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Modeling the environmental and seasonal influence on canopy dynamic and litterfall of even-aged forest ecosystems by a model coupling growth & yield and process-based approaches

Sainte-Marie Julien, Henrot A., Barrandon M., Nouvellon Yann, Roupsard Olivier, Laclau Jean-Paul, Sainte-André L.. 2012. Modeling the environmental and seasonal influence on canopy dynamic and litterfall of even-aged forest ecosystems by a model coupling growth & yield and process-based approaches. In : Plant growth modeling, simulation, visualization and applications. Proceedings PMA12 : The Fourth International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications, Shanghai, China, 31 October-3 November 2012. Kang Meng Zhen (ed.), Dumont Yves (ed.), Guo Yan (ed.). Piscataway : IEEE, pp. 324-331. ISBN 978-1-4673-0068-1 International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications (PMA12). 4, Shanghai, Chine, 31 October 2012/3 November 2012.

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Abstract : The aim is to propose a dynamic model of forest growth and biomass suitable to varied ecosystems with different species, soil types, climate conditions and forest managements. This model is combining different approaches (growth and yield, process-based and biogeochemical cycles) to take into account carbon, water and nutrient cycles and to include several processes such as wood production, transpiration, litterfall, litter decomposition or losses of nutrients by drainage. Such a model is necessary to anticipate and adapt forest management under different environmental and management scenarii (global changes). Considering the whole forest ecosystem, the seasonality of canopy dynamics and litterfall production is involved in key processes: photosynthesis and carbon production, stand transpiration and water cycle, litter decomposition and nutrient cycling. A dynamical probabilistic model for leaves demography has been created. This model is strongly constrained by environmental factors and is able to rank their influences. Model adjustment can highlight relationships between different scales of processes involved, from cellular-scale to stand-scale. The aim is to provide: i) a predicting model suitable to a large range of ecosystems, ii) hierarchical analyses of the environmental processes driving canopy dynamics. (Résumé d'auteur)

Classification Agris : U10 - Mathematical and statistical methods
K01 - Forestry - General aspects
P40 - Meteorology and climatology
F40 - Plant ecology
F62 - Plant physiology - Growth and development

Auteurs et affiliations

  • Sainte-Marie Julien, Université de Nancy I (FRA)
  • Henrot A., Université de Nancy I (FRA)
  • Barrandon M., Université de Nancy I (FRA)
  • Nouvellon Yann, CIRAD-PERSYST-UMR Eco&Sols (BRA)
  • Roupsard Olivier, CIRAD-PERSYST-UMR Eco&Sols (CRI)
  • Laclau Jean-Paul, CIRAD-PERSYST-UMR Eco&Sols (BRA) ORCID: 0000-0002-2506-214X
  • Sainte-André L., INRA (FRA)

Autres liens de la publication

Source : Cirad - Agritrop (https://agritrop.cirad.fr/566408/)

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