The Range‐Resident Logistic Model: A New Framework to Formalise the Population‐Dynamics Consequences of Range Residency
Year: 2025
Type: article
Abstract: Individual movement is critical in shaping population dynamics. However, existing frameworks linking these two processes often rely on unrealistic assumptions or numerical simulations. To address this gap, we introduce the range-resident logistic model, an easy-to-simulate and mathematically tractable extension of the spatial logistic model that incorporates empirically supported range-resident movement. Our framework unifies non-spatial and (sessile) spatial formulations of the logistic model as limiting cases. Between these regimes, the long-term population size depends nonlinearly on home-range size and spatial distribution. Neglecting range residency can hence lead to under- or overestimating population carrying capacity. To better understand these results, we also introduce a novel crowding index that depends on movement parameters and can be estimated from tracking data. This index captures the influence of spatial structure on population size, and serves as a robust predictor of abundance. The range-resident logistic model is thus a unifying framework bridging movement and population ecology.
Source: Ecology Letters
DOI: 10.1111/ele.70269
Institutions: Universidade de São Paulo, Helmholtz-Zentrum Dresden-Rossendorf, Center for Advanced Systems Understanding, ICTP South American Institute for Fundamental Research, Universidade Estadual Paulista (Unesp), Helmholtz Centre for Environmental Research, University of Maryland, College Park, Technische Universität Dresden
Language: English
Field: Medicine
Domain: Health Sciences
SDG: Life on land
Open Access status: hybrid
Estimated APC paid: $5,300
Funders: National Science Foundation, Simons Foundation, Abdus Salam International Centre for Theoretical Physics, Fundação de Amparo à Pesquisa do Estado de São Paulo, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Bundesministerium für Bildung und Forschung, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Sächsisches Staatsministerium für Wissenschaft und Kunst, Universidade Estadual Paulista, ICTP South American Institute for Fundamental Research
Awards: G2065082359, G2538838476, G29316538, G295657101, Collaborative Research: IIBR Informatics: Data integration to improve population distribution estimation with animal tracking data, Toward a mechanistic theory for biological patterns and their ecosystem management possibilities, G4121496537, G4363699322, G4699990819, G476975023, ICTP South American Institute for Fundamental Research: a regional center for Theoretical Physics, G6112770497, G6438247056
OpenAlex ID: W4417251983