Using the Lund-Potsdam-Jena model to understand the different responses of three woody plants to land use in China
Sun Guodong1; Mu Mu1,2
刊名ADVANCES IN ATMOSPHERIC SCIENCES
2013-03-01
卷号30期号:2页码:515-524
关键词conditional nonlinear optimal perturbation initial perturbation CNOP-I terrestrial ecosystem land use
ISSN号0256-1530
通讯作者Sun, GD
中文摘要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.
英文摘要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.
学科主题Meteorology & Atmospheric Sciences
WOS标题词Science & Technology ; Physical Sciences
类目[WOS]Meteorology & Atmospheric Sciences
研究领域[WOS]Meteorology & Atmospheric Sciences
关键词[WOS]NONLINEAR OPTIMAL PERTURBATION ; FINITE-AMPLITUDE PERTURBATIONS ; GLOBAL VEGETATION MODEL ; COVER CHANGES ; GRASSLAND ECOSYSTEMS ; ENSEMBLE PREDICTION ; ATMOSPHERIC CO2 ; ORGANIC-CARBON ; CLIMATE-CHANGE ; SOIL CARBON
收录类别SCI
原文出处10.1007/s00376-012-2011-1
语种英语
WOS记录号WOS:000314747500020
公开日期2014-07-17
内容类型期刊论文
源URL[http://ir.qdio.ac.cn/handle/337002/16449]  
专题海洋研究所_海洋环流与波动重点实验室
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
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Sun Guodong,Mu Mu. 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.(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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