中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Vegetation Functional Properties Determine Uncertainty of Simulated Ecosystem Productivity: A Traceability Analysis in the East Asian Monsoon Region

文献类型:期刊论文

作者Cui, Erqian1,2; Huang, Kun1,2; Arain, Muhammad Altaf3,4; Fisher, Joshua B.5; Huntzinger, Deborah N.6; Ito, Akihiko7; Luo, Yiqi8; Jain, Atul K.9; Mao, Jiafu10,11; Michalak, Anna M.12
刊名GLOBAL BIOGEOCHEMICAL CYCLES
出版日期2019-06-01
卷号33期号:6页码:668-689
ISSN号0886-6236
关键词environmental drivers initial conditions model uncertainty MsTMIP relative importance vegetation functional property
DOI10.1029/2018GB005909
通讯作者Xia, Jianyang(jyxia@des.ecnu.edu.cn)
英文摘要Global and regional projections of climate change by Earth system models are limited by their uncertain estimates of terrestrial ecosystem productivity. At the middle to low latitudes, the East Asian monsoon region has higher productivity than forests in Europe-Africa and North America, but its estimate by current generation of terrestrial biosphere models (TBMs) has seldom been systematically evaluated. Here, we developed a traceability framework to evaluate the simulated gross primary productivity (GPP) by 15 TBMs in the East Asian monsoon region. The framework links GPP to net primary productivity, biomass, leaf area and back to GPP via incorporating multiple vegetation functional properties of carbon-use efficiency (CUE), vegetation C turnover time (tau(veg)), leaf C fraction (F-leaf), specific leaf area (SLA), and leaf area index (LAI)-level photosynthesis (P-LAI), respectively. We then applied a relative importance algorithm to attribute intermodel variation at each node. The results showed that large intermodel variation in GPP over 1901-2010 were mainly propagated from their different representation of vegetation functional properties. For example, SLA explained 77% of the intermodel difference in leaf area, which contributed 90% to the simulated GPP differences. In addition, the models simulated higher CUE (18.1 21.3%), tau(veg) (18.2 26.9%), and SLA (27.436.5%) than observations, leading to the overestimation of simulated GPP across the East Asian monsoon region. These results suggest the large uncertainty of current TBMs in simulating GPP is largely propagated from their poor representation of the vegetation functional properties and call for a better understanding of the covariations between plant functional properties in terrestrial ecosystems.
WOS关键词CARBON-DIOXIDE EXCHANGE ; EARTH SYSTEM MODEL ; PROGRAM MULTISCALE SYNTHESIS ; GROSS PRIMARY PRODUCTIVITY ; CO2 EXCHANGE ; CLIMATE-CHANGE ; INTERCOMPARISON PROJECT ; BIOMASS ALLOCATION ; SEASONAL-VARIATION ; FOREST ECOSYSTEMS
资助项目National Key R&D Program of China[2017YFA0604603] ; National Natural Science Foundation of China[31722009] ; National Natural Science Foundation of China[41630528] ; Fok Ying-Tong Education Foundation for Young Teachers in the Higher Education Institutions of China[161016] ; National 1000 Young Talents Program of China ; NASA ROSES Grant[NNX10AG01A] ; NASA ROSES Grant[NNH10AN681] ; California Institute of Technology ; National Basic Research Program of China[2013CB956602] ; National Science and Engineering Research Council of Canada (NSERC) ; US Department of Energy (DOE), Office of Science, Biological and Environmental Research ; DOE[DE-AC05-00OR22725]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Meteorology & Atmospheric Sciences
语种英语
出版者AMER GEOPHYSICAL UNION
WOS记录号WOS:000474839000003
资助机构National Key R&D Program of China ; National Natural Science Foundation of China ; Fok Ying-Tong Education Foundation for Young Teachers in the Higher Education Institutions of China ; National 1000 Young Talents Program of China ; NASA ROSES Grant ; California Institute of Technology ; National Basic Research Program of China ; National Science and Engineering Research Council of Canada (NSERC) ; US Department of Energy (DOE), Office of Science, Biological and Environmental Research ; DOE
源URL[http://ir.igsnrr.ac.cn/handle/311030/58351]  
专题中国科学院地理科学与资源研究所
通讯作者Xia, Jianyang
作者单位1.East China Normal Univ, Zhejiang Tiantong Natl Forest Ecosyst Observat &, Shanghai Key Lab Urban Ecol Proc & Ecorestorat, Sch Ecol & Environm Sci,Ctr Global Change & Ecol, Shanghai, Peoples R China
2.Inst Ecochongming, Shanghai, Peoples R China
3.McMaster Univ, Sch Geog & Earth Sci, Hamilton, ON, Canada
4.McMaster Univ, McMaster Ctr Climate Change, Hamilton, ON, Canada
5.CALTECH, Jet Prop Lab, Pasadena, CA USA
6.No Arizona Univ, Sch Earth Sci & Environm Sustainabil, Flagstaff, AZ 86011 USA
7.Natl Inst Environm Studies, Tsukuba, Ibaraki, Japan
8.No Arizona Univ, Dept Biol Sci, Ctr Ecosyst Sci & Soc, Flagstaff, AZ 86011 USA
9.Univ Illinois, Dept Atmospher Sci, Urbana, IL USA
10.Oak Ridge Natl Lab, Div Environm Sci, POB 2008, Oak Ridge, TN 37831 USA
推荐引用方式
GB/T 7714
Cui, Erqian,Huang, Kun,Arain, Muhammad Altaf,et al. Vegetation Functional Properties Determine Uncertainty of Simulated Ecosystem Productivity: A Traceability Analysis in the East Asian Monsoon Region[J]. GLOBAL BIOGEOCHEMICAL CYCLES,2019,33(6):668-689.
APA Cui, Erqian.,Huang, Kun.,Arain, Muhammad Altaf.,Fisher, Joshua B..,Huntzinger, Deborah N..,...&Xia, Jianyang.(2019).Vegetation Functional Properties Determine Uncertainty of Simulated Ecosystem Productivity: A Traceability Analysis in the East Asian Monsoon Region.GLOBAL BIOGEOCHEMICAL CYCLES,33(6),668-689.
MLA Cui, Erqian,et al."Vegetation Functional Properties Determine Uncertainty of Simulated Ecosystem Productivity: A Traceability Analysis in the East Asian Monsoon Region".GLOBAL BIOGEOCHEMICAL CYCLES 33.6(2019):668-689.

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来源:地理科学与资源研究所

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