DynACof: A process-based model to study growth, yield and ecosystem services of coffee agroforestry systems. (February 2020)

• Record Type: Journal Article
• Authors: 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
• Is Part Of: Environmental modelling & software. Volume 124(2020)
• Publication Date: 2020-02
• Subjects: Crop model -- Coffea arabica -- MAESPA -- GPP -- Erythrina poeppigiana -- Plant-to-plot scale; Environmental monitoring -- Computer programs -- Periodicals; Ecology -- Computer simulation -- Periodicals; Digital computer simulation -- Periodicals; Computer software -- Periodicals; Environmental Monitoring -- Periodicals; Computer Simulation -- Periodicals; Environnement -- Surveillance -- Logiciels -- Périodiques; Écologie -- Simulation, Méthodes de -- Périodiques; Simulation par ordinateur -- Périodiques; Logiciels -- Périodiques; Computer software; Digital computer simulation; Ecology -- Computer simulation; Environmental monitoring -- Computer programs; Periodicals; Electronic journals; 363.70015118
• DOI: 10.1016/j.envsoft.2019.104609
• Languages: English
• ISSNs: 1364-8152

Abstract

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. Graphical abstract: Image 1 Highlights: DynACof simulates NPP, carbon allocation, growth, yield, energy and water balance. It accounts for spatial effects using metamodels from the 3D process-based MAESPA. Leaf and air temperature inside the canopy are computed to control plant growth. It successfully simulated the fluxes (energy, water, carbon), growth and yield. DynACof can be used to optimize coffee AFS, e.g. facing climate changes.