Arid
DOI10.1016/j.agwat.2009.04.011
Digital soil mapping to enable classification of the salt-affected soils in desert agro-ecological zones
Sheng, Jiandong1,2; Ma, Lichun1; Jiang, Ping’an2; Li, Baoguo1; Huang, Feng1; Wu, Hongqi2
通讯作者Li, Baoguo
来源期刊AGRICULTURAL WATER MANAGEMENT
ISSN0378-3774
EISSN1873-2283
出版年2010
卷号97期号:12页码:1944-1951
英文摘要

Digital soil mapping is critical when quantifying the relationship between soil types and their associated bio-physical environments. Digital mapping of regional soils affected by salt is essential when monitoring the dynamics of soil salts and planning land development and reclamatation schemes. In this paper, an easy method for digitally mapping salt-affected soils is proposed. This method allows the construction of the quantitative lower categories of soil classification based on Chinese Soil Taxonomy by using a geostatistical method and GIS technology. The data and maps used in this study were collected during a soil survey of salt-affected desert agro-ecological zones in Karamay, Xinjiang Autonomous Region, China. The survey covers an area of 525 km(2) and includes 205 soil profiles. In addition, a classification and indicator system for the salt-affected soil in the region was established and 30 salt-affected soil types were identified. Three key soil classification indicators, viz, soil texture, texture stratification combination and total soil salinity, were selected to enable low-category soil classification. Furthermore, the information regarding climate, vegetation and topographic and geomorphologic features of the region was integrated into the analysis. A GIS-based regional digital soil classification map was then generated for three layers (0-30 cm, 30-60 cm, and 60-100 cm) after the observed soil salt distribution map and soil texture stratification maps were overlaid. This map would be used to draw up the strategies of the salt-affected soils improvement in desert. While compared with the conventional approaches, this new digital soil mapping method has the advantages of being prompt, quantitative, more objective, simpler and easier to update. (C) 2009 Elsevier B.V. All rights reserved.


英文关键词Digital soil mapping Salinization Geostatistics Texture Classification
类型Article
语种英语
国家Peoples R China
收录类别SCI-E
WOS记录号WOS:000284253500002
WOS关键词SPATIAL PREDICTION ; COMPOSITIONAL DATA ; SALINITY ; MODELS
WOS类目Agronomy ; Water Resources
WOS研究方向Agriculture ; Water Resources
来源机构中国农业大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/163072
作者单位1.China Agr Univ, Coll Resources & Environm Sci, Beijing 100094, Peoples R China;
2.Xinjiang Agr Univ, Coll Grassland & Environm Sci, Urumqi 830052, Peoples R China
推荐引用方式
GB/T 7714
Sheng, Jiandong,Ma, Lichun,Jiang, Ping’an,et al. Digital soil mapping to enable classification of the salt-affected soils in desert agro-ecological zones[J]. 中国农业大学,2010,97(12):1944-1951.
APA Sheng, Jiandong,Ma, Lichun,Jiang, Ping’an,Li, Baoguo,Huang, Feng,&Wu, Hongqi.(2010).Digital soil mapping to enable classification of the salt-affected soils in desert agro-ecological zones.AGRICULTURAL WATER MANAGEMENT,97(12),1944-1951.
MLA Sheng, Jiandong,et al."Digital soil mapping to enable classification of the salt-affected soils in desert agro-ecological zones".AGRICULTURAL WATER MANAGEMENT 97.12(2010):1944-1951.
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