  title     = {{Melt ponds on sea ice in the Canadian Archipelago 2. On the use of RADARSAT-1 synthetic aperture radar for geophysical inversion}},
  journal   = {J. Geophys. Res.},
  volume    = {105},
  doi       = {10.1029/2000JC900076},
  abstract  = {Microwave scattering from a first-year sea ice {(FYI)} melt ponded
	surface is examined using {RADARSAT-1} synthetic aperture radar {(SAR)}
	data collected during the 1997 {Collaborative-Interdisciplinary}
	Cryospheric Experiment {(C-ICE'97)} near Resolute Bay, Nunavut. This
	paper (1) investigates the utility of time series of microwave scattering
	to detect melt pond formation and (2) investigates approaches toward
	geophysically inverting information on the physical and radiative
	properties of this surface. We found melt pond formation to coincide
	with a sharp rise in the temporal evolution of the microwave scattering
	coefficient (ПѓВ°) over {FYI.} {RADARSAT-1} incidence angle and surface
	wind speed explained {\textgreater} 90\% of the variation in ПѓВ°.
	{RADARSAT-1} ПѓВ° was sensitive {(R} 2 = 0.80) to the fractional
	coverage of melt ponds during windy conditions (в€ј 5.3 m sв€’1).
	Spatial and temporal coincident measurements of {RADARSAT-1} ПѓВ°
	and the integrated shortwave albedo revealed a strong negative statistical
	correlation {(R} 2 = 0.91) during windy conditions (в€ј 5.3 m sв€’1).
	A weaker, but strong, negative relationship {(R} 2 = 0.78) was observed
	for less windy conditions (в€ј 3.2 m sв€’1), and a very weak positive
	relationship {(R} 2 = 0.19) was found for low wind speed conditions
	(в€ј 1.5 m sв€’1). All relationships were observed for melt pond
	fractions between 13 and 34\%.},
  owner     = {pl},
  timestamp = {2009.10.05},
}

@ARTICLE{Zeileis2003,
  author = {Achim Zeileis and Christian Kleiber and Walter Kramer and Kurt Hornik},
  title = {Testing and dating of structural changes in practice},
  journal = {Computational Statistics \& Data Analysis},
  year = {2003},
  volume = {44},
  pages = {109 - 123},
  number = {1},
  note = {Special Issue in Honour of Stan Azen: a Birthday Celebration},
  doi = {10.1016/S0167-9473(03)00030-6},
  issn = {0167-9473},
  keywords = {Structural change, Changepoint problem, Segmented Regressions, Bellman
	principle},
  url = {http://www.sciencedirect.com/science/article/pii/S0167947303000306}
}

@ARTICLE{zhang_recent_2000,
  author = {Jinlun Zhang and Drew Rothrock and Michael Steele},
  title = {Recent Changes in Arctic Sea Ice: The Interplay between Ice Dynamics
	and Thermodynamics},
  journal = {Journal of Climate},
  year = {2000},
  volume = {13},
  pages = {3099--3114 },
  number = {17},
  month = sep,
  abstract = {It is well established that periods of high North Atlantic oscillation
	{(NAO)} index are characterized by a weakening of the surface high
	pressure and surface anticyclone in the Beaufort Sea and the intensification
	of the cyclonic circulation in the eastern Arctic Ocean. The response
	of Arctic sea ice to these atmospheric changes has been studied with
	a thickness distribution sea-ice model coupled to an ocean model.
	During a period of high {NAO,} 1989–96, the model shows a substantial
	reduction of ice advection into the eastern Arctic from the Canada
	Basin, and an increase of ice export through Fram Strait, both of
	which tend to deplete thick ice in the eastern Arctic Ocean and enhance
	it in the western Arctic, in an uneven dipolar pattern we call the
	{East–West} Arctic Anomaly Pattern {(EWAAP).} From the period 1979–88
	with a {lower-NAO} index to the period 1988–96 with a {high-NAO}
	index, the simulated ice volume in the eastern Arctic drops by about
	a quarter, while that in the western Arctic increases by 16\%. Overall,
	the Arctic Ocean loses 6\%. The change from 1987 to 1996 is even
	larger—a loss of some 20\% in ice volume for the whole Arctic.
	Both the model and satellite data show a significant reduction in
	ice extent in the eastern Arctic and in the Arctic Ocean as a whole.
	There are corresponding changes in open water and therefore in ice
	growth, which tend to moderate the anomaly, and in lateral melting,
	which tends to enhance the anomaly. During the high {NAO} and strong
	{EWAAP} period, 1989–96, the eastern (western) Arctic has more
	(less) open water and enhanced (reduced) winter ice growth, so ice
	growth stabilizes the ice cover. On the other hand, the increased
	(decreased) open water enhances (reduces) summer melt by lowering
	(increasing) albedo in the eastern (western) Arctic. The nonlinearity
	of ice– albedo feedback causes the increased summer melt in the
	eastern Arctic to dominate the thermodynamic response and to collaborate
	with the ice advection pattern to enhance the {EWAAP} during high
	{NAO.}},
  owner = {pl},
  timestamp = {2009.10.05},
  doi = {10.1175%2F1520-0442%282000%29013%3C3099%3ARCIASI%3E2.0.CO%3B2}
}

@Article{BelchKozlenko1996_izk,
  author  = {Бельчанский, Г.И. and Дуглас, Д. К. and Козленко, Н. Н.},
  title   = {Оценка типов и концентраций морского льда по спутниковым данным двухканальных микроволновых активной и пассивной систем наблюдения},
   annote = {ru},
  journal = {Исслед. Земли из космоса},
  year    = {1996},
  volume  = {6},
  number  = {6},
  pages   = {28-39},
}

@Article{Belchasky1995_DAN,
  author   = {Бельчанский, Г. И.},
  title    = {К вопросу индикации глобальных изменений по трендам протяженности ледяного покрова с использованием спутниковых данных},
   annote = {ru},
  journal  = {Докл. АН.},
  year     = {1995},
  language = {russian},
  volume   = {343},
  pages    = {130-135},
}

@Article{Belchansky1998_izk,
  author    = {Бельчанский, Г. И. and Дуглас, Д. С. and Мордвинцев, И. Н.},
  title     = {Идентификация типов морского льда по радарным данным спутников {"Океан-01"} и эталонным таблицам},
   annote = {ru},
  journal   = {Исслед. Земли из космоса},
  year      = {1998},
  number    = {6},
  pages     = {52-65},
  owner     = {pl},
  timestamp = {2009.10.03},
}

@Article{Belchansky1996_izk,
  author    = {Бельчанский, Г. И. and Дуглас, Д. С. and Козленко, Н. Н.},
  title     = {Оценка типов и концентраций морского льда по спутниковым данным двухканальных микроволновых активной и пассивной систем наблюдения},
   annote = {ru},
  journal   = {Исслед. Земли из космоса},
  year      = {1996},
  number    = {6},
  owner     = {pl},
  timestamp = {2009.10.03},
}

@Article{Belchansly1993_izk,
  author  = {Бельчанский, Г. И. and Овчинников, Г. К. and Дуглас, Д.},
  title   = {Обработка данных космического мониторинга для документирования параметров среды обитания млекопитающих {А}рктики},
   annote = {ru},
  journal = {Исслед. Земли из космоса},
  year    = {1993},
  number  = {4},
  pages   = {44-53},
}

@Article{MeltPonds2002_izk,
  author   = {Бельчанский, Г. И. and Платонов, Н. Г.},
  title    = {Оценивание и документирование талых озер и альбедо морского льда по данным спутниковых микроволновых измерений},
  annote = {ru},
  journal  = {Исследование Земли из Космоса},
  year     = {2002},
  language = {russian},
  number   = {1},
  pages    = {51-66},
}

@Article{Glazov2013_walrus,
  author    = {Д.М. Глазов and О.В. Шпак and Д.М. Кузнецова and Б.А. Соловьев and Д.А. Удовик and Н.Г. Платонов and И.Н. Мордвинцев and Д.И. Иванов and В.В. Рожнов},
  title     = {Наблюдения моржей ({\emph{Odobenus rosmarus}}) в морях {Баренцевом}, {Карском} и море {Лаптевых} в 2010–2012 гг.},
   annote = {ru},
  journal   = {Зоологический журнал},
  year      = {2013},
  volume    = {92},
  number    = {7},
  language  = {russian},
  pages     = {841–848},
  url       = {http://beluga.sevin-expedition.ru/netcat_files/106/57/ZOO0841_.pdf},
  timestamp = {2017.09.22},
}

@ARTICLE{Eremeev2003,
  author = {Еремеев, В. А.},
  title = {К вопросу создания консистентных баз данных радиояркостных температур
   annote = {ru},
	с различных спутниковых систем для изучения вариабельности геофизических
	параметров ледового покрова {А}рктики.},
  journal = {Исследование Земли из Космоса},
  year = {2003},
  pages = {1-14},
  number = {2},
  language = {russian}
}

@Book{Kondratiev1992,
  author    = {Кондратьев, К. Я.},
  title     = {Глобальный Климат},
   annote = {ru},
  year      = {1992},
  language  = {russian},
  publisher = {Наука},
  address   = {М.},
  pagetotal  = {365},
}

@BOOK{Korn,
  title = {Справочник по математике для научных работников и инженеров},
   annote = {ru},
  publisher = {«Наука»},
  year = {1974},
  author = {Корн, Г.А. and Корн, Т.М.},
  address = {Москва},
  language = {russian},
}

@Article{Naidenko2013_seropos,
  author    = {С.В. Найденко and Е.А. Иванов and И.Н. Мордвинцев and Н.Г. Платонов and Р.В. Ершов and В.В. Рожнов},
  title     = {Серопозитивность белых медведей (\textit{{U}rsus maritimus}) островов {Баренцева моря} к различным патогенам.},
   annote = {ru},
  journal   = {Зоологический журнал},
  year      = {2013},
  volume    = {92},
  number    = {2},
  pages     = {248–252},
  url       = {http://bear.sevin-expedition.ru/netcat_files/146/81/Naydenko_2013_2_ob.pdf, http://bear.sevin-expedition.ru/netcat_files/146/81/Naydenko_2013_1.pdf},
  timestamp = {2017.09.22},
  doi       = {10.7868/S004451341302013X},
}

@Article{Platonov2012_ndvi,
  author    = {Н.Г. Платонов and И.Н. Мордвинцев and И.В. Алпацкий},
  title     = {Оценка взаимосвязи между состоянием растительности {Субарктики} и климатическими параметрами},
   annote = {ru},
  journal   = {Исследование Земли из космоса},
  year      = {2012},
  volume    = {5},
  pages     = {53-63},
  url       = {http://elibrary.ru/item.asp?id=17936909},
  timestamp = {2017.09.22},
}
@article{Platonov2013_ndvi_en,
	doi = {10.1134/s0001433813090120},
	year = 2013,
	month = {dec},
	publisher = {Pleiades Publishing Ltd},
	volume = {49},
	number = {9},
	pages = {1019--1028},
	author = {N. G. Platonov and I. N. Mordvintsev and I. V. Alpatsky},
	title = {Estimate of relationship between state of {S}ubarctic vegetation and climatic parameters},
	journal = {Izvestiya, Atmospheric and Oceanic Physics}
}

@Article{Platonov2013_geoeye,
  author    = {Н.Г. Платонов and И.Н Мордвинцев and В.В. Рожнов},
  title     = {О возможности использования спутниковых изображений высокого разрешения для обнаружения морских млекопитающих},
   annote = {ru},
  journal   = {Известия РАН. Серия биологическая},
  year      = {2013},
  volume    = {№ 2},
  pages     = {217–226},
  url       = {http://bear.sevin-expedition.ru/netcat_files/146/81/Platonov_2013_2_ob.pdf},
  timestamp = {2017.09.22},
}

@Article{Platonov2012_summerMin2011,
  author    = {Н.Г. Платонов and И.Н. Мордвинцев and В.В. Рожнов and И.В. Алпацкий},
  title     = {Анализ состояния ледового покрова {Арктики} в период летнего минимума 2011 г.},
   annote = {ru},
  journal   = {Исследование Земли из космоса},
  year      = {2012},
  volume    = {4},
  pages     = {12-26},
  url       = {http://elibrary.ru/item.asp?id=17845666},
  timestamp = {2017.09.22},
}

@Article{Platonov2014_drift_ru,
  author    = {Н.Г. Платонов and В.В. Рожнов and И.В. Алпацкий and И.Н. Мордвинцев and Е.А. Иванов and С.В. Найденко},
  title     = {Оценка перемещений белого медведя с учетом дрейфа льда.},
   annote = {ru},
  journal   = {Доклады Академии наук: Общая биология},
  year      = {2014},
  volume    = {456},
  number    = {3},
  pages     = {366-369},
  url       = {http://bear.sevin-expedition.ru/netcat_files/146/81/Platonov_2014_2.pdf},
  doi       = {10.7868/S0869565214150249},
  timestamp = {2017.09.22},
}
@Article{Platonov2014_drift_en,
   author="Platonov, N. G. and Rozhnov, V. V. and Alpatsky, I. V. and Mordvintsev, I. N. and Ivanov, E. A. and Naidenko, S. V.",
   title="Evaluation of polar bear movement patterns in relation to sea ice drift",
   journal="Doklady Biological Sciences",
   publisher = {Pleiades Publishing Ltd},
   year="2014",
   month="May",
   volume="456",
   number="1",
   pages="191--194",
   issn="1608-3105",
   doi="10.1134/S0012496614030090",
}

@InProceedings{Rozhnov2014_Holarctic,
  author    = {В.В. Рожнов and Р.В. Ершов and Е.А. Иванов and А.Г. Кирилов and И.А. Котрехов and Д.Р. Крюков and И.А. Мизин and И.Ю. Молодцов and Т.А. Молодцова and И.Н. Мордвинцев and С.В. Найденко and Р.А. Перхуров and Н.Г. Платонов and И.В. Покровская and М.А. Пухова},
  title     = {Встречаемость белого медведя на мысе {Желания} (архипелаг {Новая Земля}) в летний период 2011-2014 гг.},
   annote = {ru},
  year      = {2015},
  volume    = {2},
  publisher = {Морские млекопитающие Голарктики 2014. Сборник научных трудов.},
  pages     = {93-100},
  url       = {{http://www.2mn.org/downloads/bookshelf/mmh8_vol2.pdf} {http://rus-arc.ru/ShareFiles/Publications/Rozhnov_et_al_2014_Polar_bear_NZ_MMH_abstract.pdf}},
  address   = {Москва},
  owner     = {CCC},
  timestamp = {2017.09.22},
}

@Article{Rozhnov2014_FJL2011,
  author   = {В.В. Рожнов and Н.Г. Платонов and И.Н. Мордвинцев and С.В. Найденко and Е.А. Иванов and Р.В. Ершов},
  title    = {Перемещения радиомеченых самок белого медведя (\emph{Ursus maritimus}) на острове Земля Александры (архипелаг Земля Франца-Иосифа) в безледный период осенью 2011 г.},
   annote = {ru},
  journal  = {Зоологический журнал},
  year     = {2014},
  volume   = {93},
  number   = {11},
  pages    = {1354--1368},
  issn     = {0044-5134},
  doi      = {10.7868/S0044513414080091},
  url      = {http://elibrary.ru/item.asp?doi=10.7868/S0044513414080091},
}

@InProceedings{Platonov2012_Holarctic,
  author       = {Б.А. Соловьев and Н.Г. Платонов and В.В. Рожнов and И.Н Мордвинцев},
  title        = {Судовые и авиационные наблюдения белого медведя (\emph{{Ursus maritimus}}) в октябре 2010 г. на побережье {о. Врангеля}},
   annote = {ru},
  booktitle    = {Морские млекопитающие Голарктики 2012. Сборник научных трудов},
  year         = {2012},
  volume       = {Т. 2.},
  organization = {СММ},
  pages        = {260-264},
  url          = {http://bear.sevin-expedition.ru/netcat_files/146/81/vol2_final_24122012_7.pdf},
  address      = {Москва},
  timestamp    = {2017.09.22},
}

@MISC{_jc092ic07p06825.ris_????,
  title = {{JC092iC07p06825.ris}},
  owner = {pl},
  timestamp = {2009.10.05}
}

@MISC{_zotero_????,
  title = {Zotero - Quick Start Guide},
  owner = {pl},
  timestamp = {2009.10.05},
  url = {http://www.zotero.org/documentation/quick_start_guide}
}

@MISC{__2004,
  howpublished = {{http://dx.doi.org/10.1175\%2F1520-0442\%282004\%29017\%3C0067\%3ADOTASI\%3E2.0.CO\%3B2}},
  year = {2004},
  abstract = {Melt onset dates, freeze onset dates, and melt season duration were
	estimated over Arctic sea ice, 1979\&\#8211;2001, using passive microwave
	satellite imagery and surface air temperature data. Sea ice melt
	duration for the entire Northern Hemisphere varied from a 104-day
	minimum in 1983 and 1996 to a 124-day maximum in 1989. Ranges in
	melt duration were highest in peripheral seas, numbering 32, 42,
	44, and 51 days in the Laptev, {Barents-Kara,} East Siberian, and
	Chukchi Seas, respectively. In the Arctic Ocean, average melt duration
	varied from a 75-day minimum in 1987 to a 103-day maximum in 1989.
	On average, melt onset in annual ice began 10.6 days earlier than
	perennial ice, and freeze onset in perennial ice commenced 18.4 days
	earlier than annual ice. Average annual melt dates, freeze dates,
	and melt durations in annual ice were significantly correlated with
	seasonal strength of the Arctic Oscillation {(AO).} Following high-index
	{AO} winters {(January\&\#8211;March),} spring melt tended to be
	earlier and autumn freeze later, leading to longer melt season durations.
	The largest increases in melt duration were observed in the eastern
	Siberian Arctic, coincident with cyclonic low pressure and ice motion
	anomalies associated with high-index {AO} phases. Following a positive
	{AO} shift in 1989, mean annual melt duration increased 2\&\#8211;3
	weeks in the northern East Siberian and Chukchi Seas. Decreasing
	correlations between consecutive-year maps of melt onset in annual
	ice during 1979\&\#8211;2001 indicated increasing spatial variability
	and unpredictability in melt distributions from one year to the next.
	Despite recent declines in the winter {AO} index, recent melt distributions
	did not show evidence of reestablishing spatial patterns similar
	to those observed during the 1979\&\#8211;88 low-index {AO} period.
	Recent freeze distributions have become increasingly similar to those
	observed during 1979\&\#8211;88, suggesting a recurrent spatial pattern
	of freeze chronology under low-index {AO} conditions.},
  owner = {pl},
  timestamp = {2009.10.05},
  doi = {10.1175%2F1520-0442%282004%29017%3C0067%3ADOTASI%3E2.0.CO%3B2}
}

@MISC{__2004-1,
  howpublished = {{http://dx.doi.org/10.1175\%2F1520-0442\%282004\%29017\%3C0067\%3ADOTASI\%3E2.0.CO\%3B2}},
  year = {2004},
  abstract = {Melt onset dates, freeze onset dates, and melt season duration were
	estimated over Arctic sea ice, 1979\&\#8211;2001, using passive microwave
	satellite imagery and surface air temperature data. Sea ice melt
	duration for the entire Northern Hemisphere varied from a 104-day
	minimum in 1983 and 1996 to a 124-day maximum in 1989. Ranges in
	melt duration were highest in peripheral seas, numbering 32, 42,
	44, and 51 days in the Laptev, {Barents-Kara,} East Siberian, and
	Chukchi Seas, respectively. In the Arctic Ocean, average melt duration
	varied from a 75-day minimum in 1987 to a 103-day maximum in 1989.
	On average, melt onset in annual ice began 10.6 days earlier than
	perennial ice, and freeze onset in perennial ice commenced 18.4 days
	earlier than annual ice. Average annual melt dates, freeze dates,
	and melt durations in annual ice were significantly correlated with
	seasonal strength of the Arctic Oscillation {(AO).} Following high-index
	{AO} winters {(January\&\#8211;March),} spring melt tended to be
	earlier and autumn freeze later, leading to longer melt season durations.
	The largest increases in melt duration were observed in the eastern
	Siberian Arctic, coincident with cyclonic low pressure and ice motion
	anomalies associated with high-index {AO} phases. Following a positive
	{AO} shift in 1989, mean annual melt duration increased 2\&\#8211;3
	weeks in the northern East Siberian and Chukchi Seas. Decreasing
	correlations between consecutive-year maps of melt onset in annual
	ice during 1979\&\#8211;2001 indicated increasing spatial variability
	and unpredictability in melt distributions from one year to the next.
	Despite recent declines in the winter {AO} index, recent melt distributions
	did not show evidence of reestablishing spatial patterns similar
	to those observed during the 1979\&\#8211;88 low-index {AO} period.
	Recent freeze distributions have become increasingly similar to those
	observed during 1979\&\#8211;88, suggesting a recurrent spatial pattern
	of freeze chronology under low-index {AO} conditions.},
  owner = {pl},
  timestamp = {2009.10.05},
  doi = {10.1175%2F1520-0442%282004%29017%3C0067%3ADOTASI%3E2.0.CO%3B2}
}

@MISC{__2000,
  howpublished = {{http://dx.doi.org/10.1175\%2F1520-0442\%282000\%29013\%3C0617\%3AASIVIT\%3E2.0.CO\%3B2}},
  month = feb,
  year = {2000},
  abstract = {Forty years (1958\&\#8211;97) of reanalysis products and corresponding
	sea ice concentration data are used to document Arctic sea ice variability
	and its association with surface air temperature {(SAT)} and sea
	level pressure {(SLP)} throughout the Northern Hemisphere extratropics.
	The dominant mode of winter {(January\&\#8211;March)} sea ice variability
	exhibits out-of-phase fluctuations between the western and eastern
	North Atlantic, together with a weaker dipole in the North Pacific.
	The time series of this mode has a high winter-to-winter autocorrelation
	(0.69) and is dominated by decadal-scale variations and a longer-term
	trend of diminishing ice cover east of Greenland and increasing ice
	cover west of Greenland. Associated with the dominant pattern of
	winter sea ice variability are large-scale changes in {SAT} and {SLP}
	that closely resemble the North Atlantic oscillation. The associated
	{SAT} and surface sensible and latent heat flux anomalies are largest
	over the portions of the marginal sea ice zone in which the trends
	of ice coverage have been greatest, although the well-documented
	warming of the northern continental regions is also apparent. The
	temporal and spatial relationships between the {SLP} and ice anomaly
	fields are consistent with the notion that atmospheric circulation
	anomalies force the sea ice variations. However, there appears to
	be a local response of the atmospheric circulation to the changing
	sea ice cover east of Greenland. Specifically, cyclone frequencies
	have increased and mean {SLPs} have decreased over the retracted
	ice margin in the Greenland Sea, and these changes differ from those
	associated directly with the North Atlantic oscillation. The dominant
	mode of sea ice variability in summer {(July\&\#8211;September)}
	is more spatially uniform than that in winter. Summer ice extent
	for the Arctic as a whole has exhibited a nearly monotonic decline
	(\&\#8722;4\&\#37; decade\&\#8722;1) during the past 40 yr. Summer
	sea ice variations appear to be initiated by atmospheric circulation
	anomalies over the high Arctic in late spring. Positive ice\&\#8211;albedo
	feedback may account for the relatively long delay (2\&\#8211;3 months)
	between the time of atmospheric forcing and the maximum ice response,
	and it may have served to amplify the summer ice retreat.},
  owner = {pl},
  timestamp = {2009.10.05},
  doi = {10.1175%2F1520-0442%282000%29013%3C0617%3AASIVIT%3E2.0.CO%3B2}
}

@Article{Yakel2007,
  author   = {{Yackel}, J.~J. and {Barber}, D.~G. and {Papakyriakou}, T.~N. and {Breneman}, C.},
  title    = {{First-year sea ice spring melt transitions in the Canadian Arctic Archipelago from time-series synthetic aperture radar data, 1992-2002}},
  journal  = {Hydrological Processes},
  year     = {2007},
  volume   = {21},
  month    = jan,
  pages    = {253-265},
  doi      = {10.1002/hyp.6240},
  adsnote  = {Provided by the SAO/NASA Astrophysics Data System},
  adsurl   = {http://adsabs.harvard.edu/abs/2007HyPr...21..253Y},
  keywords = {first-year sea ice, snow thickness, melt onset, albedo, SAR, time-series},
}

@Article{Mortin2016,
  author   = {Mortin, Jonas and Svensson, Gunilla and Graversen, Rune G. and Kapsch, Marie-Luise and Stroeve, Julienne C. and Boisvert, Linette N.},
  title    = {{Melt onset over Arctic sea ice controlled by atmospheric moisture transport}},
  journal  = {Geophysical Research Letters},
  year     = {2016},
  volume   = {43},
  number   = {12},
  pages    = {6636--6642},
  note     = {2016GL069330},
  issn     = {1944-8007},
  doi      = {10.1002/2016GL069330},
  keywords = {Sea ice, Remote sensing, Radiative processes, Polar meteorology, Arctic region, Arctic sea ice, melt onset, remote sensing, climate variability, polar meteorology},
}

@Online{AHRA_v2,
  author       = {Anderson, M. and A. C. Bliss, and S. Drobot},
  title        = {Snow Melt Onset Over Arctic Sea Ice from SMMR and SSM/I-SSMIS Brightness Temperatures, Version 2},
  year         = {2009},
  url          = {https://nsidc.org/data/NSIDC-0105},
  version      = {2},
  organization = {NASA National Snow {and} Ice Data Center Distributed Active Archive Center. Boulder, Colorado USA.},
  doi          = {10.5067/EBW7NSR7V1V4},
  timestamp    = {2017-09-25},
}
@Online{AHRA_v3,
  author       = {Drobot, S. and A. C. Bliss and M. Anderson},
  title        = {{Snow Melt Onset Over Arctic Sea Ice from SMMR and SSM/I-SSMIS Brightness Temperatures, Version 3}},
  year         = {2014},
  version      = {3},
  organization = {NASA National Snow {and} Ice Data Center Distributed Active Archive Center. Boulder, Colorado USA.},
  doi          = {10.5067/22NFZL42RMUO},
  timestamp    = {2017-09-25},
}
@Online{AHRA_v4,
  author       = {M. Anderson and S. Drobot and A. C. Bliss},
  title        = {{Snow Melt Onset Over Arctic Sea Ice from SMMR and SSM/I-SSMIS Brightness Temperatures, Version 4}},
  year         = {2019},
  version      = {4},
  organization = {NASA National Snow {and} Ice Data Center Distributed Active Archive Center},
  address      = {Boulder, Colorado USA},
  doi          = {10.5067/A9YK15H5EBHK},
  url          = {https://nsidc.org/data/NSIDC-0105/versions/4},
  urldate      = {2020-01-06},
}
@online{iceage_v4,
  doi = {10.5067/UTAV7490FEPB},
  url = {http://nsidc.org/data/nsidc-0611/versions/4},
  urldate = {2020-01-08},
  author = {Tschudi, M. and W. N. Meier and J. S. Stewart and C. Fowler and J. Maslanik},
  title = {{EASE-Grid Sea Ice Age}},
  version = {4},
  organization = {NASA National Snow {and} Ice Data Center Distributed Active Archive Center},
  address = {Boulder, Colorado USA},
  year = {2019},
}

@Article{Mortin2014,
  author   = {Jonas Mortin and Stephen E.L. Howell and Libo Wang and Chris Derksen and Gunilla Svensson and Rune G. Graversen and Thomas M. SchrГёder},
  title    = {{Extending the QuikSCAT record of seasonal melt-freeze transitions over Arctic sea ice using ASCAT}},
  journal  = {Remote Sensing of Environment},
  year     = {2014},
  volume   = {141},
  number   = {Supplement C},
  pages    = {214 - 230},
  issn     = {0034-4257},
  doi      = {10.1016/j.rse.2013.11.004},
  url      = {http://www.sciencedirect.com/science/article/pii/S0034425713004100},
  keywords = {Active microwave measurements, Satelliteborne scatterometry, Arctic sea ice and snow, Surface processes, Melt–freeze retrieval, Arctic climate},
}

@Article{JohnsonEicken2016,
  author  = {Mark Johnson and Hajo Eicken},
  title   = {{Estimating Arctic sea-ice freeze-up and break-up from the satellite record: A comparison of different approaches in the Chukchi and Beaufort Seas}},
  journal = {Elem Sci Anth.},
  year    = {2016},
  volume  = {4:124},
  doi     = {10.12952/journal.elementa.000124},
}

@Article{Stroeve2014_melt,
  author   = {Stroeve, J. C. and Markus, T. and Boisvert, L. and Miller, J. and Barrett, A.},
  title    = {{Changes in Arctic melt season and implications for sea ice loss}},
  journal  = {Geophysical Research Letters},
  year     = {2014},
  volume   = {41},
  number   = {4},
  pages    = {1216--1225},
  note     = {2013GL058951},
  issn     = {1944-8007},
  doi      = {10.1002/2013GL058951},
  keywords = {Sea ice, Remote sensing, Thermodynamics, Arctic, sea ice},
}

