2021
DOI: 10.1016/j.cnsns.2021.105746
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Sequences of patch disturbance in a spatial eco-evolutionary model

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Cited by 1 publication
(7 citation statements)
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“…As with regular migration in the model, neighboring patches are considered to be the 2-4 (non-diagonally) adjacent patches. This set of experiments was previously tested for two ensembles with reduced species range resulting from different dispersal rules (Abernethy, 2021), and in a set of models that were compared with the observations of empirical experiments on white-footed mice (Burns & Grear, 2008).…”
Section: Ind Ividual Patch Dele Ti Onmentioning
confidence: 99%
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“…As with regular migration in the model, neighboring patches are considered to be the 2-4 (non-diagonally) adjacent patches. This set of experiments was previously tested for two ensembles with reduced species range resulting from different dispersal rules (Abernethy, 2021), and in a set of models that were compared with the observations of empirical experiments on white-footed mice (Burns & Grear, 2008).…”
Section: Ind Ividual Patch Dele Ti Onmentioning
confidence: 99%
“…Populations may only move between patches that are directly adjacent on the two‐dimensional spatial lattice, and are prohibited from moving diagonally, so δj,k,x,y=1$$ {\delta}_{j,k,x,y}=1 $$ if and only if either jx=1$$ \mid j-x\mid =1 $$ and k=y$$ k=y $$ or j=x$$ j=x $$ and ky=1$$ \mid k-y\mid =1 $$ (and δj,k,x,y=0$$ {\delta}_{j,k,x,y}=0 $$ otherwise). In order to generate emergent meta‐communities composed of species with a range of more than 1–2 patches, while preventing homogenization of the spatial network, we combine two dispersal mechanisms previously used (Abernethy, 2021), so that a small portion of each local population is constantly attempting to enter the neighboring patches, but much greater emigration will occur from patches where that population has declined since the previous ecological time step, with the fraction of the remaining population that emigrates proportional to the relative loss suffered. This is given by:leftμi,j,k,x,y=Dj,k1×sis0×{max}{0.001,1em0.03)(Ni,j,kt1Ni,j,kt/Ni,j,kt1if0.12emNi,j,kt1>Ni,j,kt,0.001otherwise.…”
Section: Model Descriptionmentioning
confidence: 99%
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