Articles | Volume 8, issue 11
https://doi.org/10.5194/gmd-8-3593-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-8-3593-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Taking off the training wheels: the properties of a dynamic vegetation model without climate envelopes, CLM4.5(ED)
R. A. Fisher
CORRESPONDING AUTHOR
National Center for Atmospheric Research, Boulder, Colorado 80305, USA
S. Muszala
National Center for Atmospheric Research, Boulder, Colorado 80305, USA
M. Verteinstein
National Center for Atmospheric Research, Boulder, Colorado 80305, USA
P. Lawrence
National Center for Atmospheric Research, Boulder, Colorado 80305, USA
C. Xu
Los Alamos National Laboratory, Los Alamos, New Mexico 87454, USA
N. G. McDowell
Los Alamos National Laboratory, Los Alamos, New Mexico 87454, USA
R. G. Knox
Lawrence Berkeley National Laboratory, Berkeley, California, USA
Lawrence Berkeley National Laboratory, Berkeley, California, USA
Lawrence Berkeley National Laboratory, Berkeley, California, USA
B. M. Rogers
Woods Hole Research Center, Falmouth, Massachusetts, USA
A. Spessa
Department Environment, Earth and Ecosystems, Open University, Milton Keynes, UK
Department Atmospheric Chemistry, Max Planck Institute for Chemistry, Mainz, Germany
D. Lawrence
National Center for Atmospheric Research, Boulder, Colorado 80305, USA
National Center for Atmospheric Research, Boulder, Colorado 80305, USA
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Short summary
Predicting the distribution of vegetation under novel climates is important, both to understand how climate change will impact ecosystem services, but also to understand how vegetation changes might affect the carbon, energy and water cycles. Historically, predictions have been heavily dependent upon observations of existing vegetation boundaries. In this paper, we attempt to predict ecosystem boundaries from the ``bottom up'', and illustrate the complexities and promise of this approach.
Predicting the distribution of vegetation under novel climates is important, both to understand...