neighboreffects.nlogo

globals
[
  mutualistA ;;agent numbers of mutualistA
  mutualistB ;;agent numbers of mutualistB
  non-mutualistA ;;agent numbers of non-mutualistA
  non-mutualistB ;;agent numbers of non-mutualistB
  turtles-xcorB ;;record turtles numbers on every xcor of mutualists
  turtles-xcorR ;;record turtles numbers on every xcor of cheaters
  turtles-xcorA ;;record turtles numbers on every xcor
  i ;;save list
  
]

patches-own 
[
  environment ;;environmental gradients
]

turtles-own
[
  species      ;; 1 speciesA, 0 speciesB
  mutualist    ;; 1 mutualist, 0 non-mutualist, 2 empty
  reproduction ;; reproduction rate
  reproduce?   ;; if a turtle is going to try to reproduce
]  

to setup
  clear-all

  setup-turtles
  
  ask turtles 
  [
    set reproduction r
    set reproduce? FALSE
  ]
  
  environmental-gradient
  if color_setting = "species_strategy"
  [
    setcolor
  ]
  
  if color_setting = "species_distributions"
  [
    setcolor_S
  ]
  reset-ticks
  
end

to setup-turtles
  ;;set two kinds of turtles with colors
  
  create-turtles Species_Population ;;speciesA
  [
    set species 1 
    move-to one-of patches with [not any? turtles-here] 
    set size 0.5
    set color yellow
    if hide-turtles [hide-turtle]
  ] 
  
  create-turtles Species_Population ;;speciesB
  [
    set species 0
    move-to one-of patches with [not any? turtles-here with [species = 0]] 
    set size 0.5
    set color green
    if hide-turtles [hide-turtle]
  ]
  
  ;;generate number of agents  
  set mutualistA (SpeciesA-mutualist-percentage / 100) * Species_Population
  set non-mutualistA ((100 - SpeciesA-mutualist-percentage) / 100) * Species_Population
  set mutualistB (SpeciesB-mutualist-percentage / 100) * Species_Population
  set non-mutualistB ((100 - SpeciesB-mutualist-percentage) / 100) * Species_Population
  
  ;;allocate certain species distributions, based one species occupation rates
  ;;When a patch creates a turtle, you use sprout.
  ask n-of (mutualistA + non-mutualistA) turtles with [species = 1]
  [
    set mutualist 1 
  ]
  
  ask n-of non-mutualistA turtles with [species = 1] 
  [
    set mutualist 0
  ]
  
  ask n-of (mutualistB + non-mutualistB) turtles with [species = 0] 
  [
    set mutualist 1 
  ]
  
  ask n-of non-mutualistB turtles with [species = 0] 
  [
    set mutualist 0
  ]
  
end

to environmental-gradient
  ;;set environmental gradients - linear gradient from 1/200 to 1 
  ask patches 
  [
    set environment (1 - (pxcor / world-width))
  ]  
end

to setup-plot
  set-current-plot "Environmental_Quality"
  set-plot-x-range (1 / world-width) 1
  ask patches 
  [
    let strategyA count turtles with [pcolor = red and pxcor = pxcor]
    let strategyB count turtles with [pcolor = blue and pxcor = pxcor]
    
    histogram [strategyA] of turtles
  ]  
end

to go
  if count turtles with [species = 1] = 0 [stop]
  if count turtles with [species = 0] = 0 [stop]
  
  diffusions             ;;propagule
  deathrate
  
  if color_setting = "species_strategy"
  [
    setcolor
  ]
  
  if color_setting = "species_distributions"
  [
    setcolor_S
  ]
  ;setup-plot
  
  savecountturtles
  tick
  if ticks = 2500 [stop]
  
end

to deathrate
  ask turtles
  [
    if random-float 1 < d [die]
  ]
end


  
to diffusions ;;propagule
  ask turtles with [species = 1]
  [ 
    let parents-strategy mutualist
    let other-mutualist 0
    ask other turtles-here [set other-mutualist mutualist] ;; if there is another turtle here who is mutualist, then...
    
