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Prioritizing forest management actions to benefit marine habitats in data‐poor regions
Land‐use change is considered one of the greatest human threats to marine ecosystems globally. Given limited resources for conservation, we adapted and scaled up a spatially explicit, linked land–sea decision support tool using open access global geospatial data sets and software to inform the prior...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9293477/ https://www.ncbi.nlm.nih.gov/pubmed/34115408 http://dx.doi.org/10.1111/cobi.13792 |
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author | Delevaux, Jade M. S. Stamoulis, Kostantinos A. |
author_facet | Delevaux, Jade M. S. Stamoulis, Kostantinos A. |
author_sort | Delevaux, Jade M. S. |
collection | PubMed |
description | Land‐use change is considered one of the greatest human threats to marine ecosystems globally. Given limited resources for conservation, we adapted and scaled up a spatially explicit, linked land–sea decision support tool using open access global geospatial data sets and software to inform the prioritization of future forest management interventions that can have the greatest benefit on marine conservation in Vanuatu. We leveraged and compared outputs from two global marine habitat maps to prioritize land areas for forest conservation and restoration that can maximize sediment retention, water quality, and healthy coastal/marine ecosystems. By combining the outputs obtained from both marine habitat maps, we incorporated elements unique to each and provided higher confidence in our prioritization results. Regardless of marine habitat data source, prioritized areas were mostly located in watersheds on the windward side of the large high islands, exposed to higher tropical rainfall, upstream from large sections of coral reef and seagrass habitats, and thus vulnerable to human‐driven land use change. Forest protection and restoration in these areas will serve to maintain clean water and healthy, productive habitats through sediment retention, supporting the wellbeing of neighboring communities. The nationwide application of this linked land–sea tool can help managers prioritize watershed‐based management actions based on quantitative synergies and trade‐offs across terrestrial and marine ecosystems in data‐poor regions. The framework developed here will guide the implementation of ridge‐to‐reef management across the Pacific region and beyond. |
format | Online Article Text |
id | pubmed-9293477 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92934772022-07-20 Prioritizing forest management actions to benefit marine habitats in data‐poor regions Delevaux, Jade M. S. Stamoulis, Kostantinos A. Conserv Biol Contributed Papers Land‐use change is considered one of the greatest human threats to marine ecosystems globally. Given limited resources for conservation, we adapted and scaled up a spatially explicit, linked land–sea decision support tool using open access global geospatial data sets and software to inform the prioritization of future forest management interventions that can have the greatest benefit on marine conservation in Vanuatu. We leveraged and compared outputs from two global marine habitat maps to prioritize land areas for forest conservation and restoration that can maximize sediment retention, water quality, and healthy coastal/marine ecosystems. By combining the outputs obtained from both marine habitat maps, we incorporated elements unique to each and provided higher confidence in our prioritization results. Regardless of marine habitat data source, prioritized areas were mostly located in watersheds on the windward side of the large high islands, exposed to higher tropical rainfall, upstream from large sections of coral reef and seagrass habitats, and thus vulnerable to human‐driven land use change. Forest protection and restoration in these areas will serve to maintain clean water and healthy, productive habitats through sediment retention, supporting the wellbeing of neighboring communities. The nationwide application of this linked land–sea tool can help managers prioritize watershed‐based management actions based on quantitative synergies and trade‐offs across terrestrial and marine ecosystems in data‐poor regions. The framework developed here will guide the implementation of ridge‐to‐reef management across the Pacific region and beyond. John Wiley and Sons Inc. 2021-09-29 2022-04 /pmc/articles/PMC9293477/ /pubmed/34115408 http://dx.doi.org/10.1111/cobi.13792 Text en © 2021 The Authors. Conservation Biology published by Wiley Periodicals LLC on behalf of Society for Conservation Biology https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Contributed Papers Delevaux, Jade M. S. Stamoulis, Kostantinos A. Prioritizing forest management actions to benefit marine habitats in data‐poor regions |
title | Prioritizing forest management actions to benefit marine habitats in data‐poor regions |
title_full | Prioritizing forest management actions to benefit marine habitats in data‐poor regions |
title_fullStr | Prioritizing forest management actions to benefit marine habitats in data‐poor regions |
title_full_unstemmed | Prioritizing forest management actions to benefit marine habitats in data‐poor regions |
title_short | Prioritizing forest management actions to benefit marine habitats in data‐poor regions |
title_sort | prioritizing forest management actions to benefit marine habitats in data‐poor regions |
topic | Contributed Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9293477/ https://www.ncbi.nlm.nih.gov/pubmed/34115408 http://dx.doi.org/10.1111/cobi.13792 |
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