气候变化领域集成服务门户(CCPortal): Mapping groundwater-dependent ecosystems in arid Central Asia: Implications for controlling regional land degradation

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DOI	10.1016/j.scitotenv.2021.149027
	Mapping groundwater-dependent ecosystems in arid Central Asia: Implications for controlling regional land degradation
	Liu, Chan; Liu, Hu; Yu, Yang; Zhao, Wenzhi; Zhang, Zhao; Guo, Li; Yetemen, Omer
通讯作者	Liu, H ; Zhao, WZ (通讯作者)，Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Peoples R China.
发表日期	2021
ISSN	0048-9697
EISSN	1879-1026
卷号	797
英文摘要	Groundwater-dependent ecosystems (GDEs) exist all over the world, especially in water-limited regions. To achieve better water management, it is necessary to map and identify GDEs. Central Asia (CA) is one of the most arid regions in the mid-latitudes and one of the major regions with shallow groundwater tables. However, the role of groundwater in the impacts of climate change and regional anthropogenic activities on environmental risks, especially regional desertification, is inadequately understood due to the limited available research on GDEs. In the present study, a remote sensing-based method was used for mapping GDEs in regional CA, and three means-overlay analysis, correlation analysis, and the water balance method-were adopted to validate the accuracy of the mapping outcomes. Our results indicated that: 1) GDEs were concentrated around large lakes and in central Kazakhstan (between 46 degrees N and 50 degrees N latitudes), and areas Very Likely and Likely to be GDEs accounted for 36.89%, and 28.85% of the total natural vegetation areas, respectively; 2) at the watershed scale, the Sarysu Basin had the largest proportion (94.02% of the area) of potential GDEs while the Ysyk-Kol Basin had the lowest proportion (17.84%); 3) all the three validation methods indicated a good performance for our GDE mapping results. We concluded that the remote sensing-based GDE identification method can be considered a potential approach for mapping GDEs regionally. Better recognition of relationships among groundwater availability, ecosystem health and groundwater management policies should be developed by conducting further studies, to protect GDEs and to prevent regional land degradation. (c) 2021 Elsevier B.V. All rights reserved.
关键词	FUNCTIONAL METHODOLOGY CLIMATE-CHANGE WATER STORAGE VEGETATION DYNAMICS DROUGHT DESERTIFICATION PERFORMANCE PHENOLOGY SATELLITE
英文关键词	Groundwater-dependent ecosystems; Central Asia; Desertification; Remote sensing; Groundwater depth
语种	英语
WOS研究方向	Environmental Sciences & Ecology
WOS类目	Environmental Sciences
WOS记录号	WOS:000701204400008
来源期刊	SCIENCE OF THE TOTAL ENVIRONMENT
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/254408
作者单位	[Liu, Chan; Liu, Hu; Zhao, Wenzhi] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Peoples R China; [Liu, Chan; Liu, Hu; Zhao, Wenzhi] Chinese Ecosyst Res Network, Linze Inland River Basin Res Stn, Lanzhou 730000, Peoples R China; [Liu, Chan] Univ Chinese Acad Sci, Beijing 100029, Peoples R China; [Yu, Yang] Beijing Forestry Univ, Sch Soil & Water Conservat, Beijing 100038, Peoples R China; [Zhang, Zhao] N Dakota State Univ, Dept Agr & Biosyst Engn, Fargo, ND 58102 USA; [Guo, Li] Sichuan Univ, Coll Water Resource & Hydropower, State Key Lab Hydraul & Mt River Engn, Chengdu 610000, Peoples R China; [Yetemen, Omer] Istanbul Tech Univ, Eurasia Inst Earth Sci, TR-34469 Istanbul, Turkey
推荐引用方式 GB/T 7714	Liu, Chan,Liu, Hu,Yu, Yang,et al. Mapping groundwater-dependent ecosystems in arid Central Asia: Implications for controlling regional land degradation[J]. 中国科学院西北生态环境资源研究院,2021,797.
APA	Liu, Chan.,Liu, Hu.,Yu, Yang.,Zhao, Wenzhi.,Zhang, Zhao.,...&Yetemen, Omer.(2021).Mapping groundwater-dependent ecosystems in arid Central Asia: Implications for controlling regional land degradation.SCIENCE OF THE TOTAL ENVIRONMENT,797.
MLA	Liu, Chan,et al."Mapping groundwater-dependent ecosystems in arid Central Asia: Implications for controlling regional land degradation".SCIENCE OF THE TOTAL ENVIRONMENT 797(2021).