@Article{LiuSchweiger2017,
  author   = {Zheng Liu and Axel Schweiger},
  title    = {{Synoptic Conditions, Clouds, and Sea Ice Melt Onset in the Beaufort and Chukchi Seasonal Ice Zone}},
  journal  = {Journal of Climate},
  year     = {2017},
  volume   = {30},
  number   = {17},
  pages    = {6999-7016},
  doi      = {10.1175/JCLI-D-16-0887.1},
  eprint   = {https://doi.org/10.1175/JCLI-D-16-0887.1},
  abstract = { AbstractCloud response to synoptic conditions over the Beaufort and Chukchi seasonal ice zone is examined. Four synoptic states with distinct thermodynamic and dynamic signatures are identified using ERA-Interim reanalysis data from 2000 to 2014. CloudSat and CALIPSO observations suggest control of clouds by synoptic states. Warm continental air advection is associated with the fewest low-level clouds, while cold air advection generates the most low-level clouds. Low-level clouds are related to lower-tropospheric stability and both are regulated by synoptic conditions. High-level clouds are associated with humidity and vertical motions in the upper atmosphere. Observed cloud vertical and spatial variability is reproduced well in ERA-Interim, but winter low-level cloud fraction is overestimated. This suggests that synoptic conditions constrain the spatial extent of clouds through the atmospheric structure, while the parameterizations for cloud microphysics and boundary layer physics are critical for the life cycle of clouds in numerical models. Sea ice melt onset is related to synoptic conditions. Melt onsets occur more frequently and earlier with warm air advection. Synoptic conditions with the highest temperatures and precipitable water are most favorable for melt onsets even though fewer low-level clouds are associated with these conditions. },
}

@Article{Ding2017,
  author  = {Ding, Qinghua and Schweiger, Axel and L'Heureux, Michelle and Battisti, David S. and Po-Chedley, Stephen and Johnson, Nathaniel C. and Blanchard-Wrigglesworth, Eduardo and Harnos, Kirstin and Zhang, Qin and Eastman, Ryan and Steig, Eric J.},
  title   = {Influence of high-latitude atmospheric circulation changes on summertime {Arctic} sea ice},
  journal = {Nature Climate Change},
  year    = {2017},
  volume  = {7},
  month   = mar,
  pages   = {289--295},
  doi     = {10.1038/nclimate3241},
  url     = {http://www.nature.com/doifinder/10.1038/nclimate3241},
  urldate = {2017-09-26},
}

@Article{Rozhnov2017_hutuda,
  author   = {Rozhnov, V. V. and Platonov, N. G. and Naidenko, S. V. and Mordvintsev, I. N. and Ivanov, E. A.},
  title    = {{Movement of a female polar bear (\emph{Ursus maritimus}) in the Kara Sea during the summer sea-ice break-up}},
  journal  = {Doklady Biological Sciences},
  year     = {2017},
  volume   = {472},
  number   = {1},
  month    = {Jan},
  pages    = {17--20},
  issn     = {1608-3105},
  doi      = {10.1134/S0012496617010057},
  abstract = {The polar bear movement trajectory in relation to onset date of the sea-ice break-up was studied in the coastal zone of the Taimyr Peninsula, eastern part of the Kara Sea, using as an example a female polar bear tagged by a radio collar with an Argos satellite transmitter. Analysis of the long-term pattern of ice melting and tracking, by means of satellite telemetry, of the female polar bear who followed the ice-edge outgoing in the north-eastern direction (in summer 2012) suggests that direction of the polar bear movement depends precisely on the direction of the sea-ice cover break-up.},
  day      = {01},
}
@Article{Rozhnov2017_hutuda_ru,
   doi = {10.7868/S0869565217030276},
   year = 2017,
   publisher = {Академцентр "Наука"},
   number = {3},
   pages = {359--363},
   author = {В.В. Рожнов and Н.Г. Платонов and С.В. Найденко and И.Н. Мордвинцев and Е.А. Иванов},
   title = {Перемещение самки белого медведя в {К}арском море в период летнего таяния льда},
   annote = {ru},
   journal = {Доклады Академии наук}
}
@InProceedings{Rozhnov2015_Holarctic2014,
  author    = {В.В. Рожнов and Р.В. Ершов and Е.А. Иванов and А.Г. Кирилов and И.А. Котрехов and Д.Р. Крюков and И.А. Мизин and И.Ю. Молодцов and Т.А. Молодцова and И.Н. Мордвинцев and С.В. Найденко and Р.А. Перхуров and Н.Г. Платонов and И.В. Покровская and М.А. Пухова},
  title     = {{Встречаемость белого медведя на мысе Желания (архипелаг Новая Земля) в летний период 2011-2014 гг.}},
   annote = {ru},
  booktitle = {{Морские млекопитающие Голарктики 2014}},
  year      = {2015},
  volume    = {2},
  publisher = {Сборник научных трудов.},
  pages     = {93-100},
  url       = {http://www.2mn.org/downloads/bookshelf/mmh8_vol2.pdf},
}

@InProceedings{Mordvintsev2015_japan,
  author    = {Mordvintsev, llya and Rozhnov, Vyacheslav and Platonov, Nikita and Naydenko, Sergey and Ivanov, Evgeny},
  title     = {{Vulnerability Assessment of Ice Polar Bear Habitats of the Eastern Sector of the Russian Arctic}},
  booktitle = {{Vth International Wildlife Management Congress (IWMC2015), Book of Abstracts}},
  year      = {2015},
  chapter   = {6201},
  pages     = {158-159},
  url       = {http://doczz.net/doc/73840/iwmc2015-abstracts---the-wildlife-society},
}

@InProceedings{Mordvintsev2015_japan2,
  author    = {Mordvintsev, llya and Rozhnov, Vyacheslav and Platonov, Nikita and Naydenko, Sergey and Ivanov, Evgeny},
  title     = {{Vulnerability Assessment of Ice Polar Bear Habitats of the Eastern Sector of the Russian Arctic}},
  booktitle = {{Vth International Wildlife Management Congress (IWMC2015), Book of Abstracts}},
  year      = {2015},
  chapter   = {6201},
}

@InProceedings{Kelly2010_MMH,
  author    = {Kelly, B.P. and Mordvintsev, I.N. and Nghiem, S. and Boveng, P.},
  title     = {{Developing a pan Arctic protocol for monitoring seal habitat}},
  booktitle = {{Marine Mammals of the Holarctic: Collection of Scientific Papers after the Sixth International Conference (Kaliningrad, Russia, October 11–15, 2010)}},
  year      = {2010},
  publisher = {Капрос},
  address   = {Калиниград},
  isbn      = {978-5-904291-05-1},
  pages     = {445-450},
}
@Report{Kelly2006,
   author = {Kelly, B.P. and Badajos, O.H. and Kunnasranta, M. and Moran, J.},
   year = {2006},
   title = {Timing and re-interpretation of ringed seal surveys},
   type = {Final Report to the Coastal Marine Institute},
   organization = {University of Alaska Fairbanks},
   pagetotal = {60},
}

@Article{Amstrup2001_comparing,
  author        = {Amstrup, Steven C. and Durner, G.M. and McDonald, T.L. and Mulcahy, D.M. and Garner, G.W.},
  title         = {Comparing movement patterns of satellite-tagged male and female polar bears},
  journal       = {Canadian Journal of Zoology},
  year          = {2001},
  volume        = {79},
  number        = {12},
  pages         = {2147-2158},
  doi           = {10.1139/cjz-79-12-2147},
  url           = {http://pubs.er.usgs.gov/publication/70023089},
  urldate       = {2018-01-04},
  __markedentry = {[pl:]},
  abstract      = {Satellite radiotelemetry has provided great insights into the movements and behaviors of polar bears (Ursus maritimus). The diameter of the neck of adult male polar bears exceeds that of their head, however, and radio collars slip off. This has limited collection of movement information to that from radio-collared females. To overcome this difficulty and gather information about their movements, we surgically implanted satellite radio transmitters into 7 male polar bears during 1996 and 1997. We compared movements of implanted males with those of 104 adult females radio-collared between 1985 and 1995. Transmitters were implanted under the skin on the midline of the top of the neck and were equipped with percutaneous antennae. Implanted transmitters operated for up to 161 days providing 3217 satellite relocations. While transmitting, radios implanted in males provided a larger proportion of the highest quality category of position fixes than was obtained from radio-collared females. However, all implanted radios ceased transmitting before reaching their projected life-span. The abrupt termination of transmission from implanted radios suggested mechanical rather than electronic failure. Mean rates of short-term movement for males (1.18 km/h) were lower than for solitary females, females with cubs, and females with yearlings (1.70, 1.84, and 1.95 km/h, respectively). Net geographic movements from the beginning to the end of each month were comparable for males (mean = 135 km) and females (mean = 114, 152, and 168 km). Mean azimuths of these net movements also appeared to be similar. Monthly activity-area sizes for males (mean = 8541 km2) were comparable to those for females (mean = 3698, 9397, and 10 585 km2) during the time period of comparison. In contrast to the other movement measures, males traveled longer mean distances (387 km) each month than did females (217, 289, and 302 km). Movements of males, it appears, were more directed than those of females, but males confined their travels to similar-sized areas.},
}

@Article{SeamanPowell1996,
  author    = {Seaman, D. Erran and Powell, Roger A.},
  title     = {An Evaluation of the Accuracy of Kernel Density Estimators for Home Range Analysis},
  journal   = {Ecology},
  year      = {1996},
  volume    = {77},
  number    = {7},
  pages     = {2075--2085},
  issn      = {1939-9170},
  doi       = {10.2307/2265701},
  publisher = {Ecological Society of America},
}

@Article{Lavielle1999,
  author   = {Marc Lavielle},
  title    = {Detection of multiple changes in a sequence of dependent variables},
  journal  = {Stochastic Processes and their Applications},
  year     = {1999},
  volume   = {83},
  number   = {1},
  pages    = {79 - 102},
  issn     = {0304-4149},
  url      = {http://www.sciencedirect.com/science/article/pii/S030441499900023X},
  doi      = {10.1016/S0304-4149(99)00023-X},
  keywords = {Detection of change-points, Minimum contrast estimator, Penalized minimum contrast estimator, Strongly mixing processes, Strongly dependent processes},
}
@Report{Lavielle2005_report,
  author      = {Lavielle, M.},
  title       = {Using penalized contrasts for the change-point problem},
  institution = {Institut national de recherche en informatique et en automatique},
  year        = {2005},
  number      = {Report number 5339},
  timestamp   = {2018-01-08},
}
@article{Lavielle2005,
	doi = {10.1016/j.sigpro.2005.01.012},
	year = 2005,
	month = {aug},
	publisher = {Elsevier {BV}},
	volume = {85},
	number = {8},
	pages = {1501--1510},
	author = {Marc Lavielle},
	title = {Using penalized contrasts for the change-point problem},
	journal = {Signal Processing}
}

@Article{BarraquandBenhamou2008,
  author    = {Barraquand, Frederic and Benhamou, Simon},
  title     = {Animal movements in heterogeneous landscapes: identifying profitable places and homogeneous movement bouts},
  journal   = {Ecology},
  year      = {2008},
  volume    = {89},
  number    = {12},
  pages     = {3336--3348},
  issn      = {1939-9170},
  doi       = {10.1890/08-0162.1},
  keywords  = {area-concentrated search, area-restricted search, first passage time, movement analysis, residence time, segmentation, signal processing, state-space models},
  publisher = {Ecological Society of America},
}
@article{Loess,
	doi = {10.1080/01621459.1988.10478639},
        url = {http://www.jstor.org/stable/2289282},
	year = 1988,
	month = {sep},
	publisher = {Informa {UK} Limited},
        publisher_prev = {[American Statistical Association, Taylor \& Francis, Ltd.]},
        issn = {01621459},
	volume = {83},
	number = {403},
	pages = {596--610},
	author = {William S. Cleveland and Susan J. Devlin},
	title = {Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting},
	journal = {Journal of the American Statistical Association}
}
@Article{Molnar2010,
  author    = {Péter K. Molnár and Andrew E. Derocher and Gregory W. Thiemann and Mark A. Lewis},
  title     = {Predicting survival, reproduction and abundance of polar bears under climate change},
  journal   = {Biological Conservation},
  year      = {2010},
  volume    = {143},
  number    = {7},
  pages     = {1612 - 1622},
  note      = {Conservation planning within emerging global climate and economic realities},
  issn      = {0006-3207},
  doi       = {10.1016/j.biocon.2010.04.004},
  url       = {http://www.sciencedirect.com/science/article/pii/S0006320710001473},
  keywords  = {Climate change, Dynamic energy budgets, , Population viability analysis, Starvation, Mechanistic models},
  timestamp = {2018-01-08},
}
@article{Molnar2014,
	doi = {10.1016/j.biocon.2014.07.001},
	year = 2014,
	month = {sep},
	publisher = {Elsevier {BV}},
	volume = {177},
	pages = {230--231},
	author = {Péter K. Molnár and Andrew E. Derocher and Gregory W. Thiemann and Mark A. Lewis},
	title = {Corrigendum to "{P}redicting survival, reproduction and abundance of polar bears under climate change" [{B}iol. {C}onserv. 143 (2010) 1612-1622]},
	journal = {Biological Conservation}
}
@Article{Muggeo2003-segmented,
  author    = {Muggeo, Vito M. R.},
  title     = {Estimating regression models with unknown break-points},
  journal   = {Statistics in Medicine},
  year      = {2003},
  volume    = {22},
  number    = {19},
  pages     = {3055--3071},
  issn      = {1097-0258},
  doi       = {10.1002/sim.1545},
  keywords  = {break-point, threshold value, segmented regression, non-linear model, Taylor expansion},
  publisher = {John Wiley \& Sons, Ltd.},
}

@Article{Durner2009,
  author    = {Durner, George M. and Douglas, David C. and Nielson, Ryan M. and Amstrup, Steven C. and McDonald, Trent L. and Stirling, Ian and Mauritzen, Mette and Born, Erik W. and Wiig, Øystein and DeWeaver, Eric and Serreze, Mark C. and Belikov, Stanislav E. and Holland, Marika M. and Maslanik, James and Aars, Jon and Bailey, David A. and Derocher, Andrew E.},
  title     = {Predicting 21st-century polar bear habitat distribution from global climate models},
  journal   = {Ecological Monographs},
  year      = {2009},
  volume    = {79},
  number    = {1},
  pages     = {25--58},
  issn      = {1557-7015},
  doi       = {10.1890/07-2089.1},
  keywords  = {climate change, general circulation model, IPCC, passive microwave, polar basin, polar bear, radio telemetry, resource selection function, sea ice, SMMR, SSM/I, Ursus maritimus},
  publisher = {Ecological Society of America},
}

@Article{Wilson2014_Ecosphere,
  author    = {Wilson, Ryan R. and Horne, Jon S. and Rode, Karyn D. and Regehr, Eric V. and Durner, George M.},
  title     = {{Identifying polar bear resource selection patterns to inform offshore development in a dynamic and changing Arctic}},
  journal   = {Ecosphere},
  year      = {2014},
  volume    = {5},
  number    = {10},
  pages     = {1--24},
  note      = {art136},
  issn      = {2150-8925},
  doi       = {10.1890/ES14-00193.1},
  keywords  = {Chukchi Sea, climate change, discrete choice models, dynamic environment, movement, space use, species distribution modeling, step selection, synoptic, Ursus maritimus, weighted distribution models},
  publisher = {Ecological Society of America},
}

@Article{Wilson2016,
  author    = {Wilson, Ryan R. and Regehr, Eric V. and Rode, Karyn D. and St Martin, Michelle},
  title     = {Invariant polar bear habitat selection during a period of sea ice loss},
  journal   = {Proceedings of the Royal Society of London B: Biological Sciences},
  year      = {2016},
  volume    = {283},
  number    = {1836},
  issn      = {0962-8452},
  doi       = {10.1098/rspb.2016.0380},
  eprint    = {http://rspb.royalsocietypublishing.org/content/283/1836/20160380.full.pdf},
  url       = {http://rspb.royalsocietypublishing.org/content/283/1836/20160380},
  abstract  = {Climate change is expected to alter many species{\textquoteright} habitat. A species{\textquoteright} ability to adjust to these changes is partially determined by their ability to adjust habitat selection preferences to new environmental conditions. Sea ice loss has forced polar bears (Ursus maritimus) to spend longer periods annually over less productive waters, which may be a primary driver of population declines. A negative population response to greater time spent over less productive water implies, however, that prey are not also shifting their space use in response to sea ice loss. We show that polar bear habitat selection in the Chukchi Sea has not changed between periods before and after significant sea ice loss, leading to a 75\% reduction of highly selected habitat in summer. Summer was the only period with loss of highly selected habitat, supporting the contention that summer will be a critical period for polar bears as sea ice loss continues. Our results indicate that bears are either unable to shift selection patterns to reflect new prey use patterns or that there has not been a shift towards polar basin waters becoming more productive for prey. Continued sea ice loss is likely to further reduce habitat with population-level consequences for polar bears.},
  publisher = {The Royal Society},
}

@Article{Bremen_iceconc,
  author   = {Spreen, G. and Kaleschke, L. and Heygster, G.},
  title    = {Sea ice remote sensing using {AMSR-E} 89-{GHz} channels},
  journal  = {Journal of Geophysical Research: Oceans},
  year     = {2008},
  volume   = {113},
  number   = {C2},
  note     = {C02S03},
  issn     = {2156-2202},
  doi      = {10.1029/2005JC003384},
  keywords = {Sea ice, Remote sensing, Cryospheric change, Remote sensing and electromagnetic processes, Ice mechanics and air/sea/ice exchange processes, sea ice, remote sensing},
}

@Article{GEBCO_article,
  author   = {Weatherall, Pauline and Marks, K. M. and Jakobsson, Martin and Schmitt, Thierry and Tani, Shin and Arndt, Jan Erik and Rovere, Marzia and Chayes, Dale and Ferrini, Vicki and Wigley, Rochelle},
  title    = {A new digital bathymetric model of the world's oceans},
  journal  = {Earth and Space Science},
  year     = {2015},
  volume   = {2},
  number   = {8},
  pages    = {331--345},
  note     = {2015EA000107},
  issn     = {2333-5084},
  doi      = {10.1002/2015EA000107},
  keywords = {Gravity anomalies and Earth structure, Seafloor morphology, geology, and geophysics, bathymetry, altimetry, soundings, multibeam, model},
}
@misc{GEBCO_2014,
   author = {GEBCO},
   title = {{GEBCO 30 arc-second grid}},
   year = {2014},
   month = {03},
   day = {11},
   publisher = {GEBCO},
   note = {GEBCO\_2014 - Version \href{https://www.gebco.net/data_and_products/gridded_bathymetry_data/version_20141103/}{20141103}},
   url = {https://www.gebco.net/data_and_products/gridded_bathymetry_data/gebco_30_second_grid/},
   urldate = {2018-12-07},
}
@misc{GEBCO_2021,
  doi_invalid = {10/gn6h},
  url_original = {https://www.gebco.net/data_and_products/gridded_bathymetry_data/},
  url = {https://www.gebco.net/data_and_products/historical_data_sets/#gebco_2021},
  author = {{GEBCO Bathymetric Compilation Group}},
  keywords = {elevation, oceans},
  language = {en},
  title = {The {GEBCO_2021 Grid} - a continuous terrain model of the global oceans and land},
  publisher = {NERC EDS British Oceanographic Data Centre NOC},
  year = {2021},
  day = {19},
  month = {July}, 
  urldate = {2022-11-16},
}
@misc{GEBCO_2022,
  doi = {10.5285/E0F0BB80-AB44-2739-E053-6C86ABC0289C},
  url = {https://www.bodc.ac.uk/data/published_data_library/catalogue/10.5285/e0f0bb80-ab44-2739-e053-6c86abc0289c/},
  author = {{GEBCO Bathymetric Compilation Group}},
  keywords = {elevation, oceans},
  language = {en},
  title = {The {GEBCO_2022 Grid} - a continuous terrain model of the global oceans and land},
  publisher = {NERC EDS British Oceanographic Data Centre NOC},
  year = {2022},
  urldate = {2022-11-16},
}
@Article{BeardedSealHabitat,
  author    = {Cameron, Michael F. and Frost, Kathryn J. and Ver Hoef, Jay M. and Breed, Greg A. and Whiting, Alex V. and Goodwin, John and Boveng, Peter L.},
  title     = {Habitat selection and seasonal movements of young bearded seals (Erignathus barbatus) in the Bering Sea},
  journal   = {PLOS ONE},
  year      = {2018},
  volume    = {13},
  number    = {2},
  month     = {02},
  pages     = {1-18},
  doi       = {10.1371/journal.pone.0192743},
  abstract  = {The first year of life is typically the most critical to a pinniped’s survival, especially for Arctic phocids which are weaned at only a few weeks of age and left to locate and capture prey on their own. Their seasonal movements and habitat selection are therefore important factors in their survival. During a cooperative effort between scientists and subsistence hunters in October 2004, 2005, and 2006, 13 female and 13 male young (i.e., age <2) bearded seals (Erignathus barbatus) were tagged with satellite-linked dive recorders (SDRs) in Kotzebue Sound, Alaska. Shortly after being released, most seals moved south with the advancing sea-ice through the Bering Strait and into the Bering Sea where they spent the winter and early spring. The SDRs of 17 (8 female and 9 male) seals provided frequent high-quality positions in the Bering Sea; their data were used in our analysis. To investigate habitat selection, we simulated 20 tracks per seal by randomly selecting from the pooled distributions of the absolute bearings and swim speeds of the tagged seals. For each point in the observed and simulated tracks, we obtained the depth, sea-ice concentration, and the distances to sea-ice, open water, the shelf break and coastline. Using logistic regression with a stepwise model selection procedure, we compared the simulated tracks to those of the tagged seals and obtained a model for describing habitat selection. The regression coefficients indicated that the bearded seals in our study selected locations near the ice edge. In contrast, aerial surveys of the bearded seal population, predominantly composed of adults, indicated higher abundances in areas farther north and in heavier pack ice. We hypothesize that this discrepancy is the result of behavioral differences related to age. Ice concentration was also shown to be a statistically significant variable in our model. All else being equal, areas of higher ice concentration are selected for up to about 80%. The effects of sex and bathymetry were not statistically significant. The close association of young bearded seals to the ice edge in the Bering Sea is important given the likely effects of climate warming on the extent of sea-ice and subsequent changes in ice edge habitat.},
  publisher = {Public Library of Science},
}

@WWW{CliSAP,
  author       = {L. Kaleschke and F. Girard-Ardhuin and G. Spreen and A. Beitsch and S. Kern},
  title        = {ASI Algorithm {SSMI-SSMIS} sea ice concentration data, originally computed at and provided by {IFREMER}, Brest, France, were obtained as 5-day median-filtered and gap-filled product from the Integrated Climate Date Center ({ICDC}, icdc.cen.uni-hamburg.de/)},
  year         = {2018},
  url          = {http://icdc.cen.uni-hamburg.de/1/daten/cryosphere/seaiceconcentration-asi-ssmi.html},
  organization = {University of Hamburg, Hamburg, Germany},
}

@Article{MIZ_GRL,
  author = {Strong, Courtenay and Rigor, Ignatius G.},
  title = {Arctic marginal ice zone trending wider in summer and narrower in winter},
  year = {2013},
  journal = {Geophysical Research Letters},
  volume = {40},
  number = {18},
  pages = {4864-4868},
  keywords = {sea ice, cryosphere, Arctic},
  doi = {10.1002/grl.50928},
  url = {https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1002/grl.50928},
  eprint = {https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1002/grl.50928},
  abstract = {Declines in Arctic sea ice extent and thickness suggest scientifically important changes in the spatial pattern of the marginal ice zone (MIZ)—a dynamic and biologically active band of sea ice cover close to open ocean. Arctic MIZ widths were measured in satellite era sea ice concentrations over the years 1979–2011 using a recently published MIZ width analysis method. Over the record, the warm season (July–September) MIZ width increased by 13 km decade−1, amounting to a 39\% widening. This widening trend resulted from a marked poleward advancement of the MIZ poleward edge into regions where sea ice was increasingly younger and thinner at the beginning of annual melt, while the MIZ's equatorward edge moved comparatively little. The warm season MIZ widening contrasted in sign and strength with a cold season (February–April) MIZ narrowing trend (4 km decade−1, amounting to a 15\% narrowing).}
}

@article{Belchansky2005_age,
  author = {Belchansky, G. I. and Douglas, D. C. and Platonov, N. G.},
  title = {Spatial and temporal variations in the age structure of Arctic sea ice},
  year = {2005},
  journal = {Geophysical Research Letters},
  volume = {32},
  number = {18},
  pages = {},
  doi = {10.1029/2005GL023976},
  url = {https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2005GL023976},
  eprint = {https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2005GL023976},
  abstract = {Spatial and temporal variations in the age structure of Arctic sea ice are investigated using a new reverse‐chronology algorithm that tracks ice‐covered pixels to their location and date of origin based on ice motion and concentration data. The Beaufort Gyre tends to harbor the oldest (>10 years old) sea ice in the western Arctic while direct ice advection pathways toward the Transpolar Drift Stream maintain relatively young (≤5 years) ice in the eastern Arctic. Persistent net losses (−4.2\% yr−1) in extent of ice >10 years old (10+ year age class) were observed during 1989–2003. Since the mid‐1990s, losses to the 10+ year age class lacked compensation by recruitment due to a prior depletion of all mature (6–10 year) age classes. Survival of the 1994 and 1996–1998 sea ice generations reestablished most mature age classes, and thereby the potential to increase extent of the 10+ year age class during the mid‐2000s.}
}
@Article{Belchansky2005_my,
  doi = {10.1029/2005gl022395},
  year = {2005},
  publisher = {American Geophysical Union ({AGU})},
  volume = {32},
  number = {9},
  pages = {},
  note = {L09605},
  author = {Gennady I. Belchansky and David C. Douglas and Vladimir A. Eremeev and Nikita G. Platonov},
  title = {Variations in the {A}rctic{\textquotesingle}s multiyear sea ice cover: {A} neural network analysis of {SMMR}-{SSM/I} data, 1979-2004},
  journal = {Geophysical Research Letters},
  eprint = {https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2005GL022395},
}
@InBook{BelikovEcosystem2011,
  author    = {Беликов, С. Е.},
  title     = {Белый медведь {Российской} {Арктики}},
   annote = {ru},
  booktitle = {Наземные и морские экосистемы},
  year      = {2011},
  publisher = {ООО «Паулсен»},
  location  = {Москва - Санкт-Петербург},
  pages     = {263-291},
  timestamp = {2018-07-14},
  isbn = {978-5-98797-069-0},
}

@Book{Matishov2013,
  author    = {Матишов, Г. Г. and Горяев, Ю. И. and Ишкулов, Д. Г.},
  title     = {Белый медведь {Карского} моря. {Результаты} экспедиционных работ {ММБИ} в районе прохождения трасс {Севморпути} в 1997–2013 гг.},
   annote = {ru},
  subtitle  = {{ММБИ КНЦ}},
  year      = {2013},
  publisher = {Изд-во ЮНЦ РАН},
  location  = {Ростов н/Д},
  isbn      = {978-5-4358-0073-9},
  pagetotal = {112},
  timestamp = {2018-07-14},
  url       = {http://www.mmbi.info/publikatsii/n28/},
  urldate   = {2018-09-22},
}

@Article{Demaster1983,
  author    = {Douglas P. Demaster and Ian Stirling},
  title     = {The Estimation of Survival and Litter Size of Polar Bear Cubs},
  journal   = {Bears: Their Biology and Management},
  year      = {1983},
  volume    = {5},
  pages     = {260--263},
  issn      = {19360614},
  doi       = {10.2307/3872546},
  url       = {http://www.jstor.org/stable/3872546},
  abstract  = {The mark/recapture analyses that are currently used to study polar bears (Ursus maritimus) generally underestimate the average number of cubs per litter and assume that the annual survival of cubs is unity. In this paper, a relationship among the number of yearlings per litter and 2-year-olds per litter is used to derive the survivorship of yearlings, which is then used to solve for the number of cubs per litter. When this relationship was applied to published population data from North America, the resulting estimated survival rates of yearlings ranged from 0.70 to 0.75, and the estimated average number of cubs per litter was between 1.70 and 1.98. These findings indicate that current estimates of sustainable yield for polar bear populations may be in error because the reproductive rate of adult females was likely to be underestimated, and the survival rate of cubs of the year was likely to be overestimated.},
  publisher = {International Association for Bear Research and Management},
}

