Agritrop
Home

Modifying the G'DAY process-basedmodel to simulate the spatial variability of Eucalyptus plantation growth on deep tropical soils

Marsden Claire, Nouvellon Yann, Laclau Jean-Paul, Corbeels Marc, McMurtrie Ross E., Stape Jose Luiz, Epron Daniel, Le Maire Guerric. 2013. Modifying the G'DAY process-basedmodel to simulate the spatial variability of Eucalyptus plantation growth on deep tropical soils. Forest Ecology and Management, 301 : pp. 112-128.

Journal article ; Article de revue à facteur d'impact
[img] Published version - Anglais
Access restricted to CIRAD agents
Use under authorization by the author or CIRAD.
document_569089.pdf

Télécharger (845kB)

Quartile : Q1, Sujet : FORESTRY

Abstract : Large differences in productivity have been observed between neighboring Eucalyptus plantations in Brazil, that cannot be explained by climate and are unlikely to be due solely to altered management practices. Current ecophysiological models used by forestry companies to simulate stand development in large plantation zones rely on empirical site fertility indices (representing water and nutrient availability) to capture this spatial variability in growth rates. We propose a model that requires no empirical assessment of site fertility to simulate stand growth over entire rotations. We applied a modified version of the G'DAY model of carbon, nitrogen and water cycling at a daily time step to short-rotation plantations located in São Paulo State, including a simple mechanistic description of the effect of water availability on growth. The progressive and rapid root exploration of deep soil layers was modeled in a simple way, by considering that maximum plant available water increased with mean tree height. The model was parameterized using detailed measurements made over the entire rotation of an experimental stand of Eucalyptus grandis, and was subsequently applied to 16 clonal stands managed in a similar way by one company, but with different planting dates and contrasting productivity levels. Stem biomass simulations, driven by daily weather data (maximum and minimum air temperatures, global radiation and rainfall), were strongly correlated with company inventory estimates of stem biomass carried out at different ages. The temporal variation of leaf area index was also adequately simulated, as was shown by comparison with leaf area index derived from satellite data. The model was able to capture more than 95% of the variability of standing stem biomass and more than 85% of the variability of stem growth measured on these stands, provided spatial differences in soil water holding capacity were taken into account. (Résumé d'auteur)

Mots-clés Agrovoc : Eucalyptus, Modèle de simulation, Modélisation des cultures, Eau disponible, Indice de surface foliaire, Physiologie végétale, Croissance, Développement biologique, Conditions météorologiques, Sol tropical

Mots-clés géographiques Agrovoc : Brésil

Classification Agris : K10 - Forestry production
F62 - Plant physiology - Growth and development
U10 - Computer science, mathematics and statistics

Champ stratégique Cirad : Axe 1 (2005-2013) - Intensification écologique

Auteurs et affiliations

  • Marsden Claire, IRC [Institut des régions chaudes] (FRA)
  • Nouvellon Yann, CIRAD-PERSYST-UMR Eco&Sols (BRA)
  • Laclau Jean-Paul, CIRAD-PERSYST-UMR Eco&Sols (BRA) ORCID: 0000-0002-2506-214X
  • Corbeels Marc, CIRAD-PERSYST-UPR SCA (BRA)
  • McMurtrie Ross E., University of New South Wales (AUS)
  • Stape Jose Luiz, North Carolina State University (USA)
  • Epron Daniel, CIRAD-PERSYST-UMR Eco&Sols (FRA)
  • Le Maire Guerric, CIRAD-PERSYST-UMR Eco&Sols (FRA) ORCID: 0000-0002-5227-958X

Source : Cirad - Agritrop (https://agritrop.cirad.fr/569089/)

View Item (staff only) View Item (staff only)

[ Page générée et mise en cache le 2021-03-27 ]