    ;; actual probability of reproduction is: (r * environment-gradient) + b - c
    set reproduction (r * environment) + (b * other-mutualist) - (c * mutualist) ;; ... multiply our b & c payoffs by 1 or 0 to determine if they take effect (because mutualist)
    
    spatial_effectA
    
    if reproduction < 0 [set reproduction 0]
    
    let pvalue random-float 1
    if (sum [count turtles-here with [species = 1]] of neighbors4 < count neighbors4) and (pvalue < reproduction)
    [
      ask one-of neighbors4 with [not any? turtles-here with [species = 1]] 
      [
        sprout 1 
        [
          set species 1
          set mutualist parents-strategy
          set reproduction r
          set size 0.5
          set color yellow
          if hide-turtles [hide-turtle]
        ]
      ]
    ]
  ]
     
     
  ask turtles with [species = 0]
  [
    let parents-strategy mutualist
    let other-mutualist 0
    ask other turtles-here [set other-mutualist mutualist]
    
    ;; actual probability of reproduction is: (r * environment-gradient) + b - c
    set reproduction (r * environment) + (b * other-mutualist) - (c * mutualist)
    
    spatial_effectB
    
    if reproduction < 0 [set reproduction 0]
    
    let pvalue random-float 1
    
    if (sum [count turtles-here with [species = 0]] of neighbors4 < count neighbors4) and (pvalue < reproduction)
    [
      ask one-of neighbors4 with [not any? turtles-here with [species = 0]] 
      [ 
        sprout 1 
        [
          set species 0
          set mutualist parents-strategy
          set reproduction r
          set size 0.5
          set color green
          if hide-turtles [hide-turtle]
        ]
      ]
    ]
  ]
end

to spatial_effectA
    if Spatial_Weights = "no-effects"
    [
      
    ]
    
    if Spatial_Weights = "Rook-contiguity"
    [
      if heterogeneity = "no_effects" ;;either mutualists or cheaters increase the reproduction rates 
      [
      ;;4neighbor clusters make effects on reproduction rates
      if sum [count turtles-here with [species = 1]] of neighbors4 > (count neighbors4 / 2) 
      [
        set reproduction reproduction * (1 + sum [count turtles-here with [species = 1]] of neighbors4 / count neighbors4)
      ]
      ]
      
      if heterogeneity = "species_strategy"
      [
        if mutualist = 1 ;;mutualists with neighbor effects => increase reproduction rates
        [
        if sum [count turtles-here with [species = 1]] of neighbors4 > (count neighbors4 / 2) 
        [
          set reproduction reproduction * (1 + ((sum [count turtles-here with [species = 1]] of neighbors4) ) * 0.005) 
        ]
        
        ]
        if mutualist = 0 ;;cheaters with neighbor effects => decrease reproduction rates
        [
          if sum [count turtles-here with [species = 1]] of neighbors4 > (count neighbors4 / 2) 
        [
          set reproduction reproduction * (1 - ((sum [count turtles-here with [species = 1]] of neighbors4) ) * 0.005)
        ]
        ]
      ]
      
    ]
    
    if Spatial_Weights = "Queen-contiguity"
    [
      if heterogeneity = "no_effects" ;;either mutualists or cheaters increase the reproduction rates 
      [
      ;;8neighbor clusters make effects on reproduction rates
      if sum [count turtles-here with [species = 1]] of neighbors > (count neighbors / 2) 
      [ 
        set reproduction reproduction * (1 + sum [count turtles-here with [species = 1]] of neighbors / count neighbors)
      ]
      ]
      
      if heterogeneity = "species_strategy"
      [
        if mutualist = 1 ;;mutualists with neighbor effects => increase reproduction rates
        [
         if sum [count turtles-here with [species = 1]] of neighbors > (count neighbors / 2) 
         [ 
           set reproduction reproduction * (1 + ((sum [count turtles-here with [species = 1]] of neighbors) ) * 0.005)
         ]
        ]
        
