Responses of soil carbon variation to climate variability in China using the LPJ model

doi:10.1007/s00704-012-0619-9

IOCAS-IR > 海洋环流与波动重点实验室

	Responses of soil carbon variation to climate variability in China using the LPJ model
	Sun, Guodong 1,2; Mu, Mu 2,3; Sun, GD (reprint author), Chinese Acad Sci, Inst Atmospher Phys, LASG, Beijing 100029, Peoples R China.
	2012-10-01
发表期刊	THEORETICAL AND APPLIED CLIMATOLOGY
ISSN	0177-798X
卷号	110 期号:1-2 页码:143-153
文章类型	Article
摘要	In this study, we explored the maximal response of soil carbon in a part of China to climate change, including variations in climatology and climate variability, under the condition of global warming. A conditional nonlinear optimal perturbation (CNOP) approach was employed to discuss the above issue using the Lund-Potsdam-Jena (LPJ) model. The variation in the soil carbon was compared with those caused by a linear temperature or precipitation perturbation. The key difference between the CNOP-type and the linear perturbations depended on whether the perturbations brought the variation in the temperature or the precipitation variability in comparison with the reference temperature or the precipitation variability. The model results demonstrated that the variations in the soil carbon resulted from the CNOP-type and linear temperature perturbations in south of the study region, which was corresponding to part of South China, had different variations. We examined three components of the soil carbon in the LPJ model: fast-decomposing soil carbon, slow-decomposing soil carbon, and litter below the ground. The variations of these components derived by the two types of temperature perturbations were different in the chosen region. The reduction in the litter below the ground may be the main cause of decreased soil carbon in arid and semi-arid regions as a result of the two types of temperature perturbations. The different impacts of the two types of temperature perturbations in the south of the study region may be mainly caused by the variations in the fast-decomposing soil carbon. The variations in the soil carbon caused by the two types of precipitation perturbations were similar. In the arid and semi-arid regions, the soil carbon increased due to the two types of precipitation perturbations. This research implies that the variation in temperature variability plays a crucial role in the variations of the soil carbon and its components in the study region.
关键词	Finite-amplitude Perturbations Nonlinear Optimal Perturbation Global Vegetation Model Data Assimilation Sensitivity Ecosystem Storage Future Optimization Grassland
学科领域	Meteorology & Atmospheric Sciences
DOI	10.1007/s00704-012-0619-9
URL	查看原文
收录类别	SCI
语种	英语
WOS记录号	WOS:000309590500012
引用统计	被引频次：19[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/12183
专题	海洋环流与波动重点实验室
通讯作者	Sun, GD (reprint author), Chinese Acad Sci, Inst Atmospher Phys, LASG, Beijing 100029, Peoples R China.
作者单位	1.Chinese Acad Sci, Inst Atmospher Phys, LASG, Beijing 100029, Peoples R China 2.Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geop, Beijing 100029, Peoples R China 3.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Wave, Qingdao 266071, Peoples R China
推荐引用方式 GB/T 7714	Sun, Guodong,Mu, Mu,Sun, GD . Responses of soil carbon variation to climate variability in China using the LPJ model[J]. THEORETICAL AND APPLIED CLIMATOLOGY,2012,110(1-2):143-153.
APA	Sun, Guodong,Mu, Mu,&Sun, GD .(2012).Responses of soil carbon variation to climate variability in China using the LPJ model.THEORETICAL AND APPLIED CLIMATOLOGY,110(1-2),143-153.
MLA	Sun, Guodong,et al."Responses of soil carbon variation to climate variability in China using the LPJ model".THEORETICAL AND APPLIED CLIMATOLOGY 110.1-2(2012):143-153.

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