Patrick Lawton, Ashkaan K. Fahimipour, Kurt E. Anderson
{"title":"Interspecific dispersal constraints suppress pattern formation in metacommunities","authors":"Patrick Lawton, Ashkaan K. Fahimipour, Kurt E. Anderson","doi":"arxiv-2403.13098","DOIUrl":null,"url":null,"abstract":"Decisions to disperse from a habitat stand out among organismal behaviors as\npivotal drivers of ecosystem dynamics across scales. Encounters with other\nspecies are an important component of adaptive decision-making in dispersal,\nresulting in widespread behaviors like tracking resources or avoiding consumers\nin space. Despite this, metacommunity models often treat dispersal as a\nfunction of intraspecific density alone. We show, focusing initially on\nthree-species network motifs, that interspecific dispersal rules generally\ndrive a transition in metacommunities from homogeneous steady states to\nself-organized heterogeneous spatial patterns. However, when ecologically\nrealistic constraints reflecting adaptive behaviors are imposed -- prey\ntracking and predator avoidance -- a pronounced homogenizing effect emerges\nwhere spatial pattern formation is suppressed. We demonstrate this effect for\neach motif by computing master stability functions that separate the\ncontributions of local and spatial interactions to pattern formation. We extend\nthis result to species rich food webs using a random matrix approach, where we\nfind that eventually webs become large enough to override the homogenizing\neffect of adaptive dispersal behaviors, leading once again to predominately\npattern forming dynamics. Our results emphasize the critical role of\ninterspecific dispersal rules in shaping spatial patterns across landscapes,\nhighlighting the need to incorporate adaptive behavioral constraints in efforts\nto link local species interactions and metacommunity structure.","PeriodicalId":501305,"journal":{"name":"arXiv - PHYS - Adaptation and Self-Organizing Systems","volume":"29 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Adaptation and Self-Organizing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2403.13098","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Decisions to disperse from a habitat stand out among organismal behaviors as
pivotal drivers of ecosystem dynamics across scales. Encounters with other
species are an important component of adaptive decision-making in dispersal,
resulting in widespread behaviors like tracking resources or avoiding consumers
in space. Despite this, metacommunity models often treat dispersal as a
function of intraspecific density alone. We show, focusing initially on
three-species network motifs, that interspecific dispersal rules generally
drive a transition in metacommunities from homogeneous steady states to
self-organized heterogeneous spatial patterns. However, when ecologically
realistic constraints reflecting adaptive behaviors are imposed -- prey
tracking and predator avoidance -- a pronounced homogenizing effect emerges
where spatial pattern formation is suppressed. We demonstrate this effect for
each motif by computing master stability functions that separate the
contributions of local and spatial interactions to pattern formation. We extend
this result to species rich food webs using a random matrix approach, where we
find that eventually webs become large enough to override the homogenizing
effect of adaptive dispersal behaviors, leading once again to predominately
pattern forming dynamics. Our results emphasize the critical role of
interspecific dispersal rules in shaping spatial patterns across landscapes,
highlighting the need to incorporate adaptive behavioral constraints in efforts
to link local species interactions and metacommunity structure.