Abstract
Conserving biodiversity often requires deciding which sites to prioritise for protection. Predicting the impact of habitat loss is a major challenge, however, since impacts can be distant from the perturbation in both space and time. Here we study the long-term impacts of habitat loss in a mechanistic metacommunity model. We find that site area is a poor predictor of long-term, regional-scale extinctions following localised perturbation. Knowledge of the compositional distinctness (average between-site Bray-Curtis dissimilarity) of the removed community can markedly improve the prediction of impacts on regional assemblages, even when biotic responses play out at substantial spatial or temporal distance from the initial perturbation. Fitting the model to two empirical datasets, we show that this conclusions holds in the empirically relevant parameter range. Our results robustly demonstrate that site area alone is not sufficient to gauge conservation priorities; analysis of compositional distinctness permits improved prioritisation at low cost.
Funder
Natural Environment Research Council
Publisher
Public Library of Science (PLoS)
Subject
Computational Theory and Mathematics,Cellular and Molecular Neuroscience,Genetics,Molecular Biology,Ecology,Modeling and Simulation,Ecology, Evolution, Behavior and Systematics
Reference35 articles.
1. Reid WV, et al. Millennium ecosystem assessment; 2005.
2. Díaz SM, Settele J, Brondízio E, Ngo H, Guèze M, Agard J, et al. The global assessment report on biodiversity and ecosystem services: Summary for policy makers. IPBES. 2019.
3. Habitat destruction and the extinction debt;D Tilman;Nature,1994
4. Critical thresholds associated with habitat loss: a review of the concepts, evidence, and applications;TL Swift;Biological reviews,2010
5. Extinction debt in source-sink metacommunities;N Mouquet;PLoS One,2011
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