A Mechanistic Approach to Animal Dispersal—Quantifying Energetics and Maximum Distances

Dispersal is a fundamental process driving many ecological patterns. During transfer, species often make large-scale displacements resulting in significant energy losses with implications for fitness and survival, however generalising these losses across different taxonomic groups is challenging. We developed a bioenergetic dispersal model based on fundamental processes derived from species traits. By balancing energy storage and energy loss during active dispersal, our mechanistic model can quantify energy expenditures depending on landscape configuration and the species in focus. Moreover, it can be used to predict the maximum dispersal capacity of animals, which we compare with recorded maximum dispersal distances (n = 1571). Due to its foundation in bioenergetics it can easily be integrated into various ecological models, such as food-web and meta-community models. Furthermore, as dispersal is integral to ecological research, the quantification of dispersal capacities provides valuable insight into landscape connectivity, species persistence, and distribution patterns with implications for conservation research.

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Publication Details

Journal
Ecology Letters
Published
2025-02-01
DOI
https://doi.org/10.1111/ele.70085
Citations
1
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
1.84

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article

A Mechanistic Approach to Animal Dispersal—Quantifying Energetics and Maximum Distances

Ulrich Brose, Caitlin Wilkinson, Remo Ryser, Myriam R. Hirt et al.
1 citations
Ecology Letters
Species Distribution and Climate Change
1.84
article

A Mechanistic Approach to Animal Dispersal—Quantifying Energetics and Maximum Distances

Ulrich Brose, Caitlin Wilkinson, Remo Ryser, Myriam R. Hirt, Alexander Dyer
article en
1 citations

Abstract

Dispersal is a fundamental process driving many ecological patterns. During transfer, species often make large-scale displacements resulting in significant energy losses with implications for fitness and survival, however generalising these losses across different taxonomic groups is challenging. We developed a bioenergetic dispersal model based on fundamental processes derived from species traits. By balancing energy storage and energy loss during active dispersal, our mechanistic model can quantify energy expenditures depending on landscape configuration and the species in focus. Moreover, it can be used to predict the maximum dispersal capacity of animals, which we compare with recorded maximum dispersal distances (n = 1571). Due to its foundation in bioenergetics it can easily be integrated into various ecological models, such as food-web and meta-community models. Furthermore, as dispersal is integral to ecological research, the quantification of dispersal capacities provides valuable insight into landscape connectivity, species persistence, and distribution patterns with implications for conservation research.

Ecology LettersVol. 28(2)
University of Bern (CH), German Centre for Integrative Biodiversity Research (DE), Friedrich Schiller University Jena (DE)
Deutsche Forschungsgemeinschaft, Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig
Affordable and clean energy
Openalex Percentile: Top 17%
Species Distribution and Climate Change
1.84
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