Spatially-explicit estimate of soil nitrogen stock and its implication for land model across Tibetan alpine permafrost region
文献类型：期刊论文
| 作者 | Kou, Dan2; Ding, Jinzhi2; Li, Fei2; Wei, Ning1; Fang, Kai2; Yang, Guibiao2; Zhang, Beibei; Liu, Li2; Qin, Shuqi2; Chen, Yongliang |
| 刊名 | SCIENCE OF THE TOTAL ENVIRONMENT
 |
| 出版日期 | 2019 |
| 卷号 | 650页码:1795-1804 |
| 关键词 | Climate warming Community Land Model Machine learning Nitrogen cycle Permafrost Tibetan Plateau |
| ISSN号 | 0048-9697 |
| DOI | 10.1016/j.scitotenv.2018.09.252 |
| 文献子类 | Article |
| 英文摘要 | Permafrost soils store a large amount of nitrogen (N) which could be activated under the continuous climate warming. However, compared with carbon (C) stock, little is known about the size and spatial distribution of permafrost N stock. By combining measurements from 519 pedons with two machine learning models (supporting vector machine (SVM) and random forest (RF)), we estimated the size and spatial distribution of N stock across the Tibetan alpine permafrost region. We then compared these spatially-explicit N estimates with simulated N stocks from the Community Land Model (CLM). We found that N density (N amount per area) in the top three meters was 1.58 kg N m(-2) (interquartile range: 1.40-1.76) across the study area, constituting a total of 1802 Tg N (interquartile range: 1605-2008), decreasing from the southeast to the northwest of the plateau. N stored below 1 m accounted for 48% of the total N stock in the top three meters. CLM4.5 significantly underestimated the N stock on the Tibetan Plateau, primarily in areas with arid/semi-arid climate. The process of biological N fixation played a key role in the underestimation of N stock prediction. Overall, our study highlights that it is imperative to improve the simulation of N processes and permafrost N stocks in land models to better predict ecological consequences induced by rapid and widespread permafrost degradation. (C) 2018 Published by Elsevier B.V. |
| 学科主题 | Environmental Sciences |
| 出版地 | AMSTERDAM |
| 电子版国际标准刊号 | 1879-1026 |
| WOS关键词 | ORGANIC-CARBON ; INORGANIC NITROGEN ; N2O EMISSIONS ; PATTERNS ; THAW ; CLIMATE ; STORAGE ; TUNDRA ; COVARIATION ; PLATEAU |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000447871400015 |
| 出版者 | ELSEVIER |
| 资助机构 | National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [31670482] ; Key Research Program of Frontier Sciences, Chinese Academy of Sciences [QYZDB-SSW-SMC049] ; Chinese Academy of Sciences-Peking University Pioneer Cooperation Team ; National Key R&D Program of China [2017YFA0604603] ; Strategic Priority Research Program of the Chinese Academy of SciencesChinese Academy of Sciences [XDA19070303] |
| 源URL | [http://ir.ibcas.ac.cn/handle/2S10CLM1/19654]  |
| 专题 | 植被与环境变化国家重点实验室 |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 00093, Peoples R China 3.East China Normal Univ, Res Ctr Global Change & Ecol Forecasting, Sch Ecol & Environm Sci, Shanghai 200062, Peoples R China |
| 推荐引用方式 GB/T 7714 | Kou, Dan,Ding, Jinzhi,Li, Fei,et al. Spatially-explicit estimate of soil nitrogen stock and its implication for land model across Tibetan alpine permafrost region[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2019,650:1795-1804. |
| APA | Kou, Dan.,Ding, Jinzhi.,Li, Fei.,Wei, Ning.,Fang, Kai.,...&Yang, Yuanhe.(2019).Spatially-explicit estimate of soil nitrogen stock and its implication for land model across Tibetan alpine permafrost region.SCIENCE OF THE TOTAL ENVIRONMENT,650,1795-1804. |
| MLA | Kou, Dan,et al."Spatially-explicit estimate of soil nitrogen stock and its implication for land model across Tibetan alpine permafrost region".SCIENCE OF THE TOTAL ENVIRONMENT 650(2019):1795-1804. |
入库方式： OAI收割
来源：植物研究所
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