Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

[Spatiotemporal Changes and Driving Factors of Ecological Quality in the Jinsha River Basin Based on RSEI].

Authors: Peng, Zhang; Shi, Qi; Jin-Lin, Lai; Mao-Yuan, Wang; Yan-Rui, Guo; Lu-Xia, Ma; Shao-Dong, Liu;

[Spatiotemporal Changes and Driving Factors of Ecological Quality in the Jinsha River Basin Based on RSEI].

Abstract

The Jinsha River Basin, upstream of the Yangtze River, one of the critical regions for ecological protection in China, plays an important role for ecosystem stability and economic development in downstream areas, as well as in the whole Yangtze River Basin. Due to the ecosystem vulnerability, it is highly susceptible to natural factors and human activities. In order to better understand the spatiotemporal changes and trends of ecological quality and its driving factors, Theil-Sen trend analysis and the Hurst index were employed to assess the remote sensing ecological index (RSEI) from 2000 to 2023. Additionally, the XGBoost model combined with the SHAP algorithm was used to analyze the driving forces for the spatial heterogeneity of RSEI. The results showed that: ① The ecological quality of the Jinsha River Basin decreased gradually from south to north, the southern region exhibited relatively high ecological quality, and the northern and central regions had lower quality. In particular, the areas with high-altitude had significantly lower RSEI due to harsh climate and sparse vegetation. ② From 2000 to 2023, the areas with significant improvements in ecological quality accounted for 31.52%, primarily located in the northern part of Yushu Tibetan Autonomous Prefecture in Qinghai, Liangshan Prefecture in Sichuan, and Lijiang City in Yunnan. Conversely, the areas with significant degradation accounted for 3.36%, mainly concentrated in the central part of Ganzi Prefecture in Sichuan. In the future, 54.79% of the total area faces the risk of ecological degradation. ③ The spatial heterogeneity of ecological quality was mainly determined by natural factors, altitude and precipitation played the most influential role compared to other factors. The above conclusions would provide a scientific foundation for regional ecological protection and sustainable development.

Related Organizations
  • BIP!
    Impact byBIP!
    citations
    The total number of citations received by all articles of the researcher of interest.
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
The total number of citations received by all articles of the researcher of interest.
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!