emersonjr25_PlasticityOnResilience-Master-Project/Netlogo modeling and simulation/Normal World.nlogo
globals [ patch-data ] ; put and pull archive impact
breed [ sheepone a-sheepone ] ; sheep is its own plural, so we use "a-sheep" as the singular.
;breed [ sheeptwo a-sheeptwo ] ; especie 2 de ovelha
breed [ sheepthree a-sheepthree ] ; especie 3 de ovelha
breed [ sheepfour a-sheepfour ] ; especie 4 de ovelha
breed [ wolvesone wolfone ] ; especie 1 de lobo
breed [ wolvestwo wolftwo ] ; especie 2 de lobo
;breed [ wolvesthree wolfthree ]; especie 3 de lobo
breed [ wolvesfour wolffour ] ; especie 4 de lobo
turtles-own [ energy trophic-level age ] ; both wolves and sheep have energy, trophic-level and age
patches-own [ countdown cell-impacted ] ; contagem regressiva para nascimento das gramíneas

to setup ; configuração inicial do sistema
  clear-all
  random-seed replicate-number ;;; sets the seed to differentiate replicate and allow replicability
  ; nascimento das gramíneas
    ask patches [
    set cell-impacted 0
    set pcolor one-of [ green gray violet sky ]
     if pcolor != brown
       [ set countdown grass-regrowth-time ]
    ]
  ask turtles [set age 0] ; initial age wolves and sheeps
  create-sheepone initial-number-sheep  ; create the first sheep, then initialize their variables
  [
    set shape "sheep"
    set color white
    set size 1.5  ; easier to see
    set energy random (2 * sheep-gain-from-food)
    setxy random-xcor random-ycor ; aparecem aleatoriamente
    set trophic-level "consumer"
  ]

;  create-sheeptwo initial-number-sheep
;  [
;    set shape "sheep"
;    set color red
;    set size 1.5  ; easier to see
;    set energy random (2 * sheep-gain-from-food)
;    setxy random-xcor random-ycor
;    set trophic-level "consumer"
;  ]
   create-sheepthree initial-number-sheep
  [
    set shape "sheep"
    set color blue
    set size 1.5  ; easier to see
    set energy random (2 * sheep-gain-from-food)
    setxy random-xcor random-ycor
    set trophic-level "consumer"
  ]
   create-sheepfour initial-number-sheep
  [
    set shape "sheep"
    set color orange
    set size 1.5  ; easier to see
    set energy random (2 * sheep-gain-from-food)
    setxy random-xcor random-ycor
    set trophic-level "consumer"
  ]
  create-wolvesone initial-number-wolves  ; create the first wolves, then initialize their variables
  [
    set shape "wolf"
    set color black
    set size 1.5  ; easier to see
    set energy random (2 * wolf-gain-from-food)
    setxy random-xcor random-ycor
    set trophic-level "predator"
  ]
   create-wolvestwo initial-number-wolves
  [
    set shape "wolf"
    set color pink
    set size 1.5  ; easier to see
    set energy random (2 * wolf-gain-from-food)
    setxy random-xcor random-ycor
    set trophic-level "predator"
  ]
;  create-wolvesthree initial-number-wolves
;  [
;    set shape "wolf"
;    set color magenta
;    set size 1.5  ; easier to see
;    set energy random (2 * wolf-gain-from-food)
;    setxy random-xcor random-ycor
;    set trophic-level "predator"
;  ]
  create-wolvesfour initial-number-wolves
  [
    set shape "wolf"
    set color yellow
    set size 1.5  ; easier to see
    set energy random (2 * wolf-gain-from-food)
    setxy random-xcor random-ycor
    set trophic-level "predator"
  ]
  reset-ticks
end

to go ; faz individuos se moveram e fazer as açoes criadas
  ; stop the simulation of no wolves or sheep
  if not any? turtles [ stop ]
  ask sheepone
  [
      move
     ; sheep eat grass, grass grows and it costs sheep energy to move
      set energy energy - ( 1 + cost-plasticity-sheep)
      if energy < 10 [
      eat-grass green 1
      ]
      death ; sheep die from starvation
      reproduce-sheep  ; sheep reproduce at random rate governed by slider
  ]
;  ask sheeptwo
;  [
;      move
;     ; sheep eat grass, grass grows and it costs sheep energy to move
;      set energy energy - ( 1 + cost-plasticity-sheep)
;      if energy < 10 [
;      eat-grass green 2
;      eat-grass gray  2
;      ]
;      death ; sheep die from starvation
;      reproduce-sheep  ; sheep reproduce at random rate governed by slider
;  ]
   ask sheepthree
  [
      move
     ; sheep eat grass, grass grows and it costs sheep energy to move
      set energy energy - ( 1 + cost-plasticity-sheep)
      if energy < 10 [
      eat-grass gray   3
      eat-grass violet 3
      eat-grass sky    3
      ]
      death ; sheep die from starvation
      reproduce-sheep  ; sheep reproduce at random rate governed by slider
  ]
   ask sheepfour
  [
      move
     ; sheep eat grass, grass grows and it costs sheep energy to move
      set energy energy - ( 1 + cost-plasticity-sheep)
      if energy < 10 [
      eat-grass green  4
      eat-grass gray   4
      eat-grass violet 4
      eat-grass sky    4
      ]
      death ; sheep die from starvation
      reproduce-sheep  ; sheep reproduce at random rate governed by slider
  ]
  ask wolvesone
  [
    move
    set energy energy - ( 1 + cost-plasticity-wolf); wolves lose energy as they move
    if energy < 10 [
    eat-sheep sheepfour  1
    ] ; wolves eat a sheep on their patch
    death ; wolves die if our of energy
    reproduce-wolves ; wolves reproduce at random rate governed by slider
  ]
   ask wolvestwo
  [
    move
    set energy energy - ( 1 + cost-plasticity-wolf)  ; wolves lose energy as they move
    if (energy < 10) AND (any?  other turtles-here with [shape = "sheep"])[

