干旱区生态环境知识资源中心(Arid): Understanding shallow soil moisture variation in the data-scarce area and its relationship with climate change by GLDAS data

Arid

DOI	10.1371/journal.pone.0217020
	Understanding shallow soil moisture variation in the data-scarce area and its relationship with climate change by GLDAS data
	Zuo, Jingping 1,2; Xu, Jianhua 1,2; Li, Weihong3 ; Yang, Dongyang 1,2
通讯作者	Xu, Jianhua
来源期刊	PLOS ONE
ISSN	1932-6203
出版年	2019
卷号	14 期号:5
英文摘要	Quantitatively evaluating the spatiotemporal variation of soil moisture (SM) and its causes can help us to understand regional eco-hydrological processes. However, the complicated geographical environment and the scarce observation data make it difficult to evaluate SM in Northwest China. Selecting the Tarim River Basin (TRB) as a typical representative of the data-scarce area in Northwest China, we conducted an integrated approach to quantitatively assess the spatiotemporal variation of shallow soil moisture (SSM) and its responses to climate change by gathering the earth system data product. Results show that the low-value of SSM distributes in Taklamakan Desert while the high-value basically distributes in the Pamirs and the southern foothill of Tianshan Mountains, where the land types are mostly forest, grassland, and farmland. Annual average SSM of these three land types present a significant increasing trend during the study period. SM at 0-10 cm of all land types are positively correlated to precipitation in spring and autumn, and SM at 0-10 cm in the forest, grassland, and farmland are positively correlated with temperature in winter. SSM presents in-phase relation with precipitation whereas it presents anti-phase relation with temperature, with the significant resonance periods about 6-8 years and 2-3 years which mainly distribute from 1970s to early 1990s and 1960s respectively. The time lags of SSM relative to temperature change are longer than its lags relative to precipitation change, and the lags vary from different land types.
类型	Article
语种	英语
国家	Peoples R China
开放获取类型	Green Published, Green Submitted, gold
收录类别	SCI-E
WOS记录号	WOS:000468607400036
WOS关键词	TARIM RIVER-BASIN ; WATER-RESOURCES ; XINJIANG ; RUNOFF ; IMPACT ; CHINA
WOS类目	Multidisciplinary Sciences
WOS研究方向	Science & Technology - Other Topics
来源机构	中国科学院新疆生态与地理研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/218107
作者单位	1.East China Normal Univ, Minist Educ, Key Lab Geog Informat Sci, Shanghai, Peoples R China; 2.East China Normal Univ, Res Ctr East West Cooperat China, Shanghai, Peoples R China; 3.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi, Peoples R China
推荐引用方式 GB/T 7714	Zuo, Jingping,Xu, Jianhua,Li, Weihong,et al. Understanding shallow soil moisture variation in the data-scarce area and its relationship with climate change by GLDAS data[J]. 中国科学院新疆生态与地理研究所,2019,14(5).
APA	Zuo, Jingping,Xu, Jianhua,Li, Weihong,&Yang, Dongyang.(2019).Understanding shallow soil moisture variation in the data-scarce area and its relationship with climate change by GLDAS data.PLOS ONE,14(5).
MLA	Zuo, Jingping,et al."Understanding shallow soil moisture variation in the data-scarce area and its relationship with climate change by GLDAS data".PLOS ONE 14.5(2019).