Arid
DOI10.1002/jpln.201700081
Estimating effective soil depth at regional scales: Legacy maps versus environmental covariates
Zhang, Wentai1; Hu, Guiqing1; Sheng, Jiandong1; Weindorf, David C.2; Wu, Hongqi1; Xuan, Junwei1; Yan, An1; Gu, Zhujun3
通讯作者Sheng, Jiandong
来源期刊JOURNAL OF PLANT NUTRITION AND SOIL SCIENCE
ISSN1436-8730
EISSN1522-2624
出版年2018
卷号181期号:2页码:167-176
英文摘要

Soil depth reflects the quantity and ecosystem service functions of soil resources. However, there is no universal standard to measure soil depth at present, and digital soil mapping approaches for predicting soil depth at the regional scale remain immature. Using observation of soil profile morphology, we compared the soil depth nomenclatures from the World Reference Base for Soil Resources, Chinese Soil Taxonomy, and Soil Taxonomy. For this study, shallow soils were defined as those with an effective soil depth < 100 cm. Based on legacy data and field soil survey, the spatial distribution of shallow soils in Xinjiang, China, and the main controlling environmental factors were explored. Results showed that shallow soils in Xinjiang are mainly distributed in high altitude regions such as the Tian Mountains. At the regional scale, significant correlations were observed between soil depth and climate factors, as well as between soil depth and vegetation fractional coverage. Contrary to previous conclusions at small spatial scales, terrain attributes could not explain soil depth variation at the regional scale. This study addressed knowledge gaps on soil depth prediction at regional scales while elucidating climate-vegetation-soil coevolution.


英文关键词digital soil mapping multiple linear regression soil landscape coevolution soil profile morphology soil thickness
类型Article
语种英语
国家Peoples R China ; USA
收录类别SCI-E
WOS记录号WOS:000430180500003
WOS关键词GROUND-PENETRATING RADAR ; SPATIAL PREDICTION ; TERRAIN ATTRIBUTES ; ORGANIC-CARBON ; HILLY REGION ; ARID REGION ; VEGETATION ; IRAN ; VARIABILITY ; TOPOGRAPHY
WOS类目Agronomy ; Plant Sciences ; Soil Science
WOS研究方向Agriculture ; Plant Sciences
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/211247
作者单位1.Xinjiang Agr Univ, Coll Grassland & Environm Sci, Xinjiang Key Lab Soil & Plant Ecol Proc, Urumqi 830052, Peoples R China;
2.Texas Tech Univ, Coll Agr Sci & Nat Resources, Dept Plant & Soil Sci, Lubbock, TX 79409 USA;
3.Nanjing Xiaozhuang Univ, Sch Environm Sci, Nanjing 211171, Jiangsu, Peoples R China
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GB/T 7714
Zhang, Wentai,Hu, Guiqing,Sheng, Jiandong,et al. Estimating effective soil depth at regional scales: Legacy maps versus environmental covariates[J],2018,181(2):167-176.
APA Zhang, Wentai.,Hu, Guiqing.,Sheng, Jiandong.,Weindorf, David C..,Wu, Hongqi.,...&Gu, Zhujun.(2018).Estimating effective soil depth at regional scales: Legacy maps versus environmental covariates.JOURNAL OF PLANT NUTRITION AND SOIL SCIENCE,181(2),167-176.
MLA Zhang, Wentai,et al."Estimating effective soil depth at regional scales: Legacy maps versus environmental covariates".JOURNAL OF PLANT NUTRITION AND SOIL SCIENCE 181.2(2018):167-176.
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