干旱区生态环境知识资源中心(Arid): Trends, turning points, and driving forces of desertification in global arid land based on the segmental trend method and SHAP model

Arid

DOI	10.1080/15481603.2024.2367806
	Trends, turning points, and driving forces of desertification in global arid land based on the segmental trend method and SHAP model
	Meng, Xiaoyu; Li, Shengyu; Akhmadi, Khaulenbek; He, Panxing; Dong, Guanpeng
通讯作者	Dong, GP
来源期刊	GISCIENCE & REMOTE SENSING
ISSN	1548-1603
EISSN	1943-7226
出版年	2024
卷号	61 期号:1
英文摘要	Desertification is a form of land degradation observed in arid, semiarid, and dry subhumid ecosystems. Assessing the global trends and drivers of desertification in arid land is crucial for developing effective land restoration policies and mitigating desertification. We aimed to evaluate global segmental trends in desertification in arid land using Moderate Resolution Imaging Spectroradiometer images from 2000 to 2022. By constructing a robust MSAVI-Albedo Desertification Distance Index (DDI), we assessed the segmented development characteristics of desertification on Google Earth Engine. Additionally, we employed the SHapley Additive exPlanations (SHAP) model and machine learning methods to analyze the individual and interactive driving mechanisms of desertification. The results indicated an overall reduction in desertification, with approximately 23.21 million km2 (39% of the global arid region area) exhibiting negative trends in DDI. Approximately 31% of the land area showed a DDI of -0.002/y. Precipitation was consistently the primary factor influencing desertification, with an average SHAP value of 11.42. Secondary influencing factors included potential evapotranspiration, soil moisture, and vapor pressure differences. Notably, the coupling between precipitation and soil moisture exhibited the most significant impact on the desertification process, with SHAP coupling values of approximately 3.28 and 5.06 before and after the DDI turning point, respectively. These findings provide new insights into desertification on a global scale and offer valuable scientific support for promoting effective prevention and control measures.
英文关键词	Desertification Turning point SHAP Google Earth Engine Arid land
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:001255688500001
WOS关键词	VEGETATION CHANGE ; DYNAMICS ; COVER ; SOUTH
WOS类目	Geography, Physical ; Remote Sensing
WOS研究方向	Physical Geography ; Remote Sensing
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/403965
推荐引用方式 GB/T 7714	Meng, Xiaoyu,Li, Shengyu,Akhmadi, Khaulenbek,et al. Trends, turning points, and driving forces of desertification in global arid land based on the segmental trend method and SHAP model[J],2024,61(1).
APA	Meng, Xiaoyu,Li, Shengyu,Akhmadi, Khaulenbek,He, Panxing,&Dong, Guanpeng.(2024).Trends, turning points, and driving forces of desertification in global arid land based on the segmental trend method and SHAP model.GISCIENCE & REMOTE SENSING,61(1).
MLA	Meng, Xiaoyu,et al."Trends, turning points, and driving forces of desertification in global arid land based on the segmental trend method and SHAP model".GISCIENCE & REMOTE SENSING 61.1(2024).