        if mutualist = 0 ;;mutualists with neighbor effects => increase reproduction rates
        [
        if sum [count turtles-here with [species = 1]] of neighbors4 > (count neighbors / 2) 
        [
          set reproduction reproduction * (1 - ((sum [count turtles-here with [species = 1]] of neighbors) ) * 0.005)
        ]
        ]
      ]
    ]
    
end

  
to spatial_effectB
  if Spatial_Weights = "no-effects"
  [
    
  ]
  
      if Spatial_Weights = "Rook-contiguity"
    [
      if heterogeneity = "no_effects" ;;either mutualists or cheaters increase the reproduction rates 
      [
      ;;4neighbor clusters make effects on reproduction rates
      if sum [count turtles-here with [species = 0]] of neighbors4 > (count neighbors4 / 2) 
      [
        set reproduction reproduction * (1 + sum [count turtles-here with [species = 0]] of neighbors4 / count neighbors4) ;;1 + (?/4)
      ]
      ]
      
      if heterogeneity = "species_strategy"
      [
        if mutualist = 1 ;;mutualists with neighbor effects => increase reproduction rates
        [
        if sum [count turtles-here with [species = 0]] of neighbors4 > (count neighbors4 / 2) ;;neighbor > 2
        [
          set reproduction reproduction * (1 + ((sum [count turtles-here with [species = 0]] of neighbors4) ) * 0.005) 
        ]
        
        ]
        if mutualist = 0 ;;cheaters with neighbor effects => decrease reproduction rates
        [
          if sum [count turtles-here with [species = 0]] of neighbors4 > (count neighbors4 / 2) 
        [
          set reproduction reproduction * (1 - ((sum [count turtles-here with [species = 0]] of neighbors4) ) * 0.005)
        ]
        ]
      ]
    ]
    
    if Spatial_Weights = "Queen-contiguity"
    [
      if heterogeneity = "no_effects" ;;either mutualists or cheaters increase the reproduction rates
      [
      ;;8neighbor clusters make effects on reproduction rates
      if sum [count turtles-here with [species = 0]] of neighbors > (count neighbors / 2) 
      [ 
        set reproduction reproduction * (1 + sum [count turtles-here with [species = 0]] of neighbors / count neighbors)
      ]
      ]
      
      if heterogeneity = "species_strategy"
      [
        if mutualist = 1 ;;mutualists with neighbor effects => increase reproduction rates
        [
         if sum [count turtles-here with [species = 0]] of neighbors > (count neighbors / 2) 
         [ 
           set reproduction reproduction * (1 + ((sum [count turtles-here with [species = 0]] of neighbors) ) * 0.005)
           
         ]
        ]
        
        if mutualist = 0 ;;cheaters with neighbor effects => decrease reproduction rates
        [
        if sum [count turtles-here with [species = 0]] of neighbors4 > (count neighbors / 2) 
        [
          set reproduction reproduction * (1 - ((sum [count turtles-here with [species = 0]] of neighbors) ) * 0.005)
        ]
        ]
      ]
    ]
   
            
end    

to savecountturtles
  set i 0
  set turtles-xcorB []
  set turtles-xcorR []
  set turtles-xcorA []
  repeat world-width 
  [
    if i < world-width
    [
    let resultB count patches with [pxcor = i and (pcolor = blue or pcolor = 102)]
    let resultR count patches with [pxcor = i and (pcolor = red or pcolor = 12)]
    let resultA count turtles with [pxcor = i]
    set turtles-xcorB lput (resultB) turtles-xcorB
    set turtles-xcorR lput (resultR) turtles-xcorR
    set turtles-xcorA lput (resultA) turtles-xcorA
    set i i + 1
    ]
    
