Using ecosystem experiments to improve vegetation models

Belinda E. Medlyn (), Sönke Zaehle, Martin G. De Kauwe, Anthony P. Walker, Michael C. Dietze, Paul J. Hanson, Thomas Hickler, Atul K. Jain, Yiqi Luo, William Parton, I. Colin Prentice, Peter E. Thornton, Shusen Wang, Ying-Ping Wang, Ensheng Weng, Colleen M. Iversen, Heather R. McCarthy, Jeffrey M. Warren, Ram Oren and Richard J. Norby
Additional contact information
Belinda E. Medlyn: Macquarie University
Sönke Zaehle: Max Planck Institute for Biogeochemistry
Martin G. De Kauwe: Macquarie University
Anthony P. Walker: Oak Ridge National Laboratory
Michael C. Dietze: Boston University
Paul J. Hanson: Oak Ridge National Laboratory
Thomas Hickler: Biodiversity and Climate Research Centre (BiK-F) & Senckenberg Gesellschaft für Naturforschung
Atul K. Jain: University of Illinois
Yiqi Luo: University of Oklahoma
William Parton: Natural Resource Ecology Laboratory, Colorado State University
I. Colin Prentice: Macquarie University
Peter E. Thornton: Oak Ridge National Laboratory
Shusen Wang: Natural Resources Canada
Ying-Ping Wang: CSIRO Ocean and Atmosphere Flagship
Ensheng Weng: Princeton University
Colleen M. Iversen: Oak Ridge National Laboratory
Heather R. McCarthy: University of Oklahoma
Jeffrey M. Warren: Oak Ridge National Laboratory
Ram Oren: Nicholas School of the Environment, Duke University
Richard J. Norby: Oak Ridge National Laboratory

Nature Climate Change, 2015, vol. 5, issue 6, 528-534

Abstract: The recent FACE model–data synthesis project used data from two FACE experiments to assess land ecosystem models. This Perspective details the 'assumption-centered' approach used to identify and evaluate the causes of model differences.

Date: 2015
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DOI: 10.1038/nclimate2621

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