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Updated: May 27, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
Spatiotemporal evolution effects of habitat quality with the conservation policies in the Upper Yangtze River, China
Yuxin Zhu1,2, Peihong Jia3, Yang Liu4
1Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, School of Environmental Science and Engineering, Hainan University, Haikou, 570228, China.
Abstract:
As a critical ecological barrier, the upper Yangtze River (UYR) holds strategic importance for national ecological security. Understanding its habitat quality dynamics is essential for evaluating conservation efforts. However, there is a relative lack of long-term monitoring studies on habitat quality in this region, and the influencing factors remain insufficiently explored. Using the InVEST model, this study quantified the spatiotemporal evolution of habitat quality in the UYR from 1990 to 2020. Spatial autocorrelation analysis revealed distinct clustering patterns, and spatial regression models identified driving mechanisms. Results showed that habitat quality experienced a sharp decline (1990-2000), especially in the Jinsha River basin, followed by recovery due to the Natural Forest Protection (1998) and Grain-for-Green (2000) programs. High-quality areas clustered in the upper Jinsha and Min-Tuo basins, while low-quality areas were concentrated in urbanized regions of the Sichuan Basin and Jialing River basin. Elevation and slope indirectly improved habitat quality by promoting vegetation, whereas temperature, PM2.5, population density, and GDP had negative effects. Although ecological policies alleviated pressures, urbanized areas require further restoration. This study provides critical insights into conservation policy effectiveness and supports zonal ecological management in the UYR.
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