  ]
end
  
to setcolor
  ask patches [set pcolor white]
  
  ask patches
  [
    if count turtles-here = 2
    [
      ask turtles-here
      [
        ifelse mutualist = 0 ;;cheater
        [
          ifelse [mutualist] of one-of other turtles-here = 0
            [set pcolor 15] ;;both cheater, bright red
            [set pcolor 65] ;;one cheater & one mutualist, green
        ]
        [;;mutualist
          ifelse [mutualist] of one-of other turtles-here = 0
            [set pcolor 65] ;;one mutualist & one cheater, green
            [set pcolor 105] ;;both mutualist, bright blue
        ]
      ]
    ]
    
    if count turtles-here = 1
    [
      ask turtles-here [
        ifelse mutualist = 1
        [set pcolor 102];;one mutualist, dark blue
        [set pcolor 12] ;;one cheater, dark red
      ]
    ]   
  ]
end

to setcolor_S
  ask patches [set pcolor white]
  
  ask patches
  [
    if count turtles-here = 2
    [
      ask turtles-here
      [
        if species = 1 ;;speciesA
        [
          if [species] of one-of other turtles-here = 0
            [
              set pcolor 65
             ] ;;one speciesA & one speciesB, green
        ]

      ]
    ]
    
    if count turtles-here = 1
    [
      ask turtles-here [
        ifelse species = 1
        [set pcolor 102];;one speciesA, dark blue
        [set pcolor 12] ;;one speciesB, dark red
      ]
    ]   
  ]
end  
@#$#@#$#@
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BUTTON
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setup
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OBSERVER
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BUTTON
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go
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BUTTON
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go
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TEXTBOX
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Reproduction Rate
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TEXTBOX
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Death Rate
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TEXTBOX
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1008
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Reference: \nTravis, J.M.J., Brooker, R.W., & Dytham, C. (2005). The interplay of positive and negative species interactions across an environmental gradient: insights from an individual-based simulation model. Biology Letters, 1, 5-8
11
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SLIDER
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SpeciesA-mutualist-percentage
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SLIDER
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SLIDER
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r
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SWITCH
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hide-turtles
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PLOT
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Environmental_Quality
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true
true
"set-plot-x-range min-pxcor max-pxcor\nset-histogram-num-bars world-width" ""
PENS
"mutualist" 1.0 1 -13791810 true "" "histogram [xcor] of turtles with [pcolor = blue or pcolor = 102]"
"cheater" 1.0 1 -2674135 true "" "histogram [xcor] of turtles with [pcolor = red or pcolor = 12]"

CHOOSER
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Spatial_Weights
Spatial_Weights
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2

PLOT
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the_best_environment
NIL
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10.0
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false
"" ""
PENS
"cheater" 1.0 0 -2674135 true "" "plot count turtles with [pxcor < 25 and (pcolor = red or pcolor = 12)] / count turtles with [pxcor < 25]"
"mutualist" 1.0 0 -13345367 true "" "plot count turtles with [pxcor < 25 and (pcolor = blue or pcolor = 102)] / count turtles with [pxcor < 25]"

PLOT
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better_environment
NIL
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"" ""
PENS
"cheater" 1.0 0 -2674135 true "" "plot count turtles with [pxcor < 50 and pxcor >= 25 and (pcolor = red or pcolor = 12)] / count turtles with [pxcor < 50 and pxcor >= 25]"
"mutualist" 1.0 0 -13345367 true "" "plot count turtles with [pxcor < 50 and pxcor >= 25 and (pcolor = blue or pcolor = 102)] / count turtles with [pxcor < 50 and pxcor >= 25]"

PLOT
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worse_environment
NIL
NIL
0.0
10.0
0.0
1.0
true
false
"" ""
PENS
"cheater" 1.0 0 -2674135 true "" "plot count turtles with [pxcor < 75 and pxcor >= 50 and (pcolor = red or pcolor = 12)] / count turtles with [pxcor < 75 and pxcor >= 50]"
"mutualist" 1.0 0 -13345367 true "" "plot count turtles with [pxcor < 75 and pxcor >= 50 and (pcolor = blue or pcolor = 102)] / count turtles with [pxcor < 75 and pxcor >= 50]"

TEXTBOX
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Neighbor Effects
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CHOOSER
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Color_setting
Color_setting
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CHOOSER
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heterogeneity
heterogeneity
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@#$#@#$#@
## WHAT IS IT?

