GovindChenBernierEtAl2011

Référence

Govind, A., Chen, J.M., Bernier, P.Y., Margolis, H.A., Guindon, L. and Beaudoin, A. (2011) Spatially distributed modeling of the long-term carbon balance of a boreal landscape. Ecological Modelling, 222(15):2780-2795. (Scopus )

Résumé

Spatially and temporally distributed information on the sizes of biomass carbon (C) pools (BCPs) and soil C pools (SCPs) is vital for improving our understanding of biosphere-atmosphere C fluxes. Because the sizes of C pools result from the integrated effects of primary production, age-effects, changes in climate, atmospheric CO2 concentration, N deposition, and disturbances, a modeling scheme that interactively considers these processes is important. We used the InTEC model, driven by various spatio-temporal datasets to simulate the long-term C-balance in a boreal landscape in eastern Canada. Our results suggested that in this boreal landscape, mature coniferous stands had stabilized their productivity and fluctuated as a weak C-sink or C-source depending on the interannual variations in hydrometeorological factors. Disturbed deciduous stands were larger C-sinks (NEP2004=150gCm-2yr-1) than undisturbed coniferous stands (e.g. NEP2004=8gCm-2yr-1). Wetlands had lower NPP but showed temporally consistent C accumulation patterns. The simulated spatio-temporal patterns of BCPs and SCPs were unique and reflected the integrated effects of climate, plant growth and atmospheric chemistry besides the inherent properties of the C pool themselves. The simulated BCPs and SCPs generally compared well with the biometric estimates (BCPs: r=0.86, SCPs: r=0.84). The largest BCP biases were found in recently disturbed stands and the largest SCP biases were seen in locations where moss necro-masses were abundant. Reconstructing C pools and C fluxes in the ecosystem in such a spatio-temporal manner could help reduce the uncertainties in our understanding of terrestrial C-cycle. © 2011 Elsevier B.V.

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 { GovindChenBernierEtAl2011,
    AUTHOR = { Govind, A. and Chen, J.M. and Bernier, P.Y. and Margolis, H.A. and Guindon, L. and Beaudoin, A. },
    TITLE = { Spatially distributed modeling of the long-term carbon balance of a boreal landscape },
    JOURNAL = { Ecological Modelling },
    YEAR = { 2011 },
    VOLUME = { 222 },
    PAGES = { 2780-2795 },
    NUMBER = { 15 },
    ABSTRACT = { Spatially and temporally distributed information on the sizes of biomass carbon (C) pools (BCPs) and soil C pools (SCPs) is vital for improving our understanding of biosphere-atmosphere C fluxes. Because the sizes of C pools result from the integrated effects of primary production, age-effects, changes in climate, atmospheric CO2 concentration, N deposition, and disturbances, a modeling scheme that interactively considers these processes is important. We used the InTEC model, driven by various spatio-temporal datasets to simulate the long-term C-balance in a boreal landscape in eastern Canada. Our results suggested that in this boreal landscape, mature coniferous stands had stabilized their productivity and fluctuated as a weak C-sink or C-source depending on the interannual variations in hydrometeorological factors. Disturbed deciduous stands were larger C-sinks (NEP2004=150gCm-2yr-1) than undisturbed coniferous stands (e.g. NEP2004=8gCm-2yr-1). Wetlands had lower NPP but showed temporally consistent C accumulation patterns. The simulated spatio-temporal patterns of BCPs and SCPs were unique and reflected the integrated effects of climate, plant growth and atmospheric chemistry besides the inherent properties of the C pool themselves. The simulated BCPs and SCPs generally compared well with the biometric estimates (BCPs: r=0.86, SCPs: r=0.84). The largest BCP biases were found in recently disturbed stands and the largest SCP biases were seen in locations where moss necro-masses were abundant. Reconstructing C pools and C fluxes in the ecosystem in such a spatio-temporal manner could help reduce the uncertainties in our understanding of terrestrial C-cycle. © 2011 Elsevier B.V. },
    COMMENT = { Export Date: 17 August 2011 Source: Scopus CODEN: ECMOD doi: 10.1016/j.ecolmodel.2011.04.007 },
    ISSN = { 03043800 (ISSN) },
    KEYWORDS = { Biomass C pools [BCPs], Boreal ecosystem, Changes in atmospheric chemistry, Climate change, Disturbance, InTEC, Long-term C modeling, Soil C pools [SCPs], Boreal ecosystems, C modeling, Changes in atmospheric chemistry, Disturbance, InTEC, Atmospheric composition, Biometrics, Carbon dioxide, Climate change, Ecosystems, Lakes, Plants (botany), Atmospheric chemistry, age structure, annual variation, atmospheric chemistry, atmospheric deposition, bioaccumulation, biomass, biometry, boreal forest, carbon dioxide, carbon flux, climate change, concentration (composition), disturbance, integrated approach, landscape, maturation, nitrogen, numerical model, primary production, reconstruction, soil carbon, spatial distribution, spatiotemporal analysis, stand structure, uncertainty analysis, wetland, Canada, Bryophyta },
    OWNER = { Luc },
    TIMESTAMP = { 2011.08.17 },
    URL = { http://www.scopus.com/inward/record.url?eid=2-s2.0-79959650947&partnerID=40&md5=427857b3c9f1f1d2bd7e18626c796103 },
}

********************************************************** ***************** 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 - Symphonies_Boreales ****************** **********************************************************

********************************************************** ***************** 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...