Modeling the carbon dynamics of ecosystem in a typical permafrost area.
Climate change poses mounting threats to fragile alpine ecosystem worldwide. Quantifying changes in carbon stocks in response to the shifting climate was important for developing climate change mitigation and adaptation strategies. This study utilized a process-based land model (Community Land Model...
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ftpubmed:38750735 2024-06-09T07:48:59+00:00 Modeling the carbon dynamics of ecosystem in a typical permafrost area. Wang, Yusheng Yu, Deyong Li, Jingwen Huang, Ting 2024 May 13 https://doi.org/10.1016/j.scitotenv.2024.173204 https://pubmed.ncbi.nlm.nih.gov/38750735 eng eng Elsevier Science https://doi.org/10.1016/j.scitotenv.2024.173204 https://pubmed.ncbi.nlm.nih.gov/38750735 Copyright © 2024. Published by Elsevier B.V. Sci Total Environ ISSN:1879-1026 Carbon stocks Community Land Model Driving factors Permafrost Journal Article 2024 ftpubmed https://doi.org/10.1016/j.scitotenv.2024.173204 2024-05-16T16:03:00Z Climate change poses mounting threats to fragile alpine ecosystem worldwide. Quantifying changes in carbon stocks in response to the shifting climate was important for developing climate change mitigation and adaptation strategies. This study utilized a process-based land model (Community Land Model 5.0) to analyze spatiotemporal variations in vegetation carbon stock (VCS) and soil organic carbon stock (SOCS) across a typical permafrost area - Qinghai Province, China, from 2000 to 2018. Multiple potential factors influencing carbon stocks dynamics were analyzed, including climate, vegetation, soil hydrothermal status, and soil properties. The results indicated that provincial vegetation carbon storage was 0.22 PgC (0.32 kg/m2) and soil organic carbon pool was 9.12 PgC (13.03 kg/m2). VCS showed a mild increase while SOCS exhibited fluctuating uptrends during this period. Higher carbon stocks were observed in forest (21.74 kg/m2) and alpine meadow (18.08 kg/m2) compared to alpine steppes (9.63 kg/m2). Over 90 % of the carbon was stored in the 0-30 cm topsoil layer. The contribution rates of soil carbon in the 30-60 cm and 60-100 cm soil layers were significantly small, despite increasing stocks across all depths. Solar radiation, temperature, and NDVI emerged as primary influential factors for overall carbon stocks, exhibiting noticeable spatial variability. For SOCS at different depths, the normalized differential vegetation index (NDVI) was the foremost predictor of landscape-level carbon distributions, which explained 52.8 % of SOCS variability in shallow layers (0-30 cm) but dropped to just 12.97 % at the depth of 30-60 cm. However, the dominance of NDVI diminished along the soil depth gradients, superseded by radiation and precipitation. Additionally, with an increase in soil depth, the influence of inherent soil properties also increased. This simulation provided crucial insights for landscape-scale carbon responses to climate change, and offered valuable reference for other climate change-sensitive areas in terms of ecosystem carbon management. Article in Journal/Newspaper permafrost PubMed Central (PMC) Science of The Total Environment 934 173204 |
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Open Polar |
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PubMed Central (PMC) |
op_collection_id |
ftpubmed |
language |
English |
topic |
Carbon stocks Community Land Model Driving factors Permafrost |
spellingShingle |
Carbon stocks Community Land Model Driving factors Permafrost Wang, Yusheng Yu, Deyong Li, Jingwen Huang, Ting Modeling the carbon dynamics of ecosystem in a typical permafrost area. |
topic_facet |
Carbon stocks Community Land Model Driving factors Permafrost |
description |
Climate change poses mounting threats to fragile alpine ecosystem worldwide. Quantifying changes in carbon stocks in response to the shifting climate was important for developing climate change mitigation and adaptation strategies. This study utilized a process-based land model (Community Land Model 5.0) to analyze spatiotemporal variations in vegetation carbon stock (VCS) and soil organic carbon stock (SOCS) across a typical permafrost area - Qinghai Province, China, from 2000 to 2018. Multiple potential factors influencing carbon stocks dynamics were analyzed, including climate, vegetation, soil hydrothermal status, and soil properties. The results indicated that provincial vegetation carbon storage was 0.22 PgC (0.32 kg/m2) and soil organic carbon pool was 9.12 PgC (13.03 kg/m2). VCS showed a mild increase while SOCS exhibited fluctuating uptrends during this period. Higher carbon stocks were observed in forest (21.74 kg/m2) and alpine meadow (18.08 kg/m2) compared to alpine steppes (9.63 kg/m2). Over 90 % of the carbon was stored in the 0-30 cm topsoil layer. The contribution rates of soil carbon in the 30-60 cm and 60-100 cm soil layers were significantly small, despite increasing stocks across all depths. Solar radiation, temperature, and NDVI emerged as primary influential factors for overall carbon stocks, exhibiting noticeable spatial variability. For SOCS at different depths, the normalized differential vegetation index (NDVI) was the foremost predictor of landscape-level carbon distributions, which explained 52.8 % of SOCS variability in shallow layers (0-30 cm) but dropped to just 12.97 % at the depth of 30-60 cm. However, the dominance of NDVI diminished along the soil depth gradients, superseded by radiation and precipitation. Additionally, with an increase in soil depth, the influence of inherent soil properties also increased. This simulation provided crucial insights for landscape-scale carbon responses to climate change, and offered valuable reference for other climate change-sensitive areas in terms of ecosystem carbon management. |
format |
Article in Journal/Newspaper |
author |
Wang, Yusheng Yu, Deyong Li, Jingwen Huang, Ting |
author_facet |
Wang, Yusheng Yu, Deyong Li, Jingwen Huang, Ting |
author_sort |
Wang, Yusheng |
title |
Modeling the carbon dynamics of ecosystem in a typical permafrost area. |
title_short |
Modeling the carbon dynamics of ecosystem in a typical permafrost area. |
title_full |
Modeling the carbon dynamics of ecosystem in a typical permafrost area. |
title_fullStr |
Modeling the carbon dynamics of ecosystem in a typical permafrost area. |
title_full_unstemmed |
Modeling the carbon dynamics of ecosystem in a typical permafrost area. |
title_sort |
modeling the carbon dynamics of ecosystem in a typical permafrost area. |
publisher |
Elsevier Science |
publishDate |
2024 |
url |
https://doi.org/10.1016/j.scitotenv.2024.173204 https://pubmed.ncbi.nlm.nih.gov/38750735 |
genre |
permafrost |
genre_facet |
permafrost |
op_source |
Sci Total Environ ISSN:1879-1026 |
op_relation |
https://doi.org/10.1016/j.scitotenv.2024.173204 https://pubmed.ncbi.nlm.nih.gov/38750735 |
op_rights |
Copyright © 2024. Published by Elsevier B.V. |
op_doi |
https://doi.org/10.1016/j.scitotenv.2024.173204 |
container_title |
Science of The Total Environment |
container_volume |
934 |
container_start_page |
173204 |
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1801381030463012864 |