陈卓奇等:Optimization of Terrestrial Ecosystem Model Parameters Using Atmospheric CO2 Concentration Data With the Global Carbon Assimilation System (GCAS)
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2018-03-02
Optimization of Terrestrial Ecosystem Model Parameters Using Atmospheric CO2 Concentration Data With the Global Carbon Assimilation System (GCAS)
作者:Chen, ZQ (Chen, Zhuoqi)[ 1 ] ; Chen, JM (Chen, Jing M.)[ 2,3,4 ] ; Zhang, SP (Zhang, Shupeng)[ 5 ] ; Zheng, XG (Zheng, Xiaogu)[ 1 ] ; Ju, WM (Ju, Weiming)[ 2 ] ; Mo, G (Mo, Gang)[ 3,4 ] ; Lu, XL (Lu, Xiaoliang)[ 6 ]
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
卷: 122  期: 12  页: 3218-3237
DOI: 10.1002/2016JG003716
出版年: DEC 2017
 
摘要
The Global Carbon Assimilation System that assimilates ground-based atmospheric CO2 data is used to estimate several key parameters in a terrestrial ecosystem model for the purpose of improving carbon cycle simulation. The optimized parameters are the leaf maximum carboxylation rate at 25 degrees C (V-max(25)), the temperature sensitivity of ecosystem respiration (Q(10)), and the soil carbon pool size. The optimization is performed at the global scale at 1 degrees resolution for the period from 2002 to 2008. The results indicate that vegetation from tropical zones has lower V-max(25) values than vegetation in temperate regions. Relatively high values of Q(10) are derived over high/midlatitude regions. Both V-max(25) and Q(10) exhibit pronounced seasonal variations at middle-high latitudes. The maxima in V-max(25) occur during growing seasons, while the minima appear during nongrowing seasons. Q(10) values decrease with increasing temperature. The seasonal variabilities of V-max(25) and Q(10) are larger at higher latitudes. Optimized V-max(25) and Q(10) show little seasonal variabilities at tropical regions. The seasonal variabilities of V-max(25) are consistent with the variabilities of LAI for evergreen conifers and broadleaf evergreen forests. Variations in leaf nitrogen and leaf chlorophyll contents may partly explain the variations in V-max(25). The spatial distribution of the total soil carbon pool size after optimization is compared favorably with the gridded Global Soil Data Set for Earth System. The results also suggest that atmospheric CO2 data are a source of information that can be tapped to gain spatially and temporally meaningful information for key ecosystem parameters that are representative at the regional and global scales.
 
通讯作者地址: Chen, JM (通讯作者)
Nanjing Univ, Int Inst Earth Syst Sci, Nanjing, Jiangsu, Peoples R China.
通讯作者地址: Chen, JM (通讯作者)
Univ Toronto, Dept Geog, Toronto, ON, Canada.
通讯作者地址: Chen, JM (通讯作者)
Univ Toronto, Program Planning, Toronto, ON, Canada.
地址:
[ 1 ] Beijing Normal Univ, Coll Global Change & Earth Syst Sci, State Key Lab Remote Sensing Sci, Beijing, Peoples R China
[ 2 ] Nanjing Univ, Int Inst Earth Syst Sci, Nanjing, Jiangsu, Peoples R China
[ 3 ] Univ Toronto, Dept Geog, Toronto, ON, Canada
[ 4 ] Univ Toronto, Program Planning, Toronto, ON, Canada
[ 5 ] Sun Yat Sen Univ, Sch Atmospher Sci, Guangzhou, Guangdong, Peoples R China
[ 6 ] Marine Biol Lab, Ctr Ecosyst, Woods Hole, MA 02543 USA