Yuxia Hu , Jirui Gong , Siqi Zhang , Weiyuan Zhang , Xuede Dong , Guisen Yang , Chenyi Yan , Yingying Liu
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Although warming and increased precipitation promoted vegetation carbon accumulation, this increase was offset by a more substantial loss of soil organic carbon, the entire ecosystem (e<sub>c</sub>) decreased at an average rate of 84.21 g C m<sup>−2</sup> yr<sup>−1</sup>, mainly due to enhanced soil carbon loss. Precipitation significantly affects the e<sub>c</sub> in arid and semi-arid river basin; human activities and the natural environment also directly or indirectly influenced the evolution of e<sub>c</sub>. Our hybrid modeling framework enables spatially explicit assessment of carbon dynamics and provides a transferable approach for management, and guide nature-based climate solutions in fragile ecosystems.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"193 ","pages":"Article 106625"},"PeriodicalIF":4.6000,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Monitoring carbon dynamics and driving forces in arid and semi-arid river basin: A case study of China's West Liao river Basin\",\"authors\":\"Yuxia Hu , Jirui Gong , Siqi Zhang , Weiyuan Zhang , Xuede Dong , Guisen Yang , Chenyi Yan , Yingying Liu\",\"doi\":\"10.1016/j.envsoft.2025.106625\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Accurate estimation of ecosystem carbon stocks and their dynamics and exploration of their drivers will contribute to the sustainable management of carbon neutrality. We combined field measurements in China's West Liao River Basin with the improved Terrestrial Ecosystem Regional (TECO-R) model to quantify the carbon pools and carbon turnover time from 2000 to 2021. Ecosystem carbon density averaged 3.65 kg C m<sup>−2</sup>; soil carbon pools accounted for about 80 %. Forests are major contributors to carbon sinks. The turnover times in the leaf, root, and soil carbon pools and the whole ecosystem were 0.54, 5.26, 42.76, and 23.31 years, respectively, depended on elevation and vegetation type. Although warming and increased precipitation promoted vegetation carbon accumulation, this increase was offset by a more substantial loss of soil organic carbon, the entire ecosystem (e<sub>c</sub>) decreased at an average rate of 84.21 g C m<sup>−2</sup> yr<sup>−1</sup>, mainly due to enhanced soil carbon loss. Precipitation significantly affects the e<sub>c</sub> in arid and semi-arid river basin; human activities and the natural environment also directly or indirectly influenced the evolution of e<sub>c</sub>. Our hybrid modeling framework enables spatially explicit assessment of carbon dynamics and provides a transferable approach for management, and guide nature-based climate solutions in fragile ecosystems.</div></div>\",\"PeriodicalId\":310,\"journal\":{\"name\":\"Environmental Modelling & Software\",\"volume\":\"193 \",\"pages\":\"Article 106625\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2025-07-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Modelling & Software\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1364815225003093\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Modelling & Software","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1364815225003093","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
摘要
准确估算生态系统碳储量及其动态并探索其驱动因素将有助于碳中和的可持续管理。利用改良的陆地生态系统区域(TECO-R)模型对2000 - 2021年中国西辽河流域的碳库和碳周转时间进行了量化。生态系统碳密度平均为3.65 kg C m−2;土壤碳库约占80%。森林是碳汇的主要贡献者。不同海拔高度和植被类型的土壤碳库和整个生态系统的周转时间分别为0.54、5.26、42.76和23.31 a。虽然气候变暖和降水增加促进了植被碳的积累,但这种增加被更大量的土壤有机碳损失所抵消,整个生态系统(ec)以平均84.21 g C m−2 yr−1的速度减少,主要是由于土壤碳损失增加。降水对干旱半干旱流域生态系统影响显著;人类活动和自然环境也直接或间接地影响着生态系统的演化。我们的混合建模框架能够在空间上明确地评估碳动态,为管理提供可转移的方法,并指导脆弱生态系统中基于自然的气候解决方案。
Monitoring carbon dynamics and driving forces in arid and semi-arid river basin: A case study of China's West Liao river Basin
Accurate estimation of ecosystem carbon stocks and their dynamics and exploration of their drivers will contribute to the sustainable management of carbon neutrality. We combined field measurements in China's West Liao River Basin with the improved Terrestrial Ecosystem Regional (TECO-R) model to quantify the carbon pools and carbon turnover time from 2000 to 2021. Ecosystem carbon density averaged 3.65 kg C m−2; soil carbon pools accounted for about 80 %. Forests are major contributors to carbon sinks. The turnover times in the leaf, root, and soil carbon pools and the whole ecosystem were 0.54, 5.26, 42.76, and 23.31 years, respectively, depended on elevation and vegetation type. Although warming and increased precipitation promoted vegetation carbon accumulation, this increase was offset by a more substantial loss of soil organic carbon, the entire ecosystem (ec) decreased at an average rate of 84.21 g C m−2 yr−1, mainly due to enhanced soil carbon loss. Precipitation significantly affects the ec in arid and semi-arid river basin; human activities and the natural environment also directly or indirectly influenced the evolution of ec. Our hybrid modeling framework enables spatially explicit assessment of carbon dynamics and provides a transferable approach for management, and guide nature-based climate solutions in fragile ecosystems.
期刊介绍:
Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.