Optimization of Terrestrial Ecosystem Model Parameters Using Atmospheric CO2 Concentration Data With the Global Carbon Assimilation System (GCAS). Issue 12 (23rd December 2017)

• Record Type: Journal Article
• Authors: Chen, Zhuoqi; Chen, Jing M.; Zhang, Shupeng; Zheng, Xiaogu; Ju, Weiming; Mo, Gang; Lu, Xiaoliang
• Is Part Of: Journal of geophysical research. Volume 122:Issue 12(2017)
• Page Start: 3218
• Page End: 3237
• Publication Date: 2017-12-23
• Subjects: Global Carbon Assimilation System -- atmospheric CO2 concentration data -- ecosystem model parameters; Geobiology -- Periodicals; Biogeochemistry -- Periodicals; Biotic communities -- Periodicals; Geophysics -- Periodicals; 577.14
• DOI: 10.1002/2016JG003716
• Languages: English
• ISSNs: 2169-8953

Abstract

Abstract: 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°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° 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. Key Points: Atmospheric CO2 data are used to estimate several key parameters in a terrestrial ecosystem model using the Global Carbon Assimilation System Plants in tropical regions have lower V cmax values than plants in temperate regions. Maximal of V cmax values occur during growing seasons We find regular and significant seasonal variation patterns of V cmax and Q 10 in all latitudinal bands except those in tropical regions