@article{Stapleton2014,
title = "Revisiting Western Hudson Bay: Using aerial surveys to update polar bear abundance in a sentinel population",
journal = "Biological Conservation",
volume = "170",
pages = "38 - 47",
year = "2014",
issn = "0006-3207",
doi = "10.1016/j.biocon.2013.12.040",
url = "http://www.sciencedirect.com/science/article/pii/S0006320713004618",
author = "Seth Stapleton and Stephen Atkinson and Daryll Hedman and David Garshelis",
keywords = "Abundance estimation, Aerial survey, Distance sampling, Hudson Bay, Marine mammal, Mark–recapture"
}

@Article{Obbard2016,
  author  = {Obbard, M.E. and Cattet, M.R.L. and Howe, E.J. and Middel, K.R. and Newton, E.J. and Kolenosky, G.B. and Abraham, K.F. and Greenwood, C.J.},
  title   = {{Trends in body condition in polar bears (*Ursus maritimus*) from the Southern Hudson Bay subpopulation in relation to changes in sea ice}},
  journal = {Arctic Science},
  year    = {2016},
  volume  = {2},
  number  = {1},
  pages   = {15-32},
  doi     = {10.1139/as-2015-0027},
  eprint  = {https://doi.org/10.1139/as-2015-0027},
}

@InProceedings{Ovsyanikov2010pbsg,
  author    = {Nikita Ovsyanikov},
  title     = {{Polar bear research on Wrangel island in 2005-2008 and in Central Arctic Basin in 2005 and 2007}},
  booktitle = {{Proceedings of the 15\textsuperscript{th} Working Meeting of the IUCN/SSC Polar Bear Specialist Group, Copenhagen, Denmark, 29 June - 3 July 2009}},
  year      = {2010},
  editor    = {M.E. Obbard and G.W. Thiemann and E. Peacock and T.D. DeBruyn},
  publisher = {IUCN, Gland, Switzerland},
  isbn      = {978-2-8317-1255-0},
  pages     = {171-178},
  timestamp = {2018-08-05},
}
@InProceedings{Ovsyanikov2010mmh,
  author    = {Nikita G. Ovsyanikov and Irina E. Menyushina},
  title     = {{Number, condition, and activity of polar bears on Wrangel Island during ice free autumn seasons of 2005-2009}},
  booktitle = {{Marine Mammals of the Holarctic: Collection of Scientific Papers after the Sixth International Conference (Kaliningrad, Russia, October 11–15, 2010)}},
  year      = {2010},
  language  = {english},
  publisher = {Капрос},
  address   = {Калиниград},
  isbn      = {978-5-904291-05-1},
  pages     = {445-450},
  timestamp = {2018-08-05},
}
@InProceedings{Ovsyanikov2014mmh,
  author    = {N. G. Ovsyanikov and I. E. Menyushina},
  title     = {Demographic processes in {C}hukchi-{A}laskan polar bear population as observed in {W}rangel {I}sland region},
  booktitle = {{M}arine {M}ammals of the {H}olarctic. {C}ollection of {S}cientific {P}apers},
  note      = {After the Eighth International Conference (St. Petersburg, Russia, September 22–27, 2014)},
  year      = {2015},
  language  = {english},
  organizataion = {RPO “Marine Mammal Council”},
  address   = {Moscow},
  isbn      = {978-5-904291-05-1},
  volume    = {2},
  pages     = {37-45},
}
@article{Ivanov2018ru,
   doi = {10.7868/s0869565218140232},
   year = 2018,
   publisher = {Akademizdatcenter Nauka},
   number = {2},
   pages = {247--249},
   author = {Е.А. Иванов and И.Н. Мордвинцев and Н.Г. Платонов and С.В. Найденко and А.В. Тиунов and В.В. Рожнов},
   title = {{Изотопный состав крови белого медведя ({\emph{Ursus Maritimus}}) карско-баренцевоморской популяции}},
   annote = {ru},
   journal = {{Доклады Академии Наук}}
}
@Article{Ivanov2018en,
  doi = {10.1134/s0012496618030055},
  year = {2018},
  month = {may},
  publisher = {Pleiades Publishing Ltd},
  volume = {480},
  number = {1},
  pages = {93--96},
  author = {E. A. Ivanov and I. N. Mordvintsev and N. G. Platonov and S. V. Naidenko and A. V. Tiunov and V. V. Rozhnov},
  title = {Isotopic Composition of Blood of Polar Bears (\emph{{U}rsus maritimus}) of the {K}ara-{B}arents {S}ea Population},
  journal = {Doklady Biological Sciences},
}
@manual{r-ursa-dev,
   title = {{ursa: Non-Interactive Spatial Tools for Raster Processing and Visualization}},
   author = {Nikita Platonov},
   year = {2022},
   type = {R package version 3.9.7},
   url = {https://github.com/nplatonov/ursa},
   urldate = {2022-06-29},
}
@misc{r-ursa,
   title = {{ursa: Non-Interactive Spatial Tools for Raster Processing and Visualization}},
   author = {Nikita Platonov},
   year = {2023},
   type = {R package},
   url = {https://CRAN.R-project.org/package=ursa},
}
@misc{cran-ursa,
   title={{u}rsa: Non-Interactive Spatial Tools for Raster Processing and Visualization},
   DOI={10.32614/cran.package.ursa},
   journal={CRAN: Contributed Packages},
   publisher={The R Foundation},
   author={Platonov, Nikita},
   year={2018},
   month=jun
}
@Manual{r-core2018,
  title = {R: A Language and Environment for Statistical Computing},
  author = {{R Core Team}},
  organization = {R Foundation for Statistical Computing},
  address = {Vienna, Austria},
  year = {2018},
  url = {https://www.R-project.org/},
}
@Manual{r-core,
  title = {R: A Language and Environment for Statistical Computing},
  author = {{R Core Team}},
  organization = {R Foundation for Statistical Computing},
  address = {Vienna, Austria},
  year = {2024},
  type = {Version 4.4.0},
  url = {https://www.R-project.org/},
}
@Manual{r-lwgeom,
  title = {{lwgeom: Bindings to Selected 'liblwgeom' Functions for Simple Features}},
  author = {Edzer Pebesma},
  type = {R package},
  year = {2023},
  version = {},
  url = {https://CRAN.R-project.org/package=lwgeom},
}
@Manual{r-lwgeom-0.1-4,
  title = {{lwgeom: Bindings to Selected 'liblwgeom' Functions for Simple Features}},
  author = {Edzer Pebesma},
  year = {2018},
  type = {R package version 0.1-4},
  url = {https://CRAN.R-project.org/package=lwgeom},
}
@Manual{r-sf-0.6-3,
  title = {{sf: Simple Features for R}},
  author = {Edzer Pebesma},
  year = {2018},
  type = {R package version 0.6-3},
  url = {https://CRAN.R-project.org/package=sf},
}
@Manual{r-sf,
  title = {{sf: Simple Features for R}},
  author = {Edzer Pebesma},
  year = {2023},
  type = {R package},
  url = {https://CRAN.R-project.org/package=sf},
}
@Manual{r-argosfilter-0.63,
  title = {{argosfilter: Argos locations filter}},
  author = {Carla Freitas},
  year = {2012},
  type = {R package version 0.63},
  url = {https://CRAN.R-project.org/package=argosfilter},
}
@Manual{r-argosfilter,
  title = {{argosfilter: Argos Locations filter}},
  author = {Carla Freitas},
  year = {2022},
  type = {R package},
  url = {https://CRAN.R-project.org/package=argosfilter},
}
@Misc{r-foieGras-0.7.6,
  title = {{Fit latent variable movement models to animal tracking data for location quality control and behavioural inference}},
  author = {Ian D. Jonsen and Toby A. Patterson},
  year = {2020},
  doi = {10.5281/zenodo.3899972},
}
@article{sf2018,
  author = {Edzer Pebesma},
  title = {{Simple Features for R: Standardized Support for Spatial Vector Data}},
  year = {2018},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2018-009},
  pages = {439--446},
  volume = {10},
  number = {1},
}
@Manual{r-akima-0.6-2,
  title = {{akima: Interpolation of Irregularly and Regularly Spaced Data}},
  author = {Hiroshi Akima and Albrecht Gebhardt},
  year = {2016},
  type = {R package version 0.6-2},
  url = {https://CRAN.R-project.org/package=akima},
}
@Manual{r-akima,
  title = {{akima: Interpolation of Irregularly and Regularly Spaced Data}},
  author = {Hiroshi Akima and Albrecht Gebhardt},
  year = {2016},
  type = {R package},
  url = {https://CRAN.R-project.org/package=akima},
}
@Manual{r-flexdashboard,
  title = {{flexdashboard: R Markdown Format for Flexible Dashboards}},
  author = {Carson Sievert and Richard Iannone and JJ Allaire and Barbara Borges},
  year = {2023},
  note = {R package},
  url = {https://CRAN.R-project.org/package=flexdashboard},
}
@Manual{r-flexdashboard-0.5.2,
  title = {{flexdashboard: R Markdown Format for Flexible Dashboards}},
  author = {Richard Iannone and JJ Allaire and Barbara Borges},
  year = {2020},
  note = {R package version 0.5.2},
  url = {https://CRAN.R-project.org/package=flexdashboard},
}
@Manual{r-interp-1.1-3,
  title = {{interp: Interpolation Methods}},
  author = {Albrecht Gebhardt and Roger Bivand and David Sinclair},
  year = {2022},
  note = {R package version 1.1-3},
  url = {https://CRAN.R-project.org/package=interp},
}
@Manual{r-interp,
  title = {{interp: Interpolation Methods}},
  author = {Albrecht Gebhardt and Roger Bivand and David Sinclair},
  year = {2022},
  note = {R package},
  url = {https://CRAN.R-project.org/package=interp},
}
@Article{r-coin,
    title = {A {L}ego system for conditional inference},
    author = {Torsten Hothorn and Kurt Hornik and Mark A. {van de Wiel} and Achim Zeileis},
    journal = {The American Statistician},
    year = {2006},
    volume = {60},
    number = {3},
    pages = {257--263},
    doi = {10.1198/000313006X118430},
}
@Book{r-ggplot2,
    author = {Hadley Wickham},
    title = {ggplot2: Elegant Graphics for Data Analysis},
    publisher = {Springer-Verlag New York},
    year = {2016},
    isbn = {978-3-319-24277-4},
    url = {https://ggplot2.tidyverse.org},
}
@Manual{python,
  title = {Python Language Reference, versions 2.7, 3.6},
  author = {{Python Software Foundation}},
  year = {2018},
  url = {http://www.python.org},
}
@Misc{Bootstrap_GSFC_v2,
  doi = {10.5067/J6JQLS9EJ5HU},
  url = {http://nsidc.org/data/NSIDC-0079/versions/2},
  author = {Josephino C. Comiso},
  title = {Bootstrap Sea Ice Concentrations from {N}imbus-7 {SMMR} and {DMSP} {SSM/I}-{SSMIS}, Version 2},
  publisher = {{NASA National Snow and Ice Data Center Distributed Active Archive Center}},
  location  = {Bouder, Colorado USA},
  year = {2000},
  urldate = {2018-11-15},
}
@Misc{Bootstrap_GSFC_v3,
  author = {Josefino C. Comiso},
  title = {Bootstrap Sea Ice Concentrations from {N}imbus-7 {SMMR} and {DMSP} {SSM/I}-{SSMIS}, Version 3},
  year = {2017},
  doi = {10.5067/7Q8HCCWS4I0R},
  publisher = {{NASA National Snow and Ice Data Center DAAC}},
  location  = {Bouder, Colorado USA},
  url = {https://nsidc.org/data/nsidc-0079/versions/3},
  urldate1 = {2018-11-26},
  urldate = {2020-20-24},
}
@Misc{NASATeam_GSFC,
  author = {Donald Cavalieri},
  title = {{Sea Ice Concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS Passive Microwave Data, Version 1}},
  year = {1996},
  doi = {10.5067/8GQ8LZQVL0VL},
  publisher = {{NASA National Snow and Ice Data Center Distributed Active Archive Center}},
  location  = {Boulder, Colorado USA},
  note = {Updated yearly},
  url = {http://nsidc.org/data/NSIDC-0051/versions/1},
  urldate = {2018-10-17},
}
@Misc{NASATeam_NRT,
  author = {Jim Maslanik and Julienne Stroeve},
  title = {{Near-Real-Time DMSP SSM/I-SSMIS Daily Polar Gridded Sea Ice Concentrations, Version 1}},
  year = {1999},
  doi = {10.5067/u8c09dwvx9lm},
  publisher = {{NASA National Snow and Ice Data Center Distributed Active Archive Center}},
  location  = {Boulder, Colorado USA},
  note = {Updated daily},
  url = {http://nsidc.org/data/NSIDC-0081/versions/1},
  urldate = {2018-11-30},
}

@Article{IBCAO,
  doi = {10.1029/2012gl052219},
  url = {https://www.ngdc.noaa.gov/mgg/bathymetry/arctic/ibcaoversion3.html},
  year = {2012},
  month = {jun},
  publisher = {American Geophysical Union ({AGU})},
  volume = {39},
  number = {12},
  author = {Martin Jakobsson and Larry Mayer and Bernard Coakley and Julian A. Dowdeswell and Steve Forbes and Boris Fridman and Hanne Hodnesdal and Riko Noormets and Richard Pedersen and Michele Rebesco and Hans Werner Schenke and Yulia Zarayskaya and Daniela Accettella and Andrew Armstrong and Robert M. Anderson and Paul Bienhoff and Angelo Camerlenghi and Ian Church and Margo Edwards and James V. Gardner and John K. Hall and Benjamin Hell and Ole Hestvik and Yngve Kristoffersen and Christian Marcussen and Rezwan Mohammad and David Mosher and Son V. Nghiem and Maria Teresa Pedrosa and Paola G. Travaglini and Pauline Weatherall},
  title = {{The International Bathymetric Chart of the Arctic Ocean ({IBCAO}) Version 3.0}},
  journal = {Geophysical Research Letters},
}
@article{IBCAO_v4,
	doi = {10.1038/s41597-020-0520-9},
	url = {https://www.gebco.net/data_and_products/gridded_bathymetry_data/arctic_ocean/},
	year = 2020,
	month = {jul},
	publisher = {Springer Science and Business Media {LLC}},
	volume = {7},
	number = {1},
	author = {Martin Jakobsson and Larry A. Mayer and Caroline Bringensparr and Carlos F. Castro and Rezwan Mohammad and Paul Johnson and Tomer Ketter and Daniela Accettella and David Amblas and Lu An and Jan Erik Arndt and Miquel Canals and Jos{\'{e}} Luis Casamor and Nolwenn Chauch{\'{e}} and Bernard Coakley and Seth Danielson and Maurizio Demarte and Mary-Lynn Dickson and Boris Dorschel and Julian A. Dowdeswell and Simon Dreutter and Alice C. Fremand and Dana Gallant and John K. Hall and Laura Hehemann and Hanne Hodnesdal and Jongkuk Hong and Roberta Ivaldi and Emily Kane and Ingo Klaucke and Diana W. Krawczyk and Yngve Kristoffersen and Boele R. Kuipers and Romain Millan and Giuseppe Masetti and Mathieu Morlighem and Riko Noormets and Megan M. Prescott and Michele Rebesco and Eric Rignot and Igor Semiletov and Alex J. Tate and Paola Travaglini and Isabella Velicogna and Pauline Weatherall and Wilhelm Weinrebe and Joshua K. Willis and Michael Wood and Yulia Zarayskaya and Tao Zhang and Mark Zimmermann and Karl B. Zinglersen},
	title = {{The International Bathymetric Chart of the Arctic Ocean Version 4.0}},
	journal = {Scientific Data}
}
@misc{OpenStreetMapData2020,
  author = {Jochen Topf and Christoph Hormann},
  title = {{Land polygons {|} Data {|} OpenStreetMapData}},
  year = {2020},
  month = {10},
  day = {15},
  url_deprecated = {http://openstreetmapdata.com/data/land-polygons},
  url = {https://osmdata.openstreetmap.de/data/land-polygons.html},
  urldate = {2020-10-16},
  note = {Large simplified polygons not split. Updated 2020-10-15 06:00},
}
@misc{OpenStreetMapData,
  author = {Jochen Topf and Christoph Hormann},
  title = {{Data Derived from OpenStreetMap for Download}},
  year = {2023},
  month = {04},
  day = {18},
  url = {https://osmdata.openstreetmap.de/data/land-polygons.html},
  urldate = {2023-04-18},
  note = {Under the Open Database License "ODbL" by the OpenStreetMap Foundation. Large simplified polygons not split. Updated 2022-03-07T04:39},
}

@Article{GSHHG,
  doi = {10.1029/96jb00104},
  year = {1996},
  month = {apr},
  publisher = {American Geophysical Union ({AGU})},
  volume = {101},
  number = {B4},
  pages = {8741--8743},
  author = {Pål Wessel and Walter H. F. Smith},
  title = {A global, self-consistent, hierarchical, high-resolution shoreline database},
  journal = {Journal of Geophysical Research: Solid Earth},
}

@misc{GSHHGdata,
   author = {Paul Wessel},
   title = {{GSHHG - A Global Self-consistent, Hierarchical, High-resolution Geography Database}},
   year = {2018},
   month = {07},
   day = {23},
   publisher = {},
   journal = {},
   url = {https://www.soest.hawaii.edu/wessel/gshhg/},
   urldate = {2018-10-17},
}

@misc{NSIDC_glossary_2020,
   author = {NSIDC},
   title = {{National Snow and Ice Data Center - Glossary}},
   year = {2020},
   month = {},
   day = {},
   publisher = {National Snow and Ice Data Center},
   address = {Boulder, Colorado USA},
   url = {https://nsidc.org/cryosphere/glossary},
   urldate = {2018-11-26},
}
@misc{NSIDC_ice-extent_2020,
   author = {NSIDC},
   title = {{National Snow and Ice Data Center - Cryospere Glossary - ice extent}},
   year = {2020},
   month = {},
   day = {},
   publisher = {National Snow and Ice Data Center},
   address = {Boulder, Colorado USA},
   journal = {},
   url = {https://nsidc.org/cryosphere/glossary/term/ice-extent},
   urldate = {2020-10-22},
}
@misc{NSIDC_glossary,
   author = {NSIDC},
   title = {{National Snow and Ice Data Center - Glossary}},
   year = {2022},
   month = {},
   day = {},
   publisher = {National Snow and Ice Data Center},
   address = {Boulder, Colorado USA},
   url = {https://nsidc.org/learn/cryosphere-glossary},
   urldate = {2022-11-16},
}
@misc{NSIDC_ice-extent,
   author = {NSIDC},
   title = {{National Snow and Ice Data Center - Cryospere Glossary - ice extent}},
   year = {2022},
   month = {},
   day = {},
   publisher = {National Snow and Ice Data Center},
   address = {Boulder, Colorado USA},
   journal = {},
   url = {https://nsidc.org/learn/cryosphere-glossary/ice-extent},
   urldate = {2022-11-16},
}
@Article{Planning,
  doi = {10.1038/35012251},
  year = {2000},
  month = {may},
  publisher = {Springer Nature},
  volume = {405},
  number = {6783},
  pages = {243--253},
  author = {C. R. Margules and R. L. Pressey},
  title = {Systematic conservation planning},
  journal = {Nature},
}

@inbook{Marxan2009,
   author = {Ball, I.R. and Possingham, Hugh and Watts, Matthew E.},
   title = {{Marxan and relatives: software for spatial conservation prioritisation}},
   booktitle = {Spatial conservation prioritisation: Quantitative methods \& computational tools},
   editor = {Moilanen, A. and Wilson, Kerrie A. and Possingham, Hugh},
   publisher = {Oxford University Press},
   address = {Oxford, UK},
   chapter = {14},
   pages = {185-189},
   year = {2009},
   url ={https://global.oup.com/academic/product/spatial-conservation-prioritization-9780199547760},
   isbn = {9780199547760},
   type = {Book Section}
}
@misc{marxan.net,
   author = {Watts, M.E. and Possingham, H.P.},
   title = {{M}arxan.net: {C}loud infrastructure for systematic conservation planning.},
   year = {2013},
   month = {},
   day = {},
   publisher = {},
   journal = {},
   url = {http://marxan.net},
   urldate = {2018-11-26},
}
@misc{marxan244,
   author = {Matt Watts},
   title = {Marxan version 2.4.4 {C} source code},
   url = {https://github.com/mattwatts/marxan244},
   year = {2017},
   month = {jul},
   day = {8},
   urldate = {2018-12-26},
}
@Report{MarxanHandbook,
   title = {{Marxan Good Practices Handbook, Version 2}},
   editor = {Jeff A. Ardron and Hugh P. Possingham and Carissa J. Klein},
   publisher = {Pacific Marine Analysis {and} Research Association},
   address = {Victoria, BC, Canada},
   pagetotal = {165},
   year = {2010},
   month = {July},
   day = {20},
   version = {2},
   url = {www.pacmara.org},
   note = {Revised in April 2013},
}
@Article{r-adehabitat,
  doi = {10.1016/j.ecolmodel.2006.03.017},
  year = {2006},
  month = {aug},
  publisher = {Elsevier {BV}},
  volume = {197},
  number = {3-4},
  pages = {516--519},
  author = {Cl{\a'e}ment Calenge},
  title = {The package {\textquotedblleft}adehabitat{\textquotedblright} for the {R} software: {A} tool for the analysis of space and habitat use by animals},
  journal = {Ecological Modelling},
}

@Manual{r-popdemo,
    title = {popdemo: {D}emographic {M}odelling {U}sing {P}rojection {M}atrices},
    author = {Iain Stott and Dave Hodgson and Stuart Townley},
    year = {2021},
    type = {R package version 1.3-1},
    url = {https://CRAN.R-project.org/package=popdemo},
    urldate = {2018-07-16}
}
@Article{Hunter2010,
  doi = {10.1890/09-1641.1},
  year = {2010},
  month = {oct},
  publisher = {Wiley},
  volume = {91},
  number = {10},
  pages = {2883--2897},
  author = {Christine M. Hunter and Hal Caswell and Michael C. Runge and Eric V. Regehr and Steve C. Amstrup and Ian Stirling},
  title = {Climate change threatens polar bear populations: a stochastic demographic analysis},
  journal = {Ecology},
}
@Article{Polischuk2001,
  doi = {10.1139/z01-007},
  year = {2001},
  month = {mar},
  publisher = {Canadian Science Publishing},
  volume = {79},
  number = {3},
  pages = {499--511},
  author = {S C Polischuk and K A Hobson and M A Ramsay},
  title = {Use of stable-carbon and -nitrogen isotopes to assess weaning and fasting in female polar bears and their cubs},
  journal = {Canadian Journal of Zoology},
}
@Article{Bentzen2007,
  doi = {10.1139/z07-036},
  year = {2007},
  month = {may},
  publisher = {Canadian Science Publishing},
  volume = {85},
  number = {5},
  pages = {596--608},
  author = {T.W. Bentzen and E.H. Follmann and S.C. Amstrup and G.S. York and M.J. Wooller and T.M. O'Hara},
  title = {Variation in winter diet of southern {B}eaufort {S}ea polar bears inferred from stable isotope analysis},
  journal = {Canadian Journal of Zoology},
}
@Article{CardonaMarek2009,
  doi = {10.1897/08-557.1},
  year = {2009},
  publisher = {Wiley},
  volume = {28},
  number = {7},
  pages = {1416},
  author = {Tamara Cardona-Marek and Katrina K. Knott and Benjamin E. Meyer and Todd M. O\textquotesingleHara},
  title = {Mercury concentrations in southern Beaufort sea polar bears: variation based on stable isotopes of carbon and nitrogen},
  journal = {Environmental Toxicology and Chemistry},
}
@Article{Naidenko2013,
  doi = {10.1134/s1062359013090082},
  year = {2013},
  month = {dec},
  publisher = {Pleiades Publishing Ltd},
  volume = {40},
  number = {9},
  pages = {779--782},
  author = {S. V. Naidenko and E. A. Ivanov and I. N. Mordvintsev and N. G. Platonov and R. V. Ershov and V. V. Rozhnov},
  title = {Seropositivity for different pathogens in polar bears (\emph{{U}rsus maritimus}) from {B}arents {S}ea Islands},
  journal = {Biology Bulletin},
}
@misc{viametoolkit,
   author = {Jonathan Owens},
   title = {{An Open Source Framework for Underwater Image Processing}},
   year = {2018},
   month = {},
   day = {},
   publisher = {},
   journal = {},
   url = {http://www.viametoolkit.org/},
   urldate = {2018-03-05},
}
@misc{XNOR,
   author = {hello@xnor.ai},
   title = {{AI everywhere, on every device™}},
   year = {2018},
   month = {},
   day = {},
   publisher = {XNOR},
   journal = {},
   url = {https://www.xnor.ai/},
   urldate = {2018-03-05},
}
@Manual{r-reticulate,
  title = {reticulate: {I}nterface to '{P}ython'},
  author = {JJ Allaire and Kevin Ushey and Yuan Tang},
  year = {2018},
  type = {R package version 1.10},
  url = {https://CRAN.R-project.org/package=reticulate},
}
@misc{Keras,
  title={{Keras}},
  author={Chollet, Fran\c{c}ois and others},
  year={2015},
  howpublished={\url{https://keras.io}},
}
@Manual{r-keras,
  title = {keras: {R} Interface to '{K}eras'},
  author = {JJ Allaire and Fran\c{c}ois Chollet},
  year = {2018},
  type = {R package version 2.2.0},
  url = {https://CRAN.R-project.org/package=keras},
}
A BibTeX entry for LaTeX users is

@Manual{r-h2o,
  title = {{h2o}: {R} Interface for '{H2O}'},
  author = {Erin LeDell and Navdeep Gill and Spencer Aiello and Anqi Fu and Arno Candel and Cliff Click and Tom Kraljevic and Tomas Nykodym and Patrick Aboyoun and Michal Kurka and Michal Malohlava},
  year = {2018},
  type = {R package version 3.20.0.8},
  url = {https://CRAN.R-project.org/package=h2o},
}
@Manual{r-mxnet,
  title = {{mxnet}: {MXNet}: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems},
  author = {Tianqi Chen and Qiang Kou and Tong He},
  year = {2017},
  type = {R package version 1.3.0},
  url = {https://github.com/dmlc/mxnet/tree/master/R-package},
}
@Manual{r-kerasR,
  title = {{kerasR}: {R} Interface to the {Keras} Deep Learning Library},
  author = {Taylor Arnold},
  year = {2017},
  type = {R package version 0.6.1},
  url = {https://CRAN.R-project.org/package=kerasR},
}
@Manual{r-xgboost,
  title = {xgboost: Extreme Gradient Boosting},
  author = {Tianqi Chen and Tong He and Michael Benesty and Vadim Khotilovich and Yuan Tang and Hyunsu Cho and Kailong Chen and Rory Mitchell and Ignacio Cano and Tianyi Zhou and Mu Li and Junyuan Xie and Min Lin and Yifeng Geng and Yutian Li},
  year = {2018},
  type = {R package version 0.71.2},
  url = {https://CRAN.R-project.org/package=xgboost},
}
@Manual{RStudio,
  title = {{RStudio}: Integrated Development Environment for {R}},
  author = {{RStudio Team}},
  organization = {RStudio, Inc.},
  address = {Boston, MA}, year = {2015},
  url = {https://www.rstudio.com/}, 
}
@Report{WWF_tracks1,
  author      = {Мордвинцев, Илья Николаевич and Платонов, Никита Геннадьевич},
  title       = {Разработка методов обнаружения наследа на аэрофотоснимках для оценки жизнедеятельности белого медведя},
   annote = {ru},
  type        = {Отчет по договору № WWF001042 от 24.10.2017 г. по гранту  № WWF001042/RU012413/GLM},
  institution = {ИПЭЭ РАН},
  year        = {2018},
}
@Report{PAMPAN_CF,
  author      = {Платонов, Никита Геннадьевич},
  title       = {Анализ характеристик морского льда {А}рктики для использования в качестве параметров местообитания и природоохранных объектов в пан-арктической морской сети биологического разнообразия},
   annote = {ru},
  type        = {Отчет по гранту № WWF001224/RU012415/GLM на основании грантового письма № WWF001224 от 28.09.2018 г.},
  institution = {ИПЭЭ РАН},
  year        = {2018},
}
@Report{PAMPAN_marxan,
  author      = {Платонов, Никита Геннадьевич},
  title       = {Геоинформационное обеспечение пан-арктического проекта по выявлению сети ключевых по биоразнообразию морских районов},
   annote = {ru},
  type        = {Отчет по гранту № WWF001225/RU012415/GLM на основании грантового письма № WWF001225 от 26.09.2018 г.},
  institution = {ИПЭЭ РАН},
  year        = {2018},
}
@misc{Kaggle_SeaLions,
   author = {AFSC},
   title = {{NOAA Fisheries Steller Sea Lion Population Count}},
   year = {2018},
   publisher = {Kaggle},
   url = {https://www.kaggle.com/c/noaa-fisheries-steller-sea-lion-population-count},
   urldate = {2018-04-02},
}
@Article{Regehr2018_IPM,
  doi = {10.1038/s41598-018-34824-7},
  year = {2018},
  month = {nov},
  day = {14},
  publisher = {Springer Nature America, Inc},
  volume = {8},
  number = {1},
  pages={16780},
  issn={2045-2322},
  author = {Eric V. Regehr and Nathan J. Hostetter and Ryan R. Wilson and Karyn D. Rode and Michelle St. Martin and Sarah J. Converse},
  title = {Integrated Population Modeling Provides the First Empirical Estimates of Vital Rates and Abundance for Polar Bears in the {C}hukchi {S}ea},
  journal = {Scientific Reports},
}
@misc{AARI_en,
  author={AARI},
  title={Review ice charts of the {A}rctic {O}cean},
  year={2023},
  url = {http://old.aari.ru/odata/_d0015.php?lang=1},
  urldate = {2023-05-31},
  oldyear={2018},
  oldurl = {http://www.aari.ru/odata/_d0015.php?lang=1},
  oldurldate = {2018-11-23},
  publisher = {Center "Sever", Arctic {and} Antarctic Research Institute, St. Petersburg},
  note = {},
}
@misc{AARI2018_en,
  author={AARI},
  title={Review ice charts of the {A}rctic {O}cean},
  year={2018},
  url = {http://www.aari.ru/odata/_d0015.php?lang=1},
  urldate = {2018-11-23},
  publisher = {Center "Sever", Arctic {and} Antarctic Research Institute, St. Petersburg},
  note = {},
}
@misc{AARI_ru,
  author={ААНИИ},
  title={Обзорные ледовые карты {С}еверного {Л}едовитого океана {ЕСИМО}},
  annote = {ru},
  year={2018},
  url = {http://www.aari.ru/odata/_d0015.php?lang=0},
  urldate = {2018-11-23},
  publisher = {Центр "Север", Арктический и Антарктический научно-исследовательский институт, С-Петербург},
  note = {},
}
@misc{AARI_Caspian,
  author={ААНИИ},
  year={},
  title={Региональные ледовые карты морей {Р}оссии в формате {SIGRID-3} - {К}аспийское море},
   annote = {ru},
  url = {http://wdc.aari.ru/datasets/d0004/cas},
  urldate = {2020-01-15},
  publisher = {Центр "Север", Арктический и Антарктический научно-исследовательский институт},
  address = {С-Петербург},
  note = {},
}

