Journal article
Redefinition and global estimation of basal ecosystem respiration rate : BASAL ECOSYSTEM RESPIRATION RATE
Beijing Normal University1
Wageningen University & Research2
University of Toledo3
Finnish Meteorological Institute4
Dresden University of Technology5
University of Antwerp6
Ohio State University7
Argonne National Laboratory8
Indiana University-Purdue University Indianapolis9
Worcester State University10
Ecosystems, Biosystems Division, Risø National Laboratory for Sustainable Energy, Technical University of Denmark11
University of Oklahoma12
Biosystems Division, Risø National Laboratory for Sustainable Energy, Technical University of Denmark13
Risø National Laboratory for Sustainable Energy, Technical University of Denmark14
University of Georgia15
Lund University16
Washington State University Misc. Campuses17
Tuscia University18
Free University of Bozen-Bolzano19
Instituto Superior Técnico20
Unidade de Silvicultura e Produtos Florestais21
University of Alabama22
United States Geological Survey23
Montana State University24
Chinese Academy of Sciences25
University of Innsbruck26
University of British Columbia27
University of Wisconsin-Madison28
European Commission Joint Research Centre Institute29
Edmund Mach Foundation30
...and 20 moreBasal 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.
Language: | English |
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Year: | 2011 |
Pages: | n/a-n/a |
ISSN: | 19449224 and 08866236 |
Types: | Journal article |
DOI: | 10.1029/2011GB004150 |
ORCIDs: | Ibrom, Andreas |