Spatially-explicit estimate of soil nitrogen stock and its implication for land model across Tibetan alpine permafrost region

doi:10.1016/j.scitotenv.2018.09.252

	Spatially-explicit estimate of soil nitrogen stock and its implication for land model across Tibetan alpine permafrost region
	Kou, Dan 1; Ding, Jinzhi 1; Li, Fei 1; Wei, Ning 2; Fang, Kai 1; Yang, Guibiao 1; Zhang, Beibei ; Liu, Li 1; Qin, Shuqi 1; Chen, Yongliang ; Xia, Jianyang 2; Yang, Yuanhe1
	2019
发表期刊	SCIENCE OF THE TOTAL ENVIRONMENT
ISSN	0048-9697
卷号	650 页码:1795-1804
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.
关键词	Climate warming Community Land Model Machine learning Nitrogen cycle Permafrost Tibetan Plateau
学科领域	Environmental Sciences
DOI	10.1016/j.scitotenv.2018.09.252
收录类别	SCI
语种	英语
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
WOS记录号	WOS:000447871400015
出版者	ELSEVIER
文献子类	Article
出版地	AMSTERDAM
EISSN	1879-1026
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]
作者邮箱	yhyang@ibcas.ac.cn
引用统计	被引频次：18[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	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.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 00093, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, 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.

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