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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Volume 9, issue 7
Geosci. Model Dev., 9, 2415–2440, 2016
https://doi.org/10.5194/gmd-9-2415-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Model Dev., 9, 2415–2440, 2016
https://doi.org/10.5194/gmd-9-2415-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Development and technical paper 22 Jul 2016

Development and technical paper | 22 Jul 2016

Improved representation of plant functional types and physiology in the Joint UK Land Environment Simulator (JULES v4.2) using plant trait information

Anna B. Harper et al.

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Anav, A., Friedlingstein, F., Kidston, M., Bopp, L., Ciais, P., Cox, P. M., Jones, C. D., 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.
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Dynamic global vegetation models (DGVMs) are used to predict the response of vegetation to climate change. We improved the representation of carbon uptake by ecosystems in a DGVM by including a wider range of trade-offs between nutrient allocation to photosynthetic capacity and leaf structure, based on observed plant traits from a worldwide data base. The improved model has higher rates of photosynthesis and net C uptake by plants, and more closely matches observations at site and global scales.
Dynamic global vegetation models (DGVMs) are used to predict the response of vegetation to...
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