The Response of Carbon Storage to Multi-Objective Land Use/Cover Spatial Optimization and Vulnerability Assessment

Yuncheng Jiang, Bin Ouyang and Zhigang Yan ()
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Yuncheng Jiang: School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
Bin Ouyang: School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
Zhigang Yan: School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China

Sustainability, 2024, vol. 16, issue 6, 1-27

Abstract: The dynamic changes in land use/cover (LULC) significantly influence carbon storage, and assessing the vulnerability of carbon storage services in different basins is crucial for a comprehensive understanding of the impacts of human activities on ecosystems. The objective of this study is to propose a framework for optimizing LULC, simulating carbon storage, and assessing vulnerability by integrating the MOP, PLUS, and InVEST models. The results show that forests play a crucial role in enhancing carbon storage services in the Yangtze River Basin (YRB). Carbon storage in the upper reaches of the YRB is on the rise, counteracting the decrease in carbon storage caused by the expansion of built-up land. However, in the middle and lower reaches of the YRB, LULC has a negative impact on ecosystem carbon storage services. Under natural development scenarios, carbon storage is projected to decrease by 68.84 × 10 6 tons, leading to increased vulnerability of ecosystem carbon storage services. Under the scenario of ecological and economic balance, carbon storage is expected to increase by 97 × 10 6 tons. In the future, while restricting built-up land expansion, emphasis should be placed on expanding forest areas to more effectively enhance ecosystem services in basins.

Keywords: optimization–simulation assessment; land use/cover change; vulnerability; multi-objective optimization; carbon storage (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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