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; 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

doi:10.1111/geb.12937

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

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

^*Corresponding author for this work

CNRS
Noveltis
University of Aberdeen
Edmund Mach Foundation
University of Colorado Boulder
Swiss Federal Institute of Technology Zurich
Michigan State University
Université Paris-Saclay
University of Wisconsin-Madison
Mediterranean Center for Environmental Studies
DG Joint Research Centre
Centre for Ecology and Hydrology
Université de Montpellier
Hokkaido University
Northern Arizona University
Oregon State University
Lund University
University of Helsinki
International Livestock Research Institute
Autonomous Province of Bolzano
Global Change Research Institute CAS
Russian Academy of Sciences
University of Innsbruck
Weizmann Institute of Science

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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 language	English
Journal	Global Ecology and Biogeography
Volume	28
Issue number	9
Pages (from-to)	1351-1365
ISSN	1466-822X
DOIs	https://doi.org/10.1111/geb.12937
Publication status	Published - 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 15 Life on Land

Keywords

Data assimilation
Optimization
ORCHIDEE
Plant acclimation
Plant functional traits
Terrestrial model

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10.1111/geb.12937

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Peaucelle, M., Bacour, C., Ciais, P., Vuichard, N., Kuppel, S., Peñuelas, J., Belelli Marchesini, L., Blanken, P. D., Buchmann, N., Chen, J., Delpierre, N., Desai, A. R., Dufrene, E., Gianelle, D., Gimeno-Colera, C., Gruening, C., Helfter, C., Hörtnagl, L., Ibrom, A., ... Viovy, N. (2019). Covariations between plant functional traits emerge from constraining parameterization of a terrestrial biosphere model. Global Ecology and Biogeography, 28(9), 1351-1365. https://doi.org/10.1111/geb.12937

@article{01025a0a22ff492bba612aa4433ccd2c,

title = "Covariations between plant functional traits emerge from constraining parameterization of a terrestrial biosphere model",

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.",

keywords = "Data assimilation, Optimization, ORCHIDEE, Plant acclimation, Plant functional traits, Terrestrial model",

author = "Marc Peaucelle and C{\'e}dric Bacour and Philippe Ciais and Nicolas Vuichard and Sylvain Kuppel and Josep Pe{\~n}uelas and \{Belelli Marchesini\}, Luca and Blanken, \{Peter D.\} and Nina Buchmann and Jiquan Chen and Nicolas Delpierre and Desai, \{Ankur R.\} and Eric Dufrene and Damiano Gianelle and Cristina Gimeno-Colera and Carsten Gruening and Carole Helfter and Lukas H{\"o}rtnagl and Andreas Ibrom and Richard Joffre and Tomomichi Kato and Kolb, \{Thomas E.\} and Beverly Law and Anders Lindroth and Ivan Mammarella and Lutz Merbold and Stefano Minerbi and Leonardo Montagnani and Ladislav {\v S}igut and Mark Sutton and Andrej Varlagin and Timo Vesala and Georg Wohlfahrt and Sebastian Wolf and Dan Yakir and Nicolas Viovy",

year = "2019",

doi = "10.1111/geb.12937",

language = "English",

volume = "28",

pages = "1351--1365",

journal = "Global Ecology and Biogeography",

issn = "1466-822X",

publisher = "Wiley-Blackwell",

number = "9",

}

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, vol. 28, no. 9, pp. 1351-1365. https://doi.org/10.1111/geb.12937

TY - JOUR

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

Y1 - 2019

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.

AB - 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.

KW - Data assimilation

KW - Optimization

KW - ORCHIDEE

KW - Plant acclimation

KW - Plant functional traits

KW - Terrestrial model

U2 - 10.1111/geb.12937

DO - 10.1111/geb.12937

M3 - Journal article

AN - SCOPUS:85068238647

SN - 1466-822X

VL - 28

SP - 1351

EP - 1365

JO - Global Ecology and Biogeography

JF - Global Ecology and Biogeography

IS - 9

ER -

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

Abstract

UN SDGs

Keywords

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