    let context [0] ;;always can move
    if any? sheepthree-here [ set context lput 3 context]
    if any? sheepfour-here  [ set context lput 4 context]
    set context remove 0 context
      ifelse(empty? context)[]
       [ let x one-of context
          if (x = 3)[eat-sheep sheepthree 2]
          if (x = 4)[eat-sheep sheepfour  2]
        ]
    ] ; wolves eat a sheep on their patch
    death ; wolves die if our of energy
    reproduce-wolves ; wolves reproduce at random rate governed by slider
  ]
;   ask wolvesthree
;  [
;    move
;    set energy energy - ( 1 + cost-plasticity-wolf) ; wolves lose energy as they move
;    if ( energy < 10) AND (any?  other turtles-here with [shape = "sheep"])[
;    let context [0] ;;always can move
;    if any? sheeptwo-here [ set context lput 2 context]
;    if any? sheepthree-here [ set context lput 3 context]
;    if any? sheepfour-here  [ set context lput 4 context]
;    set context remove 0 context
;      ifelse(empty? context)[]
;       [
;    let x one-of context
;    if (x = 2)[eat-sheep sheeptwo 3]
;    if (x = 3)[eat-sheep sheepthree 3]
;    if (x = 4)[eat-sheep sheepfour 3]
;      ]
;    ]; wolves eat a sheep on their patch
;    death ; wolves die if our of energy
;    reproduce-wolves ; wolves reproduce at random rate governed by slider
;  ]
   ask wolvesfour
  [
    move
    set energy energy - ( 1 + cost-plasticity-wolf)  ; wolves lose energy as they move
    if ( energy < 10) AND (any?  other turtles-here with [shape = "sheep"])[
    let context [0] ;;always can move
    if any? sheepone-here   [ set context lput 1 context]
    if any? sheepthree-here [ set context lput 3 context]
    if any? sheepfour-here  [ set context lput 4 context]
    set context remove 0 context
      ifelse(empty? context)[]
       [
    let x one-of context
    if (x = 1)[eat-sheep sheepone   4]
    if (x = 3)[eat-sheep sheepthree 4]
    if (x = 4)[eat-sheep sheepfour  4]
      ]
    ] ; wolves eat a sheep on their patch
    death ; wolves die if our of energy
    reproduce-wolves ; wolves reproduce at random rate governed by slider
  ]
  ask turtles [set age age + 1]
  ask patches [ grow-grass ]
  if ticks = 500 [ output ]
  if ticks = 501 [ impact ]
  if ticks = 999 [ output ]
  tick
end

to move  ; turtle procedure
  rt random 50
  lt random 50
  let x salto
  let alvo 0
  let dist 0
  ;fd 1 + x
  ifelse any? Patches in-radius salto with [pcolor = black]
  [
   set alvo one-of patches in-radius salto with [cell-impacted = 0]
   ifelse alvo != nobody [move-to alvo ] [fd 1 + x]
   ;set  x floor distance alvo ;;floor rounds down the number
  ]
  [fd 1 + x]
  set energy energy - (x / 10)
end

to eat-grass [grasstype number-of-foods] ; sheep procedure
  ; sheep eat grass, turn the patch brown
  if pcolor = grasstype
   [
    set pcolor brown
    set energy energy + (sheep-gain-from-food / number-of-foods) ; sheep gain energy by eating
    set countdown grass-regrowth-time
   ]
end

to eat-sheep [sheeptype number-of-foods]  ; wolf procedure
  let preyone one-of turtles-here with [breed = sheeptype]                     ; grab a random sheep
  if preyone != nobody                             ; did we get one?  if so,
  [
    ask preyone [ die ]                            ; kill it, and...
    set energy energy + (wolf-gain-from-food / number-of-foods )     ; get energy from eating
  ]
end

to reproduce-sheep  ; sheep procedure
 if energy > 10 [
  if random-float 100 < sheep-reproduce ; throw "dice" to see if you will reproduce
  [
    set energy energy - 10                ; divide energy between parent and offspring
    hatch 1 [
      set energy 5
      rt random-float 360
      fd 1
      set age 0
    ]   ; hatch an offspring and move it forward 1 step ;;
  ]
  ]
end

to reproduce-wolves  ; wolf procedure
  if energy > 10 [
  if random-float 100 < wolf-reproduce ; throw "dice" to see if you will reproduce
  [
    set energy energy - 10              ; divide energy between parent and offspring
    hatch 1 [
      set energy 5
      rt random-float 360
      fd 1
      set age 0
    ]  ; hatch an offspring and move it forward 1 step
  ]
  ]
end

to grow-grass  ; patch procedure
  ; countdown on brown patches: if reach 0, grow some grass
  if pcolor = brown
  [
    let neighbors-not-brown count neighbors with [pcolor != brown AND pcolor != black]
    ifelse (countdown <= 0) and neighbors-not-brown != 0
      [
        let greens count neighbors with [pcolor = green]
        let grays count neighbors with [pcolor = gray]
        let violets count neighbors with [pcolor  = violet]
        let skys count neighbors with [pcolor = sky]
        let percent-greens greens / neighbors-not-brown
        let percent-grays grays /  neighbors-not-brown
        let percent-violets violets /  neighbors-not-brown
        let percent-skys skys /  neighbors-not-brown

        let g1  0 + percent-greens
        let g2  g1 + percent-grays
        let g3  g2 + percent-violets
        let g4  g3 + percent-skys

        let x random-float 1
        if x <= g1 [set pcolor green
          set countdown grass-regrowth-time]
        if ( x > g1) AND (x <= g2)[set pcolor gray
          set countdown grass-regrowth-time]
        if ( x > g2) AND (x <= g3)[set pcolor violet
          set countdown grass-regrowth-time]
        if ( x > g3)[set pcolor sky
          set countdown grass-regrowth-time]
    ]
      [ set countdown countdown - 1 ]
  ]
end

to death  ; turtle procedure (i.e. both wolf nd sheep procedure)
  ; when energy dips below zero, die
  if energy < 0 [ die ]
  if age > max-age [die]
end

to-report grass
  report patches with [pcolor != brown] ; contagem de gramíneas
end

to-report plastic-jump
  let ps 0
   ifelse (trophic-level = "consumer")
    [set ps random-normal sheep-plasticity 0.2
  ]
    [set ps random-normal wolf-plasticity 0.2
  ]
  ifelse(ps <= 0)[report 0.1][report ps]
end

to-report salto
  let tamanho 0
  let not-food count neighbors with [pcolor = brown OR pcolor = black]
    if ((not-food >= 5) AND energy < 5) [
       set tamanho plastic-jump
  ]
  report tamanho
end

