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A Coupled InVEST-PLUS Model for the Spatiotemporal Evolution of Ecosystem Carbon Storage and Multi-Scenario Prediction Analysis

文献类型：期刊论文

作者Zhang, Yan1,2,3; Liao, Xiaoyong1,3; Sun, Dongqi3
刊名LAND
出版日期2024-04-01
卷号13期号:4页码:24
关键词land use change carbon storage InVEST model PLUS model simulation prediction
DOI10.3390/land13040509
英文摘要In investigating the spatiotemporal patterns and spatial attributes of carbon storage across terrestrial ecosystems, there is a significant focus on improving regional carbon sequestration capabilities. Such endeavors are crucial for balancing land development with ecological preservation and promoting sustainable, low-carbon urban growth. This study employs the integrated InVEST-PLUS model to assess and predict changes in ecosystem carbon storage under various land use scenarios within the Chengdu urban cluster, a vital region in Central and Western China, by 2050. The results indicate the following. (1) A linkage between land use dynamics and ecosystem carbon storage changes: over two decades, a 7.5% decrease in arable land was observed alongside a 12.3% increase in urban areas, leading to an 8.2% net reduction in ecosystem carbon storage, equating to a loss of 1.6 million tons of carbon. (2) Carbon storage variations under four scenarios-natural development (NDS), urban development (UDS), farmland protection (FPS), and ecological protection (EPS)-highlight the impact of differing developmental and conservation policies on Chengdu's carbon reserves. Projections until 2050 suggest a further 5% reduction in carbon storage under NDS without intervention, while EPS could potentially decrease carbon storage loss by 3%, emphasizing the importance of strategic land use planning and policy. This research provides a solid theoretical foundation for exploring the relationship between land use and carbon storage dynamics further. In summary, the findings highlight the necessity of incorporating ecological considerations into urban planning strategies. The InVEST-PLUS model not only sheds light on current challenges but also presents a method for forecasting and mitigating urbanization effects on ecosystem services, thus supporting sustainable development goals.
WOS关键词LAND-USE ; URBAN-GROWTH ; COVER CHANGE ; SOIL CARBON ; SERVICES ; SIMULATION ; PATTERNS ; IMPACTS ; EXPANSION ; DRIVERS
资助项目National Natural Science Foundation of China
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:001210062400001
出版者MDPI
资助机构National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/204918]  
专题区域可持续发展分析与模拟院重点实验室_外文论文
通讯作者Sun, Dongqi
作者单位1.Beijing Key Lab Environm Damage Assessment & Remed, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Yan,Liao, Xiaoyong,Sun, Dongqi. A Coupled InVEST-PLUS Model for the Spatiotemporal Evolution of Ecosystem Carbon Storage and Multi-Scenario Prediction Analysis[J]. LAND,2024,13(4):24.
APA Zhang, Yan,Liao, Xiaoyong,&Sun, Dongqi.(2024).A Coupled InVEST-PLUS Model for the Spatiotemporal Evolution of Ecosystem Carbon Storage and Multi-Scenario Prediction Analysis.LAND,13(4),24.
MLA Zhang, Yan,et al."A Coupled InVEST-PLUS Model for the Spatiotemporal Evolution of Ecosystem Carbon Storage and Multi-Scenario Prediction Analysis".LAND 13.4(2024):24.

入库方式： OAI收割

来源：地理科学与资源研究所

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