Assessing the Land Use-Carbon Storage Nexus Along G318: A Coupled SD-PLUS-InVEST Model Approach for Spatiotemporal Coordination Optimization

Xiaotian Xing, Qi Wang, Fei Meng, Pudong Liu (), Li Huang and Wei Zhuo
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Xiaotian Xing: College of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China
Qi Wang: College of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China
Fei Meng: College of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China
Pudong Liu: College of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China
Li Huang: College of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China
Wei Zhuo: School of Geography and Tourism, Anhui Normal University, Wuhu 241002, China

Land, 2025, vol. 14, issue 10, 1-20

Abstract: Revealing the coordination relationship between land use/land cover (LULC) and carbon storage (CS) under diverse climate scenarios is crucial for climate change adaptation in topographically complex regions. This study developed an integrated framework combining the System Dynamics (SD) model, Patch-generating Land Use Simulation (PLUS) model, and Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model, enabling a closed-loop analysis of driving forces, spatial simulation, and ecological feedback. This study systematically assessed LULC evolution and ecosystem CS along China’s National Highway 318 (G318) from 2000 to 2020, and projected LULC and CS under three SSP-RCP scenarios (SSP1-1.9, SSP2-4.5, SSP5-8.5) for 2030. Results show the following: (1) Historical LULC change was dominated by rapid urban expansion, cropland loss, and nonlinear grassland fluctuation, exerting strong impacts on ecosystem dynamics. Future scenario simulations revealed distinct thresholds of ecological pressure. (2) Regional CS exhibited a decline–recovery pattern during 2000–2020, with all 2030 scenarios projecting CS reduction, although ecological-priority pathways could mitigate losses. (3) Coordination between land-use intensity and CS improved gradually, with SSP2-4.5 emerging as the optimal strategy for balancing development and ecological sustainability. Overall, the coupled SD-PLUS-InVEST framework provides a practical tool for policymakers to optimize land use patterns and enhance CS in complex terrains.

Keywords: land cover change; carbon storage; SSP-RCP scenario; coupling coordination development (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2025
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