@Misc{CIS,
  doi = {10.7265/N51V5BW9},
  author = {CIS},
  title = {{C}anadian {I}ce {S}ervice {A}rctic {R}egional {S}ea {I}ce {C}harts in {SIGRID-3} {F}ormat, {V}ersion 1},
  publisher = {{NSIDC: National Snow and Ice Data Center}},
  location  = {Bouder, Colorado USA},
  year = {2009},
  url = {https://nsidc.org/data/G02171},
  urldate = {2018-11-23},
}
@misc{IUCN_pb_boundaries,
   author = {CAFF},
   title = {{Distribution and current trend of polar bear subpopulations throughout the circumpolar Arctic}},
   year = {2009},
   month = {},
   day = {},
   publisher = {Conservation of Arctic Flora {and} Fauna (CAFF) - \href{https://caff.is}{www.caff.is}},
   journal = {},
   note = {Data Source: \href{https://www.iucn-pbsg.org/}{IUCN/SSC Polar Bear Specialist Group}},
   url1 = {https://www.abds.is/index.php/publications/view_document/4-distribution-and-current-trend-of-polar-bear-subpopulations-throughout-the-circumpolar-arctic},
   urldate1 = {2018-12-02},
   url = {https://www.abds.is/index.php/publications/species/mammals/polar-bear/distribution-and-current-trend-of-polar-bear-subpopulations-throughout-the-circu},
   urldate = {2020-10-24},
}
@report{PBSG_StatusTable2021,
   title ={{Status Report on the World’s Polar Bear Subpopulations}},
   author = {{IUCN/SSC Polar Bear Specialist Group}},
   month = {July},
   year = {2021},
   url = {https://www.iucn-pbsg.org/wp-content/uploads/2021/11/July-2021-Status-Report-Web.pdf},
   urldate = {2022-07-07},
}
@report{PBSG_StatusTable2019,
   title ={{Status Report on the World’s Polar Bear Subpopulations}},
   author = {{IUCN/SSC Polar Bear Specialist Group}},
   month = {July},
   year = {2019},
   url = {http://pbsg.npolar.no/export/sites/pbsg/en/docs/2019-PBSG-StatusTable.pdf},
   urldate = {2020-10-19},
}
@report{PBSG_PopulationMap,
   title ={{Polar bear population map}},
   author = {{IUCN/SSC Polar Bear Specialist Group}},
   day = {27},
   month = {March},
   year = {2017},
   url = {http://pbsg.npolar.no/en/status/population-map.html},
   urldate = {2020-10-19},
}
@misc{LME_ecoregion,
   author = {{PAME-led Group}},
   title = {{Large Marine Ecosystems {LME}s of the {A}rctic area - {R}evision {LME} map 15th of May 2013}},
   year = {2013},
   month = {May},
   day = {15},
   publisher = {Arctic Council's Protection of the Arctic Marine Environment Working Group (PAME)},
   note = {URI: \href{https://hdl.handle.net/11374/61}{https://hdl.handle.net/11374/61}},
   url = {https://www.pame.is/index.php/projects/ecosystem-approach/arctic-large-marine-ecosystems-lme-s},
   urldate = {2018-12-02}
}
@Article{MEOW_ecoregion,
  doi = {10.1641/b570707},
  eprint = {/oup/backfile/content_public/journal/bioscience/57/7/10.1641_b570707/4/57-7-573.pdf},
  year = {2007},
  month = {jul},
  publisher = {Oxford University Press ({OUP})},
  volume = {57},
  number = {7},
  pages = {573--583},
  author = {Mark D. Spalding and Helen E. Fox and Gerald R. Allen and Nick Davidson and Zach A. Ferda{\~n}a and Max Finlayson and Benjamin S. Halpern and Miguel A. Jorge and Al Lombana and Sara A. Lourie and Kirsten D. Martin and Edmund McManus and Jennifer Molnar and Cheri A. Recchia and James Robertson},
  title = {Marine Ecoregions of the World: A Bioregionalization of Coastal and Shelf Areas},
  journal = {{BioScience}},
}
@misc{MEOW_data_2018,
   author = {{MEOW Working Group}},
   title = {{Marine Ecoregions Of the World (MEOW)}},
   year = {2012},
   month = {01},
   day = {23},
   publisher = {Federal Geographic Data Committee},
   note = {\href{http://maps.tnc.org/gis_data.html#MEOW}{Data for download}},
   url = {http://maps.tnc.org/files/metadata/MEOW.xml},
   urldate = {2018-12-02},
}
@misc{MEOW_data,
   author = {{MEOW Working Group}},
   title = {{Marine Ecoregions Of the World (MEOW)}},
   year = {2007},
   publisher = {Federal Geographic Data Committee},
   note = {Version 2. Updated Oct. 2008},
   version = {RRRR},
   url = {https://www.worldwildlife.org/publications/marine-ecoregions-of-the-world-a-bioregionalization-of-coastal-and-shelf-areas},
   urldate = {2022-07-02},
}
@misc{MEOW_tnc,
   title = {{Marine Ecoregions Of the World (MEOW)}},
   year = {2019},
   month = {sep},
   day = {11},
   url = {https://geospatial.tnc.org/datasets/903c3ae05b264c00a3b5e58a4561b7e6},
   urldate = {2022-07-18},
}
@misc{EEZ_ecoregion,
  doi = {10.14284/386},
  author = {{Flanders Marine Institute}},
  author_original = {{Flanders Marine Institute (VLIZ), Belgium}},
  keywords = {Boundaries},
  language = {en},
  title = {{Maritime Boundaries Geodatabase: Maritime Boundaries and Exclusive Economic Zones (200NM)}},
  publisher = {Flanders Marine Institute (VLIZ)},
  location = {Belgium},
  year = {2019},
  month = {Sep},
  day = {30},
  copyright = {Attribution (CC BY)},
  url = {http://www.vliz.be/en/imis?dasid=6316&doiid=386},
  urldate = {2022-07-18},
}
@Report{CBD_ecoregion,
   author = {{CBD}},
   year = {2014},
   title = {{Report of the Arctic Regional Workshop to Facilitate the Description of Ecologically or Biologically Significant Marine Areas}},
   organization = {Convention on Biological Diversity},
   publisher = {UNEP/CBD/EBSA/WS/2014/1/5. 20 May 2014},
   url = {https://www.cbd.int/doc/meetings/mar/ebsaws-2014-01/official/ebsaws-2014-01-05-en.pdf},
   urldate = {2018-12-26},
}
@misc{NSIDC_icemotion_v4,
  doi = {10.5067/INAWUWO7QH7B},
  url = {http://nsidc.org/data/nsidc-0116/versions/4},
  author = {Tschudi, M. and W. N. Meier and J. S. Stewart and C. Fowler and J. Maslanik},
  title = {Polar Pathfinder Daily 25 km {EASE}-Grid Sea Ice Motion Vectors, {V}ersion 4},
  publisher = {{NASA National Snow and Ice Data Center, Distributed Active Archive Center}},
  location  = {Bouder, Colorado USA},
  year = {2019},
  urldate = {2022-05-12},
}
@Misc{NSIDC_icemotion_v3,
  author = {Tschudi, M. and C. Fowler and J. Maslanik and J. S. Stewart and W. Meier},
  title = {Polar Pathfinder Daily 25 km {EASE}-Grid Sea Ice Motion Vectors, {V}ersion 3},
  year = {2016},
  doi = {10.5067/O57VAIT2AYYY},
  publisher = {{NASA National Snow and Ice Data Center, Distributed Active Archive Center}},
  location  = {Bouder, Colorado USA},
  url = {https://nsidc.org/data/nsidc-0116/versions/3},
  urldate = {2018-12-07},
}
@Misc{NSIDC_icemotion_v2,
  author = {Fowler, C. and J. Maslanik and W. Emery and M. Tschudi},
  title = {Polar Pathfinder Daily 25 km {EASE}-Grid Sea Ice Motion Vectors, {V}ersion 2},
  year = {2013},
  doi = {10.5067/LHAKY495NL2T},
  publisher = {{NASA National Snow and Ice Data Center, Distributed Active Archive Center}},
  location  = {Bouder, Colorado USA},
  url = {https://nsidc.org/data/nsidc-0116/versions/2},
  urldate = {2018-12-07},
}
@Misc{NSIDC_icemotion_v1,
  author = {Fowler, C.},
  title = {Polar Pathfinder Daily 25 km {EASE}-Grid Sea Ice Motion Vectors, {V}ersion 1},
  year = {2003},
  doi = {10.5067/NG348BM3HPCA},
  publisher = {{NASA National Snow and Ice Data Center, Distributed Active Archive Center}},
  location  = {Bouder, Colorado USA},
  url = {https://nsidc.org/data/nsidc-0116/versions/1},
  urldate = {2018-12-07},
}
@Report{FJL2018_field,
  author      = {В. В. Рожнов and И. Н. Мордвинцев and Н. Г. Платонов and Е. А. Иванов},
  title       = {Изучение весеннего распределения белого медведя на острове {З}емля {А}лександры архипелага {З}емля {Ф}ранца-{И}осифа},
   annote = {ru},
  type        = {Отчет для WWF},
  institution = {ИПЭЭ РАН},
  year        = {2018},
}
@unpublished{Vaigach2016dev,
  author = {Платонов, Никита Геннадьевич and Мизин, Иван Андреевич and Иванов, Евгений Александрович and Мордвинцев, Илья Николаевич and Рожнов, Вячеслав Владимирович and Найденко, Сергей Валериевич},
  title_old = {Приверженность белых медведей береговой линии в морях западного сектора российской {А}рктики},
  title = {Использование белым медведем (\emph{{U}rsus maritimus}) местообитаний вдоль береговой линии в течение года по данным спутникового мониторинга},
   annote = {ru},
  year = {2019},
  institution_cancel = {ИПЭЭ РАН},
  note = {Представлено в журнал "Исследование Земли из космоса" 15 января 2019 г.},
}
@Article{Vaigach2016deprecated,
   author = {Платонов, Н. Г. and Мизин, И. А. and Иванов, Е. А. and Мордвинцев, И. Н. and Найденко, С. В. and Рожнов, В. В.},
   title = {Использование белым медведем (\textit{{U}rsus maritimus}) местообитаний вдоль береговой линии в течение года по данным спутникового мониторинга},
   annote = {ru},
   journal = {Исследование Земли из космоса},
   pages = {80--91},
   number = {3},
   year = {2019},
   month = {6},
   keywords = {белый медведь; спутниковые ошейники; Argos; траектории перемещений; участки обитания; береговая линия; Карское море},
   abstract = { На примере самки белого медведя (Ursus maritimus), помеченной ошейником со спутниковым передатчиком системы Argos на острове Вайгач, проведен анализ данных по ее перемещению относительно береговой линии в районе Карских ворот с апреля 2016 г. по сентябрь 2017 г. Анализ траектории перемещения медведицы выявил периоды ее большей (при нахождении на льду) и меньшей (на суше) подвижности и направленности перемещения. Наибольшая площадь участка обитания медведицы в среднемесячном масштабе была в мае 2016 г. при перемещениях по мелкобитому льду, наименьшая — в январе 2017 г. при нахождении на суше при отсутствии льда. Для анализа использования ресурсов среды использовали оценки расстояния до побережья (27% времени на побережье, 33% на суше, 40% в акватории). Сравнение с предыдущими исследованиями показало, что даже при наличии морского льда сохраняется приверженность медведей суши. },
   url = {https://journals.eco-vector.com/0205-9614/article/view/14272},
   doi = {10.31857/S0205-96142019380-91},
}
@article{Vaigach2016en,
	doi = {10.1134/s0001433819090342},
	year = 2019,
	month = {dec},
	publisher = {Pleiades Publishing Ltd},
	volume = {55},
	number = {9},
	pages = {1427--1436},
	author = {N. G. Platonov and I. A. Mizin and E. A. Ivanov and I. N. Mordvintsev and S. V. Naydenko and V. V. Rozhnov},
	title = {Habitat Use by the Polar Bear (\emph{{U}rsus maritimus}) along the Coastline throughout the Year According to Satellite Monitoring Data},
	journal = {Izvestiya, Atmospheric and Oceanic Physics}
}
@misc{met.no_icechart,
   author = {{Copernicus \copyright}},
   title = {{MET Norway Ice Chart Mapserver}},
   year = {2018},
   month = {},
   day = {},
   publisher = {Norwegian Meteorological Institute},
   journal = {},
   url = {http://wms.met.no/icechart/},
   urldate = {2018-12-16},
   note = {Distributed by GIS WMS},
}
@misc{cryo.met.no,
   author = {{Norwegian Ice Service}},
   title = {{Ice Service charts}},
   year = {2023},
   month = {},
   day = {},
   publisher = {Norwegian Meteorological Institute},
   journal = {},
   url = {https://cryo.met.no/en/latest-ice-charts},
   urldate = {2023-05-10},
   note = {},
}
@Manual{QGIS,
  title = {{QGIS} {G}eographic {I}nformation {S}ystem},
  author = {{QGIS Development Team}},
  organization = {Open Source Geospatial Foundation},
  year = {2022},
  url = {https://qgis.org},
  urldate = {2022-03-04},
}
@online{QGIS_manual,
    author = {{QGIS.org}},
    title = {{QGIS 3.22. Geographic Information System User Guide}},
    year = {2022},
    url = {https://docs.qgis.org/3.22/en/docs/user_manual/index.html},
    urldate = {2022-03-04},
}
@misc{QGIS_project,
    author = {{QGIS.org}},
    year = {2022},
    title = {{QGIS Geographic Information System}},
    organization = {QGIS Association},
    url = {https://qgis.org},
    urldate = {2022-03-04},
}

@misc{QGIS_developers,
    author = {{QGIS.org}},
    year = {2022},
    title = {{QGIS 3.22. Geographic Information System Developers Manual}},
    organization = {QGIS Association},
    url = {https://docs.qgis.org/3.22/en/docs/developers_guide/index.html},
    urldate = {2022-03-04},
}
@misc{QGIS_install,
    author = {{QGIS.org}},
    year = {2022},
    title = {{QGIS 3.22. Geographic Information System Installation Guide}},
    subtitle = {},
    organization = {QGIS Association},
    url = {https://github.com/qgis/QGIS/blob/master/INSTALL.md},
    urldate = {2022-03-04},
}

Cite the QGIS User Guide

    QGIS Development Team, <YEAR>. QGIS <VERSION> Geographic Information System User Guide. Open Source Geospatial Foundation Project. Electronic document: http://download.osgeo.org/qgis/doc/manual/&lt;DOCUMENT>

Cite the QGIS API Documentation

    QGIS Development Team, <YEAR>. QGIS <VERSION> Geographic Information System API Documentation. Open Source Geospatial Foundation Project. Electronic document: http://doc.qgis.org/&lt;DOCUMENT>

@misc{BibEntry2022Mar,
	title = {{QGIS User Guide {\ifmmode---\else\textemdash\fi} QGIS Documentation documentation}},
	year = {2022},
	month = {Mar},
	note = {[Online; accessed 4. Mar. 2022]},
	url = {https://docs.qgis.org/3.16/en/docs/user_manual/index.html}
}
@Manual{GDAL,
  title = {{GDAL - Geospatial Data Abstraction Library}. Version 2.3.2, released 2018/09/21},
  author = {{GDAL Development Team}},
  organization = {Open Source Geospatial Foundation},
  year = {2018},
  url = {http://www.gdal.org},
  urldate = {2018-12-26},
}
@misc{PAMPAN_principles,
   title ={{Principles and approaches for a spatial analysis in support of planning and implementation of a Pan-Arctic Marine Protected Area Network (PAMPAN)}},
   author = {B. Solovyev},
   note = {With contributon from A. Abraham and M. Gavrilo and J. Roff and V. Spiridonov},
   year = {2018},
   month = {10},
   day = {15},
   howpublished = {Distributed by B. Solovyev},
}
@misc{seaice.dk,
   author = {{DTU Space}},
   title = {{Sea Ice Denmark}},
   year = {2017},
   publisher = {Technical University of Denmark | Division of Microwaves {and} Remote Sensing},
   journal = {},
   url = {http://www.seaice.dk/},
   urldate = {2017-09-30},
}
@misc{NIC_MIZ,
   author = {{US NIC}},
   title = {{Arctic Marginal Ice Zone | USNIC Daily Ice Edge product}},
   year = {2018},
   publisher = {U.S. National Ice Center},
   journal = {},
   url = {https://www.natice.noaa.gov/daily_graphics.htm},
   urldate = {2018-12-30},
}
@misc{USNIC_MIZ,
   author = {{US NIC}},
   title = {{Daily Arctic Marginal Ice Zone (MIZ) and Overlay Shapefile}},
   year = {2022},
   publisher = {U.S. National Ice Center},
   journal = {},
   url = {https://usicecenter.gov/Products/ArcticData},
   urldate = {2022-04-05},
}
@misc{Scihub,
   author = {{European Union and European Space Agency}},
   title = {{C}opernicus {S}entinel data},
   year = {2018},
   publisher = {Copernicus Open Access Hub},
   journal = {},
   url = {https://scihub.copernicus.eu},
   urldate = {2018-12-30},
}
@misc{Worldview,
   author = {{NASA EOSDIS}},
   title = {{NASA Worldview application}},
   year = {2018},
   publisher = {},
   journal = {},
   url = {https://worldview.earthdata.nasa.gov},
   urldate = {2018-12-30},
}
@misc{Nominatim,
   author = "{OpenStreetMap Wiki}",
   title = "{Nominatim}",
   year = "2018",
   url = "https://wiki.openstreetmap.org/w/index.php?title=Nominatim&oldid=1667946",
   urldate = {2022-06-03},
   note = {OpenStreetMap Wiki contributors. Revision: 25 September 2018 15:46 UTC}
}
@misc{Argos_manual,
    author = {{Collecte Localisation Satellites}},
    title = {{Argos User's Manual}},
    year = {2016},
    month = {6},
    day = {15},
    url = {http://www.argos-system.org/manual/},
    urldate = {2019-05-17}
}
@Article{r-sp,
  author = {Edzer J. Pebesma and Roger S. Bivand},
  title = {Classes and methods for spatial data in {R}},
  journal = {R News},
  year = {2005},
  volume = {5},
  number = {2},
  pages = {9--13},
  month = {November},
  url = {https://CRAN.R-project.org/doc/Rnews/},
}

@Book{r-sp-book,
  author = {Roger S. Bivand and Edzer Pebesma and Virgilio
    Gomez-Rubio},
  title = {Applied spatial data analysis with {R}, Second edition},
  year = {2013},
  publisher = {Springer, NY},
  url = {http://www.asdar-book.org/},
}
@Article{Platonov2019_Vaigach2016,
   author = {Платонов, Н. Г. and Мизин, И. А. and Иванов, Е. А. and Мордвинцев, И. Н. and Найденко, С. В. and Рожнов, В. В.},
   title = {Использование белым медведем (\textit{{U}rsus maritimus}) местообитаний вдоль береговой линии в течение года по данным спутникового мониторинга},
   annote = {ru},
   journal = {Исследование Земли из космоса},
   pages = {80--91},
   number = {3},
   year = {2019},
   month = {6},
   day = {20},
   publisher = {Российская академия наук},
   keywords = {белый медведь; спутниковые ошейники; Argos; траектории перемещений; участки обитания; береговая линия; Карское море},
   abstract = { На примере самки белого медведя (Ursus maritimus), помеченной ошейником со спутниковым передатчиком системы Argos на острове Вайгач, проведен анализ данных по ее перемещению относительно береговой линии в районе Карских ворот с апреля 2016 г. по сентябрь 2017 г. Анализ траектории перемещения медведицы выявил периоды ее большей (при нахождении на льду) и меньшей (на суше) подвижности и направленности перемещения. Наибольшая площадь участка обитания медведицы в среднемесячном масштабе была в мае 2016 г. при перемещениях по мелкобитому льду, наименьшая — в январе 2017 г. при нахождении на суше при отсутствии льда. Для анализа использования ресурсов среды использовали оценки расстояния до побережья (27% времени на побережье, 33% на суше, 40% в акватории). Сравнение с предыдущими исследованиями показало, что даже при наличии морского льда сохраняется приверженность медведей суши. },
   url = {https://journals.eco-vector.com/0205-9614/article/view/14272},
   doi = {10.31857/S0205-96142019380-91},
}
@Misc{PB_strategy2010,
  author = {С. Е. Беликов and А. Н. Болтунов and Н. Г. Овсяников},
  title = {Стратегия сохранения белого медведя в {Р}оссийской {Ф}едерации},
   annote = {ru},
  year = {2010},
  pagetotal = {38},
  note= {Распоряжение Минприроды России от 05.07.2010 N 26-р "О Стратегии сохранения белого медведя в Российской Федерации"},
}
@Misc{PB_strategy2010en,
   author = {S. E. Belikov and A. N. Boltunov and N. G. Ovsyankikov},
   title = {Strategy for Polar Bear Conservation in the {R}ussian {F}ederation},
   year = {2010},
   pagetotal = {35},
   editor = {Geoff York},
   translator = {V. Vinichenko},
   note= {Degree No 26-r of 5th July 2010 of Ministry of Natural Resources and Environment of the Russian Federation},
   isbn = {978-5-9902432-1-7},
   url2 = {https://polarbearagreement.org/resources/strategy-for-polar-bear-conservation/viewdocument/82},
   url = {https://polarbearagreement.org/other-cap-deliverables-docs/individual-range-state-action-plans/russia/strategy-for-polar-bear-conservation},
   urldate = {2024-06-10},
}
@Misc{PB_actionplan2010en,
   author = {S. Belikov and A. Boltunov and O. Krever and V. Krever and V. Nikiforov and N. Ovsyanikov and V. Rozhnov and М. Stishov},
   title = {Action plan for the period until 2020 on the implementation of priority polar bear conservation measures},
   year = {2010},
   pagetotal = {21},
   editor = {Geoff York},
   translator = {V. Vinichenko},
   note= {Degree No 26-r of 5th July 2010 of Ministry of Natural Resources and Environment of the Russian Federation},
   isbn = {978-5-9902432-1-7},
   url2 = {https://polarbearagreement.org/resources/strategy-for-polar-bear-conservation/viewdocument/83},
   url = {https://polarbearagreement.org/other-cap-deliverables-docs/individual-range-state-action-plans/russia/action-plan},
   urldate = {2024-06-10},
}
@article{Aars2009,
   doi = {10.1111/j.1748-7692.2008.00228.x},
   year = 2009,
   month = {jan},
   publisher = {Wiley},
   volume = {25},
   number = {1},
   pages = {35--52},
   author = {J. Aars and T. A. Marques and S. T. Buckland and M. Andersen and S. Belikov and A. Boltunov and Ø. Wiig},
   title = {Estimating the {B}arents {S}ea polar bear subpopulation size},
   journal = {Marine Mammal Science}
}
@article{Aars2017,
   doi = {10.1080/17518369.2017.1374125},
   year = 2017,
   month = {jan},
   publisher = {Norwegian Polar Institute},
   volume = {36},
   number = {1},
   pages = {1374125},
   author = {Jon Aars and Tiago A. Marques and Karen Lone and Magnus Andersen and Øystein Wiig and Ida Marie Bardalen Fl{\o}ystad and Snorre B. Hagen and Stephen T. Buckland},
   title = {The number and distribution of polar bears in the western {B}arents {S}ea},
   journal = {Polar Research}
}
@article{Wiig1998,
   title = {Survival and Reproductive Rates for Polar Bears at {S}valbard},
   author = {Øystein Wiig},
   year = {1998},
   journal = {Ursus},
   publisher = {{JSTOR}},
   volume = {10},
   pages = {25--32},
   url = {https://www.jstor.org/stable/3873105},
   urldate = {2018-09-03},
}
@article{Taylor1987_ANURSUS,
	doi = {10.2307/3872617},
	year = 1987,
	publisher = {{JSTOR}},
	volume = {7},
	pages = {117},
	author = {Mitchell Taylor and Fred Bunnell and Douglas DeMaster and Ray Schweinsburg and John Smith},
	title = {Anursus: A Population Analysis System for Polar Bears (\emph{{U}rsus maritimus})},
	journal = {Bears: Their Biology and Management}
}
@article{Ovsyanikov1998,
   author = {Ovsyanikov, Nikita},
   year = {1998},
   title = {Den use and social interactions of polar bears during spring in a dense denning area on {H}erald {I}sland, {R}ussia},
   journal = {Ursus},
   publisher = {{JSTOR}},
   volume = {10},
   pages = {251-258},
   url = {https://www.jstor.org/stable/3873133},
}
@misc{MOSJ2018,
   author = {MOSJ},
   title = {{Polar bear (\textit{Ursus maritimus})}},
   year = {2018},
   month = {jun},
   day = {4},
   url = {http://www.mosj.no/en/fauna/marine/polar-bear.html},
   urldate = {2018-09-03},
   publisher = {Environmental monitoring of Svalbard and Jan Mayen},
}
@report{RiskmanDoc,
   author = {Taylor, Mitchel K. and Martyn Obbard and Bruce Pond and Miroslaw Kuc and Diana Abraham},
   year = {2006},
   month = {Sep},
   day = {30},
   title = {{RISKMAN}: Stochastic and deterministic population modeling {RISK} {MAN}agement decision tool for harvested and unharvested populations},
   note = {Version 1.9.003. Software user manual},
   publisher = {Government of Nunavut, Iqaluit, Nunavut Territory},
   totalpages = {40},
   url = {http://riskman.nrdpfc.ca/downloads/RiskmanManual.pdf},
   urldate = {2018-08-08},
}
@manual{RiskmanSoft,
   author = {Taylor, Mitchel K. and Miroslaw Kuk and Martyn Obbard and H. Dean Cluff and Bruce Pond},
   year = {2003},
   month = {Jun},
   day = {17},
   title = {{RISKMAN}: risk analysis for harvested populations of age structured, birth-pulse species},
   note = {Department of Environment. Government of Nunavut, File Report},
   pagetotal = {26},
   url = {http://riskman.nrdpfc.ca/downloads/RiskAnalysis.PDF},
   urldate = {2018-08-08},
}
@book{AtlasWWF,
   skipAuthor = {С. Е. Беликов and М. В. Гаврило and С. Л. Горин and А. Н. Иванов and Е. Д. Краснова and Ю. В. Краснов and А. О. Кулангиев and Ф. И. Лашманов and А. В. Макаров and Н. Г. Николаева and А. В. Попов and Л. А. Сергиенко and В. А. Спиридонов and М. А. Шредерс},
   note = {Авторский коллектив: Беликов С. Е., Гаврило М. В., Горин С. Л., Иванов А. Н., Краснова Е. Д., Краснов Ю. В., Кулангиев А. О., Лашманов Ф. И., Макаров А. В., Николаева Н. Г., Попов А. В., Сергиенко Л. А., Спиридонов В. А., Шредерс М. А.},
   title = {Атлас биологического разнообразия морей и побережий российской {А}рктики},
   annote = {ru},
   editor = {В. А. Спиридонов and Е. Д. Краснова and М. В. Гаврило and Н. Г. Николаева},
   publisher = {WWF России},
   address = {М.},
   year = {2011},
   pagetotal  = {64},
   isbn = {978-5-9902786-1-5},
   url1 = {https://wwf.ru/upload/iblock/523/atlas_biol_ros_arkt_web.pdf},
   urldate1 = {2019-10-30},
   url = {https://wsbs-msu.ru/res/DOCFOLDER120/atlas_biol_ros_arkt_web.pdf},
   urldate = {2024-04-03},
   