to impact

;LOAD-PATCH-DATA

  ;Model Version 1

  if model-version = "LowPerturbationLowfractality" [
  let rep replicate-number
  if replicate-number < 10 [set rep (word "00" replicate-number)]
  if (replicate-number >= 10) AND (replicate-number < 100) [set rep (word "0" rep)]
  if replicate-number >= 100 [ set rep rep ]
  let file (word "0.30_030_00" rep ".txt")
    let filename (word "C:/Users/emers/Dropbox/Coisas minhas/Mestrado e doutorado em Ecologia - UFBA/Projeto plasticidade/Perturbações/habitat_destruidof03p30/" file)
    ; let filename (word "C:/Users/vrios/Google Drive/projetos/nuevo/emerson/MestradoEmerson-master/Perturbacoes/habitat_destruidof03p30.txt" file)
    ; let filename (word "/Users/Nuevissimos/Documents/Emerson/MestradoEmerson-master/Perturbações/habitat_destruidof03p30.txt" file)
   ifelse ( file-exists? filename )
  [
    ; We are saving the data into a list, so it only needs to be loaded once.
   set patch-data []
    ; This opens the file, so we can use it.
   file-open filename
    ; Read in all the data in the file
    while [ not file-at-end? ]
    [
      ; file-read gives you variables.  In this case numbers.
      set patch-data sentence patch-data (list file-read)
    ]
    ; Done reading in patch information.  Close the file.
    file-close
  ]
  [ ]
  ]

  ;Model Version 2

  if model-version = "LowPerturbationHighfractality" [
  let rep replicate-number
  if replicate-number < 10 [set rep (word "00" replicate-number)]
  if (replicate-number >= 10) AND (replicate-number < 100) [set rep (word "0" rep)]
  if replicate-number >= 100 [ set rep rep ]
  let file (word "0.70_030_00" rep ".txt")
    let filename (word "C:/Users/emers/Dropbox/Coisas minhas/Mestrado e doutorado em Ecologia - UFBA/Projeto plasticidade/Perturbações/habitat_destruidof07p30/" file)
     ; let filename (word "C:/Users/vrios/Google Drive/projetos/nuevo/emerson/MestradoEmerson-master/Perturbacoes/habitat_destruidof07p30.txt" file)
     ; let filename (word "/Users/Nuevissimos/Documents/Emerson/MestradoEmerson-master/Perturbações/habitat_destruidof07p30.txt" file)
   ifelse ( file-exists? filename )
  [
    set patch-data []
   file-open filename
   while [ not file-at-end? ]
    [
      set patch-data sentence patch-data (list file-read)
    ]
    file-close
  ]
  [ ]
  ]

  ;Model Version 3

  if model-version = "HighPerturbationLowfractality" [
  let rep replicate-number
  if replicate-number < 10 [set rep (word "00" replicate-number)]
  if (replicate-number >= 10) AND (replicate-number < 100) [set rep (word "0" rep)]
  if replicate-number >= 100 [ set rep rep ]
  let file (word "0.30_075_00" rep ".txt")
  let filename (word "C:/Users/emers/Dropbox/Coisas minhas/Mestrado e doutorado em Ecologia - UFBA/Projeto plasticidade/Perturbações/habitat_destruidof03p75/" file)
   ; let filename (word "C:/Users/vrios/Google Drive/projetos/nuevo/emerson/MestradoEmerson-master/Perturbacoes/habitat_destruidof03p75.txt" file)
   ; let filename (word "/Users/Nuevissimos/Documents/Emerson/MestradoEmerson-master/Perturbações/habitat_destruidof03p75.txt" file)
   ifelse ( file-exists? filename )
  [
   set patch-data []
   file-open filename
   while [ not file-at-end? ]
    [
      set patch-data sentence patch-data (list file-read)
    ]
    file-close
  ]
  [ ]
  ]

  ;Model Version 4

  if model-version = "HighPerturbationHighfractality" [
  let rep replicate-number
  if replicate-number < 10 [set rep (word "00" replicate-number)]
  if (replicate-number >= 10) AND (replicate-number < 100) [set rep (word "0" rep)]
  if replicate-number >= 100 [ set rep rep ]
  let file (word "0.70_075_00" rep ".txt")
  let filename (word "C:/Users/emers/Dropbox/Coisas minhas/Mestrado e doutorado em Ecologia - UFBA/Projeto plasticidade/Perturbações/habitat_destruidof07p75/" file)
   ; let filename (word "C:/Users/vrios/Google Drive/projetos/nuevo/emerson/MestradoEmerson-master/Perturbacoes/habitat_destruidof07p75.txt" file)
   ; let filename (word "/Users/Nuevissimos/Documents/Emerson/MestradoEmerson-master/Perturbações/habitat_destruidof07p75.txt" file)
   ifelse ( file-exists? filename )
  [
    set patch-data []
    file-open filename
    while [ not file-at-end? ]
    [
      set patch-data sentence patch-data (list file-read)
    ]
    file-close
  ]
  [ ]
  ]

let linha 0 ;y
let coluna 0 ;x
 while[linha != (max-pycor + 1)]
    [
      while[coluna != (max-pxcor + 1)]
      [
        ask patch coluna linha [set cell-impacted item (linha + ((max-pycor + 1) * coluna) ) patch-data ]
        set coluna coluna + 1
      ]
      set coluna 0
      set linha linha + 1
    ]

 ; IMPACT

  ask patches with [cell-impacted = 1]
  [
    ask turtles-here [die]
    set pcolor black
    set countdown 100000
  ]
end

to output

  ; RELATIVE ABUNDANCE

  let abundance-turtles count turtles
  let abundance-patches count patches with [pcolor != black AND pcolor != brown]
  let abundance-total abundance-turtles + abundance-patches
  let abundance-relative-patchesgreen count patches with [ pcolor = green ] / abundance-total
  let abundance-relative-patchesviolet count patches with [ pcolor = violet ] / abundance-total
  let abundance-relative-patchesgray count patches with [ pcolor = gray ] / abundance-total
  let abundance-relative-patchessky count patches with [ pcolor = sky ] / abundance-total
  let abundance-relative-sheepone count sheepone / abundance-total
  let abundance-relative-sheepthree count sheepthree / abundance-total
  let abundance-relative-sheepfour count sheepfour / abundance-total
  let abundance-relative-wolvesone count wolvesone / abundance-total
  let abundance-relative-wolvestwo count wolvestwo / abundance-total
  let abundance-relative-wolvesfour count wolvesfour / abundance-total

  ; ABUNDANCE TOTAL

  let abundance-total-patchesgreen count patches with [ pcolor = green ]
  let abundance-total-patchesviolet count patches with [ pcolor = violet ]
  let abundance-total-patchesgray count patches with [ pcolor = gray ]
  let abundance-total-patchessky count patches with [ pcolor = sky ]
  let abundance-total-sheepone count sheepone
  let abundance-total-sheepthree count sheepthree
  let abundance-total-sheepfour count sheepfour
  let abundance-total-wolvesone count wolvesone
  let abundance-total-wolvestwo count wolvestwo
  let abundance-total-wolvesfour count wolvesfour

