Title: Redefinition and global estimation of basal ecosystem respiration rate
Authors: YUAN WenpingLUO YiqiLI XianglanLIU ShuguangYU GuiruiZHOU TaoBAHN MichaelBLACK AndyDESAI Ankur R.CESCATTI AlessandroMARCOLLA BarbaraJACOBS CorCHEN JiquanAURELA MikaBERNHOFER ChristianGIELEN BertBOHRER GilCOOK D. R.DRAGONI DaniloDUNN AllisonGIANELLE DamianoGrünwald T.Ibrom ALECLERC Monique Y.LINDROTH AndersLIU H.BELELLI MARCHESINI LucaMONTAGNANI LeonardoPITA G.RODEGHIERO MircoRODRIGUES AbelSTARR GregorySTOY P.
Citation: GLOBAL BIOGEOCHEMICAL CYCLES vol. 25 no. 4 p. GB4002
Publisher: AMER GEOPHYSICAL UNION
Publication Year: 2011
JRC N°: JRC68613
ISSN: 0886-6236
URI: http://onlinelibrary.wiley.com/doi/10.1029/2011GB004150/abstract;jsessionid=EB9FCB2C8C2958A9C00AE11E9F6EA3A1.f01t04
http://publications.jrc.ec.europa.eu/repository/handle/JRC68613
DOI: 10.1029/2011GB004150
Type: Articles in periodicals and books
Abstract: Basal ecosystem respiration rate (BR), the ecosystem respiration rate at a given temperature, is a common and important parameter in empirical models for quantifying ecosystem respiration (ER) globally. Numerous studies have indicated that BR varies in space. However, many empirical ER models still use a global constant BR largely due to the lack of a functional description for BR. In this study, we redefined BR to be ecosystem respiration rate at the mean annual temperature. To test the validity of this concept, we conducted a synthesis analysis using 276 site‐years of eddy covariance data, from 79 research sites located at latitudes ranging from ∼3°S to ∼70°N. Results showed that mean annual ER rate closely matches ER rate at mean annual temperature. Incorporation of site‐specific BR into global ER model substantially improved simulated ER compared to an invariant BR at all sites. These results confirm that ER at the mean annual temperature can be considered as BR in empirical models. A strong correlation was found between the mean annual ER and mean annual gross primary production (GPP). Consequently, GPP, which is typically more accurately modeled, can be used to estimate BR. A light use efficiency GPP model (i.e., EC‐LUE) was applied to estimate global GPP, BR and ER with input data from MERRA (Modern Era Retrospective‐Analysis for Research and Applications) and MODIS (Moderate resolution Imaging Spectroradiometer). The global ER was 103 Pg C yr −1, with the highest respiration rate over tropical forests and the lowest value in dry and high‐latitude areas.
JRC Directorate:Sustainable Resources

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