}
@InBook{AtlasWWF_polynya,
   author = {А. В. Попов and М. В. Гаврило},
   title = {{З}априпайные полыньи},
   annote = {ru},
   booktitle = {Атлас биологического разнообразия морей и побережий российской {А}рктики},
   editor = {В. А. Спиридонов and Е. Д. Краснова and М. В. Гаврило and Н. Г. Николаева},
   publisher = {WWF России},
   address = {М.},
   year = {2011},
   page = {28-29},
   pagetotal  = {64},
   isbn = {978-5-9902786-1-5},
   url = {https://wwf.ru/upload/iblock/523/atlas_biol_ros_arkt_web.pdf},
   urldate = {2019-10-30},
}
@InBook{AtlasWWF_kara,
   author = {М. В. Гаврило and А. В. Попов},
   title = {{Л}едовые биотопы северо-востока {Б}аренцева и {К}арского морей},
   annote = {ru},
   booktitle = {Атлас биологического разнообразия морей и побережий российской {А}рктики},
   editor = {В. А. Спиридонов and Е. Д. Краснова and М. В. Гаврило and Н. Г. Николаева},
   publisher = {WWF России},
   address = {М.},
   year = {2011},
   page = {34-35},
   pagetotal  = {64},
   isbn = {978-5-9902786-1-5},
   url = {https://wwf.ru/upload/iblock/523/atlas_biol_ros_arkt_web.pdf},
   urldate = {2019-10-30},
}
@InBook{AtlasWWF_laptev,
   author = {М. В. Гаврило and А. В. Попов and В. А. Спиридонов},
   title = {{Л}едовые биотопы и биологическое разнообразие моря {Л}аптевых},
   annote = {ru},
   booktitle = {Атлас биологического разнообразия морей и побережий российской {А}рктики},
   editor = {В. А. Спиридонов and Е. Д. Краснова and М. В. Гаврило and Н. Г. Николаева},
   publisher = {WWF России},
   address = {М.},
   year = {2011},
   page = {36-37},
   pagetotal  = {64},
   isbn = {978-5-9902786-1-5},
   url = {https://wwf.ru/upload/iblock/523/atlas_biol_ros_arkt_web.pdf},
   urldate = {2019-10-30},
}
@InBook{AtlasWWF_chukchi,
   author = {М. В. Гаврило and А. В. Попов},
   title = {{Л}едовые биотопы и биологическое разнообразие {В}осточно-{С}ибирского моря и причукотских вод {Ч}укотского и {Б}ерингова морей},
   annote = {ru},
   booktitle = {Атлас биологического разнообразия морей и побережий российской {А}рктики},
   editor = {В. А. Спиридонов and Е. Д. Краснова and М. В. Гаврило and Н. Г. Николаева},
   publisher = {WWF России},
   address = {М.},
   year = {2011},
   page = {38-39},
   pagetotal  = {64},
   isbn = {978-5-9902786-1-5},
   url = {https://wwf.ru/upload/iblock/523/atlas_biol_ros_arkt_web.pdf},
   urldate = {2019-10-30},
}
@book{Karelin,
   author = {Карелин, И. Д. and Карклин, В. П.},
   title = {Припай и заприпайные полыньи арктических морей сибирского шельфа в конце {XX} - начале {XXI} века},
   annote = {ru},
   publisher = {ААНИИ},
   year = {2012},
   address = {Спб},
   pagetotal  = {180},
}
@InCollection{Barber2007,
   title = "{Chapter 1 The Role of Sea Ice in Arctic and Antarctic Polynyas}",
   editor = "W.O. Smith and D.G. Barber",
   series = "Elsevier Oceanography Series",
   publisher = "Elsevier",
   volume = "74",
   pages = "1 - 54",
   year = "2007",
   booktitle = "{Polynyas: Windows to the World}",
   issn = "0422-9894",
   doi = "10.1016/S0422-9894(06)74001-6",
   url = "http://www.sciencedirect.com/science/article/pii/S0422989406740016",
   urldate = "2019-10-30",
   author = "D.G. Barber and R.A. Massom",
   abstract = "Polynyas are persistent and recurrent regions of open water and/or thin ice or reduced ice concentration, tens to tens of thousands of square kilometers in areal extent, that occur within the sea ice zones of both hemispheres at locations where a more consolidated and thicker ice cover would be climatologically expected. Rather than simply constituting recurrent “windows” in the sea ice, polynyas are profoundly affected by, and intimately linked to, local and even regional ice conditions (i.e., the “icescape”). They respond sensitively to thermodynamic and dynamic forcing by the ocean and atmosphere and entail ecologically important “oases” that enable birds and mammals to overwinter at high latitudes and encourage enhanced primary production in the spring. In this review, we introduce the concept of polynyas from the perspective of the sea ice conditions/processes that define them. We discuss the unique characteristics of polynyas in both polar regions, and assess their possible response/contribution to climate variability and change. An inventory of Northern Hemisphere polynyas is presented, based primarily of satellite data analysis but also on information from the literature and aboriginal peoples. Summary statistics on polynya opening and closing dates are also provided, along with information on the availability of light relative to the seasonal cycles of sea ice. In the Southern Hemisphere, we present an update of an inventory of Antarctic polynyas and discuss how coastal, glacial and deep-ocean processes affect their and distribution. Two important polynyas are examined in more detail, i.e., the North Water (NOW) polynya in the north and the Mertz Glacier polynya in the south. These case studies focus on details of the different physical processes driving their creation, maintenance and dissolution. Each of these polynyas has been the focus of dedicated in situ research programmes in recent years."
}
@misc{demographyCS,
  doi = {10.5281/zenodo.3524873},
  url = {https://zenodo.org/record/3524873},
  urldate = {2019-09-07},
  author = {Platonov, Nikita},
  title = {{nplatonov/demography: Comprehension of polar bear demographic parameters for the CS subpopulation}},
  publisher = {Zenodo},
  year = {2019}
}
@book{SAMBR2017,
   author = {{CAFF}},
   year = {2017},
   title = {{State of the Arctic Marine Biodiversity Report. Conservation of Arctic Flora and Fauna}},
   publisher = {CAFF International Secretariat},
   address = {Akureyri, Iceland},
   isbn = {978-9935-431-63-9},
}
@article{Hebbeln1993,
   doi = {10.1016/0967-0637(93)90029-3},
   year = 1993,
   month = {sep},
   publisher = {Elsevier {BV}},
   volume = {40},
   number = {9},
   pages = {1731--1745},
   author = {Dierk Hebbeln and Heinrich Berner},
   title = {Surface sediment distribution in the {F}ram {S}trait},
   journal = {Deep Sea Research Part I: Oceanographic Research Papers}
}
@misc{Wrangel2018,
   author = {С.Е. Беликов and Е.В. Мелихова and Э. Регер},
   title = {Совместные научные исследования белого медведя на острове {В}рангеля: экспедиционный сезон 2018},
   annote = {ru},
   year = {2018},
   month = {11},
   day = {07},
   url = {http://www.vniiecology.ru/index.php/8-news/559-sovmestnye-nauchnye-issledovaniya-belogo-medvedya-na-ostrove-vrangelya-ekspeditsionnyj-sezon-2018},
   urldate = {2019-11-07},
   organization = {ФГБУ «ВНИИ Экология»},
}
@misc{OvsyanikovScam,
   author = {Никита Овсяников},
   title = {Глобальная афера вокруг белых медведей},
   annote = {ru},
   year = {2019},
   month = {03},
   day = {10},
   url = {https://www.facebook.com/permalink.php?story_fbid=1649635741835690&id=1246285862170682},
   urldate = {2019-11-08},
   organization = {Группа «Движение в защиту Белого медведя» в Фейсбуке},
}
@article{Reynolds2002,
	doi = {10.1175/1520-0442(2002)015<1609:aiisas>2.0.co;2},
	year = 2002,
	month = {jul},
	publisher = {American Meteorological Society},
	volume = {15},
	number = {13},
	pages = {1609--1625},
	author = {Richard W. Reynolds and Nick A. Rayner and Thomas M. Smith and Diane C. Stokes and Wanqiu Wang},
	title = {An Improved In Situ and Satellite {SST} Analysis for Climate},
	journal = {Journal of Climate}
}
@article{Reynolds2007,
	doi = {10.1175/2007jcli1824.1},
	year = 2007,
	month = {nov},
	publisher = {American Meteorological Society},
	volume = {20},
	number = {22},
	pages = {5473--5496},
	author = {Richard W. Reynolds and Thomas M. Smith and Chunying Liu and Dudley B. Chelton and Kenneth S. Casey and Michael G. Schlax},
	title = {Daily High-Resolution-Blended Analyses for Sea Surface Temperature},
	journal = {Journal of Climate}
}
@misc{NOAA-OISST-v2,
   author = {{NOAA/ESRL/PSD}},
   title = {{NOAA} {OI} {SST} {V2} {H}igh {R}esolution {D}ataset},
   organization= {\href{https://www.esrl.noaa.gov/psd/}{NOAA/ESRL Physical Sciences Division, Data Management}},
   address = {Boulder, CO},
   year = {2019},
   urldate = {2019-12-26},
   url = {https://www.esrl.noaa.gov/psd/data/gridded/data.noaa.oisst.v2.highres.html}
}
@misc{OISST,
   title = {The daily optimum interpolation ({OI}) sea surface temperature ({SST}) analysis version 2},
   author = {Richard W. Reynolds},
   year = {2009},
   url = {ftp://eclipse.ncdc.noaa.gov/pub/OI-daily-v2/},
   urldate = {2019-11-30},
}
@report{Platonov2018_RSF,
   author = {Nikita Platonov},
   title = {Preferable Seasonal Sea Ice Habitats of Polar Bears},
   year = {2018},
   mon = {10},
   day = {18},
   type = {WWF Russia, PAMPAN Project: Report for Olga Shpak's research team on request of Maria Solovyeva}
}
@article{Perrette2011,
	doi = {10.5194/bg-8-515-2011},
	year = 2011,
	month = {feb},
	publisher = {Copernicus {GmbH}},
	volume = {8},
	number = {2},
	pages = {515--524},
	author = {M. Perrette and A. Yool and G. D. Quartly and E. E. Popova},
	title = {Near-ubiquity of ice-edge blooms in the {A}rctic},
	journal = {Biogeosciences}
}
@article{Engelsen2002,
	doi = {10.1016/s0924-7963(02)00077-5},
	year = 2002,
	month = {jun},
	publisher = {Elsevier {BV}},
	volume = {35},
	number = {1-2},
	pages = {79--97},
	author = {Ola Engelsen and Else N{\o}st Hegseth and Haakon Hop and Edmond Hansen and Stig Falk-Petersen},
	title = {Spatial variability of chlorophyll-\emph{a} in the {M}arginal {I}ce {Z}one of the {B}arents {S}ea, with relations to sea ice and oceanographic conditions},
	journal = {Journal of Marine Systems}
}
@article{Rozhnov_FJL2011_en,
	doi = {10.1134/s1062359015080087},
	year = 2015,
	month = {nov},
	publisher = {Pleiades Publishing Ltd},
	volume = {42},
	number = {8},
	pages = {728--741},
	author = {V. V. Rozhnov and N. G. Platonov and I. N. Mordvintsev and S. V. Naidenko and E. A. Ivanov and R. V. Ershov},
	title = {Movements of polar bear females (\textit{{U}rsus maritimus}) during an ice-free period in the fall of 2011 on {A}lexandra {L}and {I}sland ({F}ranz {J}osef {L}and {A}rchipelago) using satellite telemetry},
	journal = {Biology Bulletin}
}
@article{Glazov2013_walrus_en,
	doi = {10.1134/s1062359013090057},
	year = 2013,
	month = {dec},
	publisher = {Pleiades Publishing Ltd},
	volume = {40},
	number = {9},
	pages = {783--789},
	author = {D. M. Glazov and O. V. Shpak and D. M. Kuznetsova and B. A. Solovyev and D. A. Udovik and N. G. Platonov and I. N. Mordvintsev and D. I. Ivanov and V. V. Rozhnov},
	title = {Observations of the walrus (\textit{{O}dobenus rosmarus}) in the {B}arents, {K}ara, and {L}aptev seas in 2010{\textendash}2012},
	journal = {Biology Bulletin}
}
@article{Platonov2013_geoeye_en,
	doi = {10.1134/s1062359013020106},
	year = 2013,
	month = {mar},
	publisher = {Pleiades Publishing Ltd},
	volume = {40},
	number = {2},
	pages = {197--205},
	author = {N. G. Platonov and I. N. Mordvintsev and V. V. Rozhnov},
	title = {The possibility of using high resolution satellite images for detection of marine mammals},
	journal = {Biology Bulletin}
}
@article{Platonov2012_seaice,
	doi = {10.1134/s0001433812090125},
	year = 2012,
	month = {dec},
	publisher = {Pleiades Publishing Ltd},
	volume = {48},
	number = {9},
	pages = {1027--1038},
	author = {N. G. Platonov and I. N. Mordvintsev and V. V. Rozhnov and I. V. Alpatsky},
	title = {Analysis of the {A}rctic sea ice conditions for 2011 at the onset of summer minimum},
	journal = {Izvestiya, Atmospheric and Oceanic Physics}
}
@article{Mordvintsev2011,
	doi = {10.1134/s0001433811090106},
	year = 2011,
	month = {dec},
	publisher = {Pleiades Publishing Ltd},
	volume = {47},
	number = {9},
	pages = {1127--1134},
	author = {I. N. Mordvintsev and N. G. Platonov and I. V. Alpatsky},
	title = {Arctic sea ice long-term dynamics according to the satellite microwave data},
	journal = {Izvestiya, Atmospheric and Oceanic Physics}
}
@misc{IMS,
  doi = {10.7265/N52R3PMC},
  url = {https://nsidc.org/data/G02156/versions/1},
  author = {{National Ice Center}},
  title = {{IMS} Daily {N}orthern Hemisphere Snow and Ice Analysis at 1 km, 4 km and 24 km Resolutions},
  publisher = {NSIDC},
  note = {Version 1, updated daily},
  publisher = {NASA National Snow {and} Ice Data Center Distributed Active Archive Center},
  address = {Boulder, Colorado USA},
  year = {2008}
}
@phdthesis{Solovyeva2019,
   year = {2019},
   month = {10},
   day = {28},
   title = {Особенности использования ларгой (\textit{{P}hoca largha}) акваторий {О}хотского и {Б}ерингова морей в разные периоды годового цикла},
   annote = {ru},
   author = {Мария Андреевна Соловьёва},
   school = {МГУ},
   type = {Диссертация на соискание ученой степени кандидата биологических наук},
   address = {Москва, Ленинские Горы},
   url = {https://istina.msu.ru/dissertations/232513905/},
   urldate = {2019-12-20},
}
@misc{SeaSurfaceHeight,
    author = {Copernicus},
    title = {CMEMS Global ocean gridded {L4} sea surface heights and derived variables reprocessed (1993-ongoing)},
    organization = {E. U. Copernicus Marine Service Information},
    url = {http://marine.copernicus.eu/services-portfolio/access-to-products/?option=com_csw&view=details&product_id=SEALEVEL_GLO_PHY_L4_REP_OBSERVATIONS_008_047},
    urldate = {2019-12-24}
}
@misc{CATDS-SSS-data,
   author = {Boutin, Jacqueline and Vergely, Jean-Luc and Thouvenin-Masson, Clovis and Supply, Alexandre and Khvorostyanov, Dmitry},
   title = {{SMOS} {SSS} {L3} maps generated by {CATDS} {CEC} {LOCEAN}. debias {V4.0}},
   publisher = {SEANOE},
   doi = {10.17882/52804},
   year = {2019},
}
@article{CATDS-SSS-method,
	doi = {10.1016/j.rse.2018.05.022},
	year = 2018,
	month = {sep},
	publisher = {Elsevier {BV}},
	volume = {214},
	pages = {115--134},
	author = {J. Boutin and J.-L. Vergely and S. Marchand and F. D{\textquotesingle}Amico and A. Hasson and N. Kolodziejczyk and N. Reul and G. Reverdin and J. Vialard},
	title = {New {SMOS} Sea Surface Salinity with reduced systematic errors and improved variability},
	journal = {Remote Sensing of Environment},
	note = {Open Access version: \url{https://archimer.ifremer.fr/doc/00441/55254/}},
}
@misc{CATDS-SSS-v4,
    author = {Jacqueline Boutin and Jean-Luc Vergely},
    title = {De-biased {SMOS} {SSS} {L3} v4 maps generated by {LOCEAN/ACRI-ST Expertise Center}},
    year = {2019},
    month = {12},
    day = {17},
    url = {https://www.catds.fr/Products/Available-products-from-CEC-OS/CEC-Locean-L3-Debiased-v4},
    urldate = {2019-12-25},
    oranization = {Centre Aval de Traitement des Données SMOS (CATDS)}
}
@article{Pagano2018,
	doi = {10.1111/mms.12556},
	year = 2018,
	month = {nov},
	publisher = {Wiley},
	volume = {35},
	number = {2},
	pages = {649--659},
	author = {Anthony M. Pagano and Amy Cutting and Nicole Nicassio-Hiskey and Amy Hash and Terrie M. Williams},
	title = {Energetic costs of aquatic locomotion in a subadult polar bear},
	journal = {Marine Mammal Science}
}
@article{Lone2017-RSF,
	doi = {10.1111/ecog.03020},
	year = 2017,
	month = {jun},
	publisher = {Wiley},
	volume = {41},
	number = {4},
	pages = {567--578},
	author = {Karen Lone and Benjamin Merkel and Christian Lydersen and Kit M. Kovacs and Jon Aars},
	title = {Sea ice resource selection models for polar bears in the Barents Sea subpopulation},
	journal = {Ecography}
}
@article{Lone2018-aquatic,
	doi = {10.1038/s41598-018-27947-4},
	year = 2018,
	month = {jun},
	publisher = {Springer Science and Business Media {LLC}},
	volume = {8},
	number = {1},
	author = {Karen Lone and Kit M. Kovacs and Christian Lydersen and Mike Fedak and Magnus Andersen and Philip Lovell and Jon Aars},
	title = {Aquatic behaviour of polar bears (\textit{{U}rsus maritimus}) in an increasingly ice-free {A}rctic},
	journal = {Scientific Reports}
}
@TechReport{Caspian_review2019,
  author      = {Платонов, Никита Геннадьевич},
  title       = {Обзор методов и данных по абиотическим параметрам {К}аспийского моря},
   annote = {ru},
  type        = {Отчет по подготовительному этапу проекта "Изучение современного состояния популяции каспийского тюленя с целью сохранения биоразнообразия Каспийского моря"},
  institution = {ИПЭЭ РАН},
  address     = {Москва},
  year        = {2019},
  timestamp   = {2019-12-26},
  url         = {https://www.dropbox.com/s/svingn6zbfbhgnp/review-Caspian.zip?dl=1},
  urldate     = {2019-12-26},
}
@online{Bremen_regional,
  author   = {{Universität Bremen}},
  title    = {{R}egional {S}ea {I}ce {C}oncentration ({AMSR-E/AMSR2})},
  year     = {2020},
  url      = {https://seaice.uni-bremen.de/sea-ice-concentration-amsr-eamsr2/regional/},
  note     = {Other regions. Caspian Sea},
  urldate  = {2020-01-11},
}
@online{Bremen_browser,
  author   = {Georg Heygster and Gunnar Spreen and Christian Melsheimer and Malte Gerken and Justus Notholt},
  organization = {Institute of {E}nvironmental {P}hysics, {U}niversity of {B}remen, {G}ermany},
  title    = {{S}ea {I}ce {R}emote {S}ensing {D}atabrowser},
  year     = {2019},
  month    = {Nov},
  url      = {https://seaice.uni-bremen.de/databrowser/},
  urldate  = {2020-01-11},
}
@misc{Bremen_ASI5,
   title = {{ASI Version 5 Sea Ice Concentration User Guide}},
   year = {2019},
   month = {08},
   day = {04},
   author = {Christian Melsheimer},
   publisher = {Institute of Environmental Physics, University of Bremen},
   note = {Version V0.9.2},
   url = {https://seaice.uni-bremen.de/fileadmin/user_upload/ASIuserguide.pdf},
   urldate = {2022-05-11},
}
@InProceedings{Lebedev2015,
   title = {Динамика {К}аспийского моря по данным инструментальных измерений, результатам моделирования и данным дистанционного зондирования},
   annote = {ru},
   author = {Лебедев, С. А. and Костяной, А. Г. and Гинзбург, А. И.},
   booktitle = {Прикладные аспекты геологии, геофизики и геоэкологии с использованием современных информационных технологий},
   note = {Материалы III Международной научно-практической конференции, Майкоп, 11-14 мая 2015 г. Геофизический центр Российской академии наук, Институт физики атмосферы им. А.М. Обухова Российской академии наук, Институт океанологии им. П.П. Ширшова Российской академии наук, Управление по охране окружающей среды, природным ресурсам и чрезвычайным ситуациям Республики Адыгея, Майкопский государственный технологический университет},
   publisher = {Индивидуальный предприниматель Кучеренко Вячеслав Олегович},
   address = {Майкоп},
   year = {2015},
}
@article{Ibrayev2010,
	doi = {10.5194/os-6-311-2010},
	year = 2010,
	month = {mar},
	publisher = {Copernicus {GmbH}},
	volume = {6},
	number = {1},
	pages = {311--329},
	author = {R. A. Ibrayev and E. Ozsoy and C. Schrum and H. {\.{I}}. Sur},
	title = {Seasonal variability of the {C}aspian {S}ea three-dimensional circulation, sea level and air-sea interaction},
	journal = {Ocean Science}
}
@book{Lednev1943,
   author = {Lednev, V. A.},
   title = {Techeniya Severnogo i Srednego Kaspiya},
   publisher = {Morskoy Transport},
   address = {Moscow, USSR},
   year = {1943}
}
@incollection{Kostianoy2018,
	doi = {10.1007/978-3-319-94067-0_28},
	year = 2018,
	month = {sep},
	publisher = {Springer International Publishing},
	pages = {505--521},
	author = {Andrey G. Kostianoy and Anna I. Ginzburg and Olga Yu. Lavrova and Sergey A. Lebedev and Marina I. Mityagina and Nickolay A. Sheremet and Dmitry M. Soloviev},
	title = {Comprehensive Satellite Monitoring of {C}aspian {S}ea Conditions},
	booktitle = {{Remote Sensing of the Asian Seas}}
}
@misc{EEA_Caspian,
	title = {{Caspian Sea physiography (depth distribution and main currents)}},
	journal = {European Environment Agency},
	year = {2012},
	month = {Nov},
	day = {29},
	url = {https://www.eea.europa.eu/data-and-maps/figures/caspian-sea-physiography-depth-distribution-and-main-currents},
	urldate = {2020-01-14},
	note = {Processors: UNEP GRID Warszawa},
}
@article{Komijani2019,
	doi = {10.1016/j.jglr.2019.09.026},
	year = 2019,
	month = {dec},
	publisher = {Elsevier {BV}},
	volume = {45},
	number = {6},
	pages = {1113--1129},
	author = {F. Komijani and V. Chegini and S.M. Siadatmousavi},
	title = {Seasonal variability of circulation and air-sea interaction in the {C}aspian {S}ea based on a high resolution circulation model},
	journal = {Journal of Great Lakes Research}
}
@article{Gunduz2014,
	doi = {10.5194/os-10-459-2014},
	year = 2014,
	month = {jun},
	publisher = {Copernicus {GmbH}},
	volume = {10},
	number = {3},
	pages = {459--471},
	author = {M. Gunduz and E. Ozsoy},
	title = {Modelling seasonal circulation and thermohaline structure of the {C}aspian {S}ea},
	journal = {Ocean Science}
}
@article{Lillie2019,
	doi = {10.14430/arctic69449},
	year = 2019,
	month = {dec},
	publisher = {The Arctic Institute of North America},
	volume = {72},
	number = {4},
	pages = {404--412},
	author = {Kate M. Lillie and Eric M. Gese and Todd C. Atwood and Mary M. Conner},
	title = {Use of Subsistence-Harvested Whale Carcasses by Polar Bears in the Southern {B}eaufort {S}ea},
	journal = {{ARCTIC}}
}
@article{Gormezano2015,
	doi = {10.1371/journal.pone.0128520},
	year = 2015,
	month = {jun},
	publisher = {Public Library of Science ({PLoS})},
	volume = {10},
	number = {6},
	pages = {e0128520},
	author = {Linda J. Gormezano and Robert F. Rockwell},
	editor = {Jo{\~{a}}o Miguel Dias},
	title = {The Energetic Value of Land-Based Foods in Western {H}udson Bay and Their Potential to Alleviate Energy Deficits of Starving Adult Male Polar Bears},
	journal = {{PLOS} {ONE}},
        abstract = {Climate change is predicted to expand the ice-free season in western Hudson Bay and when it grows to 180 days, 28–48% of adult male polar bears are projected to starve unless nutritional deficits can be offset by foods consumed on land. We updated a dynamic energy budget model developed by Molnar et al. to allow influx of additional energy from novel terrestrial foods (lesser snow geese, eggs, caribou) that polar bears currently consume as part of a mixed diet while on land. We calculated the units of each prey, alone and in combination, needed to alleviate these lethal energy deficits under conditions of resting or limited movement (2 km d-1) prior to starvation. We further considered the total energy available from each sex and age class of each animal prey over the period they would overlap land-bound polar bears and calculated the maximum number of starving adult males that could be sustained on each food during the ice-free season. Our results suggest that the net energy from land-based food, after subtracting costs of limited movement to obtain it, could eliminate all projected nutritional deficits of starving adult male polar bears and likely other demographic groups as well. The hunting tactics employed, success rates as well as behavior and abundance of each prey will determine the realized energetic values for individual polar bears. Although climate change may cause a phenological mismatch between polar bears and their historical ice-based prey, it may simultaneously yield a new match with certain land-based foods. If polar bears can transition their foraging behavior to effectively exploit these resources, predictions for starvation-related mortality may be overestimated for western Hudson Bay. We also discuss potential complications with stable-carbon isotope studies to evaluate utilization of land-based foods by polar bears including metabolic effects of capture-related stress and consuming a mixed diet.},
}
@article{Pisareva2018,
	doi = {10.2205/2018es000631},
	year = 2018,
	month = {aug},
	publisher = {Geophysical Center of the Russian Academy of Sciences},
	volume = {18},
	number = {4},
	pages = {1--13},
	author = {Maria N. Pisareva},
	title = {An overview of the recent research on the {C}hukchi Sea water masses and their circulation},
	journal = {Russian Journal of Earth Sciences}
}
@misc{Fischbach2016,
	doi = {10.3133/ofr20161108},
	year = 2016,
	publisher = {{US} Geological Survey},
	author = {Anthony S. Fischbach and Anatoly A. Kochnev and Joel L. Garlich-Miller and Chadwick V. Jay},
	title = {{P}acific walrus coastal haulout database, 1852-2016{\textemdash} {B}ackground report}
}
@InBook{BeringWWF_polarBear,
   author = {Д. М. Кузнецова and Б. А. Соловьёв and Н. Г. Платонов},
   title = {Морские млекопитающие},
   annote = {ru},
   booktitle = {Экосистемы {Б}ерингова пролива и факторы антропогенного воздействия},
   editor = {А. Р. Моисеев},
   publisher = {Всемирный фонд дикой природы (WWF)},
   address = {М.},
   year = {2019},
   month = {nov},
   page = {149-179},
   pagetotal  = {282},
   isbn = {978-5-90363-284-8},
   url = {https://wwf.ru/resources/publications/booklets/ekosistemy-beringova-proliva-i-faktory-antropogennogo-vozdeystviya/},
   urldate = {2020-01-27},
}
@InBook{BeringWWF_ship,
   author = {Д. М. Кузнецова and Б. А. Соловьёв and Н. Г. Платонов},
   title = {Влияние судоходства на морских млекопитающих},
   annote = {ru},
   booktitle = {Экосистемы {Б}ерингова пролива и факторы антропогенного воздействия},
   editor = {А. Р. Моисеев},
   publisher = {Всемирный фонд дикой природы (WWF)},
   address = {М.},
   year = {2019},
   month = {nov},
   page = {222-225},
   pagetotal  = {282},
   isbn = {978-5-90363-284-8},
   url = {https://wwf.ru/resources/publications/booklets/ekosistemy-beringova-proliva-i-faktory-antropogennogo-vozdeystviya/},
   urldate = {2020-01-27},
}
@online{Geocento,
    author = {Geocento},
    title = {{EarthImages - Find and Order Satellite Imagery}},
    year =  {2019},
    url = {https://imagery.geocento.com/},
    urldate = {2020-01-28},
}
@inBook{Amstrup2013,
	doi = {10.1029/180gm14},
	year = 2013,
	month = {mar},
	pages = {213--268},
	author = {Steven C. Amstrup and Bruce G. Marcot and David C. Douglas},
	title = {A Bayesian Network Modeling Approach to Forecasting the 21st Century Worldwide Status of Polar Bears},
