The Range‐Resident Logistic Model: A New Framework to Formalise the Population‐Dynamics Consequences of Range Residency

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.

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Journal
Ecology Letters
Published
2025-12-01
DOI
https://doi.org/10.1111/ele.70269
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
0.00

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article

The Range‐Resident Logistic Model: A New Framework to Formalise the Population‐Dynamics Consequences of Range Residency

Justin M. Calabrese, Ricardo Martínez‐García, Paulo Inácio Prado, William F. Fagan et al.
Ecology Letters
Species Distribution and Climate Change
article

The Range‐Resident Logistic Model: A New Framework to Formalise the Population‐Dynamics Consequences of Range Residency

Justin M. Calabrese, Ricardo Martínez‐García, Paulo Inácio Prado, William F. Fagan, Rafael Menezes
article en

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.

Ecology LettersVol. 28(12)
American Institute for Economic Research (US), Helmholtz Centre for Environmental Research (DE), Universidade de São Paulo (BR), Helmholtz-Zentrum Dresden-Rossendorf (DE), Center for Advanced Systems Understanding (DE), Hochschule für Technik und Wirtschaft Dresden – University of Applied Sciences (DE), University of Maryland, College Park (US), Technische Universität Dresden (DE)
National Science 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
Openalex Percentile: Top 78%
Species Distribution and Climate Change
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