Land Use Simulation and Carbon Storage Driving Mechanisms in Resource-Based Regions Under SSP-RCP Scenarios: An Integrated PLUS-InVEST and GWR-SEM Modeling Approach

作者：Tonghui Yu, Mengting Yang, Xinyu Li, Xuan Zhu, Mengru Wang, Jiqiang Niu · 发表于：Land · 年份：2025 · DOI：10.3390/land14112280 · 被引用次数：4 · 研究领域：Land Use and Ecosystem Services、Remote Sensing in Agriculture、Environmental Impact and Sustainability

Amid China’s dual-carbon goals and widening regional disparities, land-use/cover change (LUCC)-induced volatility in carbon storage (CS) has emerged as a binding constraint on emission reduction and the low-carbon transition in resource-based regions. Yet integrated historical-scenario assessments and rigorous evidence on spatial-heterogeneity mechanisms remain limited, which hampers targeted spatial governance. Using Shanxi Province, a resource-based province, as the study area, this study develops a coupled PLUS-InVEST framework under SSP-RCP scenarios. It integrates spatial autocorrelation, geographically weighted regression (GWR), and structural equation modeling (SEM) to characterize spatiotemporal responses of CS to LUCC and to identify underlying drivers. The results indicate that: (1) Regional CS follows an inverted U-shaped trajectory, initially increasing due to ecological restoration projects and subsequently declining owing to industrial development and urban expansion; (2) By 2030, forestland expansion under SSP126 is projected to enhance CS, whereas accelerated urbanization under SSP585 is expected to intensify CS losses; (3) Significant spatial clustering of CS remains consistent from historical periods to future projections, underscoring its sensitivity to topography, vegetation patterns, and human activities; and (4) CS is jointly shaped by natural and anthropogenic drivers, with DEM and slope providing stable protection, while population density and transpor...