VEZY, Rémi; LE MAIRE, Guerric; CHRISTINA, Mathias; GEORGIOU, Selena; IMBACH, Pablo; HIDALGO, Hugo; ALFARO, Eric; BLITZ-FRAYRET, Céline; CHARBONNIER, Fabien; LEHNER, Peter; LOUSTAU, Denis; ROUPSARD, Olivier

doi:10.1016/j.envsoft.2019.104609

Métadonnées

Licence d’utilisation du document

VEZY, Rémi
Botanique et Modélisation de l'Architecture des Plantes et des Végétations [UMR AMAP]
Département Systèmes Biologiques [Cirad-BIOS]

LE MAIRE, Guerric
Ecologie fonctionnelle et biogéochimie des sols et des agro-écosystèmes [UMR Eco&Sols]
Département Performances des systèmes de production et de transformation tropicaux [Cirad-PERSYST]

CHRISTINA, Mathias
Agroécologie et intensification durables des cultures annuelles [UPR AIDA]
Département Performances des systèmes de production et de transformation tropicaux [Cirad-PERSYST]

Langue

Article de revue

Ce document a été publié dans

Environmental Modelling and Software. 2020-02, vol. 124, p. 104609

Elsevier

Résumé en anglais

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.< Réduire

Mots clés en anglais

GPP

MAESPA

Coffea arabica

Crop model

Plant-to-plot scale

Costa Rica

Coffee agroforestry

Agroforestry systems

Erythrina poeppigiana

URI

https://oskar-bordeaux.fr/handle/20.500.12278/195372

DOI

http://dx.doi.org/10.1016/j.envsoft.2019.104609

Project ANR

Modélisation pour l'accompagnement des ACteurs, vers l'Adaptation des Couverts pérennes ou agroforestiers aux Changements globaux - ANR-13-AGRO-0005

Origine

Importé de hal

Unités de recherche

Interactions Soil Plant Atmosphere (ISPA) - UMR 1391