| 摘 要： |
Land degradation is one of the most serious environmental challenges that profoundly affects ecosystem services (ESs), which further threaten ecosystem sustainability. However, few studies have been committed to sufficiently explore the relationship between land degradation neutrality (LDN) and the ES balance of supply and demand sides, as well as their spatial disparities and determinants. To fill the knowledge gaps, this study quantifies land dynamics and ES balance through biophysical models and an expert knowledge matrix, respectively, and explores the spatial determinants through an integrated regression method. From 1990 to 2018, the ecosystem restoration projects in the Loess Plateau substantially reduced soil loss and maintained ES surplus patterns for the entire regional scale, except for individual urban agglomerations, which suffered from ES deficits. Spatial panel models and geographically and temporally weighted regression revealed that the ES balance and soil loss were concurrently determined by socioeconomic indicators, landscape composition, and structure. In addition, the spatial determinants presented remarkable regional heterogeneities and spillover effects depending on individual environmental and socioeconomic conditions, which should be taken into account in landscape monitoring, simulation, forecasting, and planning. Therefore, ecosystem restoration and landscape management should not solely depend on individual indicators in local units, but also rely on integrated frameworks and coordinated collaborations from cross-border areas that appropriately link LDN and ES balance maintenance targets by considering common critical determinants and their external effects. This study enriches the understanding of ecosystem evolution and sustaining ES balance. The findings are expected to further support policy formulations and implementations to address land degradation challenges and enhance ecosystem sustainability. |
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