KMS Institute of soil and water conservation Chinese Academy of Sciences
| Large-scale soil organic carbon mapping based on multivariate modelling: The case of grasslands on the Loess Plateau | |
| Wang, Yinyin1,2; Deng, Lei4; Wu, Gaolin4; Wang, Kaibo5; Shangguan, Zhouping1,2; Shangguan, ZP (reprint author), Chinese Acad Sci, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Xinong Rd 26, Yangling 712100, Shaanxi, Peoples R China.; Shangguan, ZP (reprint author), Minist Water Resources, Xinong Rd 26, Yangling 712100, Shaanxi, Peoples R China.; Shangguan, ZP (reprint author), Univ Chinese Acad Sci, Beijing 100049, Peoples R China. | |
| 文章类型 | Article |
| 2018 | |
| 发表期刊 | LAND DEGRADATION & DEVELOPMENT
 |
| ISSN | 1085-3278 |
| 通讯作者邮箱 | shangguan@ms.iswc.ac.cn |
| 卷号 | 29期号:1页码:26-37 |
| 摘要 | The Loess Plateau is considered one of the world's regions with severe soil erosion. Grasslands are widely distributed on the Loess Plateau, accounting for approximately 40% of the total area. Soil organic carbon (SOC) plays an important role in the terrestrial carbon cycle in this region. We compiled more than 1,000 measurements of plant biomass and SOC content derived from 223 field studies of grasslands on the Loess Plateau. Combined with meteorological factors (precipitation and air temperature) and the photosynthetically active radiation factor, the topsoil SOC contents of grasslands were predicted using the random forest (RF) regression algorithm. Predicted grassland SOC content (1.70-40.34gkg(-1)) decreased from the southeast to the northwest of the Loess Plateau, with approximately 1/5 of the grassland exhibiting values lower than 4gkg(-1). Observed SOC content was positively correlated with observed plant biomass, and for predicted values, this correlation was strong in the desert steppe and the steppe desert of rocky mountains. Air temperature was the most important factor affecting SOC contents in the RF model. Moreover, the residual error of observations and predictions increased as the grazing intensity varied from none to very severe in the temperate desert steppe, and this RF model may not perform well in plains. The use of the RF model for SOC prediction in Loess Plateau grasslands provides a reference for C storage studies in arid and semi-arid regions, and aboveground biomass and temperature should receive more attention due to increasing C sequestration. |
| 关键词 | Aboveground Biomass Belowground Biomass Grassland Loess Plateau Soil Organic Carbon |
| 学科领域 | Environmental Sciences ; Soil Science |
| DOI | 10.1002/ldr.2833 |
| 收录类别 | SCI |
| 出版地 | 111 RIVER ST, HOBOKEN 07030-5774, NJ USA |
| 语种 | 英语 |
| WOS记录号 | WOS:000423123700003 |
| 出版者 | WILEY |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | sbir.nwafu.edu.cn/handle/361005/7854 |
| 专题 | 水保所科研产出--SCI_2018--SCI |
| 通讯作者 | Shangguan, ZP (reprint author), Chinese Acad Sci, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Xinong Rd 26, Yangling 712100, Shaanxi, Peoples R China.; Shangguan, ZP (reprint author), Minist Water Resources, Xinong Rd 26, Yangling 712100, Shaanxi, Peoples R China.; Shangguan, ZP (reprint author), Univ Chinese Acad Sci, Beijing 100049, Peoples R China. |
| 作者单位 | 1.Chinese Acad Sci, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Xinong Rd 26, Yangling 712100, Shaanxi, Peoples R China 2.Minist Water Resources, Xinong Rd 26, Yangling 712100, Shaanxi, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China 5.Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess & Quaternary Geol, Xian 710061, Shaanxi, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Yinyin,Deng, Lei,Wu, Gaolin,et al. Large-scale soil organic carbon mapping based on multivariate modelling: The case of grasslands on the Loess Plateau[J]. LAND DEGRADATION & DEVELOPMENT,2018,29(1):26-37. |
| APA | Wang, Yinyin.,Deng, Lei.,Wu, Gaolin.,Wang, Kaibo.,Shangguan, Zhouping.,...&Shangguan, ZP .(2018).Large-scale soil organic carbon mapping based on multivariate modelling: The case of grasslands on the Loess Plateau.LAND DEGRADATION & DEVELOPMENT,29(1),26-37. |
| MLA | Wang, Yinyin,et al."Large-scale soil organic carbon mapping based on multivariate modelling: The case of grasslands on the Loess Plateau".LAND DEGRADATION & DEVELOPMENT 29.1(2018):26-37. |
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| 29（2018.3.16）.pdf（1732KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 | |
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