Abstract
With the rapid advancement of urbanization and industrialization, intense land utilization in mountainous areas has led to ecological and environmental issues, and also causing a gradual degradation of ecosystem services. Investigating the spatiotemporal characteristics of human activities on land use and ecosystem services in mountainous areas holds significant practical importance for local ecological conservation and land management. This study utilizes human activity and land use models to evaluate the complex relationship between humans and land in the northeastern Guizhou, employs the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) and the Modified Universal Soil Loss Equation (RUSLE) models to conduct an in-depth investigation into the spatiotemporal distribution of soil conservation (SC), water yield (WY), carbon sequestration (CS), habitat quality (HQ), and landscape aesthetics (LA). Besides, we utilized the Pearson correlation coefficient and spatial bivariate models to scrutinize the spatial heterogeneity and interactions among these ecosystem services. The results revealed a significant escalation in the intensity of human activity and land use within the study area, with values rising from 0.483 and 316 in 2000 to 0.695 and 351 in 2020, respectively. For 2000–2020, the added value of SC and WY experienced a change of 1.179 t‧hm−2 and 118.503 mm, respectively, while the CS, HQ, and LA have largely remained stable. The spatial distribution of ecosystem service functions exhibited distinct patterns of trade-offs and synergies. The ecosystem's multifunctional benefits were predominantly concentrated in the northern sector of the study area, with the maximum migration distance of class IV hotspots recorded at 70.431 km. Over time, the impact of human activities and land use on ecosystem services has been escalating. Studying the interactions between human activities and land use and their impact on ecosystem services can help us develop land use policies and ecological management strategies.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have