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Comparing management strategies for conserving communities of climate-threatened species with a stochastic metacommunity model
Many species are shifting their ranges to keep pace with climate change, but habitat fragmentation and limited dispersal could impede these range shifts. In the case of climate-vulnerable foundation species such as tropical reef corals and temperate forest trees, such limitations might put entire co...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9237742/ https://www.ncbi.nlm.nih.gov/pubmed/35757886 http://dx.doi.org/10.1098/rstb.2021.0380 |
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author | Backus, Gregory A. Huang, Yansong Baskett, Marissa L. |
author_facet | Backus, Gregory A. Huang, Yansong Baskett, Marissa L. |
author_sort | Backus, Gregory A. |
collection | PubMed |
description | Many species are shifting their ranges to keep pace with climate change, but habitat fragmentation and limited dispersal could impede these range shifts. In the case of climate-vulnerable foundation species such as tropical reef corals and temperate forest trees, such limitations might put entire communities at risk of extinction. Restoring connectivity through corridors, stepping-stones or enhanced quality of existing patches could prevent the extinction of several species, but dispersal-limited species might not benefit if other species block their dispersal. Alternatively, managers might relocate vulnerable species between habitats through assisted migration, but this is generally a species-by-species approach. To evaluate the relative efficacy of these strategies, we simulated the climate-tracking of species in randomized competitive metacommunities with alternative management interventions. We found that corridors and assisted migration were the most effective strategies at reducing extinction. Assisted migration was especially effective at reducing the extinction likelihood for short-dispersing species, but it often required moving several species repeatedly. Assisted migration was more effective at reducing extinction in environments with higher stochasticity, and corridors were more effective at reducing extinction in environments with lower stochasticity. We discuss the application of these approaches to an array of systems ranging from tropical corals to temperate forests. This article is part of the theme issue ‘Ecological complexity and the biosphere: the next 30 years’. |
format | Online Article Text |
id | pubmed-9237742 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-92377422022-07-05 Comparing management strategies for conserving communities of climate-threatened species with a stochastic metacommunity model Backus, Gregory A. Huang, Yansong Baskett, Marissa L. Philos Trans R Soc Lond B Biol Sci Articles Many species are shifting their ranges to keep pace with climate change, but habitat fragmentation and limited dispersal could impede these range shifts. In the case of climate-vulnerable foundation species such as tropical reef corals and temperate forest trees, such limitations might put entire communities at risk of extinction. Restoring connectivity through corridors, stepping-stones or enhanced quality of existing patches could prevent the extinction of several species, but dispersal-limited species might not benefit if other species block their dispersal. Alternatively, managers might relocate vulnerable species between habitats through assisted migration, but this is generally a species-by-species approach. To evaluate the relative efficacy of these strategies, we simulated the climate-tracking of species in randomized competitive metacommunities with alternative management interventions. We found that corridors and assisted migration were the most effective strategies at reducing extinction. Assisted migration was especially effective at reducing the extinction likelihood for short-dispersing species, but it often required moving several species repeatedly. Assisted migration was more effective at reducing extinction in environments with higher stochasticity, and corridors were more effective at reducing extinction in environments with lower stochasticity. We discuss the application of these approaches to an array of systems ranging from tropical corals to temperate forests. This article is part of the theme issue ‘Ecological complexity and the biosphere: the next 30 years’. The Royal Society 2022-08-15 2022-06-27 /pmc/articles/PMC9237742/ /pubmed/35757886 http://dx.doi.org/10.1098/rstb.2021.0380 Text en © 2022 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Articles Backus, Gregory A. Huang, Yansong Baskett, Marissa L. Comparing management strategies for conserving communities of climate-threatened species with a stochastic metacommunity model |
title | Comparing management strategies for conserving communities of climate-threatened species with a stochastic metacommunity model |
title_full | Comparing management strategies for conserving communities of climate-threatened species with a stochastic metacommunity model |
title_fullStr | Comparing management strategies for conserving communities of climate-threatened species with a stochastic metacommunity model |
title_full_unstemmed | Comparing management strategies for conserving communities of climate-threatened species with a stochastic metacommunity model |
title_short | Comparing management strategies for conserving communities of climate-threatened species with a stochastic metacommunity model |
title_sort | comparing management strategies for conserving communities of climate-threatened species with a stochastic metacommunity model |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9237742/ https://www.ncbi.nlm.nih.gov/pubmed/35757886 http://dx.doi.org/10.1098/rstb.2021.0380 |
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