Spatial pattern and driving mechanisms of dryland landscape ecological risk: Insights from an integrated geographic detector and machine learning model

Spatial pattern and driving mechanisms of dryland landscape ecological risk: Insights from an integrated geographic detector and machine learning model

Drylands are among the most vulnerable and sensitive regions to global climate and land use changes. As one of the largest inland arid river basins, the Tarim River Basin exhibits diverse land use patterns that have exacerbated ecological risks, degraded the environment, and heightened ecosystem vul...

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Bibliographic Details
Main Authors: Ayiturxun Shamuxi, Bo Han, Xiaobin Jin, Paruke Wusimanjiang, Abudureheman Abudukerimu, Qianli Chen, Hongtao Zhou, Min Gong
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Ecological Indicators
Subjects:
Land use
Landscape ecological risk
Ecologically vulnerable area
Geographic detector
Tarim River Basin
Online Access:http://www.sciencedirect.com/science/article/pii/S1470160X25002365
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