TY - JOUR
T1 - Redefinition and global estimation of basal ecosystem respiration rate
AU - Yuan, Wenping
AU - Luo, Yiqi
AU - Li, Xianglan
AU - Liu, Shuguang
AU - Yu, Guirui
AU - Zhou, Tao
AU - Bahn, Michael
AU - Black, Andy
AU - Desai, Ankur R.
AU - Cescatti, Alessandro
AU - Marcolla, Barbara
AU - Jacobs, Cor
AU - Chen, Jiquan
AU - Aurela, Mika
AU - Bernhofer, Christian
AU - Gielen, Bert
AU - Bohrer, Gil
AU - Cook, David R.
AU - Dragoni, Danilo
AU - Dunn, Allison L.
AU - Gianelle, Damiano
AU - Grnwald, Thomas
AU - Ibrom, Andreas
AU - Leclerc, Monique Y.
AU - Lindroth, Anders
AU - Liu, Heping
AU - Marchesini, Luca Belelli
AU - Montagnani, Leonardo
AU - Pita, Gabriel
AU - Rodeghiero, Mirco
AU - Rodrigues, Abel
AU - Starr, Gregory
AU - Stoy, Paul C.
PY - 2011
Y1 - 2011
N2 - 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 ∼3S to ∼70N. 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.
AB - 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 ∼3S to ∼70N. 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.
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U2 - 10.1029/2011GB004150
DO - 10.1029/2011GB004150
M3 - Article
AN - SCOPUS:80054766433
SN - 0886-6236
VL - 25
JO - Global Biogeochemical Cycles
JF - Global Biogeochemical Cycles
IS - 4
M1 - GB4002
ER -