Joint analysis of species and genetic variation to quantify the role of dispersal and environmental constraints in community turnover
Author(s)
Type
Journal Article
Abstract
Spatial turnover of biological communities is determined by both dispersal and environmental constraints. However, we lack quantitative predictions about how these factors interact and influence turnover across genealogical scales. In this study, we have implemented a predictive framework based on approximate Bayesian computation (ABC) to quantify the signature of dispersal and environmental constraints in community turnover. First, we simulated the distribution of haplotypes, intra-specific lineages and species in biological communities under different strengths of dispersal and environmental constraints. Our simulations show that spatial turnover rate is invariant across genealogical scales when dispersal limitation determines the species ranges. However, when environmental constraint limits species ranges, spatial turnover rates vary across genealogical scales. These simulations were used in an ABC framework to quantify the role of dispersal and environmental constraints in 16 empirical biological communities sampled from local to continental scales, including several groups of insects (both aquatic and terrestrial), molluscs and bats. In seven datasets, the observed genealogical invariance of spatial turnover, assessed with distance–decay curves, suggests a dispersal-limited scenario. In the remaining datasets, the variance in distance–decay curves across genealogical scales was best explained by various combinations of dispersal and environmental constraints. Our study illustrates how modelling spatial turnover at multiple genealogical scales (species and intraspecific lineages) provides relevant insights into the relative role of dispersal and environmental constraints in community turnover.
Date Issued
2022-05
Date Acceptance
2022-01-29
Citation
Ecography: pattern and diversity in ecology, 2022, 2022 (5), pp.1-13
ISSN
0906-7590
Publisher
Wiley Open Access
Start Page
1
End Page
13
Journal / Book Title
Ecography: pattern and diversity in ecology
Volume
2022
Issue
5
Copyright Statement
© 2022 The Authors. Ecography published by John Wiley & Sons Ltd on behalf of Nordic Society Oikos
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
License URL
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000765756800001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Life Sciences & Biomedicine
Biodiversity Conservation
Ecology
Biodiversity & Conservation
Environmental Sciences & Ecology
beta diversity
community turnover
dispersal limitation
ecological niche
genetic diversity
phylogenetic scaling
BETA-DIVERSITY
DISTANCE DECAY
PATTERNS
SIMILARITY
EVOLUTION
NICHE
Publication Status
Published
Article Number
ARTN e05808
Date Publish Online
2022-03-08