Using the Lund-Potsdam-Jena model to understand the different responses of three woody plants to land use in China

doi:10.1007/s00376-012-2011-1

IOCAS-IR > 海洋环流与波动重点实验室

	Using the Lund-Potsdam-Jena model to understand the different responses of three woody plants to land use in China
	Sun Guodong 1; Mu Mu 1,2; Sun, GD
	2013-03-01
发表期刊	ADVANCES IN ATMOSPHERIC SCIENCES
ISSN	0256-1530
卷号	30 期号:2 页码:515-524
文章类型	Article
摘要	In this study, the approach of conditional nonlinear optimal perturbation related to initial perturbation (CNOP-I) was employed to investigate the maximum variations in plant amount for three main woody plants (a temperate broadleaved evergreen, a temperate broadleaved summergreen, and a boreal needleleaved evergreen) in China. The investigation was conducted within a certain range of land use intensity using a state-of-the-art Lund-Potsdam-Jena dynamic global vegetation model (LPJ DGVM). CNOP-I represents a class of deforestation and can be considered a type of land use with respect to the initial perturbation. When deforestation denoted by the CNOP-I has the same intensity for all three plants, the variation in plant amount of the boreal needleleaved evergreen in northern China is greater than the variation in plant amount of both the temperate broadleaved evergreen and temperate broadleaved summergreen in southern China. As deforestation intensity increases, the plant amount variation in the three woody plant functional types carbon changes, in a nonlinear fashion. The impact of land use on plant functional types is minor because the interaction between climate condition and land use is not considered in the LPJ model. Finally, the different impacts of deforestation on net primary production of the three plant functional types were analyzed by modeling gross primary production and autotrophic respiration. Our results suggest that the CNOP-I approach is a useful tool for exploring the nonlinear and different responses of terrestrial ecosystems to land use.; In this study, the approach of conditional nonlinear optimal perturbation related to initial perturbation (CNOP-I) was employed to investigate the maximum variations in plant amount for three main woody plants (a temperate broadleaved evergreen, a temperate broadleaved summergreen, and a boreal needleleaved evergreen) in China. The investigation was conducted within a certain range of land use intensity using a state-of-the-art Lund-Potsdam-Jena dynamic global vegetation model (LPJ DGVM). CNOP-I represents a class of deforestation and can be considered a type of land use with respect to the initial perturbation. When deforestation denoted by the CNOP-I has the same intensity for all three plants, the variation in plant amount of the boreal needleleaved evergreen in northern China is greater than the variation in plant amount of both the temperate broadleaved evergreen and temperate broadleaved summergreen in southern China. As deforestation intensity increases, the plant amount variation in the three woody plant functional types carbon changes, in a nonlinear fashion. The impact of land use on plant functional types is minor because the interaction between climate condition and land use is not considered in the LPJ model. Finally, the different impacts of deforestation on net primary production of the three plant functional types were analyzed by modeling gross primary production and autotrophic respiration. Our results suggest that the CNOP-I approach is a useful tool for exploring the nonlinear and different responses of terrestrial ecosystems to land use.
关键词	Conditional Nonlinear Optimal Perturbation Initial Perturbation Cnop-i Terrestrial Ecosystem Land Use
学科领域	Meteorology & Atmospheric Sciences
DOI	10.1007/s00376-012-2011-1
URL	查看原文
收录类别	SCI
语种	英语
WOS研究方向	Meteorology & Atmospheric Sciences
WOS类目	Meteorology & Atmospheric Sciences
WOS记录号	WOS:000314747500020
WOS关键词	NONLINEAR OPTIMAL PERTURBATION ; FINITE-AMPLITUDE PERTURBATIONS ; GLOBAL VEGETATION MODEL ; COVER CHANGES ; GRASSLAND ECOSYSTEMS ; ENSEMBLE PREDICTION ; ATMOSPHERIC CO2 ; ORGANIC-CARBON ; CLIMATE-CHANGE ; SOIL CARBON
WOS标题词	Science & Technology ; Physical Sciences
引用统计	被引频次：1[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/337002/16449
专题	海洋环流与波动重点实验室
通讯作者	Sun, GD
作者单位	1.Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geop, Beijing 100029, Peoples R China 2.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. Using the Lund-Potsdam-Jena model to understand the different responses of three woody plants to land use in China[J]. ADVANCES IN ATMOSPHERIC SCIENCES,2013,30(2):515-524.
APA	Sun Guodong,Mu Mu,&Sun, GD.(2013).Using the Lund-Potsdam-Jena model to understand the different responses of three woody plants to land use in China.ADVANCES IN ATMOSPHERIC SCIENCES,30(2),515-524.
MLA	Sun Guodong,et al."Using the Lund-Potsdam-Jena model to understand the different responses of three woody plants to land use in China".ADVANCES IN ATMOSPHERIC SCIENCES 30.2(2013):515-524.

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