Heterogeneous dispersal networks to improve biodiversity science

This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1016/j.tree.2023.10.002. This is version 4 of this Preprint.

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Paul Savary , Jean-Philippe Lessard , Pedro R. Peres-Neto


Dispersal plays a key role in shaping spatial patterns of biodiversity, yet its spatial heterogeneity is often overlooked in biodiversity analyses and management strategies. Properly parametrized heterogeneous dispersal networks capture the complex interplay between landscape structure and species-specific dispersal capacities. This heterogeneity, however, is recurrently neglected when studying the processes underlying biodiversity variation. To address this gap, we introduce a conceptual framework detailing the fundamental processes driving dispersal heterogeneity and its effects on biodiversity dynamics. We propose methods to parametrize heterogeneous dispersal networks, facilitating their integration into commonly used quantitative frameworks for biodiversity analyses. By considering the architecture of heterogeneous dispersal networks, we demonstrate their critical role in guiding biodiversity management strategies.




Biodiversity, Ecology and Evolutionary Biology, Life Sciences, Population Biology, Terrestrial and Aquatic Ecology


graph theory, metacommunity, spatial ecology, ecological networks, Species movement


Published: 2023-06-21 09:02

Last Updated: 2023-10-06 07:40

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CC-BY Attribution-NonCommercial 4.0 International

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Conflict of interest statement:
We do not have any conflicts of interest to declare.

Data and Code Availability Statement:
Not applicable