	booktitle = {Arctic Sea Ice Decline: Observations, Projections, Mechanisms, and Implications},
	editor = {E. T. DeWeaver and C. M. Bitz, and L.-B. Tremblay},
	publisher = {American Geophysical Union},
	address = {Washington DC},
	isbn = {9781118666470},
	note = {Published printed 01 January 2008},
 	series = {Geophysical monograph, 180}
}
@article{HadISST_method,
	doi = {10.1029/2002jd002670},
	year = 2003,
	publisher = {American Geophysical Union ({AGU})},
	volume = {108},
	number = {D14},
	author = {N. A. Rayner},
	title = {Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century},
	journal = {Journal of Geophysical Research}
}
@misc{HadISST_data,
   author = {{Met Office Hadley Centre}},
   year = 2016,
   month = Apr,
   day = 22,
   title = {{Hadley Centre Sea Ice and Sea Surface Temperature data set (HadISST)}},
   url = {https://www.metoffice.gov.uk/hadobs/hadisst/index.html},
   urldate = {2020-02-20},
   organization = {Met Office Hadley Centre observations datasets},
}
@article{Hunt2013,
	doi = {10.1016/j.jmarsys.2012.08.003},
	year = 2013,
	month = {jan},
	publisher = {Elsevier {BV}},
	volume = {109-110},
	pages = {43--68},
	author = {George L. Hunt and Arny L. Blanchard and Peter Boveng and Padmini Dalpadado and Kenneth F. Drinkwater and Lisa Eisner and Russ R. Hopcroft and Kit M. Kovacs and Brenda L. Norcross and Paul Renaud and Marit Reigstad and Martin Renner and Hein Rune Skjoldal and Andy Whitehouse and Rebecca A. Woodgate},
	title = {The {B}arents and {C}hukchi {S}eas: Comparison of two {A}rctic shelf ecosystems},
	journal = {Journal of Marine Systems}
}
@book{MPAbook,
   title = {Пространственное планирование сохранения биоразнообразия морей {Р}оссийской {А}рктики},
   annote = {ru},
   editor = {В.А. Спиридонов and Б.А. Соловьёв and И.А. Онуфреня},
   publisher = {WWF России},
   address = {Москва},
   year = {2019},
   pagetotal  = {367},
   isbn = {978-5-XXXXXXX-X-X},
}
@InBook{MPAbook_regions,
   author = {В. А. Спиридонов and Б. А. Соловьёв and С. Е. Беликов and М. В. Гаврило and Д. М. Глазов and А. А. Кочнев and Ю. В. Краснов and О. В. Максимова and И. А. Онуфреня and Н. Г. Платонов and Ф. А. Романенко and М. И. Семёнова and У. В. Симакова and М. С. Стишов and Г. М. Тертицкий and Н. В. Чернова },
   title = {Приоритетные для охраны районы в морях {Р}оссийской {А}рктики: детальные описания},
   annote = {ru},
   chapter = {6},
   booktitle = {Пространственное планирование сохранения биоразнообразия морей {Р}оссийской {А}рктики},
   editor = {В.А. Спиридонов and Б.А. Соловьёв and И.А. Онуфреня},
   publisher = {WWF России},
   address = {Москва},
   year = {2019},
   pages = {128-367},
   pagetotal  = {367},
   isbn = {978-5-XXXXXXX-X-X},
}
@misc{LakeIcePhenology,
  doi = {10.7265/N5W66HP8},
  url = {http://nsidc.org/data/G01377.html},
  author = {Benson, B.},
  title = {{Global Lake and River Ice Phenology Database}},
  publisher = {NSIDC: National Snow {and} Ice Data Center},
  address = {Boulder, Colorado, USA},
  note = {Version 1, updated 2013},
  year = {2000}
}
@article{Todd2003,
	doi = {10.1175/1520-0442(2003)016<3186:lccolb>2.0.co;2},
	year = 2003,
	month = {oct},
	publisher = {American Meteorological Society},
	volume = {16},
	number = {19},
	pages = {3186--3199},
	author = {Martin C. Todd and Anson W. Mackay},
	title = {Large-Scale Climatic Controls on Lake Baikal Ice Cover},
	journal = {Journal of Climate}
}
@article{Kouraev2007,
	doi = {10.4319/lo.2007.52.3.1268},
	year = 2007,
	month = {may},
	publisher = {Wiley},
	volume = {52},
	number = {3},
	pages = {1268--1286},
	author = {Alexei V. Kouraev and Sergei V. Semovski and Michail N. Shimaraev and Nelly M. Mognard and Beno{\^{\i}}t Legr{\'{e}}sy and Fr{\'{e}}d{\'{e}}rique R{\'{e}}my},
	title = {The ice regime of {L}ake {B}aikal from historical and satellite data: Relationship to air temperature, dynamical, and other factors},
	journal = {Limnology and Oceanography}
}
@article{Marascuilo1966,
	doi = {10.1037/h0023189},
	year = 1966,
	publisher = {American Psychological Association ({APA})},
	volume = {65},
	number = {5},
	pages = {280--290},
	author = {Leonard A. Marascuilo},
	title = {Large-sample multiple comparisons.},
	journal = {Psychological Bulletin}
}
@InBook{prc474,
    author = {NIST},
    title = {{Comparing multiple proportions: The Marascuillo procedure}},
    chapter = {7.4.7.4},
    booktitle = {{NIST/SEMATECH e-Handbook of Statistical Methods.}},
    year = {2003},
    month = {june},
    url = {https://www.itl.nist.gov/div898/handbook/prc/section4/prc474.htm},
    zzznote = {Updated in March 2020},
    urldate = {2020-03-30},
}
@Book{Lakin1990,
   author = {Лакин, Георгий Филиппович},
   title = {Биометрия},
   annote = {ru},
   publisher = {Высшая школа},
   address = {Москва},
   year = {1990},
   isbn = {5-06-000471-6},
   pagetotal = {352},
   note = {Учебное пособие для биол. спец. вузов},
   edition = {4-е изд., перераб. и доп.},
}
@misc{ArcGIS,
   author = {{ESRI}},
   title = {{ArcGIS Desktop - ArcMap}},
   organization = {Environmental Systems Research Institute (ESRI)},
   year = {2018},
   address = {Redlands, CA},
}
@Manual{ESRI_Shapefile,
   author = {{ESRI}},
   title = {{ESRI Shapefile Technical Description}},
   year = {1998},
   mon = {Jul},
   note = {An ESRI White Paper},
   publisher = {Environmental Systems Research Institute, Inc. (ESRI)},
   address = {380 New York Street, Redlands, CA 92373-8100 USA},
}
@misc{Accenter,
  doi = {10.5281/zenodo.3842362},
  url = {https://zenodo.org/record/3842362},
  urldate = {2020-05-25},
  author = {Platonov, Nikita},
  title = {{Accenter: an interactive analysis of Marxan results}},
  publisher = {Zenodo},
  year = {2020}
}
@manual{shiny,
  title = {Easy web applications in {R}},
  author = {RStudio},
  year = {2013},
  publisher = {{RStudio, Inc}},
  note_deprecated = {URL: \url{http://www.rstudio.com/shiny/}},
  url = {https://www.rstudio.com/shiny/},
}
@Book{RMarkdown,
    title = {{R Markdown: The Definitive Guide}},
    author = {Yihui Xie and J.J. Allaire and Garrett Grolemund},
    publisher = {Chapman and Hall/CRC},
    address = {Boca Raton, Florida},
    year = {2019},
    isbn = {9781138359338},
    url = {https://bookdown.org/yihui/rmarkdown},
}
@misc{wwfWalrusPechora2020,
   author = {Маргарита Лескова and Татьяна Юлусова},
   title = {Куда ушли моржи? Ученые обеспокоены состоянием «южной группировки»},
   annote = {ru},
   journal = {Представительство WWF в Баренц экорегионе},
   publisher = {САЙТ},
   year = {2020},
   month = {Sep},
   day = {03},
   url = {https://wwf.ru/resources/news/barents/kuda-ushli-morzhi-uchenye-obespokoeny-sostoyaniem-yuzhnoy-gruppirovki},
   urldate = {2020-10-05},
}
@report{Chernook2017,
   title={{Провести визуальные учеты белых медведей на акватории Чукотского моря с борта самолета АН-26 «Арктика», в рамках учета ледовых форм тюленей весной 2016 г.}},
   annote = {ru},
   author = {В.И. Черноок and А.Н. Васильев and  Д.М. Глазов and Д.И. Литовка and Н.Г. Платонов and И.Н. Мордвинцев and Н.Г. Челинцев and Е.А. Назаренко and Н.А. Черноок and В.С. Горяинов},
   year = {2017},
   address = {Санкт-Петербург - Москва},
   type = {Отчет по выполненной работе. Договор 01/04/2016, Заказчик WWF России},
   editor = {{Руководитель работы: доктор географических наук В. И. Черноок}},
}
@report{Rozenfeld2018,
   title = {{Учет численности и плотности распределения белых медведей с использованием сверхлегкой авиации для оценки вероятности конфликтных ситуаций «человек-белый медведь» в зоне ответственности ПАО «НК «Роснефть» в Карском море}},
   annote = {ru},
   type = {Итоговый отчет о выполнении НИР по договору № 2017/04-26 от 26.04.2017},
   editor = {{Руководитель работ: В.В. Рожнов}},
   author = {В.В. Рожнов and И.Н. Мордвинцев and С.Б. Розенфельд and Н.Г. Платонов and E.A. Иванов and Л.П. Лазарев},
   year = {2018},
   organization = {ИПЭЭ РАН},
   address = {Москва},
}
@report{Yamal2020,
   author = {Рожнов, В. В. and Мордвинцев, И. Н. and Иванов, Е. А. and Платонов, Н. Г.},
   title = {Мониторинг белых медведей на островах и побережье {Я}мало-{Н}енецкого автономного округа в безледовый период},
   annote = {ru},
   type = {{Итоговый отчет по НИР по Соглашению № 6.12/2020 между «Российским центром освоения Арктики» и ИПЭЭ РАН}},
   organization = {ИПЭЭ РАН},
   year = {2020},
   editor = {{Руководитель работ: В.В. Рожнов}},
   address = {Москва},
}
@article{Garcia2020garbage,
   title = "Who’s better at spotting? A comparison between aerial photography and observer-based methods to monitor floating marine litter and marine mega-fauna",
   journal = "Environmental Pollution",
   volume = "258",
   pages = "113680",
   year = "2020",
   issn = "0269-7491",
   doi = "10.1016/j.envpol.2019.113680",
   url = "http://www.sciencedirect.com/science/article/pii/S0269749119339673",
   author = "Odei Garcia-Garin and Alex Aguilar and Asunción Borrell and Patricia Gozalbes and Agustín Lobo and Jaime Penadés-Suay and Juan A. Raga and Ohiana Revuelta and Maria Serrano and Morgana Vighi",
   keywords = "Remote sensing, Aerial surveys, Marine pollution, Marine vertebrates, Seabirds, Mediterranean sea",
   abstract = "Pollution by marine litter is raising major concerns due to its potential impact on marine biodiversity and, above all, on endangered mega-fauna species, such as cetaceans and sea turtles. The density and distribution of marine litter and mega-fauna have been traditionally monitored through observer-based methods, yet the advent of new technologies has introduced aerial photography as an alternative monitoring method. However, to integrate results produced by different monitoring techniques and consider the photographic method a viable alternative, this ‘new’ methodology must be validated. This study aims to compare observations obtained from the concurrent application of observer-based and photographic methods during aerial surveys. To do so, a Partenavia P-68 aircraft equipped with an RGB sensor was used to monitor the waters off the Spanish Mediterranean coast along 12 transects (941 km). Over 10000 images were collected and checked manually by a photo-interpreter to detect potential targets, which were classified as floating marine macro-litter, mega-fauna and seabirds. The two methods allowed the detection of items from the three categories and proved equally effective for the detection of cetaceans, sea turtles and large fish on the sea surface. However, the photographic method was more effective for floating litter detection and the observer-based method was more effective for seabird detection. These results provide the first validation of the use of aerial photography to monitor floating litter and mega-fauna over the marine surface."
}
@article{Lambert2020garbage,
   title = "Setting the scene for Mediterranean litterscape management: The first basin-scale quantification and mapping of floating marine debris",
   journal = "Environmental Pollution",
   volume = "263",
   pages = "114430",
   year = "2020",
   language = {en},
   issn = "0269-7491",
   doi = "10.1016/j.envpol.2020.114430",
   url = "http://www.sciencedirect.com/science/article/pii/S0269749120305704",
   author = "C. Lambert and M. Authier and G. Dorémus and S. Laran and S. Panigada and J. Spitz and O. {Van Canneyt} and V. Ridoux",
   keywords = "Litterscape, Marine mega-debris, Plastic pollution, Mediterranean, ACCOBAMS Survey initiative",
   abstract = "Plastic pollution has become one of the biggest environmental concerns of the Anthropocene as it represents a major threat to both wildlife and human health. Garbage patches in the world’s oceans are well documented, but quantitative assessments of floating debris are still lacking in some major areas. The Mediterranean Sea is one such area, despite being one of the most plastic polluted environments. We used data from the first international basin-scale survey of the Mediterranean Sea to provide the first abundance estimate of floating mega-debris (>30 cm) and map their distribution over the entire Mediterranean Sea. We estimated the total number of floating mega-debris at 2.9 million items, taking into account imperfect detection. Items larger than 30 cm represent only one fourth of the complete load of anthropogenic debris (>2 cm) in the Mediterranean, which scales up the estimate to 11.5 million floating debris. The highest densities were observed in the central Mediterranean, and the lowest in the eastern basin. This acute marine pollution might threaten to disrupt entire ecosystems through its impact on marine fauna (entanglement, ingestion, contamination), eventually impacting the tourism industry and the well-being of Mediterranean populations."
}
@book{Bergmann2015garbage,
	doi = {10.1007/978-3-319-16510-3},
	year = 2015,
	publisher = {Springer International Publishing},
	editor = {Melanie Bergmann and Lars Gutow and Michael Klages},
	title = {Marine Anthropogenic Litter},
	ISBN = {978-3-319-16510-3}
}
@misc{2020-AtlanticWalrus,
   author = {Наталья Владимировна Крюкова},
   title = {Таблица учетов атлантических моржей на лежбищах в разные годы},
   annote = {ru},
   year = {2020},
   month = {09},
   day = {29},
   howpublished = {Распространение по электронной почте},
   note = {Файл "2020-AtlanticWalrus.xlsx"},
}
@book{RedBook2001,
   title = {Красная книга {Р}оссийской {Ф}едерации ({ж}ивотные)},
   annote = {ru},
   year = {2001},
   publisher = {АСТ: Астрель},
   address = {Москва},
   pagetotal = {862},
   note = {РАН},
   editor = {В. И. Данилов-Данильян},
   isbn1 = {5-17-005792-X},
   isbn = {5-271-00651-4},
   url = {http://www.sevin.ru/redbook},
   urldate = {2020-10-20},
}
@book{RedBook2021,
   shorttitle = {{КК РФ}},
   title = {Красная книга {Р}оссийской {Ф}едерации},
   annote = {ru},
   volume = {"Животные"},
   year = {2021},
   edition = {2},
   publisher = {ФГБУ "ВНИИ Экология"},
   address = {Москва},
   pagetotal = {1128},
   isbn = {978-5-6047425-0-1},
   url = {https://vniiecology.ru/wp-content/uploads/2022/03/krasnaya_kniga_RF_Animals_for_print.pdf},
   urldate = {2022-06-11},
}
@InBook{RedBook2021-pbear,
   crossref = {RedBook2021},
   title = {Белый медведь},
   annote = {ru},
   pages = {976-978},
   author = {Станислав Егорович Беликов and Анатолий Анатольевич Кочнев},
   url = {https://vniiecology.ru/wp-content/uploads/2022/03/krasnaya_kniga_RF_Animals_for_print.pdf#page=976},
   urldate = {2022-06-11},
}
@book{RedBook2001en,
   shorttitle = {Red Book},
   title = {{R}ed {D}ata {B}ook of the {R}ussian {F}ederation},
   volume = {Animals},
   year = {2001},
   publisher = {AST: Astrel},
   address = {Moscow},
   pagetotal = {862},
   note = {Russian Academy of Sciences},
   hideeditor = {Danilov-Danilʹyan, V. I.},
   isbn1 = {5-17-005792-X},
   isbn = {5-271-00651-4},
   url = {http://www.sevin.ru/redbook},
   urldate = {2020-10-20},
   note = {[In Russian]},
}
@book{RedBook2021en,
   shorttitle = {Red Book},
   title = {{R}ed {D}ata {B}ook of the {R}ussian {F}ederation},
   volume = {Animals},
   year = {2021},
   edition = {2},
   publisher = {VNII "Ecology"},
   address = {Moscow},
   pagetotal = {1128},
   isbn = {978-5-6047425-0-1},
   url = {https://vniiecology.ru/wp-content/uploads/2022/03/krasnaya_kniga_RF_Animals_for_print.pdf},
   urldate = {2022-06-11},
   note = {[In Russian]},
}
@InBook{RedBook2021en-pbear,
   crossref = {RedBook2021en},
   title = {Polar Bear},
   pages = {976-978},
   author = {S.E. Belikov and A.A. Kochnev},
   url = {https://vniiecology.ru/wp-content/uploads/2022/03/krasnaya_kniga_RF_Animals_for_print.pdf#page=976},
   urldate = {2022-06-11},
   note = {[In Russian]},
}
@misc{RedBook2020-order162,
   title = {{Приказ Министерства природных ресурсов и экологии Российской Федерации от 24.03.2020 № 162 "Об утверждении Перечня объектов животного мира, занесенных в Красную книгу Российской Федерации" (Зарегистрирован 02.04.2020 № 57940)}},
   annote = {ru},
   author = {{Минприроды России}},
   year = {2020},
   month = {04},
   day = {02},
   url = {http://publication.pravo.gov.ru/Document/View/0001202004020020},
   urldate = {2020-10-20},
}
@misc{RedList_IUCN,
   author = {{IUCN}},
   title = {{The IUCN Red List of Threatened Species}},
   year = {2020},
   month = {Oct},
   url = {https://www.iucnredlist.org},
   urldate = {2020-10-20},
   note = {Version 2020-2},
}
@misc{RedList_PolarBear,
   author = {Wiig, Ø. and Amstrup, S. and Atwood, T. and Laidre, K. and Lunn, N. and Obbard, M. and Regehr, E. and Thiemann, G.},
   year = {2015},
   title = {{\textit{Ursus maritimus}. The IUCN Red List of Threatened Species}},
   note = {2015: e.T22823A14871490},
   doi ={10.2305/IUCN.UK.2015-4.RLTS.T22823A14871490.en},
}
@book{Distance,
   author = {Buckland, S.T. and Anderson, D.R. and Burnham, K.P. and Laake, J.L.},
   year = {1993},
   title = {{Distance Sampling: Estimating Abundance of Biological Populations}},
   publisher = {Chapman {and} Hall},
   address = {London},
   pagetotal = {446},
   isbn = {9780198509271},
}
@article{ChelintsevBeluga,
   author = {Никита Геннадьевич Челинцев},
   title = {Программа {«БелуХа»} для расчета численности белух по данным авиаучета в {О}хотском море},
   annote = {ru},
   journal = {Бюллетень МОИП. Отдел биологический},
   year = {2014},
   volume = {№6},
   pages = {3-16},
   url = {https://cyberleninka.ru/article/n/programma-beluha-dlya-rascheta-chislennosti-beluh-po-dannym-aviaucheta-v-ohotskom-more},
   urldate = {2020-10-20},
}
@manual{CleanSeas2020-program,
   author = {{ИПЭЭ РАН}},
   title = {Изучение белого медведя и морских млекопитающих в прибрежных районах {К}арского моря в летне-осенний период по данным тестовых авиаучётов с использованием самолета {Ла-8}},
   annote = {ru},
   type = {Программа научно-исследовательских работ},
   note = {Основание: договор на выполнение НИР № Ф-200520/БМ-1 от 20 мая 2020 г. между Международным экологическим фондом «Чистые моря» и ИПЭЭ РАН},
   institution = {ИПЭЭ РАН},
   year = {2020},
}
@article{ncep1_project,
	doi = {10.1175/1520-0477(1996)077<0437:tnyrp>2.0.co;2},
	year = 1996,
	month = {mar},
	publisher = {American Meteorological Society},
	volume = {77},
	number = {3},
	pages = {437--471},
	author = {E. Kalnay and M. Kanamitsu and R. Kistler and W. Collins and D. Deaven and L. Gandin and M. Iredell and S. Saha and G. White and J. Woollen and Y. Zhu and A. Leetmaa and R. Reynolds and M. Chelliah and W. Ebisuzaki and W. Higgins and J. Janowiak and K. C. Mo and C. Ropelewski and J. Wang and Roy Jenne and Dennis Joseph},
	title = {The {NCEP}/{NCAR} 40-Year Reanalysis Project},
	journal = {Bulletin of the American Meteorological Society}
}
@misc{ncep1_monthly,
	author = {{PSL Team}},
	title = {{NCEP/NCAR Reanalysis Monthly Means and Other Derived Variables}},
	year = {2020},
	url = {https://psl.noaa.gov/data/gridded/data.ncep.reanalysis.derived.html},
	urldate = {2020-10-22},
	address = {Boulder, Colorado, USA},
	publisher = {NOAA/OAR/ESRL PSL},
}
@misc{ncep1_data,
   author = {{National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce}},
   year = {1994},
   note = {updated monthly},
   title = {NCEP/NCAR Global Reanalysis Products, 1948-continuing},
   publisher = {Research Data Archive at NOAA/PSL},
   url = {https://psl.noaa.gov/data/gridded/data.ncep.reanalysis.html},
   urldate = {2022-05-12},
}
@report{Boltunov_final2,
   title={Лабораторные исследования биологических образцов, полученных от белых медведей в ходе выполнения полевой части работ. {А}нализ результатов слежения за медведями, помеченными спутниковыми передатчиками},
   annote = {ru},
   author = {А.Н. Болтунов and В.С. Семенова and С.Е. Беликов and Н.А. Илларионова and К.А. Захарова},
   type = {Итоговый отчет по теме: "Изучение белых медведей в районах перспективного освоения месторождений углеводородов на российском арктическом шельфе в 2015 году". Этап 2},
   note = {Договор № 03-2015 ПР от 07 апреля 2015 г.},
   volume = {2},
   organization = {РОО "Совет по морским млекопитающим"},
   year = {2016},
   editor = {{Руководитель работ: А.Н.Болтунов}},
   address = {Москва},
}
@report{Boltunov_booklet2,
   title={{Лабораторные исследования биологических образцов, полученных от белых медведей в ходе выполнения полевой части работ (Этап 1). Подготовка информационной брошюры по результатам исследований белых медведей, проведенных по заказу АНЦ в ходе экспедиций 2014 и 2015 гг.}},
   annote = {ru},
   author = {А.Н. Болтунов and В.С. Семенова and Н.А. Илларионова and Е.Л. Джикия and Т.В. Денисенко and К.А. Захарова},
   type = {Отчет по теме «Исследование чукотско-аляскинской популяции белого медведя в ходе экспедиционных работ, обзор фондовых данных по изученности популяций белого медведя российской Арктики». Этап 2},
   note = {Договор № 09-2015 ПР от «09» сентября 2015 г.},
   volume = {2},
   organization = {РОО "Совет по морским млекопитающим"},
   year = {2016},
   editor = {{Руководитель работ: А.Н.Болтунов}},
   address = {Москва},
}
@report{Boltunov_interim2,
   title={Лабораторные исследования биологических образцов, полученных от белых медведей в ходе выполнения первого и второго этапов работ по договору.},
   annote = {ru},
   author = {С.Е. Беликов and А.Н. Болтунов and В.С. Семенова and Н.А. Илларионова},
   type = {Отчет о НИР по теме: "Изучение белых медведей в районах перспективного освоения месторождений углеводородов на российском арктическом шельфе".},
   note = {Этап 2. Договор № 06-2014 НИР от «07» июля 2014 г.},
   volume = {2},
   organization = {РОО "Совет по морским млекопитающим"},
   year = {2015},
   editor = {{Руководитель работ: А.Н.Болтунов}},
   address = {Москва},
}
@report{Boltunov_final3,
   author = {А.Н. Болтунов and В.С. Семенова and Е.Л. Джикия and Н.А. Илларионова and Т.Е. Денисенко and В.В. Никифоров and Н.В. Шабалин and К.Ю. Назарова and В.В. Козловский and А.И. Кокорин and К.А. Захарова},
   title = {Камеральная обработка данных экспедиционных исследований 2016 г., включая лабораторную обработку отобранных биологических образцов},
   annote = {ru},
   type = {Исследование белых медведей и моржей в ходе экспедиционных работ в районах перспективного освоения месторождений углеводородов на российском арктическом шельфе в 2016 и 2017 гг. Этап 3},
   note = {Договор № 11-2016 ПР от 28 июня 2016 г. между ООО «Арктический Научный Центр» и РОО «Совет по морским млекопитающим»},
   volume = {3},
   number = {33},
   year = {2017},
   organization = {РОО "Совет по морским млекопитающим"},
   editor = {{Руководитель работ: А.Н.Болтунов}},
}
@report{Platonov_Rosneft_pbear,
   year = {2020},
   author = {Платонов, Н. Г.},
   note = {\textit{В подготовке}. Предварительная нумерация раздела в общем отчете -- 2.2.2.},
   title = {Анализ абиотических факторов, определяющих распределение белого медведя с учетом сезонной и межгодовой изменчивости},
   annote = {ru},
   type = {Аналитический обзор опубликованных и фондовых материалов об уровне изученности белого медведя и моржа},
   organization = {ИПЭЭ РАН},
   address = {Москва},
   editor = {{Сведение текста: С. М. Артемьева}},
}
@report{Platonov_Rosneft_boltunov,
   year = {2020},
   author = {Платонов, Н. Г.},
   note = {\textit{В подготовке}. Предварительная нумерация раздела в общем отчете -- 2.4.2.},
   title = {{Анализ данных Роснефти и АНЦ по спутниковой биотелеметрии белого медведя}},
   annote = {ru},
   type = {Аналитический обзор опубликованных и фондовых материалов об уровне изученности белого медведя и моржа},
   organization = {ИПЭЭ РАН},
   address = {Москва},
   editor = {{Сведение текста: С. М. Артемьева}},
}
@report{Platonov_Rosneft_perspective,
   year = {2020},
   author = {Платонов, Н. Г.},
   note = {\textit{В подготовке}. Предварительная нумерация раздела в общем отчете -- 2.5.},
   title = {{Картографирование результатов проведённого анализа по изученности современного состояния белого медведя для оценки перспективных районов исследований}},
   annote = {ru},
   type = {Аналитический обзор опубликованных и фондовых материалов об уровне изученности белого медведя и моржа},
   organization = {ИПЭЭ РАН},
   address = {Москва},
   editor = {{Сведение текста: С. М. Артемьева}},
}
@report{Pechora2018,
   annote = {ru},
   title = {Научно-техническое обеспечение инструментальной авиасъёмки восточных районов {П}ечорского моря в апреле 2018 г.},
   author = {В. И. Черноок},
   address = {Санкт-Петербург},
   year = {2018},
   type = {Заказчик ООО «Центр морских исследований», договор № 2-2018/суб-ВВ от 10.04.2018г.},
}
@report{Pechora2019,
   annote = {ru},
   title = {Научно-техническое обеспечение инструментальной авиасъёмки восточных районов {П}ечорского моря в апреле 2019 г.},
   author = {В. И. Черноок},
   address = {Санкт-Петербург},
   year = {2019},
   type = {Заказчик ООО «Центр морских исследований», договор № 03-04-2019/DL-1 от 03.04.2019},
}
@article{Argos-filter,
   author= {Freitas, Carla and Lydersen, Christian and Fedak, Michael A. and Kovacs, Kit M.},
   year = {2008},
   month = {April},
   title = {A simple new algorithm to filter marine mammal {A}rgos locations},
   journal = {Marine Mammal Science},
   volume = {24},
   number = {3},
   pages = {315-325},
   doi = {10.1111/j.1748-7692.2007.00180.x},
}
@Article{Jonsen2020,
  title = {A continuous-time state-space model for rapid quality-control of {A}rgos locations from animal-borne tags},
  author = {Ian D. Jonsen and Toby A. Patterson and Daniel P. Costa and Philip D. Doherty and Brendan J. Godley and W. James Grecian and Christophe Guinet and Xavier Hoenner and Sarah S. Kienle and Patrick W. Robinson and Stephen C. Votier and Scott Whiting and Matthew J. Witt and Mark A. Hindell and Robert G. Harcourt and Clive R. McMahon},
  journal = {Movement Ecology},
  year = {2020},
  volume = {8},
  pages = {31},
  doi = {10.1186/s40462-020-00217-7},
}

