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Title: Redefinition and global estimation of basal ecosystem respiration rate

Journal Article · · Global Biogeochemical Cycles
DOI:https://doi.org/10.1029/2011GB004150· OSTI ID:1396246
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  1. College of Global Change and Earth System Science, Beijing Normal University, Beijing, China
  2. Department of Botany and Microbiology, University of Oklahoma, Norman, Oklahoma, USA
  3. Key Laboratory of Ecosystem Network Observation and Modeling, Synthesis Research Center of Chinese Ecosystem Research Network, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
  4. State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China
  5. Institute of Ecology, University of Innsbruck, Innsbruck, Austria
  6. Faculty of Land and Food Systems, University of British Columbia, Vancouver, B. C., Canada
  7. Atmospheric and Oceanic Sciences Department, Center for Climatic Research, Nelson Institute for Environmental Studies, University of Wisconsin-Madison, Madison, Wisconsin, USA
  8. Institute for Environment and Sustainability, Joint Research Centre, European Commission, Ispra, Italy
  9. Sustainable Agro-ecosystems and Bioresources Department, Fondazione Edmund Mach-IASMA Research and Innovation Centre, San Michele all'Adige, Italy
  10. Alterra, Earth System Science-Climate Change, Wageningen University, Wageningen, Netherlands
  11. Department of Earth, Ecological, and Environmental Sciences, University of Toledo, Toledo, Ohio, USA
  12. Climate and Global Change Research, Finnish Meteorological Institute, Helsinki, Finland
  13. Chair of Meteorology, Institute of Hydrology and Meteorology, Technische Universität Dresden, Dresden, Germany
  14. Department of Biology, University of Antwerp, Wilrijk, Belgium
  15. Department of Civil, Environmental, and Geodetic Engineering, Ohio State University, Columbus, Ohio, USA
  16. Climate Research Section, Environmental Science Division, Argonne National Laboratory, Argonne, Illinois, USA
  17. Department of Geography, Indiana University, Bloomington, Indiana, USA
  18. Department of Physical and Earth Sciences, Worcester State College, Worcester, Massachusetts, USA
  19. Risø DTU National Laboratory for Sustainable Energy, Biosystems Division, Technical University of Denmark, Roskilde, Denmark
  20. Department of Crop and Soil Sciences, College of Agricultural and Environmental Sciences, University of Georgia, Griffin, Georgia, USA
  21. Geobiosphere Science Centre, Physical Geography and Ecosystems Analysis, Lund University, Lund, Sweden
  22. Laboratory for Atmospheric Research, Department of Civil and Environmental Engineering, Washington State University, Pullman, Washington, USA
  23. Department for Innovation in Biological, Agro-Food and Forest Systems, University of Tuscia, Viterbo, Italy
  24. Department of Mechanical Engineering, Instituto Superior Técnico, Lisbon, Portugal
  25. Unidade de Silvicultura e Produtos Florestais, Instituto Nacional dos Recursos Biológicos, Oeiras, Portugal
  26. Department of Biological Sciences, University of Alabama, Tuscaloosa, Alabama, USA
  27. Department of Land Resources and Environmental Sciences, Montana State University, Bozeman, Montana, USA

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

Research Organization:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Organization:
Fundamental Research Funds for the Central Universities; Department of the Interior - U.S. Geological Survey - Geographic Analysis and Monitoring; National Key Basic Research Program of China; Department of the Interior - U.S. Geological Survey - Global Change Research and Development Program
DOE Contract Number:
AC02-06CH11357
OSTI ID:
1396246
Journal Information:
Global Biogeochemical Cycles, Vol. 25, Issue 4; ISSN 0886-6236
Publisher:
American Geophysical Union (AGU)
Country of Publication:
United States
Language:
English

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