GennarettiGea-IzquierdoBoucherEtAl2017

Référence

Gennaretti, F., Gea-Izquierdo, G., Boucher, E., Berninger, F., Arseneault, D. and Guiot, J. (2017) Ecophysiological modeling of photosynthesis and carbon allocation to the tree stem in the boreal forest. Biogeosciences, 14(21):4851-4866. (Scopus )

Résumé

A better understanding of the coupling between photosynthesis and carbon allocation in the boreal forest, together with its associated environmental factors and mechanistic rules, is crucial to accurately predict boreal forest carbon stocks and fluxes, which are significant components of the global carbon budget. Here, we adapted the MAIDEN ecophysiological forest model to consider important processes for boreal tree species, such as nonlinear acclimation of photosynthesis to temperature changes, canopy development as a function of previous-year climate variables influencing bud formation and the temperature dependence of carbon partition in summer. We tested these modifications in the eastern Canadian taiga using black spruce (<i>Picea mariana</i> (Mill.) B.S.P.) gross primary production and ring width data. MAIDEN explains 90�€% of the observed daily gross primary production variability, 73�€% of the annual ring width variability and 20-30�€% of its high-frequency component (i.e., when decadal trends are removed). The positive effect on stem growth due to climate warming over the last several decades is well captured by the model. In addition, we illustrate how we improve the model with each introduced model adaptation and compare the model results with those of linear response functions. Our results demonstrate that MAIDEN simulates robust relationships with the most important climate variables (those detected by classical response-function analysis) and is a powerful tool for understanding how environmental factors interact with black spruce ecophysiology to influence present-day and future boreal forest carbon fluxes.

Format EndNote

Vous pouvez importer cette référence dans EndNote.

Format BibTeX-CSV

Vous pouvez importer cette référence en format BibTeX-CSV.

Format BibTeX

Vous pouvez copier l'entrée BibTeX de cette référence ci-bas, ou l'importer directement dans un logiciel tel que JabRef .

@ARTICLE { GennarettiGea-IzquierdoBoucherEtAl2017,
    AUTHOR = { Gennaretti, F. and Gea-Izquierdo, G. and Boucher, E. and Berninger, F. and Arseneault, D. and Guiot, J. },
    TITLE = { Ecophysiological modeling of photosynthesis and carbon allocation to the tree stem in the boreal forest },
    JOURNAL = { Biogeosciences },
    YEAR = { 2017 },
    VOLUME = { 14 },
    NUMBER = { 21 },
    PAGES = { 4851-4866 },
    NOTE = { cited By 0 },
    ABSTRACT = { A better understanding of the coupling between photosynthesis and carbon allocation in the boreal forest, together with its associated environmental factors and mechanistic rules, is crucial to accurately predict boreal forest carbon stocks and fluxes, which are significant components of the global carbon budget. Here, we adapted the MAIDEN ecophysiological forest model to consider important processes for boreal tree species, such as nonlinear acclimation of photosynthesis to temperature changes, canopy development as a function of previous-year climate variables influencing bud formation and the temperature dependence of carbon partition in summer. We tested these modifications in the eastern Canadian taiga using black spruce (<i>Picea mariana</i> (Mill.) B.S.P.) gross primary production and ring width data. MAIDEN explains 90Ä�€% of the observed daily gross primary production variability, 73Ä�€% of the annual ring width variability and 20-30Ä�€% of its high-frequency component (i.e., when decadal trends are removed). The positive effect on stem growth due to climate warming over the last several decades is well captured by the model. In addition, we illustrate how we improve the model with each introduced model adaptation and compare the model results with those of linear response functions. Our results demonstrate that MAIDEN simulates robust relationships with the most important climate variables (those detected by classical response-function analysis) and is a powerful tool for understanding how environmental factors interact with black spruce ecophysiology to influence present-day and future boreal forest carbon fluxes. },
    AFFILIATION = { CEREGE, Aix-Marseille University, CNRS, IRD, Aix en Provence, France; Departamento de Sistemas y Recursos Forestales, CIFOR-INIA, Madrid, Spain; Département de Géographie, Université du Québec à Montréal, Montréal, Canada; Department of Forest Sciences, University of Helsinki, Helsinki, Finland; Département de Biologie, Chimie et Géographie, Université du Québec à Rimouski, Rimouski, Canada; INRA Centre Grand Est - Nancy, UMR1137 Ecologie et Ecophysiologie Forestières, Champenoux, France },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.5194/bg-14-4851-2017 },
    SOURCE = { Scopus },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-85033223696&doi=10.5194%2fbg-14-4851-2017&partnerID=40&md5=9b59443c6e250d14716434d1f34e5243 },
}

********************************************************** ***************** Facebook Twitter *********************** **********************************************************

Abonnez-vous à
l'Infolettre du CEF!

********************************************************** ************* Colloque **************************** **********************************************************

1er au 3 mai 2019
UQAC

********************************************************** ************* R à Québec 2019**************************** **********************************************************

********************************************************** ********************* Traits **************************** **********************************************************

********************************************************** ************* Écoles d'été et formation **************************** **********************************************************

Écoles d'été et formations

Cours intensif sur l'analyse des pistes 
6-10 mai 2019, Université de Sherbrooke
Cours intensif : Taxonomie et méthodes d’échantillonnage en tourbières 
6-17 mai 2019, Université Laval
Dendrochronological Fieldweek 2019 
16-21 mai 2019, Station FERLD
Traits Fonctionnels des Organismes - École thématique internationale
19-24 mai 2019, Porquerolles, France
Cours aux cycles supérieurs: Terrain avancé en géographie 
10-15 juin 2019, FERLD, Abitibi-Témiscamingue
École d'été « Drones et télédétection environnementale » 
13-14 juin 2019, Sherbrooke
Ecole d'été en Biologie et Ecologie intégratives 
6-12 juillet 2019, Pyrénées françaises
École d'été en modélisation de la biodiversité 
19-23 août 2019, Orford
Cours aux cycles supérieurs: Aménagement des écosystèmes forestiers 
19-30 août 2019, Station FERLD

********************************************************** ***************** Pub - Carapace ****************** **********************************************************

********************************************************** ***************** Pub - Budworm ****************** **********************************************************

********************************************************** ***************** Pub - Colibri **************************** **********************************************************

********************************************************** ********** Pub 6 - Au coeur de l'arbre *********** **********************************************************

...Une exposition
virtuelle sur l'arbre!

********************************************************** ***************** Boîte à trucs *************** **********************************************************

CEF-Référence
La référence vedette !

Jérémie Alluard (2016) Les statistiques au moments de la rédaction 

  • Ce document a pour but de guider les étudiants à intégrer de manière appropriée une analyse statistique dans leur rapport de recherche.

Voir les autres...