New framework published to improve model predictions of transpiration responses to elevated carbon dioxide
Predicted responses of transpiration to elevated atmospheric CO2 concentration (eCO2) are highly variable among process-based models. To better understand and constrain this variability among models, a NCEAS Working Group 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. The study published in Global Change Biology yields a framework for analyzing and interpreting model predictions of transpiration responses to eCO2, and highlights key improvements to these types of models.
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., Jain, A. K., Luo, Y., Parton, W. J., Prentice, I. C., Smith, B., Thornton, P. E., Wang, S., Wang, Y.-P., Wårlind, D., Weng, E., Crous, K. Y., Ellsworth, D. S., Hanson, P. J., Seok Kim, H.-., Warren, J. M., Oren, R. and Norby, R. J. (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: 1759–1779. doi: 10.1111/gcb.12164
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This work was supported by the National Center for Ecological Analysis and Synthesis, a Center funded by NSF (Grant #EF-0553768) and the University of California, Santa Barbara.