Assessing soil thickness in a black soil watershed in northeast China using random forest and field observations
文献类型：期刊论文
| 作者 | Zhang, Shuai1; Liu, Gang1; Chen, Shuli1; Rasmussen, Craig3; Liu, Baoyuan1,2 |
| 刊名 | INTERNATIONAL SOIL AND WATER CONSERVATION RESEARCH
 |
| 出版日期 | 2021-03-01 |
| 卷号 | 9期号:1页码:49-57 |
| 关键词 | Soil thickness Random forest Black soils Northeast China Soil geomorphology |
| ISSN号 | 2095-6339 |
| DOI | 10.1016/j.iswcr.2020.09.004 |
| 通讯作者 | Liu, Baoyuan(baoyuan@bnu.edu.cn) |
| 英文摘要 | Soil thickness determines the soil productivity in the black soil region of northeast China, which is important for national food security. Existing information on the spatial variation of black soil thickness is inadequate. In this paper, we propose a model framework for spatial estimation of the black soil thickness at the watershed scale by integrating field observations, unmanned aerial vehicle variations of topography, and satellite variations of vegetation with the aid of random forest. We sampled 141 sample profiles over a watershed and identified the black soil thickness based on indices of the mollic epipedon. Topographic variables were derived from a digital elevation model and vegetation variables were derived from Landsat 8 imagery. Random forest was used to determine the relationship between black soil thickness and environmental variables. The resulting model explained 61% of the black soil thickness spatial variation, which was more than twice that of traditional interpolation methods (ordinary kriging, universal kriging and inverse distance weighting). Topographic variables contributed the most toward explaining the thickness, followed by vegetation indices. The black soil thickness over the watershed had a clear catenary soil pattern, with thickest black soil in the low depositional areas and thinnest at the higher elevations that drain into the low areas. The proposed model framework will improve estimates of soil thickness in the region of our study. (C) 2020 International Research and Training Center on Erosion and Sedimentation and China Water and Power Press. Production and Hosting by Elsevier B.V. |
| WOS关键词 | SPATIAL VARIABILITY ; LANDSCAPE ; EROSION ; DEPTH ; CLASSIFICATION ; PREDICTION ; PRODUCTIVITY ; NUTRIENT ; REGION |
| 资助项目 | National Key R&D Program of China[2018YFC0507006] |
| WOS研究方向 | Environmental Sciences & Ecology ; Agriculture ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000614576700005 |
| 出版者 | KEAI PUBLISHING LTD |
| 资助机构 | National Key R&D Program of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/160519]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Liu, Baoyuan |
| 作者单位 | 1.Beijing Normal Univ, Fac Geog Sci, Beijing 100875, Peoples R China 2.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China 3.Univ Arizona, Dept Environm Sci, 1177 E Fourth St, Tucson, AZ 85721 USA |
| 推荐引用方式 GB/T 7714 | Zhang, Shuai,Liu, Gang,Chen, Shuli,et al. Assessing soil thickness in a black soil watershed in northeast China using random forest and field observations[J]. INTERNATIONAL SOIL AND WATER CONSERVATION RESEARCH,2021,9(1):49-57. |
| APA | Zhang, Shuai,Liu, Gang,Chen, Shuli,Rasmussen, Craig,&Liu, Baoyuan.(2021).Assessing soil thickness in a black soil watershed in northeast China using random forest and field observations.INTERNATIONAL SOIL AND WATER CONSERVATION RESEARCH,9(1),49-57. |
| MLA | Zhang, Shuai,et al."Assessing soil thickness in a black soil watershed in northeast China using random forest and field observations".INTERNATIONAL SOIL AND WATER CONSERVATION RESEARCH 9.1(2021):49-57. |
入库方式： OAI收割
来源：地理科学与资源研究所
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