@Article{Jonsen2019,
  title = {Movement responses to environment: fast inference of variation among southern elephant seals with a mixed effects model},
  author = {Ian D. Jonsen and Clive R. McMahon and Toby A. Patterson and Marie Auger-Méthé and Robert G. Harcourt and Mark A. Hindell and Sophie Bestley},
  journal = {Ecology},
  year = {2019},
  volume = {100},
  pages = {e02566},
  doi = {10.1002/ecy.2566},
}
@article{Paetkau1999,
	doi = {10.1046/j.1365-294x.1999.00733.x},
	year = 1999,
	month = {oct},
	publisher = {Wiley},
	volume = {8},
	number = {10},
	pages = {1571--1584},
	author = {D. Paetkau and S. C. Amstrup and E. W. Born and W. Calvert and A. E. Derocher and G. W. Garner and F. Messier and I. Stirling and M. K. Taylor and O. Wiig and C. Strobeck},
	title = {Genetic structure of the world{\textquotesingle}s polar bear populations},
	journal = {Molecular Ecology}
}
@article{Malenfant2016,
	doi = {10.1371/journal.pone.0148967},
	year = 2016,
	month = {mar},
	publisher = {Public Library of Science ({PLoS})},
	volume = {11},
	number = {3},
	pages = {e0148967},
	author = {Ren{\'{e}} M. Malenfant and Corey S. Davis and Catherine I. Cullingham and David W. Coltman},
	editor = {Axel Janke},
	title = {Circumpolar Genetic Structure and Recent Gene Flow of Polar Bears: A Reanalysis},
	journal = {{PLOS} {ONE}}
}
@article{BelikovBoltunov2014-FJL,
   author = {С.Е. Беликов and А.Н. Болтунов},
   title = {Белый медведь в районе архипелага {З}емля {Ф}ранца-{И}осифа: история и результаты исследований, проблемы охраны и пути их решения},
   annote = {ru},
   year = {2014},
   volume = {4},
   number = {23},
   pages = {263-288},
   journal = {Труды Кольского научного центра РАН},
}
@InProceedings{Mizin2018,
  author    = {Мизин, И.А. and  Мордвинцев, И.Н. and Иванов, Е.А. and Платонов, Н.Г. and Кирилов, А.Г.  and Рожнов, В.В.},
  title     = {Мониторинг белого медведя в западной части архипелага {Земля Франца-Иосифа} в период выхода из берлог},
   annote = {ru},
  year      = {2018},
  booktitle = {Морские млекопитающие Голарктики 2018. Сборник тезисов},
  pages     = {75},
  organization = {РОО "Совет по морским млекопитающим"},
  address   = {Москва},
}
@InProceedings{Mizin2018en,
  author    = {Mizin, I.A. and Мordvintsev, I.N. and Ivanov, E.A. and Platonov, N.G. and Kirilov, A.G. and Rozhnov, V.V.},
  title     = {Monitoring polar bears in the western part of {Franz Josef Land} when they are out of their dens},
  year      = {2018},
  booktitle = {Xth International Conference "Marine Mammals of Holarctic"-2018, Abstracts},
  pages     = {183},
  organization = {RPO Marine Mammal Council},
  address   = {Moscow},
}

