Temporal-spatial Evolution and Driving Mechanism for Ecosystem Health Service Based on GD-MGWR-XGBOOT-SEM model: A Case Study in Guangxi Region

With the expansion of urbanization in China, ecological environment are becoming more and more prominent. To explore the driving factors and regulation ways of ecosystem health has become a hot issue in realizing regional sustainable development. This paper adopted the improved vigor-organization-resilience-service (VORS) model to diagnose the regional ecosystem health status from 2000 to 2020 in Guangxi and find out the main factors affecting the ecosystem health. Considering the influence factors (including vegetation, terrain, climate and human activities), the mechanism of driving factors on regional ecosystem health was analyzed by using geographic detector (GD), multiscale geographically weighted regression model (MGWR), XGBOOTS-SHAP model. The results found that the spatial distribution of ecosystem health was characterized by low values in the central region, and high values in the northern and eastern regions with higher elevations from 2000 to 2020. The spatial agglomeration evolution changed from agglomeration to dispersion, and the regional urbanization distribution and evolution were consistent. The interaction of driving factors on ecosystem health and vegetation was enhanced significantly, while the interaction of climate factors was relatively weak. And most of the impacts of human activities on ecological environment are negative. Vegetation factor has a dominant positive effect on ecosystem health, while human activity elements have a weak negative effect on ecosystem health. Meanwhile, climate factors are complex and changeable, and their impacts on ecosystem health are changeable, which leads to corresponding changes in other factors. This study provides scientific reference for the harmonious and sustainable development of man and nature in southern China.