Home > Search Results: Cox, Peter M.
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Articles 2 records found  
1.
16 p, 2.2 MB Stomatal optimization based on xylem hydraulics (SOX) improves land surface model simulation of vegetation responses to climate / Eller, Cleiton B. (University of Campinas. Department of Plant Biology) ; Rowland, Lucy (University of Exeter. College of Life and Environmental Sciences) ; Mencuccini, Maurizio (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Rosas, Teresa (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Williams, Karina (Met Office Hadley Centre) ; Harper, Anna (University of Exeter. College of Engineering, Mathematics and Physical Sciences) ; Medlyn, Belinda E. (Western Sydney University. Hawkesbury Institute for the Environment) ; Wagner, Yael (Weizmann Institute of Science (Israel). Department of Plant and Environmental Sciences) ; Klein, Tamir (Weizmann Institute of Science (Israel). Department of Plant and Environmental Sciences) ; Teodoro, Grazielle S. (Federal University of Pará. Institute of Biological Sciences) ; Oliveira, Rafael S. (University of Campinas. Department of Plant Biology) ; Matos, Ilaine S. (Rio de Janeiro State University. Department of Ecology) ; Rosado, Bruno H. P. (Rio de Janeiro State University. Department of Ecology) ; Fuchs, Kathrin (ETH Zurich) ; Wohlfahrt, Georg (University of Innsbruck. Department of Ecology) ; Montagnani, Leonardo (Autonomous Province of Bolzano) ; Meir, Patrick (University of Edinburgh) ; Sitch, Stephen (University of Exeter. College of Life and Environmental Sciences) ; Cox, Peter M. (University of Exeter. College of Engineering, Mathematics and Physical Sciences)
Land surface models (LSMs) typically use empirical functions to represent vegetation responses to soil drought. These functions largely neglect recent advances in plant ecophysiology that link xylem hydraulic functioning with stomatal responses to climate. [...]
2020 - 10.1111/nph.16419
The new phytologist, Vol. 226, Issue 6 (June 2020) , p. 1622-1637  
Detailed record - Creative Commons
2.
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 (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, Andy J. (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, Gerhard (Max-Planck-Institut für Biogeochemie) ; Atkin, Owen K. (Australian National University. Research School of Biology) ; Bahn, Michael (Universität Innsbruck. Institut für Ökologie) ; Cornelissen, J. H. C. (Vrije Universiteit Amsterdam. Department of Ecological Science) ; Niinemets, Ülo (Eesti Teaduste Akadeemia) ; Onipchenko, Vladimir (Moskovskiĭ gosudarstvennyĭ universitet im. M.V. Lomonosova) ; Peñuelas, Josep (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Poorter, Lourens (Wageningen University. Forest Ecology and Forest Management Group) ; Reich, Peter (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  
Detailed record - Creative Commons

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