@article{Worton1995,
   doi = {10.2307/3801959},
   ISSN = {0022541X, 19372817},
   year = 1995,
   month = {oct},
   publisher = {{JSTOR}},
   volume = {59},
   number = {4},
   pages = {794-800},
   author = {Bruce J. Worton},
   title = {Using {M}onte {C}arlo Simulation to Evaluate Kernel-Based Home Range Estimators},
   journal = {The Journal of Wildlife Management}
}
@article{Worton1989,
   doi = {10.2307/1938423},
   year = {1989},
   month = {feb},
   publisher = {Wiley},
   volume = {70},
   number = {1},
   pages = {164--168},
   issn = {1939-9170},
   author = {B. J. Worton},
   title = {Kernel Methods for Estimating the Utilization Distribution in Home-Range Studies},
   journal = {Ecology},
   publisher = {Ecological Society of America},
}
@report{ANO2020,
   title={Картирование перемещений и оценка размеров индивидуальных участков белых медведей, помеченных спутниковыми ошейниками в 2018, 2019 и 2020 гг. в акватории {К}арского моря (по сезонам и в течение года в целом)},
   annote = {ru},
   author = {В.В. Рожнов and И.Н. Мордвинцев and  С.В. Найденко and Е.А. Иванов and Н.Г. Платонов},
   type = {{Отчёт о выполнении НИР по теме «Изучение состояния карско-баренцевоморской популяции белого медведя в районах Земли Франца-Иосифа и Ямало-Ненецкого автономного округа в зоне ответственности ПАО «НК «Роснефть»}},
   note = {По дополнительному соглашению №1 к Договору № 5/0719 от 15.07.2019, Москва, 26 марта 2020 г.},
   organization = {ИПЭЭ РАН},
   year = {2020},
   editor = {{Руководитель работ: В.В. Рожнов}},
   address = {Москва},
}
@article{Tiger2011,
   title = {Использование спутниковых радиомаяков для изучения участка обитания и активности амурского тигра ({\textit{Panthera tigris Altaica}})},
   annote = {ru},
   author = {В.В. Рожнов and Х.-А. Эрнандес-Бланко and В.С. Лукаревский and С.В. Найденко and П.А. Сорокин and М.Н. Литвинов and А.К. Котляр and Д.С. Павлов},
   journal = {Зоологический журнал},
   year = {2011},
   volume = {90},
   number = {5},
   pages = {580--594},
}
@article{Evans2003,
	doi = {10.14430/arctic633},
	year = 2003,
	month = {jan},
	publisher = {The Arctic Institute of North America},
	volume = {56},
	number = {4},
	author = {Thomas J. Evans and Anthony Fischbach and Scott Schliebe and Bryan Manly and Susanne Kalxdorff and Geoff York},
	title = {Polar Bear Aerial Survey in the Eastern {C}hukchi {S}ea: A Pilot Study},
	journal = {{ARCTIC}}
}
@article{Stapleton2016,
   author = {Stapleton, Seth and Peacock, Elizabeth and Garshelis, David},
   title = {Aerial surveys suggest long-term stability in the seasonally ice-free Foxe Basin (Nunavut) polar bear population},
   journal = {Marine Mammal Science},
   volume = {32},
   number = {1},
   pages = {181-201},
   keywords = {abundance estimation, aerial survey, Arctic, distance sampling, double-observer, line transect, marine mammals},
   doi = {https://doi.org/10.1111/mms.12251},
   eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1111/mms.12251},
   abstract = {Abstract Significant information gaps exist regarding the status of polar bears, especially with respect to the impacts of climate change, across large portions of the Arctic. To obtain an updated abundance estimate for the Foxe Basin population, we conducted comprehensive aerial surveys during the 2009 and 2010 ice-free seasons, when bears are confined to land. We sampled with mark-recapture distance sampling protocols on inland and coastal transects and surveyed small islands and remnant ice floes. We observed 816 and 1,003 bears in 2009 and 2010, respectively. Although detection functions differed substantially between years, estimates were consistent between analytical methods and years. Averaging four estimates (two from each year) yielded 2,585 (2,096–3,189) bears, which is similar to an estimate from the 1990s. This result, along with robust cub production, suggests a stable and healthy population despite deteriorating sea ice conditions. Collectively, this and other recent on-land surveys provide a framework for implementing aerial surveys elsewhere. Although aerial surveys do not yield estimates of vital rates or population growth, they enable more rapid and frequent monitoring than mark-recapture. Integrating them in long-term monitoring programs will require consideration of ancillary data to infer status and facilitate setting harvest levels.},
   year = {2016}
}
@article{Obbard2015,
	doi = {10.1007/s00300-015-1737-5},
	year = 2015,
	month = {jul},
	publisher = {Springer Science and Business Media {LLC}},
	volume = {38},
	number = {10},
	pages = {1713--1725},
	author = {Martyn E. Obbard and Seth Stapleton and Kevin R. Middel and Isabelle Thibault and Vincent Brodeur and Charles Jutras},
	title = {Estimating the abundance of the Southern Hudson Bay polar bear subpopulation with aerial surveys},
	journal = {Polar Biology}
}
@article{Obbard2018,
	doi = {10.1139/as-2018-0004},
	year = 2018,
	month = {dec},
	publisher = {Canadian Science Publishing},
	volume = {4},
	number = {4},
	pages = {634--655},
	author = {Martyn E. Obbard and Seth Stapleton and Guillaume Szor and Kevin R. Middel and Charles Jutras and Markus Dyck},
	title = {Re-assessing abundance of Southern Hudson Bay polar bears by aerial survey: effects of climate change at the southern edge of the range},
	journal = {Arctic Science}
}
@article{Nielson2012,
	doi = {10.1111/j.1748-7692.2012.00574.x},
	year = 2012,
	month = {jul},
	publisher = {Wiley},
	volume = {29},
	number = {3},
	pages = {389--406},
	author = {Ryan M. Nielson and Thomas J. Evans and Michelle Bourassa Stahl},
	title = {Investigating the potential use of aerial line transect surveys for estimating polar bear abundance in sea ice habitats: A case study for the Chukchi Sea},
	journal = {Marine Mammal Science}
}
@inbook{WiigDerocher1999,
   editor = {Garner, G.W. and Amstrup, S.C. and Laake, J.L. and Manly, B.F.J. and McDonald, L.L. and Robertson, D.G.},
   booktitle = {Marine mammal survey and assessment methods},
   publisher = {Balkema Press},
   address= {Rotterdam},
   author = {Wiig, Ø. and Derocher, A.},
   title = {Application of aerial survey methods to polar bears in the {B}arents {S}ea},
   pages = {27-36},
   year = {1999},
}
@report{ANO2018,
   note = {{Итоговый отчет о выполнении нир по договору № 2017/04-26 от 26.04.2017}},
   title = {{Учет численности и плотности распределения белых медведей с использованием сверхлегкой авиации для оценки вероятности конфликтных ситуаций «человек-белый медведь» в зоне ответственности пао «НК «Роснефть» в Карском море}},
   annote = {ru},
   author = {В. В. Рожнов and И. Н. Мордвинцев and С. Б. Розенфельд and Н. Г. Платонов and Е. А. Иванов and Л. П. Лазарев},
   organization = {ИПЭЭ РАН},
   year = {2018},
   editor = {{Руководитель работ: В.В. Рожнов}},
   address = {Москва},
}
@article{Kochkarev,
   title = {Учет численности белого медведя в восточной части {К}арского моря и в западной части моря {Л}аптевых},
   annote = {ru},
   author = {Берсенев, А. Е. and Кочкарев, П. В. and Зарубин, Д. С. and Кульпин, А. А. and Федосеева, Е. А.},
   journal = {Проблемы региональной экологии},
   year = {2020},
   volume = {№2},
   pages = {69-76},
   doi = {10.24411/1728-323X-2020-12069},
}
@article{Pagano2021_physio,
	doi = {10.1242/jeb.228049},
	year = 2021,
	month = {feb},
	publisher = {The Company of Biologists},
	volume = {224},
	number = {Suppl 1},
	pages = {jeb228049},
	publisher = {The Company of Biologists Ltd},
	author = {Anthony M. Pagano and Terrie M. Williams},
	title = {Physiological consequences of Arctic sea ice loss on large marine carnivores: unique responses by polar bears and narwhals},
	journal = {The Journal of Experimental Biology}
}
@Manual{PROJ,
   title = {{PRØJ} coordinate transformation software library},
   author = {{PROJ contributors}},
   organization = {Open Source Geospatial Foundation},
   year = {2022},
   url = {https://proj.org/},
}
@misc{MarxanSolutions,
   title = {Marxan -- conservation solutions},
   author = {{Marxan advisory committee}},
   year = {2020},
   url = {https://marxansolutions.org},
   urldate = {2021-03-06}
}
@article{Ivanov2020_cannibalism,
	doi = {10.1007/s00300-020-02771-7},
	year = 2020,
	month = {nov},
	publisher = {Springer Science and Business Media {LLC}},
	volume = {43},
	number = {12},
	pages = {2121--2127},
	author = {E. A. Ivanov and I. A. Mizin and A. G. Kirilov and N. G. Platonov and I. N. Mordvintsev and S. V. Naidenko and V. V. Rozhnov},
	title = {Observations of intraspecific killing, cannibalism, and aggressive behavior among polar bears (\emph{{U}rsus maritimus}) in the eastern {Barents Sea} and the {Kara Sea}},
	journal = {Polar Biology}
}
@report{MasterOfTheArctic2020,
   author = { Рожнов, В. В. and Мордвинцев, И. Н. and Глазов, Д. М. and Платонов, Н. Г. and Назаренко, Е. А. and Пилипенко, Г. Ю.},
   title = {Результаты воздушной экспедиции {«Хозяин Арктики»}},
   annote = {ru},
   type = {Итоговый отчет по договору Ф-200520/БМ-1 “«Чистые моря» – ИПЭЭ РАН” от 20 мая 2020 г. ИПЭЭ РАН, Москва},
   institute = {ИПЭЭ РАН},
   organization = {ИПЭЭ РАН},
   year = {2020},
   editor = {{Руководитель работ: В.В. Рожнов}},
   address = {Москва},
}
@misc{SeaAreas_v3,
  doi = {10.14284/323},
  url = {http://www.vliz.be/en/imis?dasid=5444&doiid=323},
  author = {{Flanders Marine Institute}},
  keywords = {Boundaries, Geography},
  language = {en},
  title = {IHO Sea Areas, version 3},
  publisher = {Marine Data Archive},
  address = {{Flanders Marine Institute (VLIZ), Belgium}},
  year = {2018},
  copyright = {Attribution-NonCommercial-ShareAlike (CC BY-NC-SA)}
}
@misc{AppEEARS,
   author = {{AppEEARS Team}},
   year = {2022},
   title = {{Application for Extracting and Exploring Analysis Ready Samples (AppEEARS)}},
   note = {Ver. 3.18.1},
   organization = {NASA EOSDIS Land Processes Distributed Active Archive Center (LP DAAC), USGS/Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota, USA},
   url = {https://appeears.earthdatacloud.nasa.gov},
   urldate = {2022-11-18}, 
}
@misc{MOD13A2.006,
    author = {Didan, Kamel},
    year = {2015},
    title = {{MOD13A2 MODIS/Terra Vegetation Indices 16-Day L3 Global 1km SIN Grid V006}},
    publisher = {NASA EOSDIS Land Processes DAAC},
    url = {https://modis.gsfc.nasa.gov/data/dataprod/mod13.php},
    urldate = {2021-12-10},
    doi = {10.5067/MODIS/MOD13A2.006}
}
@misc{MYD13A2.006,
    author = {Didan, Kamel},
    year = {2015},
    title = {{MYD13A2 MODIS/Aqua Vegetation Indices 16-Day L3 Global 1km SIN Grid V006}},
    publisher = {NASA EOSDIS Land Processes DAAC},
    url = {https://modis.gsfc.nasa.gov/data/dataprod/mod13.php},
    urldate = {2021-12-10},
    doi = {10.5067/MODIS/MYD13A2.006}
}
@misc{MOD13A2.061,
  doi = {10.5067/MODIS/MOD13A2.061},
  url = {https://lpdaac.usgs.gov/products/mod13a2v061/},
  author = {Didan,  Kamel},
  title = {{MODIS/Terra Vegetation Indices 16-Day L3 Global 1km SIN Grid V061}},
  publisher = {NASA EOSDIS Land Processes DAAC},
  year = {2021}
}
@misc{MYD13A2.061,
  doi = {10.5067/MODIS/MYD13A2.061},
  url = {https://lpdaac.usgs.gov/products/myd13a2v061/},
  author = {Didan,  Kamel},
  title = {{MODIS/Aqua Vegetation Indices 16-Day L3 Global 1km SIN Grid V061}},
  publisher = {NASA EOSDIS Land Processes DAAC},
  year = {2021}
}
@misc{MYD02QKM,
  doi = {10.5067/MODIS/MYD02QKM.061},
  url = {https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MYD02QKM},
  author = {{MODIS Science Team}},
  title = {{MYD02QKM MODIS/Aqua Calibrated Radiances 5-Min L1B Swath 250m}},
  publisher = {NASA Level 1 {and} Atmosphere Archive and Distribution System},
  year = {2017}
}
@misc{MOD02QKM,
  doi = {10.5067/MODIS/MOD02QKM.061},
  url = {https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MOD02QKM},
  author = {{MODIS Science Team}},
  title = {{MOD02QKM MODIS/Terra Calibrated Radiances 5-Min L1B Swath 250m}},
  publisher = {NASA Level 1 {and} Atmosphere Archive and Distribution System},
  year = {2017}
}
@article{Lippold2022_mercury,
	doi = {10.1016/j.scitotenv.2022.153572},
	year = 2022,
	month = {may},
	publisher = {Elsevier {BV}},
	volume = {822},
	pages = {153572},
	author = {Anna Lippold and Andrei Boltunov and Jon Aars and Magnus Andersen and Marie-Anne Blanchet and Rune Dietz and Igor Eulaers and Tamara N. Morshina and Vyacheslav S. Sevastyanov and Jeffrey M. Welker and Heli Routti},
	title = {Spatial variation in mercury concentrations in polar bear (\emph{{U}rsus maritimus}) hair from the {N}orwegian and {R}ussian {A}rctic},
	journal = {Science of The Total Environment}
}
@article{Durner2019_RSF,
	doi = {10.1002/ece3.5401},
	year = 2019,
	month = {jul},
	publisher = {Wiley},
	volume = {9},
	number = {15},
	pages = {8625--8638},
	author = {George M. Durner and David C. Douglas and Todd C. Atwood},
	title = {Are polar bear habitat resource selection functions developed from 1985--1995 data still useful?},
	journal = {Ecology and Evolution}
}
@misc{Durner2019_data,
  doi = {10.5066/P9ZRJ3XU},
  url = {https://alaska.usgs.gov/products/data.php?dataid=246},
  author = {Durner, George M},
  keywords = {bears, polar bears, species life history, threatened species, marine mammals, Biogeography, Chukchi Sea, Beaufort Sea, Alaska, environment},
  title = {{Polar Bear Distribution and Habitat Resource Selection Data, Beaufort and Chukchi Seas}, 1985-2016},
  publisher = {U.S. Geological Survey},
  year = {2019}
}
@misc{Pagano2021_CRW,
  doi = {10.5066/F7SN071N},
  url = {https://alaska.usgs.gov/products/data.php?dataid=427},
  author = {Pagano, Anthony M and Durner, George M and Atwood, Todd C and Douglas, David C},
  keywords = {Mammals, Carnivores, Bears, Species Life History, Use/Feeding habitat, Telemetry, Marine mammals, Threatened species, Wildlife, Coastal ecosystems, Marine ecosystems, Animal behavior, Biogeography, Satellite Transmitter, Argos, PTT, GPS, Polar bears, Ursus maritimus},
  title = {{Polar Bear Continuous Time-Correlated Random Walk (CTCRW) Location Data Derived from Satellite Location Data, Southern Beaufort Sea, 1986-2016}},
  publisher = {U.S. Geological Survey},
  year = {2021}
}
@article{Douglas2012_ArgosFilter,
	doi = {10.1111/j.2041-210x.2012.00245.x},
	year = 2012,
	month = {oct},
	publisher = {Wiley},
	volume = {3},
	number = {6},
	pages = {999--1007},
	author = {David C. Douglas and Rolf Weinzierl and Sarah C. Davidson and Roland Kays and Martin Wikelski and Gil Bohrer},
	editor = {Luca Giuggioli},
	title = {Moderating Argos location errors in animal tracking data},
	journal = {Methods in Ecology and Evolution}
}
@article{Elith2009,
	doi = {10.1146/annurev.ecolsys.110308.120159},
	year = 2009,
	month = {dec},
	publisher = {Annual Reviews},
	volume = {40},
	number = {1},
	pages = {677--697},
	author = {Jane Elith and John R. Leathwick},
	title = {Species Distribution Models: Ecological Explanation and Prediction Across Space and Time},
	journal = {Annual Review of Ecology, Evolution, and Systematics},
}
@article{Guisan2005,
	doi = {10.1111/j.1461-0248.2005.00792.x},
	year = 2005,
	month = {aug},
	publisher = {Wiley},
	volume = {8},
	number = {9},
	pages = {993--1009},
	author = {Antoine Guisan and Wilfried Thuiller},
	title = {Predicting species distribution: offering more than simple habitat models},
	journal = {Ecology Letters},
}
@article{Elith2006,
	doi = {10.1111/j.2006.0906-7590.04596.x},
	year = 2006,
	month = {mar},
	publisher = {Wiley},
	volume = {29},
	number = {2},
	pages = {129--151},
	author = {Jane Elith and Catherine H. Graham and Robert P. Anderson and Miroslav Dud{\'{\i}}k and Simon Ferrier and Antoine Guisan and Robert J. Hijmans and Falk Huettmann and John R. Leathwick and Anthony Lehmann and Jin Li and Lucia G. Lohmann and Bette A. Loiselle and Glenn Manion and Craig Moritz and Miguel Nakamura and Yoshinori Nakazawa and Jacob McC. M. Overton and A. Townsend Peterson and Steven J. Phillips and Karen Richardson and Ricardo Scachetti-Pereira and Robert E. Schapire and Jorge Sober{\'{o}}n and Stephen Williams and Mary S. Wisz and Niklaus E. Zimmermann},
	title = {Novel methods improve prediction of species' distributions from occurrence data},
	journal = {Ecography}
}
@Book {Bannikov1969,
   title = {Белый медведь и его охрана в {С}оветской {А}рктике},
   annote = {ru},
   location = {Л.},
   publisher = {Гидрометеоиздат},
   year = {1969},
   editor = {Банников, Андрей Григорьевич},
}
@InBook {Kischinsky1969,
   crossref = {Bannikov1969},
   title = {Белый медведь на {Н}овосибирских островах},
   annote = {ru},
   author = {Кищинский, А. А.},
   pages = {103-113},
}
@InBook {Karpovich1969,
   crossref = {Bannikov1969},
   title = {Размещение белого медведя в {С}оветской {А}рктике по данным корреспондентской сети},
   annote = {ru},
   author = {Карпович, В. Н.},
   pages = {68-88},
}
@Book {Bannikov1969en,
   title = {{The Polar Bear and its Conservation in the Soviet Arctic}},
   location = {Leningrad},
   publisher = {Hydrometeorological Publishing House},
   year = {1969},
   editor = {Bannikov, A. G.},
}
@InBook {Karpovich1969en,
   crossref = {Bannikov1969en},
   title = {{Distribution and Numbers of the Polar Bear in Soviet Arctic, According to Observations Carried out by a Correspondent Network}},
   author = {Karpovitch, V. N.},
   pages = {68-88},
}
@InBook {Kischinsky1969en,
   crossref = {Bannikov1969en},
   title = {{Polar Bear on the Novosibirsk Islands}},
   author = {Kitschinsky, A. A.},
   pages = {103-113},
}
@article{Mauritzen2002,
	doi = {10.1046/j.1365-2664.2002.00690.x},
	year = 2002,
	month = {feb},
	publisher = {Wiley},
	volume = {39},
	number = {1},
	pages = {79--90},
	author = {Mette Mauritzen and Andrew E. Derocher and Øystein Wiig and Stanislav E. Belikov and Andrei N. Boltunov and Edmond Hansen and Gerald W. Garner},
	title = {Using satellite telemetry to define spatial population structure in polar bears in the {N}orwegian and western {R}ussian {A}rctic},
	journal = {Journal of Applied Ecology}
}
@book{Uspensky1989,
   author= {Успенский, С. М.},
   title = {Белый медведь},
   annote = {ru},
   location = {Москва},
   publisher = {Агропромиздат},
   year = {1989},
   pagetotal = {190},
   note = {ил.},
   isbn = {5-10-00248-4},
}
@InProceedings{KaraWinter2014,
  title = {The results of marine mammal countins during the four expeditionsin the {A}rctic in 2014 and 2015},
  author = {Petrov, S.A. and Isachenko, A.I. and Glebova, M.A. and Gavrilov, Y.G. and Fedotov, S.A. and Ponomartsev, N.V. and Semenov, A.G. and Kuchin, S.O. and Shishman, С.М. and Pavlov, V.A.},
  booktitle = {{Marine Mammals of the Holarctic: Collection of Scientific Papers after the Sixth International Conference (Astrakhan, Russia, 31 October - 05 November, 2016)}},
  year      = {2018},
  publisher = {RPO "Marine Mammal Council"},
  address   = {Moscow},
  isbn      = {978-5-9904294-6-8},
  pages     = {91-102},
}
@article{Conn2021,
    doi = {10.1371/journal.pone.0251130},
    author = {Conn, Paul B. and Chernook, Vladimir I. and Moreland, Erin E. and Trukhanova, Irina S. and Regehr, Eric V. and Vasiliev, Alexander N. and Wilson, Ryan R. and Belikov, Stanislav E. and Boveng, Peter L.},
    journal = {PLOS ONE},
    publisher = {Public Library of Science},
    title = {Aerial survey estimates of polar bears and their tracks in the {C}hukchi {S}ea},
    year = {2021},
    month = {05},
    volume = {16},
    pages = {1-24},
    abstract = {Polar bears are of international conservation concern due to climate change but are difficult to study because of low densities and an expansive, circumpolar distribution. In a collaborative U.S.-Russian effort in spring of 2016, we used aerial surveys to detect and estimate the abundance of polar bears on sea ice in the Chukchi Sea. Our surveys used a combination of thermal imagery, digital photography, and human observations. Using spatio-temporal statistical models that related bear and track densities to physiographic and biological covariates (e.g., sea ice extent, resource selection functions derived from satellite tags), we predicted abundance and spatial distribution throughout our study area. Estimates of 2016 abundance (N ^ *) ranged from 3,435 (95% CI: 2,300-5,131) to 5,444 (95% CI: 3,636-8,152) depending on the proportion of bears assumed to be missed on the transect line during Russian surveys (g(0)). Our point estimates are larger than, but of similar magnitude to, a recent estimate for the period 2008-2016 (N ^ * = 2 , 937; 95% CI 1,522-5,944) derived from an integrated population model applied to a slightly smaller area. Although a number of factors (e.g., equipment issues, differing platforms, low sample sizes, size of the study area relative to sampling effort) required us to make a number of assumptions to generate estimates, it establishes a useful lower bound for abundance, and suggests high spring polar bear densities on sea ice in Russian waters south of Wrangell Island. With future improvements, we suggest that springtime aerial surveys may represent a plausible avenue for studying abundance and distribution of polar bears and their prey over large, remote areas.},
    number = {5},
}
@article{Minghini2022,
	doi = {10.3390/data7040039},
	year = 2022,
	month = {mar},
	publisher = {{MDPI} {AG}},
	volume = {7},
	number = {4},
	pages = {39},
	author = {Marco Minghini and Alessandro Sarretta and Maurizio Napolitano},
	title = {{OpenStreetMap} Contribution to Local Data Ecosystems in {COVID}-19 Times: Experiences and Reflections from the Italian Case},
	journal = {Data}
}
@misc{osisaf-drift-lr,
   title = {{Global Low Resolution Sea Ice Drift (OSI-405-c)}},
   author = {{OSI SAF}},
   publisher = {Norwegian Meteorological Institute},
   year = {2022},
   note = {Low resolution sea ice drift product of the EUMETSAT Ocean and Sea Ice Satellite Application Facility},
   url = {https://osi-saf.eumetsat.int/products/osi-405-c},
   urldate = {2022-05-11},
}
@article{Lavergne2010,
	doi = {10.1029/2009jc005958},
	year = 2010,
	month = {oct},
	publisher = {American Geophysical Union ({AGU})},
	volume = {115},
	number = {C10},
	author = {T. Lavergne and S. Eastwood and Z. Teffah and H. Schyberg and L.-A. Breivik},
	title = {Sea ice motion from low-resolution satellite sensors: {A}n alternative method and its validation in the {A}rctic},
	journal = {Journal of Geophysical Research: Oceans}
}
@misc{osisaf-iceconc,
  doi = {10.15770/EUM_SAF_OSI_NRT_2004},
  url = {https://navigator.eumetsat.int/product/EO:EUM:DAT:DMSP:OSI-401-B},
  author = {{OSI SAF}},
  keywords = {Ocean, Sea Ice},
  language = {en},
  title = {Global Sea Ice Concentration (netCDF) - DMSP (OSI-401-b)},
  publisher = {OSI SAF},
  year = {2017},
  copyright = {copyright}
}
@article{Lavergne2019-OSI-450,
	doi = {10.5194/tc-13-49-2019},
	year = 2019,
	month = {jan},
	publisher = {Copernicus {GmbH}},
	volume = {13},
	number = {1},
	pages = {49--78},
	author = {Thomas Lavergne and Atle Macdonald S{\o}rensen and Stefan Kern and Rasmus Tonboe and Dirk Notz and Signe Aaboe and Louisa Bell and Gorm Dybkj{\ae}r and Steinar Eastwood and Carolina Gabarro and Georg Heygster and Mari Anne Killie and Matilde Brandt Kreiner and John Lavelle and Roberto Saldo and Stein Sandven and Leif Toudal Pedersen},
	title = {Version 2 of the {EUMETSAT} {OSI} {SAF} and {ESA} {CCI} sea-ice concentration climate data records},
	journal = {The Cryosphere}
}
@article{Laidre2022_telemetry_21st,
	doi = {10.3389/fmars.2022.816666},
	year = 2022,
	month = {apr},
	publisher = {Frontiers Media {SA}},
	volume = {9},
	author = {Kristin L. Laidre and George M. Durner and Nicholas J. Lunn and Eric V. Regehr and Todd C. Atwood and Karyn D. Rode and Jon Aars and Heli Routti and Wiig, Øystein and Markus Dyck and Evan S. Richardson and Stephen Atkinson and Stanislav Belikov and Ian Stirling},
	title = {The Role of Satellite Telemetry Data in 21st Century Conservation of Polar Bears (\emph{{U}rsus maritimus})},
	journal = {Frontiers in Marine Science}
}
@article{SternLaidre2016,
	doi = {10.5194/tc-10-2027-2016},
	year = 2016,
	month = {sep},
	publisher = {Copernicus {GmbH}},
	volume = {10},
	number = {5},
	pages = {2027--2041},
	author = {Harry L. Stern and Kristin L. Laidre},
	title = {Sea-ice indicators of polar bear habitat},
	journal = {The Cryosphere}
}
@article{Durner2017,
	doi = {10.1111/gcb.13746},
	year = 2017,
	month = {jun},
	publisher = {Wiley},
	volume = {23},
	number = {9},
	pages = {3460--3473},
	author = {George M. Durner and David C. Douglas and Shannon E. Albeke and John P. Whiteman and Steven C. Amstrup and Evan Richardson and Ryan R. Wilson and Merav Ben-David},
	title = {Increased {A}rctic sea ice drift alters adult female polar bear movements and energetics},
	journal = {Global Change Biology}
}
@article{Wilson2022,
	doi = {10.1186/s40462-022-00326-5},
	year = 2022,
	month = {may},
	publisher = {Springer Science and Business Media {LLC}},
	volume = {10},
	number = {1},
	author = {Ryan R. Wilson and Michelle St. Martin and Eric V. Regehr and Karyn D. Rode},
	title = {Intrapopulation differences in polar bear movement and step selection patterns},
	journal = {Movement Ecology}
}
@article{Laidre2013,
	doi = {10.1098/rspb.2012.2371},
	year = 2013,
	month = {feb},
	publisher = {The Royal Society},
	volume = {280},
	number = {1752},
	pages = {20122371},
	author = {Kristin L. Laidre and Erik W. Born and Eliezer Gurarie and Øystein Wiig and Rune Dietz and Harry Stern},
	title = {Females roam while males patrol: divergence in breeding season movements of pack-ice polar bears (\emph{{U}rsus maritimus})},
	journal = {Proceedings of the Royal Society B: Biological Sciences}
}
@article{Biddlecombe2020,
	doi = {10.1002/ece3.6233},
	year = 2020,
	month = {apr},
	publisher = {Wiley},
	volume = {10},
	number = {11},
	pages = {4791--4800},
	author = {Brooke A. Biddlecombe and Erin M. Bayne and Nicholas J. Lunn and David McGeachy and Andrew E. Derocher},
	title = {Comparing sea ice habitat fragmentation metrics using integrated step selection analysis},
	journal = {Ecology and Evolution}
}@article{Biddlecombe2021,
	doi = {10.3354/meps13684},
	year = 2021,
	month = {may},
	publisher = {Inter-Research Science Center},
	volume = {666},
	pages = {231--241},
	authorsrc = {BA Biddlecombe and EM Bayne and NJ Lunn and D McGeachy and AE Derocher},
	author = {Brooke A. Biddlecombe and  Erin M. Bayne and Nicholas J. Lunn and David McGeachy and Andrew E. Derocher},
	title = {Effects of sea ice fragmentation on polar bear migratory movement in {H}udson {B}ay},
	journal = {Marine Ecology Progress Series}
}
@article{Pagano2021_homerange,
	doi = {10.1002/ecs2.3768},
	year = 2021,
	month = {oct},
	publisher = {Wiley},
	volume = {12},
	number = {10},
	author = {Anthony M. Pagano and George M. Durner and Todd C. Atwood and David C. Douglas},
	title = {Effects of sea ice decline and summer land use on polar bear home range size in the {B}eaufort {S}ea},
	journal = {Ecosphere}
}
@article{Atwood2016_landuse,
	doi = {10.1371/journal.pone.0155932},
	year = 2016,
	month = {jun},
	publisher = {Public Library of Science ({PLoS})},
	volume = {11},
	number = {6},
	pages = {e0155932},
	author = {Todd C. Atwood and Elizabeth Peacock and Melissa A. McKinney and Kate Lillie and Ryan Wilson and David C. Douglas and Susanne Miller and Pat Terletzky},
	editor = {{Songhai Li}},
	title = {Rapid Environmental Change Drives Increased Land Use by an {A}rctic Marine Predator},
	journal = {{PLOS} {ONE}}
}
@article{Atwood2016-stressors,
	doi = {10.1002/ecs2.1370},
	year = 2016,
	month = {jun},
	publisher = {Wiley},
	volume = {7},
	number = {6},
	author = {Todd C. Atwood and Bruce G. Marcot and David C. Douglas and Steven C. Amstrup and Karyn D. Rode and George M. Durner and Jeffrey F. Bromaghin},
	title = {Forecasting the relative influence of environmental and anthropogenic stressors on polar bears},
	journal = {Ecosphere}
}
@article{McClintock2015,
	doi = {10.1111/2041-210x.12311},
	year = 2015,
	month = {dec},
	publisher = {Wiley},
	volume = {6},
	number = {3},
	pages = {266--277},
	author = {Brett T. McClintock and Joshua M. London and Michael F. Cameron and Peter L. Boveng},
	editor = {{Olivier Gimenez}},
	title = {Modelling animal movement using the {A}rgos satellite telemetry location error ellipse},
	journal = {Methods in Ecology and Evolution}
}
@article{Mauritzen2001,
	doi = {10.1139/z01-126},
	year = 2001,
	month = {sep},
	publisher = {Canadian Science Publishing},
	volume = {79},
	number = {9},
	pages = {1704--1713},
	author = {Mette Mauritzen and Andrew E Derocher and Øystein Wiig},
	title = {Space-use strategies of female polar bears in a dynamic sea ice habitat},
	journal = {Canadian Journal of Zoology}
}
@article{Mauritzen2003,
	doi = {10.1034/j.1600-0706.2003.12056.x},
	year = 2003,
	month = {jan},
	publisher = {Wiley},
	volume = {100},
	number = {1},
	pages = {112--124},
	author = {Mette Mauritzen and Stanislav E. Belikov and Andrei N. Boltunov and Andrew E. Derocher and Edmond Hansen and Rolf A. Ims and Øystein Wiig and Nigel Yoccoz},
	title = {Functional responses in polar bear habitat selection},
	journal = {Oikos}
}
@article{Liston2016,
	doi = {10.1016/j.ecolmodel.2015.09.010},
	year = 2016,
	month = {jan},
	publisher = {Elsevier {BV}},
	volume = {320},
	pages = {114--134},
	author = {Glen E. Liston and Craig J. Perham and Richard T. Shideler and April N. Cheuvront},
	title = {Modeling snowdrift habitat for polar bear dens},
	journal = {Ecological Modelling}
}
@article{Klappstein2020,
	doi = {10.3354/meps13293},
	year = 2020,
	month = {may},
	publisher = {Inter-Research Science Center},
	volume = {641},
	pages = {227--240},
	author = {Natasha J. Klappstein and Ron R. Togunov and Jody R. Reimer and Nicholas J. Lunn and Andrew E. Derocher},
	title = {Patterns of sea ice drift and polar bear (\emph{{U}rsus maritimus}) movement in {H}udson {B}ay},
	journal = {Marine Ecology Progress Series}
}
@article{Laidre2015-HabitatShift,
	doi = {10.1007/s00300-015-1648-5},
	year = 2015,
	month = {feb},
	publisher = {Springer Science and Business Media {LLC}},
	volume = {38},
	number = {6},
	pages = {879--893},
	author = {Kristin L. Laidre and Erik W. Born and Patrick Heagerty and Øystein Wiig and Harry Stern and Rune Dietz and Jon Aars and Magnus Andersen},
	title = {Shifts in female polar bear (\emph{{U}rsus maritimus}) habitat use in {E}ast {G}reenland},
	journal = {Polar Biology}
}
@article{Johnson2020,
	doi = {10.1007/s00300-020-02705-3},
	year = 2020,
	month = {jul},
	publisher = {Springer Science and Business Media {LLC}},
	volume = {43},
	number = {9},
	pages = {1247--1260},
	author = {Amy C. Johnson and Andrew E. Derocher},
	title = {Variation in habitat use of {B}eaufort {S}ea polar bears},
	journal = {Polar Biology}
}
@article{Ware2017,
	doi = {10.1007/s00442-017-3839-y},
	year = 2017,
	month = {feb},
	publisher = {Springer Science and Business Media {LLC}},
	volume = {184},
	number = {1},
	pages = {87--99},
	author = {Jasmine V. Ware and Karyn D. Rode and Jeffrey F. Bromaghin and David C. Douglas and Ryan R. Wilson and Eric V. Regehr and Steven C. Amstrup and George M. Durner and Anthony M. Pagano and Jay Olson and Charles T. Robbins and Heiko T. Jansen},
	title = {Habitat degradation affects the summer activity of polar bears},
	journal = {Oecologia}
}
@article{Blanchet2020,
	doi = {10.3354/meps13290},
	year = 2020,
	month = {apr},
	publisher = {Inter-Research Science Center},
	volume = {639},
	pages = {1--19},
	author = {MA Blanchet and J Aars and M Andersen and H Routti},
	title = {Space-use strategy affects energy requirements in {B}arents {S}ea polar bears},
	journal = {Marine Ecology Progress Series}
}
@article{TMB,
	doi = {10.3354/meps12019},
	year = 2017,
	month = {feb},
	publisher = {Inter-Research Science Center},
	volume = {565},
	pages = {237--249},
	author = {Marie Auger-Méthé and Christoffer M. Albertsen and Ian D. Jonsen and Andrew E. Derocher and Damian C. Lidgard and Katharine R. Studholme and W. Don Bowen and  Glenn T. Crossin and Joanna Mills Flemming},
	title = {Spatiotemporal modelling of marine movement data using Template Model Builder ({TMB})},
	journal = {Marine Ecology Progress Series}
}
@article{Auger2015,
	doi = {10.1111/ecog.01260},
	year = 2015,
	month = {may},
	publisher = {Wiley},
	volume = {39},
	number = {1},
	pages = {26--35},
	author = {Marie Auger-Méthé and Mark A. Lewis and Andrew E. Derocher},
	title = {Home ranges in moving habitats: polar bears and sea ice},
	journal = {Ecography}
}
@article{Scharf2017,
	doi = {10.1007/s13253-017-0294-5},
	year = 2017,
	month = {jul},
	publisher = {Springer Science and Business Media {LLC}},
	volume = {22},
	number = {3},
	pages = {335--352},
	author = {Henry Scharf and Mevin B. Hooten and Devin S. Johnson},
	title = {Imputation Approaches for Animal Movement Modeling},
	journal = {Journal of Agricultural, Biological and Environmental Statistics}
}
@article{Rode2018-denPhenology,
	doi = {10.1093/jmammal/gyx181},
	year = 2018,
	month = {jan},
	publisher = {Oxford University Press ({OUP})},
	volume = {99},
	number = {1},
	pages = {16--26},
	author = {Karyn D Rode and Jay Olson and Dennis Eggett and David C Douglas and George M Durner and Todd C Atwood and Eric V Regehr and Ryan R Wilson and Tom Smith and Michelle St. Martin},
	title = {Den phenology and reproductive success of polar bears in a changing climate},
	journal = {Journal of Mammalogy}
}
@misc{Rode2018-data,
  doi = {10.5066/F7DF6PC9},
  url = {https://alaska.usgs.gov/products/data.php?dataid=181},
  author_default = {Rode, Karyn D. and {USGS Alaska Science Center, Polar Bear Research Program}},
  author = {{USGS Alaska Science Center, Polar Bear Research Program}},
  keywords = {Alaska, polar bear; Ursus maritimus; denning phenology; southern Beaufort; Chukchi Sea, behavior, denning, vertebrates, mammals},
  title = {{Denning Phenology, Den Substrate, and Reproductive Success of Female Polar Bears (\emph{Ursus maritimus}) in the southern Beaufort Sea 1986-2013 and the Chukchi Sea 1987-1994}},
  publisher = {U.S. Geological Survey},
  year = {2018},
  note = {(ver. 1.1, July 2021)},
  urldate = {2022-05-29},
}
@article{Escajeda2017,
	doi = {10.1007/s00300-017-2172-6},
	year = 2017,
	month = {jul},
	publisher = {Springer Science and Business Media {LLC}},
	volume = {41},
	number = {1},
	pages = {87--100},
	author = {Erica Escajeda and Kristin L. Laidre and Erik W. Born and Øystein Wiig and Stephen Atkinson and Markus Dyck and Steven H. Ferguson and Nicholas J. Lunn},
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@misc{ETOPO,
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   title = {Генетическая структура популяции белого медведя (\emph{{U}rsus maritimus}) в морях российской {А}рктики},
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@book{Rosneft-Marmam,
   title = {Морские млекопитающие},
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@book{Rosneft-Bird,
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   year = {2017},
   isbn = {978-5-9908796-4-5},
   type = {Методические рекомендации по наблюдению за морскими млекопитающими и птицами и инструкции по минимизации негативного воздействия хозяйственной деятельности при проведении геологоразведочных работ в арктических морях Российской Федерации},
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   year = {2017},
}
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   type = {Краткий (бортовой) отчёт о проделанной работе в ходе рейса №2-2023 АПУ},
}
@misc{nsidc-news-20231102,
	author = {{NSIDC}},
	title = {The long {A}rctic winter sets in},
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	year = {2023},
	month = {11},
	day = {02},
	url = {https://nsidc.org/arcticseaicenews/2023/11/the-long-arctic-winter-sets-in},
	urldate = {2023-12-04}
}
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@report{Kulpin2020,
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   type = {Отчёт о выполнении НИР по теме «Изучение состояния карско-баренцевоморской популяции белого медведя в районах Земли Франца-Иосифа и Ямало-Ненецкого автономного округа в зоне ответственности ПАО «НК «Роснефть» по дополнительному соглашению №1 к Договору № 5/0719 от 15.07.2019, Москва, 26 марта 2020 г.},
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}
@article{Ludwig2020,
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}
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@misc{rp5,
   title = {rp5 -- сайт прогноза и архива погоды},
   author = {{"Расписание Погоды"}},
   annote = {ru},
   publisher = {{OOO "Расписание Погоды"}},
   location = {Санкт-Петербург, Россия},
   url = {https://rp5.ru},
   year = {2024},
   urldate = {2024-03-23},
}
@misc{rp5-20674,
   title = {Архив погоды в {Д}иксоне},
   annote = {ru},
   publisher = {{OOO "Расписание Погоды"}},
   location = {Санкт-Петербург, Россия},
   url = {https://rp5.ru/archive.php?wmo_id=20674&lang=ru},
   year = {2024},
   urldate = {2024-03-23},
}
@misc{rp5-20471,
   title = {Архив погоды на о. {Т}ройной},
   annote = {ru},
   publisher = {{OOO "Расписание Погоды"}},
   location = {Санкт-Петербург, Россия},
   url = {https://rp5.ru/archive.php?wmo_id=20471&lang=ru},
   year = {2024},
   urldate = {2024-03-23},
}
@misc{rp5-20476,
   title = {Архив погоды на мысе {С}терлегова},
   annote = {ru},
   publisher = {{OOO "Расписание Погоды"}},
   location = {Санкт-Петербург, Россия},
   url = {https://rp5.ru/archive.php?wmo_id=20476&lang=ru},
   year = {2024},
   urldate = {2024-03-23},
}
@misc{rp5-20667,
   title = {Архив погоды на метеостанции им. {М.В.Попова}},
   annote = {ru},
   publisher = {{OOO "Расписание Погоды"}},
   location = {Санкт-Петербург, Россия},
   url = {https://rp5.ru/archive.php?wmo_id=20667&lang=ru},
   year = {2024},
   urldate = {2024-03-23},
}
@misc{rp5-20871,
   title = {Архив погоды в {С}опочной {К}арге},
   annote = {ru},
   publisher = {{OOO "Расписание Погоды"}},
   location = {Санкт-Петербург, Россия},
   url = {https://rp5.ru/archive.php?wmo_id=20871&lang=ru},
   year = {2024},
   urldate = {2024-03-23},
}
@article{Naidenko2023_en,
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   ISSN={1608-3059},
   DOI={10.1134/s106235902309025x},
   number={9},
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   publisher={Pleiades Publishing Ltd},
   author={Naidenko, S. V. and Klyuchnikova, P. S. and Ivanov, E. A. and Mordvintsev, I. N. and Platonov, N. G. and Isachenko, A. I. and Lazareva, R. E. and Rozhnov, V. V.},
   year={2023},
   month=dec,
   pages={2454–2459},
}
@InBook{ChukchiRedBook2022-en,
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@article{James2024,
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}
@misc{CBD2022,
   author = {{Convention on Biological Diversity}},
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   month = {Dec},
   day = {19},
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   urldate = {2024-06-04},
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@article{Wilder2022,
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   year={2022},
   month=dec
}
@Book{letopis2022,
   annote = {ru},
   shorttitle = {Летопись природы},
   title = {Научные исследования в заповедниках и национальных парках {Р}оссийской {Ф}едерации (2015-2021 гг.)},
   editor = {Д. М. Очагов},
   volume = {5},
   note = {Министерство природных ресурсов и экологии Российской Федерации; Всероссийский научно-исследовательский институт охраны окружающей среды «ВНИИ Экология»},
   pagetotal = {504},
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   publisher = {Бизнес-Информ},
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}
@inBook{Gladysheva2022,
   annote = {ru},
   crossref = {letopis2022},
   title = {Исследование состояния популяции белого медведя на охраняемых территориях {ФГБУ ГПЗ «Усть-Ленский»} и прилегающих акваториях},
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   urldate = {2024-06-06},
}
@inBook{Gladysheva2022en,
   annote = {ru},
   editor = {D. M. Ochagov},
   booktitle = {Scientific research in nature reserves and national parks of the {R}ussian {F}ederation (2015-2021)},
   volume = {5},
   note = {Ministry of Natural Resources and Ecology of the Russian Federation; All-Russian Research Institute of Environmental Protection “VNII Ecology”.},
   pagetotal = {504},
   isbn = {978-5-6048619-7-4},
   publisher = {Buisness-Inform},
   location = {Simpheropol},
   year = {2022},
   title = {Study of the polar bear population status in the protected areas of the federal reserve {"Ust-Lensky"} and adjacent water areas},
   author = {M. Yu. Gladysheva},
   pages = {262},
   url = {https://www.elibrary.ru/item.asp?id=49962917},
   urldate = {2024-06-06},
   note = {[In Russian]},
}
@book{MMH2023en,
   author = {{Marine Mammal Council}},
   title = {Marine Mammals of the {H}olarctic},
   note = {Collection of Scientific Papers after the XI\textsuperscript{th} International Conference, 01-05 March 2023 (online)},
   editor = {Burkanov , V. N. and Glazov, D. M. and Kryukova, N. V. and Belikov, S. E. and Slavina, M. D.},
   institution = {RPO “Marine Mammal Council”},
   year = {2023},
   doi = {10.35267/978-5-9904294-8-2-2023},
   isbn = {978-5-9904294-8-2},
   pagetotal = {504},
   location = {Moscow},
}
@InBook{Gladysheva2023,
   crossref = {MMH2023en},
   title={Polar Bears (\emph{{U}rsus maritimus}) in {U}st-{L}ensky State Nature Reserve, adjacent territories and waters},
   DOI={10.35267/978-5-9904294-8-2-2023-89-93},
   author={Gladysheva, M.Yu.},
}
@article{Vechersky2023,
   title={Anthropogenic Neighborhood Impact on Bacterial and Fungal Communities in Polar Bear Feces},
   volume={13},
   ISSN={2076-2615},
   DOI={10.3390/ani13132067},
   number={13},
   journal={Animals},
   publisher={MDPI AG},
   author={Vecherskii, Maksim V. and Kuznetsova, Tatiana A. and Khayrullin, David R. and Stepankov, Aleksandr A. and Artemieva, Svetlana M. and Chukmasov, Pavel V. and Ivanov, Evgeny A. and Mizin, Ivan A. and Mordvintsev, Ilya N. and Platonov, Nikita G. and Pashali, Aleksandr A. and Isachenko, Artem I. and Lazareva, Renata E. and Shestakova, Ksenia M. and Rozhnov, Viatcheslav V.},
   year={2023},
   month=jun,
   pages={2067},
}
@article{Sorokin2023en,
   title={Population Genetic Structure in Polar Bears (\emph{{U}rsus maritimus}) from the {R}ussian {A}rctic Seas},
   volume={59},
   ISSN={1608-3369},
   DOI={10.1134/s1022795423120128},
   number={12},
   journal={Russian Journal of Genetics},
   publisher={Pleiades Publishing Ltd},
   author={Sorokin, P. A. and Zvychaynaya, E. Yu. and Ivanov, E. A. and Mizin, I. A. and Mordvintsev, I. N. and Platonov, N. G. and Isachenko, A. I. and Lazareva, R. E. and Rozhnov, V. V.},
   year={2023},
   month=dec,
   pages={1320–1332},
}
@article{Belikov-denWrangel,
   author = {Melikhova, E.V. and Belikov, S.E. and Gnedenko, A.E. and Chernyshova, D.A.},
   year = {2022},
   title = {Modeling of areas potentially suitable for the arrangement of dens by breeding female polar bears on {W}rangel {I}sland and the coast of {C}hukotka},
   journal = {Scientific and practical journal “Environmental protection and Conservation"},
   institution = {Federal State Budgetary Research Institute "VNII Ecology"},
   number = {1},
   pages = {22-35},
   note = {[In Russian]},
}
@article{Belikov-denFJL,
   author = {Gnedenko, A.E. and Belikov, S.E. and Belyavsky, D.S.},
   year = {2022},
   title = {Modeling of habitats potentially suitable for the arrangement of dens by breeding female polar bears in the {F}ranz {J}osef {L}and archipelago},
   journal = {Scientific and practical journal “Environmental protection and Conservation"},
   institution = {Federal State Budgetary Research Institute "VNII Ecology"},
   number = {3},
   pages = {25-32},
   note = {[In Russian]},
}
@article{Belikov-denSevZemplya,
   author = {Belikov, S.E. and Gnedenko, A.E. and Plotnitskaya, D.A.},
   year = {2023},
   title = {Modeling and mapping of potentially suitable habitats for breeding female polar bears in the {S}evernaya {Z}emlya archipelago},
   journal = {Scientific and practical journal “Environmental protection and Conservation"},
   institution = {Federal State Budgetary Research Institute "VNII Ecology"},
   volume = 4,
   number = 3,
   pages = {5-12},
   note = {[In Russian]},
}
@article{Belikov-laptev,
   author = {Belikov, S.E. and Gnedenko, A.E. and Melikhova, E.V.},
   year = 2021,
   title = {An ecosystem approach to monitoring marine mammals in the {L}aptev {S}ea},
   journal = {Scientific and practical journal "Environmental protection and Conservation"},
   institution = {Federal State Budgetary Research Institute "VNII Ecology"},
   volume = 2,
   number = 1,
   pages = {17-26},
   note = {[In Russian]},
}
@article{Belikov-FJL,
   author = {Belikov, S.E. and Mizin, I.A. and Chernyshova, D.A.},
   year = {2021},
   title = {Marine mammals in the {N}ational {P}ark "{R}ussian {A}rctic},
   journal = {Scientific and practical journal “Environmental protection and Conservation"},
   institution = {Federal State Budgetary Research Institute "VNII Ecology"},
   number = 3,
   volume = 4,
   pages = {16-39},
   note = {[In Russian]},
}
@InBook{Belikov-transarctic2019,
   crossref = {MMH2023en},
   author = {Tyuryakov, A.B. and Belikov, S.E. and Gnedenko, A.E.},
   title = {Observations of marine mammals in the expedition {"Transarctica - 2019 1st stage"}},
   pages = {321-336},
   doi = {10.35267/978-5-9904294-8-2-2023-321-336},
}
@article{Belikov-denMetodology,
   author = {Belikov, S. E. and Gnedenko, A. E. and Melikhova, E. V. and Chernyshova, D. A.},
   year = {2022},
   title = {Methodology and methodological approaches to accounting for polar bear dens (\emph{{U}rsus maritimus}) on {W}rangel and {H}erald Islands},
   journal = {Scientific and practical journal “Environmental protection and Conservation"},
   institution = {Federal State Budgetary Research Institute "VNII Ecology"},
   number = {2},
   pages = {5-20},
   note = {[In Russian]},
}
@article{Belikov-climate,
   author = {Belikov, S. E. and Belyavsky, D. S. and Gnedenko, A. E. and Plotnitskaya, D. A. and Tyuryakov, A. B.},
   year = {2022},
   title = {Change in ice conditions in the seas of the {R}ussian {A}rctic under the influence of climate and the influence of this factor on marine mammal populations},
   journal = {Scientific and practical journal “Environmental protection and Conservation"},
   institution = {Federal State Budgetary Research Institute "VNII Ecology"},
   number = 4,
   pages = {37-51},
   note = {[In Russian]},
}
@inBook{Regehr2023,
   crossref = {MMH2023en},
   title={The results of the collaborative {A}merican-{R}ussian studies of polar bears (\emph{{U}rsus maritimus}) on {W}rangel {I}sland, {R}ussia during autumn 2016–2019},
   doi={10.35267/978-5-9904294-8-2-2023-247-252},
   author={Regehr, E.V. and Belikov, S.E. and Gruzdev, A.R. and Babiy, U.V. and Melikhova, E.V. and Gnedenko, A.E. and Wilson, R.R.},
}
@misc{lakeice0726,
     doi = {10.5067/HT4NQO7ZJF7M},
     author = {Du,  Jinyang and Kimball,  John and Duguay,  Claude},
     title = {{Daily Lake Ice Phenology Time Series Derived from AMSR-E and AMSR2}},
     version = {1},
     publisher = {{NASA National Snow and Ice Data Center Distributed Active Archive Center}},
     year = {2017},
     urldate = {2024-01-27},
}
@misc{ECMWF_SST,
  doi = {10.24381/CDS.CF608234},
  author = {Lopez, Angel},
  title = {Sea surface temperature daily data from 1981 to present derived from satellite observations},
  publisher = {ECMWF},
  year = {2019},
  urldate = {2024-10-24},
}
@misc{merra2ocn,
  doi = {10.5067/Y67YQ1L3ZZ4R},
  author = {{Global Modeling And Assimilation Office}},
  title = {MERRA-2 tavg1_2d_ocn_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Ocean Surface Diagnostics V5.12.4},
  publisher = {{NASA Goddard Earth Sciences Data and Information Services Center (GES DISC)}},
  location = {Greenbelt, MD, USA},
  year = {2015},
  note = {Maintained by Steven Pawson},
  urldate = {2024-10-23},
}