(a general understanding of what the model is trying to show or explain)

## HOW IT WORKS

(what rules the agents use to create the overall behavior of the model)

## HOW TO USE IT

(how to use the model, including a description of each of the items in the Interface tab)

## THINGS TO NOTICE

(suggested things for the user to notice while running the model)

## THINGS TO TRY

(suggested things for the user to try to do (move sliders, switches, etc.) with the model)

## EXTENDING THE MODEL

(suggested things to add or change in the Code tab to make the model more complicated, detailed, accurate, etc.)

## NETLOGO FEATURES

(interesting or unusual features of NetLogo that the model uses, particularly in the Code tab; or where workarounds were needed for missing features)

## RELATED MODELS

(models in the NetLogo Models Library and elsewhere which are of related interest)

## CREDITS AND REFERENCES

(a reference to the model's URL on the web if it has one, as well as any other necessary credits, citations, and links)
@#$#@#$#@
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NetLogo 5.0.3
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<experiments>
  <experiment name="Queen_Dstrategy" repetitions="100" runMetricsEveryStep="false">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="2500"/>
    <metric>turtles-xcorB</metric>
    <metric>turtles-xcorR</metric>
    <metric>turtles-xcorA</metric>
    <metric>count turtles with [pxcor &lt; 25 and (pcolor = red or pcolor = 12)] / count turtles with [pxcor &lt; 25]</metric>
    <metric>count turtles with [pxcor &lt; 25 and (pcolor = blue or pcolor = 102)] / count turtles with [pxcor &lt; 25]</metric>
    <metric>count turtles with [pxcor &lt; 50 and pxcor &gt;= 25 and (pcolor = red or pcolor = 12)] / count turtles with [pxcor &lt; 50 and pxcor &gt;= 25]</metric>
    <metric>count turtles with [pxcor &lt; 50 and pxcor &gt;= 25 and (pcolor = blue or pcolor = 102)] / count turtles with [pxcor &lt; 50 and pxcor &gt;= 25]</metric>
    <metric>count turtles with [pxcor &lt; 75 and pxcor &gt;= 50 and (pcolor = red or pcolor = 12)] / count turtles with [pxcor &lt; 75 and pxcor &gt;= 50]</metric>
    <metric>count turtles with [pxcor &lt; 75 and pxcor &gt;= 50 and (pcolor = blue or pcolor = 102)] / count turtles with [pxcor &lt; 75 and pxcor &gt;= 50]</metric>
    <metric>count turtles with [pxcor &gt;= 75 and (pcolor = red or pcolor = 12)] / count turtles with [pxcor &gt;= 75]</metric>
    <metric>count turtles with [pxcor &gt;= 75 and (pcolor = blue or pcolor = 102)] / count turtles with [pxcor &gt;= 75]</metric>
    <enumeratedValueSet variable="Color_setting">
      <value value="&quot;species_strategy&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Species_Population">
      <value value="350"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="hide-turtles">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="b">
      <value value="0.15"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Spatial_Weights">
      <value value="&quot;Queen-contiguity&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="c">
      <value value="0.02"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="r">
      <value value="0.3"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="SpeciesA-mutualist-percentage">
      <value value="50"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="heterogeneity">
      <value value="&quot;species_strategy&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="SpeciesB-mutualist-percentage">
      <value value="50"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="d">
      <value value="0.08"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="Rook_Dstrategy" repetitions="100" runMetricsEveryStep="false">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="2500"/>
    <metric>turtles-xcorB</metric>
    <metric>turtles-xcorR</metric>
    <metric>turtles-xcorA</metric>
    <metric>count turtles with [pxcor &lt; 25 and (pcolor = red or pcolor = 12)] / count turtles with [pxcor &lt; 25]</metric>
    <metric>count turtles with [pxcor &lt; 25 and (pcolor = blue or pcolor = 102)] / count turtles with [pxcor &lt; 25]</metric>
    <metric>count turtles with [pxcor &lt; 50 and pxcor &gt;= 25 and (pcolor = red or pcolor = 12)] / count turtles with [pxcor &lt; 50 and pxcor &gt;= 25]</metric>