  ; RICHNESS

  let richness1 0
  ifelse any? sheepone [ set richness1 1][ set richness1 0]
  let richness3 0
  ifelse any? sheepthree [ set richness3 1] [ set richness3 0]
  let richness4 0
  ifelse any? sheepfour [ set richness4 1] [ set richness4 0]
  let richness5 0
  ifelse any? wolvesone [ set richness5 1] [ set richness5 0]
  let richness6 0
  ifelse any? wolvestwo [ set richness6 1] [ set richness6 0]
  let richness8 0
  ifelse any? wolvesfour [ set richness8 1] [ set richness8 0]
  let richness9 0
  ifelse any? patches with [pcolor = green] [ set richness9 1] [ set richness9 0]
  let richness10 0
  ifelse any? patches with [pcolor = violet] [ set richness10 1] [ set richness10 0]
  let richness11 0
  ifelse any? patches with [pcolor = gray] [ set richness11 1] [ set richness11 0]
  let richness12 0
  ifelse any? patches with [pcolor = sky] [ set richness12 1] [ set richness12 0]
  let richness richness1 + richness3 + richness4 + richness5 + richness6 + richness8 + richness9 + richness10 + richness11 + richness12

  ; Shannon

   let shannon 0
   if abundance-relative-patchesgreen   > 0 [ set shannon shannon + (abundance-relative-patchesgreen  * ln abundance-relative-patchesgreen )]
   if abundance-relative-patchesviolet  > 0 [ set shannon shannon + (abundance-relative-patchesviolet * ln abundance-relative-patchesviolet )]
   if abundance-relative-patchesgray    > 0 [ set shannon shannon + (abundance-relative-patchesgray   * ln abundance-relative-patchesgray)]
   if abundance-relative-patchessky     > 0 [ set shannon shannon + (abundance-relative-patchessky    * ln abundance-relative-patchessky)]
   if abundance-relative-sheepone       > 0 [ set shannon shannon + (abundance-relative-sheepone      * ln abundance-relative-sheepone)]
   if abundance-relative-sheepthree     > 0 [ set shannon shannon + (abundance-relative-sheepthree    * ln abundance-relative-sheepthree)]
   if abundance-relative-sheepfour      > 0 [ set shannon shannon + (abundance-relative-sheepfour     * ln abundance-relative-sheepfour )]
   if abundance-relative-wolvesone      > 0 [ set shannon shannon + (abundance-relative-wolvesone     * ln abundance-relative-wolvesone)]
   if abundance-relative-wolvestwo      > 0 [ set shannon shannon + (abundance-relative-wolvestwo     * ln abundance-relative-wolvestwo )]
   if abundance-relative-wolvesfour     > 0 [ set shannon shannon + (abundance-relative-wolvesfour    * ln abundance-relative-wolvesfour) ]
   set shannon (-1 * shannon)

  ; EVENESSS (Pielou)

  let Evenness ( shannon / ln richness) ;report evenness

  ; Output

  let filename (word ticks "_" "plasticity" "s" sheep-plasticity "w" wolf-plasticity "_" "cost" "s" cost-plasticity-sheep "w" cost-plasticity-wolf "_"
                     "foodsheep" sheep-gain-from-food "_" "foodwolf" wolf-gain-from-food"_" "reproduce" "s" sheep-reproduce "w" wolf-reproduce "_"
                     "grassreg" grass-regrowth-time "_" model-version "_" "rep" replicate-number ".csv")
  ;set-current-directory "C:/Users/vrios/Google Drive/projetos/nuevo/emerson/MestradoEmerson-master/output"
  set-current-directory "C:/Users/emers/Dropbox/Codigos/MestradoEmerson-master/MestradoEmerson-master/MestradoEmerson/behavioralspace"
  ;set-current-directory "/Users/Nuevissimos/Documents/Emerson/MestradoEmerson-master/behavioralspace"
  if (file-exists? filename) [file-delete filename]
  file-open filename
  file-print
      (word "ticks; sheep_plasticity; wolf_plasticity; cost_plasticity_sheep; cost_plasticity_wolf; sheep_gain_from_food; wolf_gain_from_food; sheep_reproduce; wolf_reproduce; grass_regrowth_time; model-version; replicate-number; Richness; Shannon; Evenness; AbRelPgre; AbRelPvio; AbRelPgray; AbRelPsky; AbRelSone;  AbRelSthree; AbRelSfou; AbRelWone; AbRelWtwo;  AbRelWfour; abto-patchesgreen; abto-patchesviolet; abto-patchesgray; ab-to-patchessky; abto-sheepone; abu-to-sheepthree; ab-to-sheepfour; ab-to-wolvesone; abto-wolvestwo; abto-wolvesfour; abundance-total")
  file-print
      (word ticks ";" sheep-plasticity ";" wolf-plasticity ";"cost-plasticity-sheep ";" cost-plasticity-wolf ";" sheep-gain-from-food ";" wolf-gain-from-food ";"
            sheep-reproduce ";" wolf-reproduce ";" grass-regrowth-time ";" model-version ";" replicate-number ";" richness ";" shannon ";" Evenness ";"
            abundance-relative-patchesgreen ";" abundance-relative-patchesviolet ";" abundance-relative-patchesgray ";" abundance-relative-patchessky ";"
            abundance-relative-sheepone ";" abundance-relative-sheepthree ";" abundance-relative-sheepfour ";"
            abundance-relative-wolvesone ";" abundance-relative-wolvestwo ";" abundance-relative-wolvesfour ";"
            abundance-total-patchesgreen ";" abundance-total-patchesviolet ";" abundance-total-patchesgray ";" abundance-total-patchessky ";" abundance-total-sheepone ";"
            abundance-total-sheepthree  ";"  abundance-total-sheepfour ";"  abundance-total-wolvesone ";" abundance-total-wolvestwo ";" abundance-total-wolvesfour ";" abundance-total)
  file-close
end
@#$#@#$#@
GRAPHICS-WINDOW
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ticks
30.0

SLIDER
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SLIDER
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sheep-gain-from-food
sheep-gain-from-food
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170
148
sheep-reproduce
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SLIDER
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10
340
43
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0
300
150.0
1
1
NIL
HORIZONTAL

SLIDER
175
80
340
113
wolf-gain-from-food
wolf-gain-from-food
0.0
100.0
50.0
1.0
1
NIL
HORIZONTAL

