An improved similarity-based approach to predicting and mapping soil organic carbon and soil total nitrogen in a coastal region of northeastern China
文献类型：期刊论文
| 作者 | Wang, Shuai1,2,3; Adhikar, Kabindra4; Zhuang, Qianlai3; Yang, Zijiao1; Jin, Xinxin1; Wang, Qiubing1; Bian, Zhenxing1 |
| 刊名 | PEERJ
 |
| 出版日期 | 2020-05-26 |
| 卷号 | 8页码:26 |
| 关键词 | Digital soil mapping Environmental variables Spatial variability Uncertainty |
| ISSN号 | 2167-8359 |
| DOI | 10.7717/peerj.9126 |
| 通讯作者 | Jin, Xinxin(jinxinxin0218@syau.edu.cn) |
| 英文摘要 | Soil organic carbon (SOC) and soil total nitrogen (STN) are major soil indicators for soil quality and fertility. Accurate mapping SOC and STN in soils would help both managed and natural soils and ecosystem management. This study developed an improved similarity-based approach (ISA) to predicting and mapping topsoil (0-20 cm soil depth) SOC and STN in a coastal region of northeastern China. Six environmental variables including elevation, slope gradient, topographic wetness index, the mean annual temperature, the mean annual temperature, and normalized difference vegetation index were used as predictors. Soil survey data in 2012 was designed based on the clustering of the study area into six climatic vegetation landscape units. In each landscape unit, 20-25 sampling points were determined at different landform positions considering local climate, soil type, elevation and other environmental factors, and finally 126 sampling points were obtained. Soil sampling from the depth of 0-20 cm were used for model prediction and validation. The ISA model performance was compared with the geographically weighted regression (GWR), regression kriging (RK), boosted regression trees (BRT) considering mean absolute prediction error (MAE), root mean square error (RMSE), coefficient of determination (R-2), and maximum relative difference (RD) indices. We found that the ISA method performed best with the highest R-2 and lowest MAE, RMSE compared to GWR, RK, and BRT methods. The ISA method could explain 76% and 83% of the total SOC and STN variability, respectively, 12-40% higher than other models in the study area. Elevation had the largest influence on SOC and STN distribution.Weconclude that the developed ISA model is robust and effective in mapping SOC and STN, particularly in the areas with complex vegetation-landscape when limited samples are available. The method needs to be tested for other regions in our future research. |
| WOS关键词 | GEOGRAPHICALLY WEIGHTED REGRESSION ; RANDOM FORESTS ; CLIMATE-CHANGE ; LAND-USE ; STOCKS ; MODEL ; AREA ; SEQUESTRATION ; VARIABLES ; ISLAND |
| 资助项目 | China Postdoctoral Science Foundation[2019M660782] ; young scientific and Technological Talents Project of Liaoning Province[LSNQN201910] ; young scientific and Technological Talents Project of Liaoning Province[LSNQN201914] |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| WOS记录号 | WOS:000535415100009 |
| 出版者 | PEERJ INC |
| 资助机构 | China Postdoctoral Science Foundation ; young scientific and Technological Talents Project of Liaoning Province |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/159618]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Jin, Xinxin |
| 作者单位 | 1.Shenyang Agr Univ, Coll Land & Environm, Shenyang, Liaoning, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China 3.Purdue Univ, Dept Earth Atmospher & Planetary Sci, W Lafayette, IN 47907 USA 4.ARS, Grassland Soil & Water Res Lab, USDA, Temple, TX 76502 USA |
| 推荐引用方式 GB/T 7714 | Wang, Shuai,Adhikar, Kabindra,Zhuang, Qianlai,et al. An improved similarity-based approach to predicting and mapping soil organic carbon and soil total nitrogen in a coastal region of northeastern China[J]. PEERJ,2020,8:26. |
| APA | Wang, Shuai.,Adhikar, Kabindra.,Zhuang, Qianlai.,Yang, Zijiao.,Jin, Xinxin.,...&Bian, Zhenxing.(2020).An improved similarity-based approach to predicting and mapping soil organic carbon and soil total nitrogen in a coastal region of northeastern China.PEERJ,8,26. |
| MLA | Wang, Shuai,et al."An improved similarity-based approach to predicting and mapping soil organic carbon and soil total nitrogen in a coastal region of northeastern China".PEERJ 8(2020):26. |
入库方式： OAI收割
来源：地理科学与资源研究所
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