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Articles, 1 registres trobats
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26 p, 4.4 MB Improved representation of plant functional types and physiology in the Joint UK Land Environment Simulator (JULES v4.2) using plant trait information / Harper, Anna B. (University of Exeter. College of Engineering, Mathematics, and Physical Science) ; Cox, Peter M. (University of Exeter. College of Engineering, Mathematics, and Physical Science) ; Friedlingstein, Pierre (University of Exeter. College of Engineering, Mathematics and Physical Sciences) ; Wiltshire (Great Britain. Meteorological Office) ; Jones, Chris D. (Great Britain. Meteorological Office) ; Sitch, Stephen (University of Exeter. College of Life and Environmental Sciences) ; Mercado, Lina M. (University of Exeter. College of Life and Environmental Sciences) ; Groenendijk, Margriet (University of Exeter. College of Life and Environmental Sciences) ; Robertson, Eddy (Great Britain. Meteorological Office) ; Kattge, Jens (Max Planck Institute for Biogeochemistry) ; Bönisch, G. (Max-Planck-Institut für Biogeochemie) ; Atkin, Owen K. (Australian National University. Research School of Biology) ; Bahn, Michael (Universität Innsbruck. Institut für Ökologie) ; Cornelissen, Johannes (Vrije Universiteit Amsterdam. Deptartment of Ecological Science) ; Niinemets, Ülo (Eesti Teaduste Akadeemia) ; Onipchenko, Vladimir (Moskovskiĭ gosudarstvennyĭ universitet im. M.V. Lomonosova) ; Peñuelas, Josep (Universitat Autònoma de Barcelona. Departament de Biologia Animal, de Biologia Vegetal i d'Ecologia) ; Poorter, Lourens (Wageningen University. Forest Ecology and Forest Management Group) ; Reich, Peter B. (University of Minnesota. Department of Forest Resources) ; Soudzilovskaia, Nadjeda A. (Rijksuniversiteit te Leiden. Centrum voor Milieuwetenschappen) ; Van Bodegom, Peter (Rijksuniversiteit te Leiden. Centrum voor Milieuwetenschappen)
Dynamic global vegetation models are used to predict the response of vegetation to climate change. They are essential for planning ecosystem management, understanding carbon cycle–climate feedbacks, and evaluating the potential impacts of climate change on global ecosystems. [...]
2016 - 10.5194/gmd-9-2415-2016
Geoscientific model development, Vol. 9 (2016) , p. 2415-2440  

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