Heterogeneous dispersal networks to improve biodiversity science.

Autor: Savary P; Department of Biology, Concordia University, 7141 Sherbrooke Street West, Montreal, QC, H4B 1R6, Canada. Electronic address: psavary@protonmail.com., Lessard JP; Department of Biology, Concordia University, 7141 Sherbrooke Street West, Montreal, QC, H4B 1R6, Canada., Peres-Neto PR; Department of Biology, Concordia University, 7141 Sherbrooke Street West, Montreal, QC, H4B 1R6, Canada.
Jazyk: angličtina
Zdroj: Trends in ecology & evolution [Trends Ecol Evol] 2024 Mar; Vol. 39 (3), pp. 229-238. Date of Electronic Publication: 2023 Oct 25.
DOI: 10.1016/j.tree.2023.10.002
Abstrakt: Dispersal has a key role in shaping spatial patterns of biodiversity, yet its spatial heterogeneity is often overlooked in biodiversity analyses and management strategies. Properly parameterised heterogeneous dispersal networks capture the complex interplay between landscape structure and species-specific dispersal capacities. However, this heterogeneity 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 parameterise 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.
Competing Interests: Declaration of interests The authors declare no competing interests.
(Copyright © 2023 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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