globals[population-capacity num-animals1 num-animals2 oldanimals1 oldanimals2] breed [animals1 animal1 ] breed [animals2 animal2 ] breed [predators predator] animals1-own [age] animals2-own [age] to setup ca create-animals1 10 ask animals1 [set color red set age random maxageanimals1] create-animals2 10 ask animals2 [set color blue set age random maxageanimals2] set population-capacity 100 create-predators predator-number [set color black] setup-plotting update-monitors update-plots end to setup-plotting set-current-plot "Organisms Over Time" set-plot-y-range 0 population-capacity end to go ask animals1[rt random 360 fd random 20 animals1-age animals1-reproduce animals1-die] ask animals2[rt random 360 fd random 20 animals2-age animals2-reproduce animals2-die] ask predators[set color black rt random 360 fd random 5] tick update-monitors update-plots end to predation ask animals1[rt random 360 fd random 2 animals1-age animals1-reproduce animals1-die] ask animals2[rt random 360 fd random 2 animals2-age animals2-reproduce animals2-die] ask predators[set color white rt random 360 fd random 5] ask animals1 [while [any? predators in-radius 2 and age > avoidpredatorage] [set heading random 360 fd 2]] ask animals2 [while [any? predators in-radius 2 and age > avoidpredatorage] [set heading random 360 fd 2]] ask predators [if any? animals1-here [ask animals1-here [die]]] ask predators [if any? animals2-here [ask animals2-here [die]]] ask animals1 [if age > (maxageanimals1 * 0.5) [set color red + 1]] ask animals1 [if age < (maxageanimals1 * 0.5) [set color red - 1]] ask animals2 [if age > (maxageanimals2 * 0.5) [set color blue + 1]] ask animals2 [if age < (maxageanimals2 * 0.5) [set color blue - 1]] tick update-monitors update-plots end to animals1-age set age (age + 1) end to animals2-age set age (age + 1) end to animals1-reproduce if (random 5) = 0 [hatch 1 set age random maxageanimals1] end to animals2-reproduce if (random 5) = 0 [hatch 1 set age random maxageanimals2] end to animals1-die if random 1000 < count animals1 [die] if age > (maxageanimals1 * 0.95) [die] end to animals2-die if random 1000 < count animals2 [die] if age > (maxageanimals2 * 0.95) [die] end to update-monitors set num-animals1 (count animals1) set num-animals2 (count animals2) set oldanimals1 (count animals1 with [age > 7]) set oldanimals2 (count animals2 with [age > 7]) end to update-plots set-current-plot-pen "Animals1" plot num-animals1 set-current-plot-pen "Animals2" plot num-animals2 end @#$#@#$#@ GRAPHICS-WINDOW 280 26 719 486 16 16 13.0 1 10 1 1 1 0 1 1 1 -16 16 -16 16 0 0 1 ticks CC-WINDOW 5 500 728 595 Command Center 0 BUTTON 7 10 70 43 NIL setup NIL 1 T OBSERVER NIL NIL NIL NIL BUTTON 8 81 71 114 NIL go T 1 T OBSERVER NIL NIL NIL NIL PLOT 6 202 211 382 Organisms Over Time Time Number of organisms 0.0 200.0 0.0 10.0 true true PENS "Animals1" 1.0 0 -2674135 true "Animals2" 1.0 0 -13345367 true MONITOR 13 393 101 438 NIL num-animals1 17 1 11 MONITOR 112 393 200 438 NIL num-animals2 17 1 11 BUTTON 177 81 262 114 NIL predation T 1 T OBSERVER NIL NIL NIL NIL SLIDER 137 155 273 188 predator-number predator-number 20 50 30 1 1 NIL HORIZONTAL BUTTON 7 44 70 77 NIL go NIL 1 T OBSERVER NIL NIL NIL NIL MONITOR 16 440 93 485 NIL oldanimals1 17 1 11 MONITOR 113 440 190 485 NIL oldanimals2 17 1 11 BUTTON 178 44 263 77 NIL predation NIL 1 T OBSERVER NIL NIL NIL NIL SLIDER 1 119 135 152 maxageanimals1 maxageanimals1 30 80 80 1 1 NIL HORIZONTAL SLIDER 2 155 134 188 maxageanimals2 maxageanimals2 30 80 80 1 1 NIL HORIZONTAL SLIDER 137 120 272 153 avoidpredatorage avoidpredatorage 10 50 27 1 1 NIL HORIZONTAL @#$#@#$#@ WHAT IS IT? ----------- This model demonstrates how if an organism or population of organisms posses a trait that confers an advantage in a given environment their fitness in