{"title":"Aggregation-diffusion in heterogeneous environments","authors":"Jonathan R. Potts","doi":"arxiv-2409.10147","DOIUrl":null,"url":null,"abstract":"Aggregation-diffusion equations are foundational tools for modelling\nbiological aggregations. Their principal use is to link the collective movement\nmechanisms of organisms to their emergent space use patterns in a rigorous,\nnon-speculative way. However, most existing studies implicitly assume that\norganism movement is not affected by the underlying environment. In reality,\nthe environment is a key determinant of emergent space use patterns, albeit in\ncombination with collective aspects of motion. This work studies\naggregation-diffusion equations in a heterogeneous environment in one spatial\ndimension. Under certain assumptions, it is possible to find exact analytic\nexpressions for the steady-state solutions to the equation when diffusion is\nquadratic. Minimising the associated energy functional across these solutions\nprovides a rapid way of determining the likely emergent space use pattern,\nwhich can be verified via numerics. This energy-minimisation procedure is\napplied to a simple test case, where the environment consists of a single clump\nof attractive resources. Here, self-attraction and resource-attraction combine\nto shape the emergent aggregation. Two counter-intuitive results emerge from\nthe analytic results: (a) a non-monotonic dependence of clump width on the\naggregation width, (b) a positive correlation between self-attraction strength\nand aggregation width when the resource attraction is strong. These are\nverified through numerical simulations. Overall, the study shows rigorously how\nenvironment and collective behaviour combine to shape organism space use,\nsometimes in counter-intuitive ways.","PeriodicalId":501044,"journal":{"name":"arXiv - QuanBio - Populations and Evolution","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuanBio - Populations and Evolution","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.10147","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
Aggregation-diffusion equations are foundational tools for modelling
biological aggregations. Their principal use is to link the collective movement
mechanisms of organisms to their emergent space use patterns in a rigorous,
non-speculative way. However, most existing studies implicitly assume that
organism movement is not affected by the underlying environment. In reality,
the environment is a key determinant of emergent space use patterns, albeit in
combination with collective aspects of motion. This work studies
aggregation-diffusion equations in a heterogeneous environment in one spatial
dimension. Under certain assumptions, it is possible to find exact analytic
expressions for the steady-state solutions to the equation when diffusion is
quadratic. Minimising the associated energy functional across these solutions
provides a rapid way of determining the likely emergent space use pattern,
which can be verified via numerics. This energy-minimisation procedure is
applied to a simple test case, where the environment consists of a single clump
of attractive resources. Here, self-attraction and resource-attraction combine
to shape the emergent aggregation. Two counter-intuitive results emerge from
the analytic results: (a) a non-monotonic dependence of clump width on the
aggregation width, (b) a positive correlation between self-attraction strength
and aggregation width when the resource attraction is strong. These are
verified through numerical simulations. Overall, the study shows rigorously how
environment and collective behaviour combine to shape organism space use,
sometimes in counter-intuitive ways.