DynACof: A process-based model to study growth, yield and ecosystem services of coffee agroforestry systems

Vezy Rémi, Le Maire Guerric, Christina Mathias, Georgiou Selena, Imbach Pablo, Hidalgo Hugo G., Alfaro Eric J., Blitz-Frayret Céline, Charbonnier Fabien, Lehner Peter, Loustau Denis, Roupsard Olivier. 2020. DynACof: A process-based model to study growth, yield and ecosystem services of coffee agroforestry systems. Environmental Modelling and Software, 124:104609, 25 p.

Journal article ; Article de recherche ; Article de revue à facteur d'impact
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Liste HCERES des revues (en SHS) : oui

Thème(s) HCERES des revues (en SHS) : Géographie-Aménagement-Urbanisme-Architecture

Abstract : The DynACof model was designed to model coffee agroforestry systems and study the trade-offs to e.g. optimize the system facing climate changes. The model simulates net primary productivity (NPP), growth, yield, mortality, energy and water balance of coffee agroforestry systems according to shade tree species and management. Several plot-scale ecosystem services are simulated by the model, such as production, canopy cooling effect, or potential C sequestration. DynACof uses metamodels derived from a detailed 3D process-based model (MAESPA) to account for complex spatial effects, while running fast. It also includes a coffee flower bud and fruit cohort module to better distribute fruit carbon demand over the year, a key feature to obtain a realistic competition between sinks. The model was parameterized and evaluated using a highly comprehensive database on a coffee agroforestry experimental site in Costa Rica. The fluxes simulated by the model were close to the measurements over a 5-year period (nRMSE = 26.27 for gross primary productivity; 28.22 for actual evapo-transpiration, 53.91 for sensible heat flux and 15.26 for net radiation), and DynACof satisfactorily simulated the yield, NPP, mortality and carbon stock for each coffee organ type over a 35-year rotation.

Mots-clés Agrovoc : Modélisation des cultures, Modèle de simulation, Coffea, Agroforesterie, services écosystémiques, Rendement des cultures, santé des plantes

Mots-clés géographiques Agrovoc : Costa Rica

Mots-clés libres : Crop model, Coffee, Agroforestry, Modelling, Ecosystem services

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

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

Agence de financement hors UE : Agence Nationale de la Recherche

Auteurs et affiliations

  • Vezy Rémi, CIRAD-BIOS-UMR AMAP (FRA) ORCID: 0000-0002-0808-1461 - auteur correspondant
  • Le Maire Guerric, CIRAD-PERSYST-UMR Eco&Sols (FRA) ORCID: 0000-0002-5227-958X
  • 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)
  • Charbonnier Fabien, CATIE (CRI)
  • Lehner Peter, Cafetalera Aquiares (CRI)
  • Loustau Denis, INRA (FRA)
  • Roupsard Olivier, CIRAD-PERSYST-UMR Eco&Sols (SEN)

Source : Cirad-Agritrop (

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