SLIDER
175
115
340
148
wolf-reproduce
wolf-reproduce
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50.0
10.0
1.0
1
%
HORIZONTAL

SLIDER
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45
170
78
grass-regrowth-time
grass-regrowth-time
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100
5.0
1
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NIL
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BUTTON
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144
263
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setup
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OBSERVER
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NIL
NIL
NIL
1

BUTTON
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go
go
T
1
T
OBSERVER
NIL
NIL
NIL
NIL
0

PLOT
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245
1190
475
Turtles
time
pop
0.0
100.0
0.0
400.0
true
true
"" ""
PENS
"sheepone" 1.0 0 -1513240 true "" "plot count sheepone"
"sheepthree" 1.0 0 -13345367 true "" "plot count sheepthree"
"sheepfour" 1.0 0 -955883 true "" "plot count sheepfour"
"wolvesone" 1.0 0 -16777216 true "" "plot count wolvesone"
"wolvestwo" 1.0 0 -2064490 true "" "plot count wolvestwo"
"wolvesfour" 1.0 0 -1184463 true "" "plot count wolvesfour"

MONITOR
75
275
130
320
sheep
count turtles with [ shape = \"sheep\"]
3
1
11

MONITOR
135
275
190
320
wolves
count turtles with [ shape = \"wolf\"]
3
1
11

MONITOR
195
275
245
320
grass
count grass with [pcolor != black]
0
1
11

SLIDER
0
150
172
183
sheep-plasticity
sheep-plasticity
0
10
8.0
1
1
NIL
HORIZONTAL

SLIDER
175
45
340
78
max-age
max-age
0
100
100.0
1
1
NIL
HORIZONTAL

SLIDER
175
185
340
218
cost-plasticity-wolf
cost-plasticity-wolf
0
1
0.9
0.1
1
NIL
HORIZONTAL

SLIDER
175
150
340
183
wolf-plasticity
wolf-plasticity
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9.0
1
1
NIL
HORIZONTAL

SLIDER
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172
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cost-plasticity-sheep
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0
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0.8
0.1
1
NIL
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PLOT
850
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100.0
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true
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"" ""
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"grass 1" 1.0 0 -10899396 true "" "plot count patches with [ pcolor = green ]"
"grass 2" 1.0 0 -8630108 true "" "plot count patches with [ pcolor = violet]"
"grass 3" 1.0 0 -7500403 true "" "plot count patches with [ pcolor = gray]"
"grass 4" 1.0 0 -13791810 true "" "plot count patches with [ pcolor = sky] "

SLIDER
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380
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413
replicate-number
replicate-number
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1000
1000.0
1
1
NIL
HORIZONTAL

CHOOSER
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330
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375
model-version
model-version
"LowPerturbationLowfractality" "LowPerturbationHighfractality" "HighPerturbationLowfractality" "HighPerturbationHighfractality"
1

BUTTON
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420
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453
NIL
impact
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T
OBSERVER
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NIL
NIL
1

@#$#@#$#@
## WHAT IS IT?

This model explores the stability of predator-prey ecosystems. Such a system is called unstable if it tends to result in extinction for one or more species involved.  In contrast, a system is stable if it tends to maintain itself over time, despite fluctuations in population sizes.

## HOW IT WORKS

There are two main variations to this model.

In the first variation, the "sheep-wolves" version, wolves and sheep wander randomly around the landscape, while the wolves look for sheep to prey on. Each step costs the wolves energy, and they must eat sheep in order to replenish their energy - when they run out of energy they die. To allow the population to continue, each wolf or sheep has a fixed probability of reproducing at each time step. In this variation, we model the grass as "infinite" so that sheep always have enough to eat, and we don't explicitly model the eating or growing of grass. As such, sheep don't either gain or lose energy by eating or moving. This variation produces interesting population dynamics, but is ultimately unstable. This variation of the model is particularly well-suited to interacting species in a rich nutrient environment, such as two strains of bacteria in a petri dish (Gause, 1934).

The second variation, the "sheep-wolves-grass" version explictly models grass (green) in addition to wolves and sheep. The behavior of the wolves is identical to the first variation, however this time the sheep must eat grass in order to maintain their energy - when they run out of energy they die. Once grass is eaten it will only regrow after a fixed amount of time. This variation is more complex than the first, but it is generally stable. It is a closer match to the classic Lotka Volterra population oscillation models. The classic LV models though assume the populations can take on real values, but in small populations these models underestimate extinctions and agent-based models such as the ones here, provide more realistic results. (See Wilensky & Rand, 2015; chapter 4).

The construction of this model is described in two papers by Wilensky & Reisman (1998; 2006) referenced below.

## HOW TO USE IT

1. Set the model-version chooser to "sheep-wolves-grass" to include grass eating and growth in the model, or to "sheep-wolves" to only include wolves (black) and sheep (white).
2. Adjust the slider parameters (see below), or use the default settings.
3. Press the SETUP button.
4. Press the GO button to begin the simulation.
5. Look at the monitors to see the current population sizes
6. Look at the POPULATIONS plot to watch the populations fluctuate over time

Parameters:
MODEL-VERSION: Whether we model sheep wolves and grass or just sheep and wolves
INITIAL-NUMBER-SHEEP: The initial size of sheep population
INITIAL-NUMBER-WOLVES: The initial size of wolf population
SHEEP-GAIN-FROM-FOOD: The amount of energy sheep get for every grass patch eaten (Note this is not used in the sheep-wolves model version)
WOLF-GAIN-FROM-FOOD: The amount of energy wolves get for every sheep eaten
SHEEP-REPRODUCE: The probability of a sheep reproducing at each time step
WOLF-REPRODUCE: The probability of a wolf reproducing at each time step
GRASS-REGROWTH-TIME: How long it takes for grass to regrow once it is eaten (Note this is not used in the sheep-wolves model version)
SHOW-ENERGY?: Whether or not to show the energy of each animal as a number

Notes:
- one unit of energy is deducted for every step a wolf takes
- when running the sheep-wolves-grass model version, one unit of energy is deducted for every step a sheep takes

There are three monitors to show the populations of the wolves, sheep and grass and a populations plot to display the population values over time.

If there are no wolves left and too many sheep, the model run stops.

## THINGS TO NOTICE

When running the sheep-wolves model variation, watch as the sheep and wolf populations fluctuate. Notice that increases and decreases in the sizes of each population are related. In what way are they related? What eventually happens?

