Detailed Explanation of Fine Factors in Multidimensional Evaluation Framework and Exploration of Sustainable Development Paths—An Ecological Security Perspective

Abstract

Ecological security (ES), as a crucial tool for assessing habitat quality in specific regions, has become a focal point in environmental assessment. Under the intertwined impacts of human activities, economic development, and sustainability strategies, the ecological security evolution process in arid zones lacks quantitative characterization, which is manifested in oversimplified factor impact analysis and insufficient reliability of dynamic trend prediction. This study developed a Multidimensional Geographical Interaction Regression (MGIR) framework, examining the stability of results through multi‐dimensional dynamic weight changes, thereby establishing a general paradigm for ecosystem security assessment in the arid inland areas of Northwest China. Through systematic analysis of spatiotemporal heterogeneity and driving mechanisms in Qinghai Province, this study constructed a comprehensive analytical chain from pattern identification to management strategies. Results showed that: (1) From 2010 to 2020, the proportion of areas with increasing or decreasing ES level was 8.64% and 9.37%; (2) Coordinated development zones decreased from 66.74% in 2010 to 62.34% in 2020; (3) Predictive simulations revealed persistently highest cumulative percentages in high‐level ES frequency; (4) NPP, NDVI, and GDP emerged as dominant driving factors. The MGIR framework enhances trend quantification reliability and factor analysis precision, providing robust support for regional environmental improvement and offering a replicable methodology for similar regions globally.