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2.4_BunniesLogisticModel.nlogo
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2.4_BunniesLogisticModel.nlogo
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breed [bunnies bunny]
globals [last-count]
Bunnies-own [old]
to setup
ca
let one-patch (patch-set patch 0 0)
ask one-patch [sprout-bunnies initial-population [set old false set shape "bunny2" set color white set size 4 disperse]]
end
to reproduce
if (count bunnies) > 0
[
ask bunnies [ set old true ]
set last-count count bunnies
ask one-of bunnies [ hatch-bunnies how-many-to-hatch [ disperse ] ] ;Ok, Not too realistic to have one bunny do all the reproductive work ... but easier to code.
ask bunnies with [old] [die]
do-plotting
]
end
to-report how-many-to-hatch
let pop (count bunnies)
let new-pop (birthrate - deathrate) * (pop - ((pop * pop) / carrying-capacity))
report round new-pop
end
to disperse
set size size * .98 set heading random 360
let new-x random max-pxcor
let new-y random max-pycor
let x-sign random 2
let y-sign random 2
ifelse (x-sign = 0) [set xcor 0 - new-x] [set xcor new-x]
ifelse (y-sign = 0) [set ycor 0 - new-y] [set ycor new-y]
set old false
end
to do-plotting
set-current-plot "Population vs. Time"
plot count bunnies
set-current-plot "This year's pop. vs. last year's pop."
plotxy last-count count bunnies
end
@#$#@#$#@
GRAPHICS-WINDOW
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ticks
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TEXTBOX
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Logistic Model
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BUTTON
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Reproduce
reproduce
NIL
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T
OBSERVER
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NIL
NIL
NIL
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BUTTON
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Setup
setup\n
NIL
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T
OBSERVER
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NIL
NIL
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MONITOR
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NIL
count bunnies
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PLOT
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Population vs. Time
Time
Population
0.0
10.0
0.0
10.0
true
false
"" ""
PENS
"" 1.0 0 -16777216 true "" "plot count turtles"
SLIDER
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256
186
289
birthrate
birthrate
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5.0
2.5
0.1
1
NIL
HORIZONTAL
PLOT
737
181
1096
341
This year's pop. vs. last year's pop.
Last year's pop.
This year's pop.
0.0
10.0
0.0
10.0
true
false
"" ""
PENS
"pen-0" 1.0 0 -7500403 true "" "plotxy last-count count bunnies"
SLIDER
14
344
188
377
carrying-capacity
carrying-capacity
0
100
50.0
1
1
NIL
HORIZONTAL
SLIDER
14
215
186
248
initial-population
initial-population
0
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20.0
1
1
NIL
HORIZONTAL
TEXTBOX
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376
105
n = (birthrate - deathrate) * (n - (n / k)),\n\nwhere k is the carrying capacity.
10
0.0
1
TEXTBOX
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50
34
68
t+1
8
0.0
1
TEXTBOX
173
52
188
70
t
8
0.0
1
TEXTBOX
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51
214
69
t
8
0.0
1
TEXTBOX
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42
212
60
2
8
0.0
1
SLIDER
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186
331
deathrate
deathrate
0
5.0
0.0
0.1
1
NIL
HORIZONTAL
@#$#@#$#@
## WHAT IS IT?
This model illustrates population growth using the logistic model.
## HOW IT WORKS
The model counts the number of rabbits at the end of each generation and then produces the correct number the following generation. To keep the math simple, there is no over-lapping of generations–that is, all the rabbits from one year replace themselves with offspring (according to the growth rate seting) and then perish.
## HOW TO USE IT
To use the model, press “setup” and then “reproduce”. Each time you press “reproduce” a generation of rabbits will be born.
## CREDITS AND REFERENCES
This model is part of the Dynamics series of the Complexity Explorer project.
Main Author: John Balwit
Contributions from: Melanie Mitchell
Netlogo: Wilensky, U. (1999). NetLogo. http://ccl.northwestern.edu/netlogo/. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL.
## HOW TO CITE
If you use this model, please cite it as: "Logistic Population Growth" model, Complexity Explorer project, http://complexityexplorer.org
## COPYRIGHT AND LICENSE
Copyright 2013 Santa Fe Institute.
This model is licensed by the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License ( http://creativecommons.org/licenses/by-nc-nd/3.0/ ). This states that you may copy, distribute, and transmit the work under the condition that you give attribution to ComplexityExplorer.org, and your use is for non-commercial purposes.
@#$#@#$#@
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@#$#@#$#@
NetLogo 6.3.0
@#$#@#$#@
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@#$#@#$#@
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@#$#@#$#@