Predicting vegetation type through physiological and environmental interactions with leaf traits: evergreen and deciduous forests in an earth system modeling framework
Funding was provided by USDA Forest Service Northern Research Station (Agreement 13-JV-11242315-066) and Princeton Environment Institute. We thank Dr. Sergey Malyshev for his help in preparing forcing data and Dr. Cleo Chou for her helpful comments on an earlier version of this manuscript. We thank Prof. I. Colin Prentice and other three reviewers for their insightful comments and suggestions, which greatly improved this manuscript. This work was conducted while CEF was a postdoctoral fellow at the National Institute for Mathematical and Biological Synthesis, sponsored by the National Science Foundation through NSF Award #DBI-1300426, with additional support from The University of Tennessee, Knoxville.
Department of Ecology & Evolutionary Biology, Princeton University, Princeton, NJ, United States; Department of Integrative Biology, University of Texas at Austin, Austin, TX, United States; Institute of Environmental Sustainability, Loyola University Chicago, Chicago, IL, United States
Recommended Citation:
Weng E.,Farrior C.E.,Dybzinski R.,et al. Predicting vegetation type through physiological and environmental interactions with leaf traits: evergreen and deciduous forests in an earth system modeling framework[J]. Global Change Biology,2017-01-01,23(6)