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  Forest water use and water use efficiency at elevated CO2: a model-data intercomparison at two contrasting temperate forest FACE sites

De Kauwe, M. G., Medlyn, B. E., Zaehle, S., Walker, A. P., Dietze, M. C., Hickler, T., et al. (2013). Forest water use and water use efficiency at elevated CO2: a model-data intercomparison at two contrasting temperate forest FACE sites. Global Change Biology, 19(6), 1759-1779. doi:10.1111/gcb.12164.

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De Kauwe , Martin G., Author
Medlyn, Belinda E., Author
Zaehle, Sönke1, 2, Author           
Walker, Anthony P., Author
Dietze, Michael C., Author
Hickler, Thomas, Author
Jain, Atul K., Author
Luo, Yiqi, Author
Parton, William J., Author
Prentice, I. Colin, Author
Smith, Benjamin, Author
Thornton, Peter E., Author
Wang, Shusen, Author
Wang, Ying-Ping, Author
Warlind, David, Author
Weng, Ensheng, Author
Crous, Kristine Y., Author
Ellsworth, David S., Author
Hanson , Paul J., Author
Kim, Hyun-Seok, Author
Warren, Jeffrey M., AuthorOren, Ram, AuthorNorby, Richard J., Author more..
Affiliations:
1Terrestrial Biosphere Modelling & Data assimilation, Dr. S. Zähle, Department Biogeochemical Systems, Prof. M. Heimann, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497787              
2Terrestrial Biosphere Modelling , Dr. Sönke Zähle, Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1938309              

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 Abstract: Predicted responses of transpiration to elevated atmospheric CO2 concentration (eCO2) are highly variable amongst process-based models. To better understand and constrain this variability amongst models, we conducted an intercomparison of 11 ecosystem models applied to data from two forest free-air CO2 enrichment (FACE) experiments at Duke University and Oak Ridge National Laboratory. We analysed model structures to identify the key underlying assumptions causing differences in model predictions of transpiration and canopy water use efficiency. We then compared the models against data to identify model assumptions that are incorrect or are large sources of uncertainty. We found that model-to-model and model-to-observations differences resulted from four key sets of assumptions, namely (i) the nature of the stomatal response to elevated CO2 (coupling between photosynthesis and stomata was supported by the data); (ii) the roles of the leaf and atmospheric boundary layer (models which assumed multiple conductance terms in series predicted more decoupled fluxes than observed at the broadleaf site); (iii) the treatment of canopy interception (large intermodel variability, 2–15%); and (iv) the impact of soil moisture stress (process uncertainty in how models limit carbon and water fluxes during moisture stress). Overall, model predictions of the CO2 effect on WUE were reasonable (intermodel l = approximately 28% 10%) compared to the observations (l = approximately 30% 13%) at the well-coupled coniferous site (Duke), but poor (intermodel l = approximately 24% 6%; observations l = approximately 38% 7%) at the broadleaf site (Oak Ridge). The study yields a framework for analysing and interpreting model predictions of transpiration responses to eCO2, and highlights key improvements to these types of models.

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 Dates: 2013-01-302013-03-25
 Publication Status: Published online
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 Identifiers: Other: BGC1815
DOI: 10.1111/gcb.12164
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Title: Global Change Biology
Source Genre: Journal
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Publ. Info: Oxford, UK : Blackwell Science
Pages: - Volume / Issue: 19 (6) Sequence Number: - Start / End Page: 1759 - 1779 Identifier: ISSN: 1354-1013
CoNE: https://pure.mpg.de/cone/journals/resource/954925618107