Covariations between plant functional traits emerge from constraining parameterization of a terrestrial biosphere model

Marc Peaucelle, Cédric Bacour, Philippe Ciais, Nicolas Vuichard, Sylvain Kuppel, Josep Peñuelas, Luca Belelli Marchesini, Peter D. Blanken, Nina Buchmann, Jiquan Chen, Nicolas Delpierre, Ankur R. Desai, Eric Dufrene, Damiano Gianelle, Cristina Gimeno-Colera, Carsten Gruening, Carole Helfter, Lukas Hörtnagl, Andreas Ibrom, Richard Joffre & 16 others Tomomichi Kato, Thomas E Kolb, Beverly Law, Anders Lindroth, Ivan Mammarella, Lutz Merbold, Stefano Minerbi, Leonardo Montagnani, Ladislav Šigut, Mark Sutton, Andrej Varlagin, Timo Vesala, Georg Wohlfahrt, Sebastian Wolf, Dan Yakir, Nicolas Viovy

Research output: Contribution to journalArticle

Abstract

Aim: 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. Location: Worldwide. Time period: 1992–2012. Major taxa studied: Trees and C3 grasses. Methods: We optimized parameters of the ORCHIDEE model against 371 site-years of GPP estimates from the FLUXNET network, and we looked at global covariation among parameters and with climate. Results: The optimized parameter values were shown to be consistent with leaf-scale traits, in particular, with well-known trade-offs observed at the leaf level, echoing the leaf economic spectrum theory. Results showed a marked sensitivity of trait-related parameters to local bioclimatic variables and reproduced the observed relationships between traits and climate. Main conclusions: Our approach validates some biological processes implemented in the model and enables us to study ecological properties of vegetation at the canopy level, in addition to some traits that are difficult to observe experimentally. This study stresses the need for: (a) implementing explicit trade-offs and acclimation processes in TBMs; (b) improving the representation of processes to avoid model-specific parameterization; and (c) performing systematic measurements of traits at FLUXNET sites in order to gather information on plant ecophysiology and plant diversity, together with micro-meteorological conditions.

Original languageEnglish (US)
JournalGlobal Ecology and Biogeography
DOIs
StatePublished - Jan 1 2019

Fingerprint

biosphere
parameterization
acclimation
primary productivity
climate
leaves
productivity
ecophysiology
eddy covariance
biological processes
vegetation types
vegetation type
parameter
environmental conditions
canopy
grass
grasses
economics
environmental factors
vegetation

Keywords

  • data assimilation
  • optimization
  • ORCHIDEE
  • plant acclimation
  • plant functional traits
  • terrestrial model

ASJC Scopus subject areas

  • Global and Planetary Change
  • Ecology, Evolution, Behavior and Systematics
  • Ecology

Cite this

Covariations between plant functional traits emerge from constraining parameterization of a terrestrial biosphere model. / Peaucelle, Marc; Bacour, Cédric; Ciais, Philippe; Vuichard, Nicolas; Kuppel, Sylvain; Peñuelas, Josep; Belelli Marchesini, Luca; Blanken, Peter D.; Buchmann, Nina; Chen, Jiquan; Delpierre, Nicolas; Desai, Ankur R.; Dufrene, Eric; Gianelle, Damiano; Gimeno-Colera, Cristina; Gruening, Carsten; Helfter, Carole; Hörtnagl, Lukas; Ibrom, Andreas; Joffre, Richard; Kato, Tomomichi; Kolb, Thomas E; Law, Beverly; Lindroth, Anders; Mammarella, Ivan; Merbold, Lutz; Minerbi, Stefano; Montagnani, Leonardo; Šigut, Ladislav; Sutton, Mark; Varlagin, Andrej; Vesala, Timo; Wohlfahrt, Georg; Wolf, Sebastian; Yakir, Dan; Viovy, Nicolas.

In: Global Ecology and Biogeography, 01.01.2019.