that environment will greater. This shows evolution of organisms that are best adapted to environment--environmental selection. HOW IT WORKS ------------ The SETUP button creates two different populations of animals: animals1 and animals2. These two populations differ only in the their life span. The MAXAGEANIMALS1 and MAXAGEANIMALS2 allows you to chose the life span of animals1 and animals2 respectively. The AVOIDPREDATORSAGE allows you to choose the age at which the two different populations learn to avoid predators. While you can only choose one variable for both populations, since they have different life spans they differ in the stage in their life during which they learn to avoid predators. The PREDATOR-NUMBER button allows you to create a certain number of predators. The PREDATION button introduces predators into the model which kill the organism when they land on the same patch as that organism. The plot of Organisms Over Time shows the number of animals1 and animals2 in the population. The monitors show the number of animals in the population that are above the AVOIDPREDATORSAGE age. This is also shown by the color of the animals. Darker animals are older than the learning-to-avoid-predator age and lighter animals are younger than the AVOIDPREDATORSAGE age. HOW TO USE IT ------------- Set the MAXAGEANIMALS1, MAXAGEANIMALS2, and PREDATOR-NUMBER sliders. Then press the SETUP and GO button to create the two different populations of animals. Next press the PREDATION button to introduce predators and observe what effect this has to the two different populations of organisms. THINGS TO NOTICE ---------------- Notice that the selective pressure--predators, gives organisms that learn to avoid at a younger stage in their life an advantage. So as the model runs you should notice the number of older animals getting steadily larger. Also change the life spans, stage at which the different populations learn to avoid predators, and observe the effect this has on their relative fitness in the environment. THINGS TO TRY ------------- Try various life spans for the two different populations of organisms and see what effect setting the AVOIDPREDATORSAGE age very high or low has on the difference in number of organisms in each population when pressing the PREDATION button. Also how does the environment, number of predators, have an affect on the success of the two populations of organisms? Does a more dangerous environment enhance the fitness of one population of organisms to the other? EXTENDING THE MODEL ------------------- One way to extend this model is would be to keep the life spans of the two organisms the same but have the different organisms learn to avoid predators either early in their life or late in their life. CREDITS AND REFERENCES ---------------------- Thanks to Professor Grobstein and students in the Emergence class. @#$#@#$#@ default true 0 Polygon -7500403 true true 150 5 40 250 150 205 260 250 airplane true 0 Polygon -7500403 true true 150 0 135 15 120 60 120 105 15 165 15 195 120 180 135 240 105 270 120 285 150 270 180 285 210 270 165 240 180 180 285 195 285 165 180 105 180 60 165 15 arrow true 0 Polygon -7500403 true true 150 0 0 150 105 150 105 293 195 293 195 150 300 150 box false 0 Polygon -7500403 true true 150 285 285 225 285 75 150 135 Polygon -7500403 true true 150 135 15 75 150 15 285 75 Polygon -7500403 true true 15 75 15 225 150 285 150 135 Line -16777216 false 150 285 150 135 Line -16777216 false 150 135 15 75 Line -16777216 false 150 135 285 75 bug true 0 Circle -7500403 true true 96 182 108 Circle -7500403 true true 110 127 80 Circle -7500403 true true 110 75 80 Line -7500403 true 150 100 80 30 Line -7500403 true 150 100 220 30 butterfly true 0 Polygon -7500403 true 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