Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1002/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
![]() |
ISSN | 1436-8730 |
EISSN | 1522-2624 |
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 |
推荐引用方式 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. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。