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Remote sensing assessment of shrub encroachment and its driving mechanisms in semi-arid grasslands

文献类型： 外文期刊

作者： Chen, Ang 1 ; Zhang, Min 1 ; Xu, Cong 3 ; Xing, Xiaoyu 1 ; Yang, Dong 1 ; Xu, Bin 4 ; Yang, Xiuchun 1 ;

作者机构： 1.Beijing Forestry Univ, Sch Grassland Sci, Beijing, Peoples R China

2.Peking Univ, Inst Remote Sensing & Geog Informat Syst, Sch Earth & Space Sci, Beijing, Peoples R China

3.Univ Canterbury, New Zealand Sch Forestry, Christchurch, New Zealand

4.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Key Lab Agriinformat, Minist Agr, Beijing, Peoples R China

关键词： Shrub encroachment; driving mechanism; phenology metrics; geostatistical model; geographic causal model

期刊名称：GISCIENCE & REMOTE SENSING （ 影响因子：6.9； 五年影响因子：7.3 ）

ISSN： 1548-1603

年卷期： 2025 年 62 卷 1 期

页码：

收录情况： SCI

摘要： Influenced by climate change and human activities, shrub encroachment in global arid and semi-arid grasslands profoundly affects ecosystem functions and livestock farming. Remote sensing technology is crucial for evaluating shrub encroachment across spatial and temporal scales, providing a broader perspective for understanding its driving mechanisms. The shrub encroachment dominated by Caragana vegetation in the Inner Mongolia grasslands is typical both in China and globally. However, the lack of remote sensing studies hinders a deeper understanding of the current status and causes of shrub encroachment in this region. This study focuses on the semi-arid grasslands in central Inner Mongolia, estimating shrub coverage based on vegetation indices, SAR backscatter coefficients, phenological metrics, and the extreme gradient boosting algorithm. A new Remote Sensing-based Shrub Encroachment Index (RSSEI) was established to assess the stage of shrub encroachment. The complex driving mechanisms of shrub encroachment were innovatively elucidated through the integrated application of Geographical Detector (GD) and Geographical Convergent Cross Mapping (GCCM). The results show that the shrub coverage estimation model achieved high accuracy (R2 = 0.70, RMSE = 4.0%, MAE = 2.7%), with the SHapley Additive exPlanations (SHAP) value indicating the significant role of phenological metrics in estimating shrub coverage. The RSSEI was found to grade shrub encroachment stages more accurately, with overall accuracy reaching 74.6%. Moderate to severe encroached grasslands dominate the study area, exhibiting an east-high and west-low spatial distribution. GD and GCCM indicated that moisture-related factors, including precipitation, soil water content, and vapor pressure deficit, were the main driving forces of shrub encroachment. And shrub encroachment has a significant causal influence on 2 m-height air temperature. This study provides an improving technical reference for remote sensing observation of shrub encroachment in semi-arid grasslands and is also valuable for understanding the formation causes and feedback effects of shrub encroachment in these areas.

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