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Quantifying changes in soil organic carbon density from 1982 to 2020 in Chinese grasslands using a random forest model
China has the second-largest grassland area in the world. Soil organic carbon storage (SOCS) in grasslands plays a critical role in maintaining carbon balance and mitigating climate change, both nationally and globally. Soil organic carbon density (SOCD) is an important indicator of SOCS. Exploring...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10316965/ https://www.ncbi.nlm.nih.gov/pubmed/37404537 http://dx.doi.org/10.3389/fpls.2023.1076902 |
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author | Chen, Jie Biswas, Asim Su, Haohai Cao, Jianjun Hong, Shuyan Wang, Hairu Dong, Xiaogang |
author_facet | Chen, Jie Biswas, Asim Su, Haohai Cao, Jianjun Hong, Shuyan Wang, Hairu Dong, Xiaogang |
author_sort | Chen, Jie |
collection | PubMed |
description | China has the second-largest grassland area in the world. Soil organic carbon storage (SOCS) in grasslands plays a critical role in maintaining carbon balance and mitigating climate change, both nationally and globally. Soil organic carbon density (SOCD) is an important indicator of SOCS. Exploring the spatiotemporal dynamics of SOCD enables policymakers to develop strategies to reduce carbon emissions, thus meeting the goals of “emission peak” in 2030 and “carbon neutrality” in 2060 proposed by the Chinese government. The objective of this study was to quantify the dynamics of SOCD (0–100 cm) in Chinese grasslands from 1982 to 2020 and identify the dominant drivers of SOCD change using a random forest model. The results showed that the mean SOCD in Chinese grasslands was 7.791 kg C m(−2) in 1982 and 8.525 kg C m(−2) in 2020, with a net increase of 0.734 kg C m(−2) across China. The areas with increased SOCD were mainly distributed in the southern (0.411 kg C m(−2)), northwestern (1.439 kg C m(−2)), and Qinghai–Tibetan (0.915 kg C m(−2)) regions, while those with decreased SOCD were mainly found in the northern (0.172 kg C m(−2)) region. Temperature, normalized difference vegetation index, elevation, and wind speed were the dominant factors driving grassland SOCD change, explaining 73.23% of total variation in SOCD. During the study period, grassland SOCS increased in the northwestern region but decreased in the other three regions. Overall, SOCS of Chinese grasslands in 2020 was 22.623 Pg, with a net decrease of 1.158 Pg since 1982. Over the past few decades, the reduction in SOCS caused by grassland degradation may have contributed to soil organic carbon loss and created a negative impact on climate. The results highlight the urgency of strengthening soil carbon management in these grasslands and improving SOCS towards a positive climate impact. |
format | Online Article Text |
id | pubmed-10316965 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103169652023-07-04 Quantifying changes in soil organic carbon density from 1982 to 2020 in Chinese grasslands using a random forest model Chen, Jie Biswas, Asim Su, Haohai Cao, Jianjun Hong, Shuyan Wang, Hairu Dong, Xiaogang Front Plant Sci Plant Science China has the second-largest grassland area in the world. Soil organic carbon storage (SOCS) in grasslands plays a critical role in maintaining carbon balance and mitigating climate change, both nationally and globally. Soil organic carbon density (SOCD) is an important indicator of SOCS. Exploring the spatiotemporal dynamics of SOCD enables policymakers to develop strategies to reduce carbon emissions, thus meeting the goals of “emission peak” in 2030 and “carbon neutrality” in 2060 proposed by the Chinese government. The objective of this study was to quantify the dynamics of SOCD (0–100 cm) in Chinese grasslands from 1982 to 2020 and identify the dominant drivers of SOCD change using a random forest model. The results showed that the mean SOCD in Chinese grasslands was 7.791 kg C m(−2) in 1982 and 8.525 kg C m(−2) in 2020, with a net increase of 0.734 kg C m(−2) across China. The areas with increased SOCD were mainly distributed in the southern (0.411 kg C m(−2)), northwestern (1.439 kg C m(−2)), and Qinghai–Tibetan (0.915 kg C m(−2)) regions, while those with decreased SOCD were mainly found in the northern (0.172 kg C m(−2)) region. Temperature, normalized difference vegetation index, elevation, and wind speed were the dominant factors driving grassland SOCD change, explaining 73.23% of total variation in SOCD. During the study period, grassland SOCS increased in the northwestern region but decreased in the other three regions. Overall, SOCS of Chinese grasslands in 2020 was 22.623 Pg, with a net decrease of 1.158 Pg since 1982. Over the past few decades, the reduction in SOCS caused by grassland degradation may have contributed to soil organic carbon loss and created a negative impact on climate. The results highlight the urgency of strengthening soil carbon management in these grasslands and improving SOCS towards a positive climate impact. Frontiers Media S.A. 2023-05-08 /pmc/articles/PMC10316965/ /pubmed/37404537 http://dx.doi.org/10.3389/fpls.2023.1076902 Text en Copyright © 2023 Chen, Biswas, Su, Cao, Hong, Wang and Dong https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science Chen, Jie Biswas, Asim Su, Haohai Cao, Jianjun Hong, Shuyan Wang, Hairu Dong, Xiaogang Quantifying changes in soil organic carbon density from 1982 to 2020 in Chinese grasslands using a random forest model |
title | Quantifying changes in soil organic carbon density from 1982 to 2020 in Chinese grasslands using a random forest model |
title_full | Quantifying changes in soil organic carbon density from 1982 to 2020 in Chinese grasslands using a random forest model |
title_fullStr | Quantifying changes in soil organic carbon density from 1982 to 2020 in Chinese grasslands using a random forest model |
title_full_unstemmed | Quantifying changes in soil organic carbon density from 1982 to 2020 in Chinese grasslands using a random forest model |
title_short | Quantifying changes in soil organic carbon density from 1982 to 2020 in Chinese grasslands using a random forest model |
title_sort | quantifying changes in soil organic carbon density from 1982 to 2020 in chinese grasslands using a random forest model |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10316965/ https://www.ncbi.nlm.nih.gov/pubmed/37404537 http://dx.doi.org/10.3389/fpls.2023.1076902 |
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