Land cover change in global drylands: A review

被引:49
作者
Wang, Hui [1 ,2 ]
Liu, Yanxu [2 ]
Wang, Yijia [2 ]
Yao, Ying [2 ]
Wang, Chenxu [2 ]
机构
[1] Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Peoples R China
[2] Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
基金
中国国家自然科学基金;
关键词
Land coverclassification; Spatiotemporal characteristic; Climate change; Human activity; Ecological effect; Global dataset; SOIL CARBON STOCKS; CLIMATE-CHANGE; LOESS PLATEAU; SOCIOECONOMIC DRIVERS; VEGETATION DYNAMICS; ECOSYSTEM SERVICES; USE/COVER CHANGES; URBAN EXPANSION; WATER-RESOURCES; DRIVING FACTORS;
D O I
10.1016/j.scitotenv.2022.160943
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
As a sensitive region, identifying land cover change in drylands is critical to understanding global environmental change. However, the current findings related to land cover change in drylands are not uniform due to differences in data and methods among studies. We compared and judged the spatial and temporal characteristics, driving forces, and ecological effects by identifying the main findings of land cover change in drylands at global and regional scales (especially in China) to strengthen the overall understanding of land cover change in drylands. Four main points were obtained. First, while most studies found that drylands were experiencing vegetation greening, some evidence showed decreases in vegetation and large increases in bare land due to inconsistencies in the datasets and the study phases. Second, the dominant factors affecting land cover change in drylands are precipitation, agricultural activities, and urban expansion. Third, the impact of land cover change on the water cycle, especially the impact of afforestation on water resources in drylands, is of great concern. Finally, drylands experience severe land degradation and require dataset matching (classification standards, resolution, etc.) to quantify the impact of human activities on land cover.
引用
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页数:13
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