Covariations between plant functional traits emerge from constraining parameterization of a terrestrial biosphere model
Peaucelle, Marc (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Bacour, Cédric (NOVELTIS)
Ciais, Philippe (Laboratoire des Sciences du Climat et de l'Environnement)
Vuichard, Nicolas (Laboratoire des Sciences du Climat et de l'Environment)
Kuppel, Sylvain (University of Aberdeen. Northern Rivers Institute)
Peñuelas, Josep (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Belelli Marchesini, Luca (Fondazione Edmund Mach. Centro Ricerca e Innovazione. Dipartimento di Agroecosistemi sostenibili e biorisorse)
Blanken, Peter D. (University of Colorado. Department of Geography)
Buchmann, Nina (ETH Zürich. Institute of Agricultural Sciences)
Chen, Jiquan (Michigan State University. Department of Geography and Spatial Sciences)
Delpierre, Nicolas (Univ. Paris-Sud. Ecologie Systématique Evolution)
Desai, Ankur (University of Wisconsin-Madison. Department of Atmospheric and Oceanic Sciences)
Dufrêne, Eric (Univ. Paris-Sud. Ecologie Systématique Evolution)
Gianelle, Daminao (Fondazione Edmund Mach. Centro Ricerca e Innovazione. Dipartimento di Agroecosistemi sostenibili e biorisorse)
Gimeno, Cristina (Fundació Centre d'Estudis Ambientals del Mediterrani)
Gruening, Carsten (European Commission, Joint Research Centre (Ispra, Itàlia))
Helfter, Carole (Centre for Ecology and Hydrology (Penicuik, Regne Unit))
Hörtnagl, Lukas (ETH Zürich. Institute of Agricultural Sciences)
Ibrom, Andreas (Technical University of Denmark. Department of Environmental Engineering)
Joffre, Richard (Université Paul-Valéry Montpellier. Centre d'Ecologie Fonctionnelle et Evolutive)
Kato, Tomomichi (Hokkaido University (Sapporo, Japó). Research Faculty of Agriculture)
Kolb, Thomas E. (Northern Arizona University. School of Forestry)
Law, Beverly (Oregon State University. Forest Ecosystems and Society Department)
Lindroth, Anders (Lund University. Department of Physical Geography and Ecosystem Science)
Mammarella, Ivan (Helsingfors Universitet. Department of Physics)
Merbold, Lutz (International Livestock Research Institute (Nairobi, Kènia))
Minerbi, Stefano (Autonomous Province of Bolzano. Forest Services)
Montagnani, Leonardo (Autonomous Province of Bolzano. Forest Services)
Šigut, Ladislav (Global Change Research Institute CAS. Department of Matter and Energy Fluxes (Brno, Txèquia))
Sutton, Mark (Centre for Ecology and Hydrology (Penicuik, Regne Unit))
Varlagin, Andrej (Russian Academy of Sciences. A.N. Severtsov Institute of Ecology and Evolution)
Vesala, Timo (University of Helsinki. Institute for Atmosphere and Earth System Research/Forest Sciences)
Wohlfahrt, Georg (Institute for Ecology, University of Innsbruck)
Wolf, Sebastian (ETH Zurich. Institute of Terrestrial Ecosystems)
Yakir, Dan (Weizmann Institute of Science (Israel))
Viovy, Nicolas (Laboratoire des Sciences du Climat et de l'Environnement)

Data:	2019
Resum:	The mechanisms of plant trait adaptation and acclimation are still poorly understood and, consequently, lack a consistent representation in terrestrial biosphere models (TBMs). Despite the increasing availability of geo-referenced trait observations, current databases are still insufficient to cover all vegetation types and environmental conditions. In parallel, the growing number of continuous eddy-covariance observations of energy and CO₂ fluxes has enabled modellers to optimize TBMs with these data. Past attempts to optimize TBM parameters mostly focused on model performance, overlooking the ecological properties of ecosystems. The aim of this study was to assess the ecological consistency of optimized trait-related parameters while improving the model performances for gross primary productivity (GPP) at sites.
Ajuts:	European Commission 610028
Drets:	Tots els drets reservats.
Llengua:	Anglès
Document:	Article ; recerca ; Versió acceptada per publicar
Matèria:	Assimilation ; Optimization ; ORCHIDEE ; Plant acclimation ; Plant functional traits ; Terrestrial model
Publicat a:	Global ecology and biogeography, Vol. 28, issue 9 (Sep. 2019) , p.1351-1365, ISSN 1466-822X

DOI: 10.1111/geb.12937

Postprint 42 p, 1.2 MB

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