气候变化领域集成服务门户(CCPortal): Spatial Heterogeneity and Driving Factors of Soil Moisture in Alpine Desert Using the Geographical Detector Method

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DOI	10.3390/w13192652
	Spatial Heterogeneity and Driving Factors of Soil Moisture in Alpine Desert Using the Geographical Detector Method
	Zhang, Zhiwei; Yin, Huiyan; Zhao, Ying; Wang, Shaoping; Han, Jiahua; Yu, Bo; Xue, Jie
通讯作者	Xue, J (通讯作者)，Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China. ; Xue, J (通讯作者)，Cele Natl Stn Observat & Res Desert Grassland Eco, Cele, Hetian 848300, Peoples R China. ; Xue, J (通讯作者)，Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
发表日期	2021
EISSN	2073-4441
卷号	13 期号:19
英文摘要	Soil moisture is a vital factor affecting the hydrological cycle and the evolution of soil and geomorphology, determining the formation and development of the vegetation ecosystem. The previous studies mainly focused on the effects of different land use patterns and vegetation types on soil hydrological changes worldwide. However, the spatial heterogeneity and driving factors of soil gravimetric water content in alpine regions are seldom studied. On the basis of soil sample collection, combined with geostatistical analysis and the geographical detector method, this study examines the spatial heterogeneity and driving factors of soil gravimetric water content in the typical alpine valley desert of the Qinghai-Tibet Plateau. Results show that the average value of soil gravimetric water content at different depths ranges from 3.68% to 7.84%. The optimal theoretical models of soil gravimetric water content in 0-50 cm layers of the dune are different. The nugget coefficient shows that the soil gravimetric water content in the dune has a strong spatial correlation at different depths, and the range of the optimal theoretical model of semi-variance function is 31.23-63.38 m, which is much larger than the 15 m spacing used for sampling. The ranking of the influence of each evaluation factor on the alpine dune is elevation > slope > location > vegetation > aspect. The interaction detection of factors indicates that an interaction exists among evaluation factors, and no factors are independent of one another. In each soil layer of 0-50 cm, the interaction among evaluation factors has a two-factor enhancement and a nonlinear enhancement effect on soil gravimetric water content. This study contributes to the understanding of spatial heterogeneity and driving factors of soil moisture in alpine deserts, and guidance of artificial vegetation restoration and soil structure analysis of different desert types in alpine cold desert regions.
关键词	WATER-CONTENT SPATIOTEMPORAL VARIABILITY LOESS PLATEAU LAND-COVER QUANTIFICATION VEGETATION PATTERNS ECOTONE MEADOW SCALES
英文关键词	geographical detector; alpine dunes; spatial heterogeneity; soil moisture; Qinghai-Tibet Plateau
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Water Resources
WOS类目	Environmental Sciences ; Water Resources
WOS记录号	WOS:000709619900001
来源期刊	WATER
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/254986
作者单位	[Zhang, Zhiwei; Yin, Huiyan; Han, Jiahua; Yu, Bo] Tibet Agr & Anim Husb Univ, Coll Resources & Environm Sci, Nyingchi 860000, Peoples R China; [Zhang, Zhiwei; Yin, Huiyan; Han, Jiahua; Yu, Bo] Tibet Agr & Anim Husb Univ, Key Lab Forest Ecol Tibet Plateau, Nyingchi 860000, Peoples R China; [Zhao, Ying] Ludong Univ, Coll Resources & Environm Engn, Yantai 264025, Peoples R China; [Wang, Shaoping] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Cryospher Sci, Lanzhou 730000, Peoples R China; [Xue, Jie] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China; [Xue, Jie] Cele Natl Stn Observat & Res Desert Grassland Eco, Cele, Hetian 848300, Peoples R China; [Xue, Jie] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Zhiwei,Yin, Huiyan,Zhao, Ying,et al. Spatial Heterogeneity and Driving Factors of Soil Moisture in Alpine Desert Using the Geographical Detector Method[J]. 中国科学院西北生态环境资源研究院,2021,13(19).
APA	Zhang, Zhiwei.,Yin, Huiyan.,Zhao, Ying.,Wang, Shaoping.,Han, Jiahua.,...&Xue, Jie.(2021).Spatial Heterogeneity and Driving Factors of Soil Moisture in Alpine Desert Using the Geographical Detector Method.WATER,13(19).
MLA	Zhang, Zhiwei,et al."Spatial Heterogeneity and Driving Factors of Soil Moisture in Alpine Desert Using the Geographical Detector Method".WATER 13.19(2021).