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Estimating changes of forest carbon storage in China for 70 years (1949–2018)

In the realm of forest resource inventory and monitoring, stand-level biomass carbon models are especially crucial. In China, their importance is underscored as they form the bedrock for estimating national and international forest carbon storage. This study, based on the data from 52,700 permanent...

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Autores principales: Zeng, WeiSheng, Chen, XinYun, Yang, XueYun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558452/
https://www.ncbi.nlm.nih.gov/pubmed/37803150
http://dx.doi.org/10.1038/s41598-023-44097-4
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author Zeng, WeiSheng
Chen, XinYun
Yang, XueYun
author_facet Zeng, WeiSheng
Chen, XinYun
Yang, XueYun
author_sort Zeng, WeiSheng
collection PubMed
description In the realm of forest resource inventory and monitoring, stand-level biomass carbon models are especially crucial. In China, their importance is underscored as they form the bedrock for estimating national and international forest carbon storage. This study, based on the data from 52,700 permanent plots in the 9th National Forest Inventory (NFI) of China, was directed towards developing these models. After computing biomass and carbon storage per hectare using specific tree models for 34 species groups, we devised robust volume-derived biomass and carbon storage models for 20 forest types. The application of these models and historical data reveals notably a decline in China's forest carbon storage to 4.90Pg by the late 1970s due to aggressive forest exploitation. However, subsequent conservation and afforestation campaigns have affected a recovery, culminating in a storage of 8.69Pg by the 9th NFI. Over the past 40 years, China's forest carbon storage has surged by 3.79Pg, split between natural forests (2.25Pg) and planted forests (1.54Pg). In benchmarking against three pre-existing models, we discerned discernible biases, underscoring the need for larger modeling sample sizes. Overall, our models stand as a monumental stride in accurately gauging forest carbon storage fluctuations in China, both regionally and nationally.
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spelling pubmed-105584522023-10-08 Estimating changes of forest carbon storage in China for 70 years (1949–2018) Zeng, WeiSheng Chen, XinYun Yang, XueYun Sci Rep Article In the realm of forest resource inventory and monitoring, stand-level biomass carbon models are especially crucial. In China, their importance is underscored as they form the bedrock for estimating national and international forest carbon storage. This study, based on the data from 52,700 permanent plots in the 9th National Forest Inventory (NFI) of China, was directed towards developing these models. After computing biomass and carbon storage per hectare using specific tree models for 34 species groups, we devised robust volume-derived biomass and carbon storage models for 20 forest types. The application of these models and historical data reveals notably a decline in China's forest carbon storage to 4.90Pg by the late 1970s due to aggressive forest exploitation. However, subsequent conservation and afforestation campaigns have affected a recovery, culminating in a storage of 8.69Pg by the 9th NFI. Over the past 40 years, China's forest carbon storage has surged by 3.79Pg, split between natural forests (2.25Pg) and planted forests (1.54Pg). In benchmarking against three pre-existing models, we discerned discernible biases, underscoring the need for larger modeling sample sizes. Overall, our models stand as a monumental stride in accurately gauging forest carbon storage fluctuations in China, both regionally and nationally. Nature Publishing Group UK 2023-10-06 /pmc/articles/PMC10558452/ /pubmed/37803150 http://dx.doi.org/10.1038/s41598-023-44097-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Zeng, WeiSheng
Chen, XinYun
Yang, XueYun
Estimating changes of forest carbon storage in China for 70 years (1949–2018)
title Estimating changes of forest carbon storage in China for 70 years (1949–2018)
title_full Estimating changes of forest carbon storage in China for 70 years (1949–2018)
title_fullStr Estimating changes of forest carbon storage in China for 70 years (1949–2018)
title_full_unstemmed Estimating changes of forest carbon storage in China for 70 years (1949–2018)
title_short Estimating changes of forest carbon storage in China for 70 years (1949–2018)
title_sort estimating changes of forest carbon storage in china for 70 years (1949–2018)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558452/
https://www.ncbi.nlm.nih.gov/pubmed/37803150
http://dx.doi.org/10.1038/s41598-023-44097-4
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