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A comprehensive assessment of mangrove species and carbon stock on Pohnpei, Micronesia

Mangrove forests are the most important ecosystems on Pohnpei Island, Federated States of Micronesia, as the island communities of the central Pacific rely on the forests for many essential services including protection from sea-level rise that is occurring at a greater pace than the global average....

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Autores principales: Woltz, Victoria L., Peneva-Reed, Elitsa I., Zhu, Zhiliang, Bullock, Eric L., MacKenzie, Richard A., Apwong, Maybeleen, Krauss, Ken W., Gesch, Dean B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9302747/
https://www.ncbi.nlm.nih.gov/pubmed/35862406
http://dx.doi.org/10.1371/journal.pone.0271589
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author Woltz, Victoria L.
Peneva-Reed, Elitsa I.
Zhu, Zhiliang
Bullock, Eric L.
MacKenzie, Richard A.
Apwong, Maybeleen
Krauss, Ken W.
Gesch, Dean B.
author_facet Woltz, Victoria L.
Peneva-Reed, Elitsa I.
Zhu, Zhiliang
Bullock, Eric L.
MacKenzie, Richard A.
Apwong, Maybeleen
Krauss, Ken W.
Gesch, Dean B.
author_sort Woltz, Victoria L.
collection PubMed
description Mangrove forests are the most important ecosystems on Pohnpei Island, Federated States of Micronesia, as the island communities of the central Pacific rely on the forests for many essential services including protection from sea-level rise that is occurring at a greater pace than the global average. As part of a multi-component assessment to evaluate vulnerabilities of mangrove forests on Pohnpei, mangrove forests were mapped at two points in time: 1983 and 2018. In 2018, the island had 6,426 ha of mangrove forest. Change analysis indicated a slight (0.76%) increase of mangrove area between 1983 and 2018, contrasting with global mangrove area declines. Forest structure and aboveground carbon (AGC) stocks were inventoried using a systematic sampling of field survey plots and extrapolated to the island using k-nearest neighbor and random forest species models. A gridded or wall to wall approach is suggested when possible for defining carbon stocks of a large area due to high variability seen in our data. The k-nearest neighbor model performed better than random forest models to map species dominance in these forests. Mean AGC was 167 ± 11 MgC ha(-1), which is greater than the global average of mangroves (115 ± 7 MgC ha(-1)) but within their global range (37–255 MgC ha(-1)) Kauffman et al. (2020). In 2018, Pohnpei mangroves contained over 1.07 million MgC in AGC pools. By assigning the mean AGC stock per species per area to the map, carbon stock distributions were visualized spatially, allowing future conservation efforts to be directed to carbon dense stands.
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spelling pubmed-93027472022-07-22 A comprehensive assessment of mangrove species and carbon stock on Pohnpei, Micronesia Woltz, Victoria L. Peneva-Reed, Elitsa I. Zhu, Zhiliang Bullock, Eric L. MacKenzie, Richard A. Apwong, Maybeleen Krauss, Ken W. Gesch, Dean B. PLoS One Research Article Mangrove forests are the most important ecosystems on Pohnpei Island, Federated States of Micronesia, as the island communities of the central Pacific rely on the forests for many essential services including protection from sea-level rise that is occurring at a greater pace than the global average. As part of a multi-component assessment to evaluate vulnerabilities of mangrove forests on Pohnpei, mangrove forests were mapped at two points in time: 1983 and 2018. In 2018, the island had 6,426 ha of mangrove forest. Change analysis indicated a slight (0.76%) increase of mangrove area between 1983 and 2018, contrasting with global mangrove area declines. Forest structure and aboveground carbon (AGC) stocks were inventoried using a systematic sampling of field survey plots and extrapolated to the island using k-nearest neighbor and random forest species models. A gridded or wall to wall approach is suggested when possible for defining carbon stocks of a large area due to high variability seen in our data. The k-nearest neighbor model performed better than random forest models to map species dominance in these forests. Mean AGC was 167 ± 11 MgC ha(-1), which is greater than the global average of mangroves (115 ± 7 MgC ha(-1)) but within their global range (37–255 MgC ha(-1)) Kauffman et al. (2020). In 2018, Pohnpei mangroves contained over 1.07 million MgC in AGC pools. By assigning the mean AGC stock per species per area to the map, carbon stock distributions were visualized spatially, allowing future conservation efforts to be directed to carbon dense stands. Public Library of Science 2022-07-21 /pmc/articles/PMC9302747/ /pubmed/35862406 http://dx.doi.org/10.1371/journal.pone.0271589 Text en https://creativecommons.org/publicdomain/zero/1.0/This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Woltz, Victoria L.
Peneva-Reed, Elitsa I.
Zhu, Zhiliang
Bullock, Eric L.
MacKenzie, Richard A.
Apwong, Maybeleen
Krauss, Ken W.
Gesch, Dean B.
A comprehensive assessment of mangrove species and carbon stock on Pohnpei, Micronesia
title A comprehensive assessment of mangrove species and carbon stock on Pohnpei, Micronesia
title_full A comprehensive assessment of mangrove species and carbon stock on Pohnpei, Micronesia
title_fullStr A comprehensive assessment of mangrove species and carbon stock on Pohnpei, Micronesia
title_full_unstemmed A comprehensive assessment of mangrove species and carbon stock on Pohnpei, Micronesia
title_short A comprehensive assessment of mangrove species and carbon stock on Pohnpei, Micronesia
title_sort comprehensive assessment of mangrove species and carbon stock on pohnpei, micronesia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9302747/
https://www.ncbi.nlm.nih.gov/pubmed/35862406
http://dx.doi.org/10.1371/journal.pone.0271589
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