In the sheep-wolves-grass model variation, notice the green line added to the population plot representing fluctuations in the amount of grass. How do the sizes of the three populations appear to relate now? What is the explanation for this?

Why do you suppose that some variations of the model might be stable while others are not?

## THINGS TO TRY

Try adjusting the parameters under various settings. How sensitive is the stability of the model to the particular parameters?

Can you find any parameters that generate a stable ecosystem in the sheep-wolves model variation?

Try running the sheep-wolves-grass model variation, but setting INITIAL-NUMBER-WOLVES to 0. This gives a stable ecosystem with only sheep and grass. Why might this be stable while the variation with only sheep and wolves is not?

Notice that under stable settings, the populations tend to fluctuate at a predictable pace. Can you find any parameters that will speed this up or slow it down?

## EXTENDING THE MODEL

There are a number ways to alter the model so that it will be stable with only wolves and sheep (no grass). Some will require new elements to be coded in or existing behaviors to be changed. Can you develop such a version?

Try changing the reproduction rules -- for example, what would happen if reproduction depended on energy rather than being determined by a fixed probability?

Can you modify the model so the sheep will flock?

Can you modify the model so that wolves actively chase sheep?

## NETLOGO FEATURES

Note the use of breeds to model two different kinds of "turtles": wolves and sheep. Note the use of patches to model grass.

Note use of the ONE-OF agentset reporter to select a random sheep to be eaten by a wolf.

## RELATED MODELS

Look at Rabbits Grass Weeds for another model of interacting populations with different rules.

## CREDITS AND REFERENCES

Wilensky, U. & Reisman, K. (1998). Connected Science: Learning Biology through Constructing and Testing Computational Theories -- an Embodied Modeling Approach. International Journal of Complex Systems, M. 234, pp. 1 - 12. (The Wolf-Sheep-Predation model is a slightly extended version of the model described in the paper.)

Wilensky, U. & Reisman, K. (2006). Thinking like a Wolf, a Sheep or a Firefly: Learning Biology through Constructing and Testing Computational Theories -- an Embodied Modeling Approach. Cognition & Instruction, 24(2), pp. 171-209. http://ccl.northwestern.edu/papers/wolfsheep.pdf .

Wilensky, U., & Rand, W. (2015). An introduction to agent-based modeling: Modeling natural, social and engineered complex systems with NetLogo. Cambridge, MA: MIT Press.

Lotka, A. J. (1925). Elements of physical biology. New York: Dover.

Volterra, V. (1926, October 16). Fluctuations in the abundance of a species considered mathematically. Nature, 118, 558–560.

Gause, G. F. (1934). The struggle for existence. Baltimore: Williams & Wilkins.

## HOW TO CITE

If you mention this model or the NetLogo software in a publication, we ask that you include the citations below.

For the model itself:

* Wilensky, U. (1997).  NetLogo Wolf Sheep Predation model.  http://ccl.northwestern.edu/netlogo/models/WolfSheepPredation.  Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL.

Please cite the NetLogo software as:

* Wilensky, U. (1999). NetLogo. http://ccl.northwestern.edu/netlogo/. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL.

## COPYRIGHT AND LICENSE

Copyright 1997 Uri Wilensky.

![CC BY-NC-SA 3.0](http://ccl.northwestern.edu/images/creativecommons/byncsa.png)

This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License.  To view a copy of this license, visit https://creativecommons.org/licenses/by-nc-sa/3.0/ or send a letter to Creative Commons, 559 Nathan Abbott Way, Stanford, California 94305, USA.

Commercial licenses are also available. To inquire about commercial licenses, please contact Uri Wilensky at uri@northwestern.edu.

This model was created as part of the project: CONNECTED MATHEMATICS: MAKING SENSE OF COMPLEX PHENOMENA THROUGH BUILDING OBJECT-BASED PARALLEL MODELS (OBPML).  The project gratefully acknowledges the support of the National Science Foundation (Applications of Advanced Technologies Program) -- grant numbers RED #9552950 and REC #9632612.

This model was converted to NetLogo as part of the projects: PARTICIPATORY SIMULATIONS: NETWORK-BASED DESIGN FOR SYSTEMS LEARNING IN CLASSROOMS and/or INTEGRATED SIMULATION AND MODELING ENVIRONMENT. The project gratefully acknowledges the support of the National Science Foundation (REPP & ROLE programs) -- grant numbers REC #9814682 and REC-0126227. Converted from StarLogoT to NetLogo, 2000.

