Identifying Driving Factors of Basin Ecosystem Service Value Based on Local Bivariate Spatial Correlation Patterns

Ecosystem service value (ESV) is a crucial indicator for evaluating ecosystem health, and identifying its spatial driving factors will help to provide scientific decision support ecological protection restoration. This study took the Liuxi River Basin in China as research object used equivalent method estimate regional ESV. In process of using Geodetector model (GDM), area was spatially stratified by local bivariate correlation pattern mine potential The results show that: (1) From 2005 2018, total services showed fluctuating increasing trend. ESV had high-value aggregation northeastern mountainous areas with high green space coverage river distance accessibility low-value central southwestern urban frequent human activities. Its heterogeneity patterns were statistical significance. (2) distribution characteristics affected various varying degrees. order their degree influence on per capita > slope proportion rural settlements population. (3) Compared previous study, stratification employing more fully considers autocorrelation heterogeneity. It effectively captured explanatory power factors. can new ideas capturing mechanisms insights into sustainable development environment other regions similar worldwide.