Modelling carbon and water balance of Eucalyptus plantations at regional scale: Effect of climate, soil and genotypes

Attia Ahmed, Nouvellon Yann, Cuadra Santiago, Cabral Osvaldo, Laclau Jean-Paul, Guillemot Joannès, Campoe Otávio, Stape Jose Luiz, Galdos Marcelo, Lamparelli Rubens Augusto Camargo, Le Maire Guerric. 2019. Modelling carbon and water balance of Eucalyptus plantations at regional scale: Effect of climate, soil and genotypes. Forest Ecology and Management, 449:117460, 13 p.

Journal article ; Article de revue à facteur d'impact
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Quartile : Q1, Sujet : FORESTRY

Abstract : Carbon and water budgets of forest plantations are spatially and temporally variable and hardly empirically predictable. We applied G'DAY, a process-based ecophysiological model, to simulate carbon and water budgets and stem biomass production of Eucalyptus plantations in São Paulo State, Brazil. Our main objective was to assess the drivers of spatial variability in plantation production at regional scale. We followed a multi-site calibration approach: the model was first parameterized using a detailed experimental dataset. Then a subset of the parameters were re-calibrated on two independent experimental datasets. An additional genotype-specific calibration of a subset of parameters was performed. Model predictions of key carbon-related variables (e.g., gross primary production, leaf area index and stem biomass) and key water-related variables (e.g., plant available water and evapotranspiration) agreed closely with measurements. Application of the model across ca. 27,500 ha of forests planted with different genotypes of Eucalyptus indicated that the model was able to capture 89% of stem biomass variability measured at different ages. Several factors controlling Eucalyptus production variability in time and space were grouped in three categories: soil, climate, and the planted genotype. Modelling analysis showed that calibrating the model for genotypic differences was critical for stem biomass prediction at regional scale, but that taking into account climate and soil variability significantly improved the results. We conclude that application of process-based models at regional scale can be used for accurate predictions of Eucalyptus production, provided that an accurate calibration of the model for key genotype-specific parameters is conducted.

Mots-clés Agrovoc : Eucalyptus grandis, Cycle du carbone, Besoin en eau, Plantation forestière, Production forestière

Mots-clés géographiques Agrovoc : Brésil

Mots-clés libres : Eucalyptus plantations, Ecophysiological model, G’DAY, Optimization, Productivity

Classification Agris : K10 - Forestry production
F60 - Plant physiology and biochemistry
F30 - Plant genetics and breeding

Champ stratégique Cirad : CTS 2 (2019-) - Transitions agroécologiques

Auteurs et affiliations

  • Attia Ahmed, UNICAMP (BRA)
  • Nouvellon Yann, CIRAD-PERSYST-UMR Eco&Sols (THA)
  • Cuadra Santiago, EMBRAPA (BRA)
  • Cabral Osvaldo, EMBRAPA (BRA)
  • Laclau Jean-Paul, CIRAD-DG-Saurs (FRA) ORCID: 0000-0002-2506-214X
  • Guillemot Joannès, CIRAD-PERSYST-UMR Eco&Sols (BRA) ORCID: 0000-0003-4385-7656
  • Campoe Otávio, UNESP (BRA)
  • Stape Jose Luiz, UNESP (BRA)
  • Galdos Marcelo, University of Leeds (GBR)
  • Lamparelli Rubens Augusto Camargo, UNICAMP (BRA)
  • Le Maire Guerric, CIRAD-PERSYST-UMR Eco&Sols (FRA) ORCID: 0000-0002-5227-958X - auteur correspondant

Source : Cirad-Agritrop (

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