<!-- 1997 2000 -->
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@#$#@#$#@
NetLogo 6.0.4
@#$#@#$#@
set model-version "sheep-wolves-grass"
set show-energy? false
setup
repeat 75 [ go ]
@#$#@#$#@
@#$#@#$#@
<experiments>
  <experiment name="PrimeiroExperimento" repetitions="1" runMetricsEveryStep="false">
    <setup>setup</setup>
    <go>go</go>
    <final>output</final>
    <timeLimit steps="498"/>
    <exitCondition>not any? turtles with [ breed = sheepone] OR not any? turtles with [ breed = sheepthree] OR not any? turtles with [ breed = sheepfour] OR not any? turtles with [ breed = wolvesone] OR not any? turtles with [ breed = wolvestwo] OR not any? turtles with [ breed = wolvesfour]</exitCondition>
    <metric>count patches with [ pcolor = green ]</metric>
    <metric>count patches with [ pcolor = violet ]</metric>
    <metric>count patches with [ pcolor = gray ]</metric>
    <metric>count patches with [ pcolor = sky ]</metric>
    <metric>count turtles with [ breed = sheepone]</metric>
    <metric>count turtles with [ breed = sheepthree]</metric>
    <metric>count turtles with [ breed = sheepfour]</metric>
    <metric>count turtles with [ breed = wolvesone]</metric>
    <metric>count turtles with [ breed = wolvestwo]</metric>
    <metric>count turtles with [ breed = wolvesfour]</metric>
    <enumeratedValueSet variable="sheep-gain-from-food">
      <value value="30"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="wolf-gain-from-food">
      <value value="100"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="sheep-reproduce">
      <value value="25"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="wolf-reproduce">
      <value value="10"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="grass-regrowth-time">
      <value value="5"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="max-age">
      <value value="100"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-number-wolves">
      <value value="150"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-number-sheep">
      <value value="150"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="cost-plasticity-sheep">
      <value value="0.8"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="cost-plasticity-wolf">
      <value value="0.9"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="sheep-plasticity">
      <value value="5"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="wolf-plasticity">
      <value value="6"/>
    </enumeratedValueSet>
    <steppedValueSet variable="replicate-number" first="1" step="1" last="100"/>
  </experiment>
  <experiment name="Simulação FINAL (resultados) Contexto 1" repetitions="1" runMetricsEveryStep="false">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="1000"/>
    <metric>count patches with [ pcolor = green ]</metric>
    <metric>count patches with [ pcolor = violet ]</metric>
    <metric>count patches with [ pcolor = gray ]</metric>
    <metric>count patches with [ pcolor = sky ]</metric>
    <metric>count turtles with [ breed = sheepone]</metric>
    <metric>count turtles with [ breed = sheepthree]</metric>
    <metric>count turtles with [ breed = sheepfour]</metric>
    <metric>count turtles with [ breed = wolvesone]</metric>
    <metric>count turtles with [ breed = wolvestwo]</metric>
    <metric>count turtles with [ breed = wolvesfour]</metric>
    <enumeratedValueSet variable="sheep-gain-from-food">
      <value value="20"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="wolf-gain-from-food">
      <value value="50"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="sheep-reproduce">
      <value value="25"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="wolf-reproduce">
      <value value="5"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="grass-regrowth-time">
      <value value="5"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="max-age">
      <value value="100"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-number-wolves">
      <value value="150"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-number-sheep">
      <value value="150"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="cost-plasticity-sheep">
      <value value="0.2"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="cost-plasticity-wolf">
      <value value="0.3"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="sheep-plasticity">
      <value value="2"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="wolf-plasticity">
      <value value="3"/>
    </enumeratedValueSet>
    <steppedValueSet variable="replicate-number" first="1" step="1" last="1000"/>
    <enumeratedValueSet variable="model-version">
      <value value="&quot;LowPerturbationLowfractality&quot;"/>
      <value value="&quot;LowPerturbationHighfractality&quot;"/>
      <value value="&quot;HighPerturbationLowfractality&quot;"/>
      <value value="&quot;HighPerturbationHighfractality&quot;"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="Simulação FINAL (resultados) Contexto 2" repetitions="1" runMetricsEveryStep="false">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="1000"/>
    <metric>count patches with [ pcolor = green ]</metric>
    <metric>count patches with [ pcolor = violet ]</metric>
    <metric>count patches with [ pcolor = gray ]</metric>
    <metric>count patches with [ pcolor = sky ]</metric>
    <metric>count turtles with [ breed = sheepone]</metric>
    <metric>count turtles with [ breed = sheepthree]</metric>
    <metric>count turtles with [ breed = sheepfour]</metric>
    <metric>count turtles with [ breed = wolvesone]</metric>
    <metric>count turtles with [ breed = wolvestwo]</metric>
    <metric>count turtles with [ breed = wolvesfour]</metric>
    <enumeratedValueSet variable="sheep-gain-from-food">
      <value value="20"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="wolf-gain-from-food">
      <value value="50"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="sheep-reproduce">
      <value value="25"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="wolf-reproduce">
      <value value="5"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="grass-regrowth-time">
      <value value="5"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="max-age">
      <value value="100"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-number-wolves">
      <value value="150"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-number-sheep">
      <value value="150"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="cost-plasticity-sheep">
      <value value="0.2"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="cost-plasticity-wolf">
      <value value="0.3"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="sheep-plasticity">
      <value value="5"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="wolf-plasticity">
      <value value="6"/>
    </enumeratedValueSet>
    <steppedValueSet variable="replicate-number" first="1" step="1" last="1000"/>
    <enumeratedValueSet variable="model-version">
      <value value="&quot;LowPerturbationLowfractality&quot;"/>
      <value value="&quot;LowPerturbationHighfractality&quot;"/>
      <value value="&quot;HighPerturbationLowfractality&quot;"/>
      <value value="&quot;HighPerturbationHighfractality&quot;"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="Simulação FINAL (resultados) Contexto 3" repetitions="1" runMetricsEveryStep="false">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="1000"/>
    <metric>count patches with [ pcolor = green ]</metric>
    <metric>count patches with [ pcolor = violet ]</metric>
    <metric>count patches with [ pcolor = gray ]</metric>
    <metric>count patches with [ pcolor = sky ]</metric>
    <metric>count turtles with [ breed = sheepone]</metric>
    <metric>count turtles with [ breed = sheepthree]</metric>
    <metric>count turtles with [ breed = sheepfour]</metric>
    <metric>count turtles with [ breed = wolvesone]</metric>
    <metric>count turtles with [ breed = wolvestwo]</metric>
    <metric>count turtles with [ breed = wolvesfour]</metric>
    <enumeratedValueSet variable="sheep-gain-from-food">
      <value value="20"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="wolf-gain-from-food">
      <value value="50"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="sheep-reproduce">
      <value value="25"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="wolf-reproduce">
      <value value="5"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="grass-regrowth-time">
      <value value="5"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="max-age">
      <value value="100"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-number-wolves">
      <value value="150"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-number-sheep">
      <value value="150"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="cost-plasticity-sheep">
      <value value="0.2"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="cost-plasticity-wolf">
      <value value="0.3"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="sheep-plasticity">
      <value value="8"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="wolf-plasticity">
      <value value="9"/>
    </enumeratedValueSet>
    <steppedValueSet variable="replicate-number" first="1" step="1" last="1000"/>
    <enumeratedValueSet variable="model-version">
      <value value="&quot;LowPerturbationLowfractality&quot;"/>
      <value value="&quot;LowPerturbationHighfractality&quot;"/>
      <value value="&quot;HighPerturbationLowfractality&quot;"/>
