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Coupling a 3D light interception with a growth and yield model to adjust shade evel in coffee agroforestry systems simulated under climate change

hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorVEZY, Rémi
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorDESHORS-PICART, Delphine
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorCHRISTINA, Mathias
hal.structure.identifierEcologie des Forêts Méditerranéennes [URFM]
dc.contributor.authorSOMA, Maxime
hal.structure.identifierCentro Agronomico Tropical de Investigacion y Ensenanza [CATIE]
dc.contributor.authorGEORGIOU, Selena
hal.structure.identifierEcologie fonctionnelle et biogéochimie des sols et des agro-écosystèmes [UMR Eco&Sols]
dc.contributor.authorROUPSARD, Olivier
hal.structure.identifierEcologie fonctionnelle et biogéochimie des sols et des agro-écosystèmes [UMR Eco&Sols]
dc.contributor.authorCHARBONNIER, Fabien
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorLOUSTAU, Denis
hal.structure.identifierCentro Agronomico Tropical de Investigacion y Ensenanza [CATIE]
dc.contributor.authorIMBACH, Pablo
hal.structure.identifierUniversidad de Costa Rica [UCR]
dc.contributor.authorHIDALGO, Hugo G.
hal.structure.identifierCentro de Investigaciones Geofísicas (CIGEFI)
dc.contributor.authorALFARO, Eric J.
hal.structure.identifierEcologie fonctionnelle et biogéochimie des sols et des agro-écosystèmes [UMR Eco&Sols]
dc.contributor.authorLE MAIRE, Guerric
dc.date.accessioned2024-04-08T12:10:30Z
dc.date.available2024-04-08T12:10:30Z
dc.date.issued2016
dc.date.conference2016-06-20
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/196635
dc.description.abstractEnMany agronomic systems could be at risk considering the shorter-term climate changes but several effects and interactions are still uncertain. Process-based models (PBMs) are generally well suited for predictions under new conditions but their complexity causes high computational demand which limits their application. This is particularly true for complex multi-layer or agroforestry systems requiring plant-scale simulations in 3D. An alternative is to summarize their outputs in statistical models called metamodels, which can be used afterwards rapidly in a prediction mode. These metamodels also 1) allow to understand better the processes within the source model (uncertainty and sensitivity analysis) and 2) can be used for coupling different spatial or time scales models. Coffee growth and fruit production are particularly sensitive to high temperatures and water availability, and previous studies often predicts future huge loss of productions or area cover. Nevertheless, shade provided in agroforestry systems could mitigate the effects of climate changes under different management options. In this study, we modeled several management options of coffee agroforestry systems, e.g. shade tree density and species, and the use of a hybrid cultivar of coffee to estimate their suitability and provision of ecosystem services under predicted future climate changes. In Tarrazu (Costa Rica), the models for future climate (AR5, statistically downscaled) predicted an increase of air temperature, while rainfall would remain at similar levels. Two numeric models were coupled using metamodels, a tree scale PBM (MAESPA) for extinction coefficients (diffuse and direct K) and light-use efficiency (LUE) simulations, and a plot scale PBM (GO+) for growth and yield simulations. A rating between management scenarios was then proposed by comparing canopy temperature, coffee and timber yield, carbon balance and water use of past and future coffee growth cycles, under the two contrasted RCP4.5 and 8.5 future climatic scenarios. First results show that management could strongly impact coffee canopy temperature, light use efficiency, water use efficiency and photosynthesis, which are the main drivers of coffee plant fitness and thus coffee beans production potential. Figure 1 shows that coffee grown under shade trees had reduced mean canopy temperature (-1.22°C*** and -2.21°C*** for E. poeppigiana and C. alliodora respectively) compared to full sun management, while showing a moderate reduction of net photosynthesis (-21.6%*** and -17.8%*** resp.) thanks to an increased light use efficiency (+23.4%*** and +26.2%*** resp). Also, Coffee is particularly sensitive to maximum daily temperature, and results showed that in near future (2030-2049), all C. alliodora densities (i.e. 50-75-100-125 Trees.ha-1) and E. poeppigiana 350 Trees.ha-1 density will be able to significantly reduce the maximum daily canopy temperature (down to -6.83°C*** in average for C. alliodora with 125 Trees.ha-1) compared to full sun plantations on the same period (Figure 2). Moreover, simulations showed negative maximum temperature effect on assimilation was present under full sun management only, and eventually largely compensated by positive [CO2] effect (Figure 3). These findings could drive climate change adaptations options, as the scenarios made from the simulations will now be presented to stakeholders to assess their adoptability according to their performance. Figure 1. Shade effect (average for all shade tree densities) on -from left to right- coffee canopy temperature, canopy net assimilation and light use efficiency. C. alliodora and E. poeppigiana densities range: 50 to 125 and 200 to 400 Trees.ha-1 respectively. Results from MAESPA simulations. Figure 2. Mitigation of maximum daily coffee canopy temperature by shade tree density (simulations for the period between 2030 and 2049). Figure 3. Effects of maximum daily canopy temperature and CO2 compensation interaction on coffee canopy assimilation and coffee canopy respiration under three shade management.
dc.language.isoen
dc.subjectagroforesterie
dc.subjectcafé
dc.subjectmodèle de simulation de culture
dc.subject.encoffee
dc.title.enCoupling a 3D light interception with a growth and yield model to adjust shade evel in coffee agroforestry systems simulated under climate change
dc.typeCommunication dans un congrès
dc.subject.halSciences de l'environnement/Milieux et Changements globaux
bordeaux.pagenp
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.conference.title32. Conference on Agricultural and Forest Meteorology
bordeaux.countryUS
bordeaux.conference.citySalt Lake City
bordeaux.peerReviewednon
hal.identifierhal-01594735
hal.version1
hal.invitednon
hal.proceedingsoui
hal.conference.organizerAmerican Meteorological Society (AMS). USA.
hal.conference.end2016-06-24
hal.popularnon
hal.audienceNon spécifiée
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01594735v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2016&rft.spage=np&rft.epage=np&rft.au=VEZY,%20R%C3%A9mi&DESHORS-PICART,%20Delphine&CHRISTINA,%20Mathias&SOMA,%20Maxime&GEORGIOU,%20Selena&rft.genre=unknown


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