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DynACof, a model fro growth, yield, carbon, water, energy balances and ecosystem services of Coffea in agroforestry

Vezy Rémi, Le Maire Guerric, Charbonnier Fabien, Christina Mathias, Georgiou Selena, Imbach Pablo, Hidalgo Hugo G., Alfaro Eric J., Blitz-Frayret Céline, Laclau Jean-Paul, Lehner Peter, Robelo Diego, Loustau Denis, Roupsard Olivier. 2019. DynACof, a model fro growth, yield, carbon, water, energy balances and ecosystem services of Coffea in agroforestry. In : 4th World Congress on Agroforestry. Book of abstracts. Dupraz Christian (ed.), Gosme Marie (ed.), Lawson Gerry (ed.). CIRAD, INRA, World Agroforestry, Agropolis International, MUSE. Montpellier : CIRAD-INRA, Résumé, p. 820. World Congress on Agroforestry. 4, Montpellier, France, 20 May 2019/22 May 2019.

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Abstract : Agroforestry systems (AFS) are complex to model mainly due to the high spatial variability induced by the shade trees. Recently, the microclimate and lighf heterogeneity issue in AFS has been addressed using the 30 ecophysiological process-based model MAESPA (Charbonnier et al., 2013; Vezy et al., 2018). MAESPA surpassed the classical sun/shade dichotomy in AFS (Charbonnier et al., 2014) and provided continuous maps of e.g. available light, light-use~ fficiency and canopy temperature within Coffea Agroforestry Systems (GAS). A step further was to design a crop model for Coffea grown under agroforestry that would benefit from this continuum to estimate ecosystem services on the long term and under climate change scenarios. We designed DynA_Cof, a new process-based growth and yield model to compute plot-scale net and gross primary productivity, carbon allocation, growth, yield, energy, and water balance of GAS according to shade tree species and management, while accounting for fine-scale spatial effects using MAESPA metamodels (Figure 1). DynA_Cof satisfactorily simulated the daily plot-scale gross primary productivity (RMSE= 1.69 gc m-2 d-1 on 1562 days) and the energy and water balances (RMSE: AET = 0.63 mm d-1 , H= 1.27 MJ m-2 d-1, Rn= 1.98 MJ m-2 d-1) compared to measurements from an eddy-flux tower in Aquiares (Costa Rica) and also the NPP for above and below-ground organs, coffee bean yield and shade tree wood production compared to a comprehensive database from this site.

Mots-clés Agrovoc : Agroforesterie, Arbre d'ombrage, Rendement des cultures, Coffea arabica

Mots-clés géographiques Agrovoc : Costa Rica

Mots-clés libres : Agroforestry, Sustainability

Classification Agris : F08 - Cropping patterns and systems
K10 - Forestry production
F62 - Plant physiology - Growth and development
P01 - Nature conservation and land resources

Auteurs et affiliations

  • Vezy Rémi, CIRAD-BIOS-UMR AMAP (FRA) ORCID: 0000-0002-0808-1461
  • Le Maire Guerric, CIRAD-PERSYST-UMR Eco&Sols (FRA) ORCID: 0000-0002-5227-958X
  • Charbonnier Fabien
  • Christina Mathias, CIRAD-PERSYST-UPR AIDA (REU) ORCID: 0000-0003-3618-756X
  • Georgiou Selena, CATIE (CRI)
  • Imbach Pablo, CATIE (CRI)
  • Hidalgo Hugo G., UCR (CRI)
  • Alfaro Eric J., UCR (CRI)
  • Blitz-Frayret Céline, CIRAD-PERSYST-UMR Eco&Sols (FRA)
  • Laclau Jean-Paul, CIRAD-DG-Direction générale/Service d'appui auprès des unités de recherche et des services (FRA) ORCID: 0000-0002-2506-214X
  • Lehner Peter, Cafetalera Aquiares (CRI)
  • Robelo Diego, Cafetalera Aquiares (CRI)
  • Loustau Denis, INRA (FRA)
  • Roupsard Olivier, CIRAD-PERSYST-UMR Eco&Sols (SEN)

Autres liens de la publication

Source : Cirad-Agritrop (https://agritrop.cirad.fr/593062/)

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