Spatiotemporal evolution effects of habitat quality with the conservation policies in the Upper Yangtze River, China

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.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-02-18
DOI
https://doi.org/10.1038/s41598-025-89565-1
Citations
14
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
15.47

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatiotemporal evolution effects of habitat quality with the conservation policies in the Upper Yangtze River, China

Peihong Jia, Yuxin Zhu, Yang Liu
14 citations
Scientific Reports
Land Use and Ecosystem Services
15.47
article

Spatiotemporal evolution effects of habitat quality with the conservation policies in the Upper Yangtze River, China

Peihong Jia, Yuxin Zhu, Yang Liu
article en
14 citations

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.

Scientific ReportsVol. 15(1)
Hainan University (CN), Department of Ecology and Environment of Hainan Province (CN)
National Natural Science Foundation of China
Life in Land
Openalex Percentile: Top 1%
Land Use and Ecosystem Services
15.47
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.