    <metric>count turtles with [pxcor &lt; 50 and pxcor &gt;= 25 and (pcolor = blue or pcolor = 102)] / count turtles with [pxcor &lt; 50 and pxcor &gt;= 25]</metric>
    <metric>count turtles with [pxcor &lt; 75 and pxcor &gt;= 50 and (pcolor = red or pcolor = 12)] / count turtles with [pxcor &lt; 75 and pxcor &gt;= 50]</metric>
    <metric>count turtles with [pxcor &lt; 75 and pxcor &gt;= 50 and (pcolor = blue or pcolor = 102)] / count turtles with [pxcor &lt; 75 and pxcor &gt;= 50]</metric>
    <metric>count turtles with [pxcor &gt;= 75 and (pcolor = red or pcolor = 12)] / count turtles with [pxcor &gt;= 75]</metric>
    <metric>count turtles with [pxcor &gt;= 75 and (pcolor = blue or pcolor = 102)] / count turtles with [pxcor &gt;= 75]</metric>
    <enumeratedValueSet variable="Color_setting">
      <value value="&quot;species_strategy&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Species_Population">
      <value value="350"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="hide-turtles">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="b">
      <value value="0.15"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Spatial_Weights">
      <value value="&quot;Rook-contiguity&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="c">
      <value value="0.02"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="r">
      <value value="0.3"/>
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    <enumeratedValueSet variable="SpeciesA-mutualist-percentage">
      <value value="50"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="heterogeneity">
      <value value="&quot;species_strategy&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="SpeciesB-mutualist-percentage">
      <value value="50"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="d">
      <value value="0.08"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="noeffects" repetitions="100" runMetricsEveryStep="false">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="2500"/>
    <metric>turtles-xcorB</metric>
    <metric>turtles-xcorR</metric>
    <metric>turtles-xcorA</metric>
    <metric>count turtles with [pxcor &lt; 25 and (pcolor = red or pcolor = 12)] / count turtles with [pxcor &lt; 25]</metric>
    <metric>count turtles with [pxcor &lt; 25 and (pcolor = blue or pcolor = 102)] / count turtles with [pxcor &lt; 25]</metric>
    <metric>count turtles with [pxcor &lt; 50 and pxcor &gt;= 25 and (pcolor = red or pcolor = 12)] / count turtles with [pxcor &lt; 50 and pxcor &gt;= 25]</metric>
    <metric>count turtles with [pxcor &lt; 50 and pxcor &gt;= 25 and (pcolor = blue or pcolor = 102)] / count turtles with [pxcor &lt; 50 and pxcor &gt;= 25]</metric>
    <metric>count turtles with [pxcor &lt; 75 and pxcor &gt;= 50 and (pcolor = red or pcolor = 12)] / count turtles with [pxcor &lt; 75 and pxcor &gt;= 50]</metric>
    <metric>count turtles with [pxcor &lt; 75 and pxcor &gt;= 50 and (pcolor = blue or pcolor = 102)] / count turtles with [pxcor &lt; 75 and pxcor &gt;= 50]</metric>
    <metric>count turtles with [pxcor &gt;= 75 and (pcolor = red or pcolor = 12)] / count turtles with [pxcor &gt;= 75]</metric>
    <metric>count turtles with [pxcor &gt;= 75 and (pcolor = blue or pcolor = 102)] / count turtles with [pxcor &gt;= 75]</metric>
    <enumeratedValueSet variable="c">
      <value value="0.02"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Spatial_Weights">
      <value value="&quot;no_effects&quot;"/>
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    <enumeratedValueSet variable="d">
      <value value="0.08"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="hide-turtles">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Color_setting">
      <value value="&quot;species_strategy&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="SpeciesB-mutualist-percentage">
      <value value="50"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Species_Population">
      <value value="350"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="SpeciesA-mutualist-percentage">
      <value value="50"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="heterogeneity">
      <value value="&quot;no_effects&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="r">
      <value value="0.3"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="b">
      <value value="0.15"/>
    </enumeratedValueSet>
  </experiment>
</experiments>
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