Heterogeneous dispersal networks to improve biodiversity science.
ecological networks
graph theory
metacommunity
spatial ecology
species movement
Journal
Trends in ecology & evolution
ISSN: 1872-8383
Titre abrégé: Trends Ecol Evol
Pays: England
ID NLM: 8805125
Informations de publication
Date de publication:
03 2024
03 2024
Historique:
received:
19
06
2023
revised:
29
09
2023
accepted:
05
10
2023
medline:
8
3
2024
pubmed:
28
10
2023
entrez:
27
10
2023
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 37891075
pii: S0169-5347(23)00267-7
doi: 10.1016/j.tree.2023.10.002
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
229-238Informations de copyright
Copyright © 2023 Elsevier Ltd. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of interests The authors declare no competing interests.