      <value value="&quot;HighPerturbationHighfractality&quot;"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="Simulação FINAL (resultados) Contexto 4" repetitions="1" runMetricsEveryStep="false">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="1000"/>
    <metric>count patches with [ pcolor = green ]</metric>
    <metric>count patches with [ pcolor = violet ]</metric>
    <metric>count patches with [ pcolor = gray ]</metric>
    <metric>count patches with [ pcolor = sky ]</metric>
    <metric>count turtles with [ breed = sheepone]</metric>
    <metric>count turtles with [ breed = sheepthree]</metric>
    <metric>count turtles with [ breed = sheepfour]</metric>
    <metric>count turtles with [ breed = wolvesone]</metric>
    <metric>count turtles with [ breed = wolvestwo]</metric>
    <metric>count turtles with [ breed = wolvesfour]</metric>
    <enumeratedValueSet variable="sheep-gain-from-food">
      <value value="30"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="wolf-gain-from-food">
      <value value="50"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="sheep-reproduce">
      <value value="25"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="wolf-reproduce">
      <value value="10"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="grass-regrowth-time">
      <value value="5"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="max-age">
      <value value="100"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-number-wolves">
      <value value="150"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-number-sheep">
      <value value="150"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="cost-plasticity-sheep">
      <value value="0.8"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="cost-plasticity-wolf">
      <value value="0.9"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="sheep-plasticity">
      <value value="2"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="wolf-plasticity">
      <value value="3"/>
    </enumeratedValueSet>
    <steppedValueSet variable="replicate-number" first="1" step="1" last="1000"/>
    <enumeratedValueSet variable="model-version">
      <value value="&quot;LowPerturbationLowfractality&quot;"/>
      <value value="&quot;LowPerturbationHighfractality&quot;"/>
      <value value="&quot;HighPerturbationLowfractality&quot;"/>
      <value value="&quot;HighPerturbationHighfractality&quot;"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="Simulação FINAL (resultados) Contexto 5" repetitions="1" runMetricsEveryStep="false">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="1000"/>
    <metric>count patches with [ pcolor = green ]</metric>
    <metric>count patches with [ pcolor = violet ]</metric>
    <metric>count patches with [ pcolor = gray ]</metric>
    <metric>count patches with [ pcolor = sky ]</metric>
    <metric>count turtles with [ breed = sheepone]</metric>
    <metric>count turtles with [ breed = sheepthree]</metric>
    <metric>count turtles with [ breed = sheepfour]</metric>
    <metric>count turtles with [ breed = wolvesone]</metric>
    <metric>count turtles with [ breed = wolvestwo]</metric>
    <metric>count turtles with [ breed = wolvesfour]</metric>
    <enumeratedValueSet variable="sheep-gain-from-food">
      <value value="30"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="wolf-gain-from-food">
      <value value="50"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="sheep-reproduce">
      <value value="25"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="wolf-reproduce">
      <value value="10"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="grass-regrowth-time">
      <value value="5"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="max-age">
      <value value="100"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-number-wolves">
      <value value="150"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-number-sheep">
      <value value="150"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="cost-plasticity-sheep">
      <value value="0.8"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="cost-plasticity-wolf">
      <value value="0.9"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="sheep-plasticity">
      <value value="5"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="wolf-plasticity">
      <value value="6"/>
    </enumeratedValueSet>
    <steppedValueSet variable="replicate-number" first="1" step="1" last="1000"/>
    <enumeratedValueSet variable="model-version">
      <value value="&quot;LowPerturbationLowfractality&quot;"/>
      <value value="&quot;LowPerturbationHighfractality&quot;"/>
      <value value="&quot;HighPerturbationLowfractality&quot;"/>
      <value value="&quot;HighPerturbationHighfractality&quot;"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="Simulação FINAL (resultados) Contexto 6" repetitions="1" runMetricsEveryStep="false">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="1000"/>
    <metric>count patches with [ pcolor = green ]</metric>
    <metric>count patches with [ pcolor = violet ]</metric>
    <metric>count patches with [ pcolor = gray ]</metric>
    <metric>count patches with [ pcolor = sky ]</metric>
    <metric>count turtles with [ breed = sheepone]</metric>
    <metric>count turtles with [ breed = sheepthree]</metric>
    <metric>count turtles with [ breed = sheepfour]</metric>
    <metric>count turtles with [ breed = wolvesone]</metric>
    <metric>count turtles with [ breed = wolvestwo]</metric>
    <metric>count turtles with [ breed = wolvesfour]</metric>
    <enumeratedValueSet variable="sheep-gain-from-food">
      <value value="30"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="wolf-gain-from-food">
      <value value="50"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="sheep-reproduce">
      <value value="25"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="wolf-reproduce">
      <value value="10"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="grass-regrowth-time">
      <value value="5"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="max-age">
      <value value="100"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-number-wolves">
      <value value="150"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-number-sheep">
      <value value="150"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="cost-plasticity-sheep">
      <value value="0.8"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="cost-plasticity-wolf">
      <value value="0.9"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="sheep-plasticity">
      <value value="8"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="wolf-plasticity">
      <value value="9"/>
    </enumeratedValueSet>
    <steppedValueSet variable="replicate-number" first="1" step="1" last="1000"/>
    <enumeratedValueSet variable="model-version">
      <value value="&quot;LowPerturbationLowfractality&quot;"/>
      <value value="&quot;LowPerturbationHighfractality&quot;"/>
      <value value="&quot;HighPerturbationLowfractality&quot;"/>
      <value value="&quot;HighPerturbationHighfractality&quot;"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="Variando plasticidade" repetitions="1" runMetricsEveryStep="false">
    <setup>setup</setup>
    <go>go</go>
    <final>output</final>
    <timeLimit steps="498"/>
    <exitCondition>not any? turtles with [ breed = sheepone] OR not any? turtles with [ breed = sheepthree] OR not any? turtles with [ breed = sheepfour] OR not any? turtles with [ breed = wolvesone] OR not any? turtles with [ breed = wolvestwo] OR not any? turtles with [ breed = wolvesfour]</exitCondition>
    <metric>count patches with [ pcolor = green ]</metric>
    <metric>count patches with [ pcolor = violet ]</metric>
    <metric>count patches with [ pcolor = gray ]</metric>
    <metric>count patches with [ pcolor = sky ]</metric>
    <metric>count turtles with [ breed = sheepone]</metric>
    <metric>count turtles with [ breed = sheepthree]</metric>
    <metric>count turtles with [ breed = sheepfour]</metric>
    <metric>count turtles with [ breed = wolvesone]</metric>
    <metric>count turtles with [ breed = wolvestwo]</metric>
    <metric>count turtles with [ breed = wolvesfour]</metric>
    <enumeratedValueSet variable="sheep-gain-from-food">
      <value value="20"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="wolf-gain-from-food">
      <value value="50"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="sheep-reproduce">
      <value value="15"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="wolf-reproduce">
      <value value="5"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="grass-regrowth-time">
      <value value="5"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="max-age">
      <value value="100"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-number-wolves">
      <value value="150"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-number-sheep">
      <value value="150"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="cost-plasticity-sheep">
      <value value="0.2"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="cost-plasticity-wolf">
      <value value="0.3"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="sheep-plasticity">
      <value value="8"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="wolf-plasticity">
      <value value="9"/>
    </enumeratedValueSet>
    <steppedValueSet variable="replicate-number" first="1" step="1" last="100"/>
  </experiment>
</experiments>
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