Spatial-temporal Evolution and Driving Factors of Ecological Environment Quality in Weihe River Basin Based on Remote Sensing Ecological Index

As a critical component of northwestern China's ecological security barrier, it is of great significance to comprehensively and accurately grasp the changes of ecological environment quality and its influencing factors in Weihe River Basin, which is important for maintaining ecological security and ensuring sustainable development. Based on the Remote Sensing Ecological Index (RSEI), our study further explores the temporal and spatial evolution law and main driving factors of the ecological environment quality in Weihe River Basin from 2013 to 2023. A combination of analytical techniques, including trend analysis, variability assessment, and spatial interaction modeling, was used to evaluate ecological quality. Our analysed showed that the eco-environmental quality of Weihe River basin is generally fluctuating and rising, and the southern region is better than the northern region. Approximately 68.77% of the basin shows an upward trend, while 31.15% exhibits a decline. The average value of the variation coefficient of RSEI in Weihe River Basin is 0.211, showing a low fluctuation as a whole, and the low fluctuation changes are distributed in mountainous areas such as the Qinling mountains, Qianshan, Guanshan and Ziwuling mountains, mainly in areas with high ecosystem functions and relatively stable community structure. However, future projections suggest potential anti-sustainability trends, and the northern part of Huanxian County in Qingyang City and Jingning County in Ping liang City will face the risk of sustainable ecological environment degradation. Land use patterns were identified as the primary factor influencing spatial ecological variation. The research results of our study can provide actionable insights for formulating targeted ecological conservation strategies in the Weihe River Basin.

Authors

Institutions

Publication Details

Journal
E3S Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/e3sconf/202563002003
Citations
2
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
2.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatial-temporal Evolution and Driving Factors of Ecological Environment Quality in Weihe River Basin Based on Remote Sensing Ecological Index

Mengyue Wu, Yu Li
2 citations
E3S Web of Conferences
Land Use and Ecosystem Services
2.21
article

Spatial-temporal Evolution and Driving Factors of Ecological Environment Quality in Weihe River Basin Based on Remote Sensing Ecological Index

Mengyue Wu, Yu Li
article en
2 citations

Abstract

As a critical component of northwestern China's ecological security barrier, it is of great significance to comprehensively and accurately grasp the changes of ecological environment quality and its influencing factors in Weihe River Basin, which is important for maintaining ecological security and ensuring sustainable development. Based on the Remote Sensing Ecological Index (RSEI), our study further explores the temporal and spatial evolution law and main driving factors of the ecological environment quality in Weihe River Basin from 2013 to 2023. A combination of analytical techniques, including trend analysis, variability assessment, and spatial interaction modeling, was used to evaluate ecological quality. Our analysed showed that the eco-environmental quality of Weihe River basin is generally fluctuating and rising, and the southern region is better than the northern region. Approximately 68.77% of the basin shows an upward trend, while 31.15% exhibits a decline. The average value of the variation coefficient of RSEI in Weihe River Basin is 0.211, showing a low fluctuation as a whole, and the low fluctuation changes are distributed in mountainous areas such as the Qinling mountains, Qianshan, Guanshan and Ziwuling mountains, mainly in areas with high ecosystem functions and relatively stable community structure. However, future projections suggest potential anti-sustainability trends, and the northern part of Huanxian County in Qingyang City and Jingning County in Ping liang City will face the risk of sustainable ecological environment degradation. Land use patterns were identified as the primary factor influencing spatial ecological variation. The research results of our study can provide actionable insights for formulating targeted ecological conservation strategies in the Weihe River Basin.

E3S Web of ConferencesVol. 630
State Key Laboratory of Remote Sensing Science (CN)
Openalex Percentile: Top 13%
Land Use and Ecosystem Services
2.21
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.