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)

Data: 2016
Resum: 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. JULES (the Joint UK Land Environment Simulator) represents terrestrial processes in the UK Hadley Centre family of models and in the first generation UK Earth System Model. Previously, JULES represented five plant functional types (PFTs): broadleaf trees, needle-leaf trees, C₃ and C₄ grasses, and shrubs. This study addresses three developments in JULES. First, trees and shrubs were split into deciduous and evergreen PFTs to better represent the range of leaf life spans and metabolic capacities that exists in nature. Second, we distinguished between temperate and tropical broadleaf evergreen trees. These first two changes result in a new set of nine PFTs: tropical and temperate broadleaf evergreen trees, broadleaf deciduous trees, needle-leaf evergreen and deciduous trees, C₃ and C₄ grasses, and evergreen and deciduous shrubs. Third, using data from the TRY database, we updated the relationship between leaf nitrogen and the maximum rate of carboxylation of Rubisco (Vcmax), and updated the leaf turnover and growth rates to include a trade-off between leaf life span and leaf mass per unit area. Overall, the simulation of gross and net primary productivity (GPP and NPP, respectively) is improved with the nine PFTs when compared to FLUXNET sites, a global GPP data set based on FLUXNET, and MODIS NPP. Compared to the standard five PFTs, the new nine PFTs simulate a higher GPP and NPP, with the exception of C₃ grasses in cold environments and C₄ grasses that were previously over-productive. On a biome scale, GPP is improved for all eight biomes evaluated and NPP is improved for most biomes – the exceptions being the tropical forests, savannahs, and extratropical mixed forests where simulated NPP is too high. With the new PFTs, the global present-day GPP and NPP are 128 and 62 Pg C year−1, respectively. We conclude that the inclusion of trait-based data and the evergreen/deciduous distinction has substantially improved productivity fluxes in JULES, in particular the representation of GPP. These developments increase the realism of JULES, enabling higher confidence in simulations of vegetation dynamics and carbon storage.
Nota: Número d'acord de subvenció EC/FP7/322603
Nota: Número d'acord de subvenció EC/FP7/610028
Drets: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. Creative Commons
Llengua: Anglès
Document: article ; recerca ; publishedVersion
Publicat a: Geoscientific model development, Vol. 9 (2016) , p. 2415-2440, ISSN 1991-959X

DOI: 10.5194/gmd-9-2415-201

26 p, 4.4 MB

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Documents de recerca > Documents dels grups de recerca de la UAB > Centres i grups de recerca (producció científica) > Ciències > CREAF (Centre de Recerca Ecològica i d'Aplicacions Forestals) > Imbalance-P
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 Registre creat el 2016-08-05, darrera modificació el 2018-04-29

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