Research output: Contribution to journalArticle

Peaucelle, M, Bacour, C, Ciais, P, Vuichard, N, Kuppel, S, Peñuelas, J, Belelli Marchesini, L, Blanken, PD, Buchmann, N, Chen, J, Delpierre, N, Desai, AR, Dufrene, E, Gianelle, D, Gimeno-Colera, C, Gruening, C, Helfter, C, Hörtnagl, L, Ibrom, A, Joffre, R, Kato, T, Kolb, TE, Law, B, Lindroth, A, Mammarella, I, Merbold, L, Minerbi, S, Montagnani, L, Šigut, L, Sutton, M, Varlagin, A, Vesala, T, Wohlfahrt, G, Wolf, S, Yakir, D & Viovy, N 2019, 'Covariations between plant functional traits emerge from constraining parameterization of a terrestrial biosphere model', Global Ecology and Biogeography. https://doi.org/10.1111/geb.12937
Peaucelle, Marc ; Bacour, Cédric ; Ciais, Philippe ; Vuichard, Nicolas ; Kuppel, Sylvain ; Peñuelas, Josep ; Belelli Marchesini, Luca ; Blanken, Peter D. ; Buchmann, Nina ; Chen, Jiquan ; Delpierre, Nicolas ; Desai, Ankur R. ; Dufrene, Eric ; Gianelle, Damiano ; Gimeno-Colera, Cristina ; Gruening, Carsten ; Helfter, Carole ; Hörtnagl, Lukas ; Ibrom, Andreas ; Joffre, Richard ; Kato, Tomomichi ; Kolb, Thomas E ; Law, Beverly ; Lindroth, Anders ; Mammarella, Ivan ; Merbold, Lutz ; Minerbi, Stefano ; Montagnani, Leonardo ; Šigut, Ladislav ; Sutton, Mark ; Varlagin, Andrej ; Vesala, Timo ; Wohlfahrt, Georg ; Wolf, Sebastian ; Yakir, Dan ; Viovy, Nicolas. / Covariations between plant functional traits emerge from constraining parameterization of a terrestrial biosphere model. In: Global Ecology and Biogeography. 2019.
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T1 - Covariations between plant functional traits emerge from constraining parameterization of a terrestrial biosphere model

AU - Peaucelle, Marc

AU - Bacour, Cédric

AU - Ciais, Philippe

AU - Vuichard, Nicolas

AU - Kuppel, Sylvain

AU - Peñuelas, Josep

AU - Belelli Marchesini, Luca

AU - Blanken, Peter D.

AU - Buchmann, Nina

AU - Chen, Jiquan

AU - Delpierre, Nicolas

AU - Desai, Ankur R.

AU - Dufrene, Eric

AU - Gianelle, Damiano

AU - Gimeno-Colera, Cristina

AU - Gruening, Carsten

AU - Helfter, Carole

AU - Hörtnagl, Lukas

AU - Ibrom, Andreas

AU - Joffre, Richard

AU - Kato, Tomomichi

AU - Kolb, Thomas E

AU - Law, Beverly

AU - Lindroth, Anders

AU - Mammarella, Ivan

AU - Merbold, Lutz

AU - Minerbi, Stefano

AU - Montagnani, Leonardo

AU - Šigut, Ladislav

AU - Sutton, Mark

AU - Varlagin, Andrej

AU - Vesala, Timo

AU - Wohlfahrt, Georg

AU - Wolf, Sebastian

AU - Yakir, Dan

AU - Viovy, Nicolas

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Aim: 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. Location: Worldwide. Time period: 1992–2012. Major taxa studied: Trees and C3 grasses. Methods: We optimized parameters of the ORCHIDEE model against 371 site-years of GPP estimates from the FLUXNET network, and we looked at global covariation among parameters and with climate. Results: The optimized parameter values were shown to be consistent with leaf-scale traits, in particular, with well-known trade-offs observed at the leaf level, echoing the leaf economic spectrum theory. Results showed a marked sensitivity of trait-related parameters to local bioclimatic variables and reproduced the observed relationships between traits and climate. Main conclusions: Our approach validates some biological processes implemented in the model and enables us to study ecological properties of vegetation at the canopy level, in addition to some traits that are difficult to observe experimentally. This study stresses the need for: (a) implementing explicit trade-offs and acclimation processes in TBMs; (b) improving the representation of processes to avoid model-specific parameterization; and (c) performing systematic measurements of traits at FLUXNET sites in order to gather information on plant ecophysiology and plant diversity, together with micro-meteorological conditions.

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KW - plant functional traits

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