Articles | Volume 14, issue 20
https://doi.org/10.5194/bg-14-4733-2017
https://doi.org/10.5194/bg-14-4733-2017
Research article
 | 
25 Oct 2017
Research article |  | 25 Oct 2017

An assessment of geographical distribution of different plant functional types over North America simulated using the CLASS–CTEM modelling framework

Rudra K. Shrestha, Vivek K. Arora, Joe R. Melton, and Laxmi Sushama

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Cited articles

Anav, A., Friedlingstein, P., Kidston, M., Bopp, L., Ciais, P., Cox, P., Jones, C., Jung, M., Myneni, R., and Zhu, Z.: Evaluating the land and ocean components of the global carbon cycle in the CMIP5 earth system models, J. Climate, 26, 6801–6843, https://doi.org/10.1175/JCLI-D-12-00417.1, 2013.
Arora, V. K.: Land surface modelling in general circulation models: a hydrological perspective, PhD Thesis, University of Melbourne, Melbourne, Australia, 1997.
Arora, V. K.: Simulating energy and carbon fluxes using coupled land surface and terrestrial ecosystem models, Agr. Forest Meteorol., 118, 21–47, 2003.
Arora, V. K. and Boer, G. J.: A representation of variable root distribution in dynamic vegetation models, Earth Interact., 7, 1–19, 2003.
Arora, V. K. and Boer, G. J.: A parameterization of leaf phenology for the terrestrial ecosystem component of climate models, Glob. Change Biol., 11, 39–59, 2005.
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Computer models of vegetation provide a tool to assess how future changes in climate may the affect geographical distribution of vegetation. However, such models must first be assessed for their ability to reproduce the present-day geographical distribution of vegetation. Here, we assess the ability of one such dynamic vegetation model. We find that while the model is broadly successful in reproducing the geographical distribution of trees and grasses in North America some limitations remain.
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