Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 8, issue 11
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.
https://doi.org/10.5194/gmd-8-3593-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 8, issue 11
Development and technical paper
 | 
06 Nov 2015
Development and technical paper |  | 06 Nov 2015

Taking off the training wheels: the properties of a dynamic vegetation model without climate envelopes, CLM4.5(ED)

R. A. Fisher, S. Muszala, M. Verteinstein, P. Lawrence, C. Xu, N. G. McDowell, R. G. Knox, C. Koven, J. Holm, B. M. Rogers, A. Spessa, D. Lawrence, and G. Bonan

Viewed

Total article views: 9,943 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
5,696 3,320 927 9,943 613 298 343
  • HTML: 5,696
  • PDF: 3,320
  • XML: 927
  • Total: 9,943
  • Supplement: 613
  • BibTeX: 298
  • EndNote: 343
Views and downloads (calculated since 29 Apr 2015)
Cumulative views and downloads (calculated since 29 Apr 2015)
Latest update: 03 Dec 2025
Download
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.
Read more
Share