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Your search keyword '"Ramarohetra, J."' showing total 5 results
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5 results on '"Ramarohetra, J."'

1. La Smart Agriculture au service de la gestion des risques phytosanitaires agricoles

Author

Le Grusse, P., Oussama MGHIRBI, Trabelsi, M., Mandart, E., Fabre, J., Nembrot, I., Arredondo, S. J., Bromblet, L., Abarca, F., Ramarohetra, J., Gabriac, D., Louvet, S., Caubel, J., P Boulanger, J., Gouvernance, Risque, Environnement, Développement (GRED), Université Paul-Valéry - Montpellier 3 (UPVM)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier (CIHEAM-IAMM), Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM), Ecoclimasol, and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)

Subjects
PREVISION, PESTICIDES, INNOVATION, PESTICIDE, GESTION DU RISQUE, TREATMENT FREQUENCY INDEX, [SDV.SA.AEP]Life Sciences [q-bio]/Agricultural sciences/Agriculture, economy and politics, INDICATEUR DE FREQUENCE DE TRAITEMENT, FORECAST, RISK MANAGEMENT, [SHS]Humanities and Social Sciences
Abstract

Résumés court et étendu. Session : Politique publique et prévention; National audience

Published
2018

2. ClimaVista : une plateforme web pour une meilleure gestion intégrée des pratiques agricoles

Author

Gabriac, D., Ramarohetra, J., Nembrot, I., Arredondo, S.J., Bromblet, L., Abarca, F., Louvet, S., Caubel, J., Boulanger, J.-P., Mghirbi, Oussama, Trabelsi, M., Mandart, E., Fabre, J., Le Grusse, Philippe, Ecoclimasol, Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier (CIHEAM-IAMM), Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM), Gouvernance, Risque, Environnement, Développement (GRED), Université Paul-Valéry - Montpellier 3 (UPVM)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)

Subjects
PRATIQUE AGRICOLE, TECHNIQUE DE PREVISION, WEATHER FORECASTING, PREVISION METEOROLOGIQUE, AGRICULTURE NUMERIQUE, [SDV.SA.AEP]Life Sciences [q-bio]/Agricultural sciences/Agriculture, economy and politics, DECISION SUPPORT, INFORMATION SYSTEMS, AGROECOLOGIE, [SHS]Humanities and Social Sciences, INTEGRATED MANAGEMENT, PESTICIDES, AGROECOLOGY, FORECASTING, PESTICIDE, GESTION DU RISQUE, ComputingMethodologies_GENERAL, SMART AGRICULTURE, AIDE A LA DECISION, INTERNET, SYSTEME D'INFORMATION, AGRICULTURAL PRACTICES, ComputingMilieux_MISCELLANEOUS, GESTION INTEGREE, RISK MANAGEMENT
Abstract

Résumé du poster; National audience

Published
2018

3. Impact of ET0 method on the simulation of historical and future crop yields : a case study of millet growth in Senegal

Author

Ramarohetra, J. and Sultan, Benjamin

Subjects
modelling, climate change, crop model, West Africa, evapotranspiration, uncertainties, ET0
Abstract

The reference evapotranspiration (ET0) is an integrated climatic variable from which many crop models derive simulated crop yields. In most of these models, different equations are parameterized leaving the choice of the equation to the user. However, the impact of the choice of the ET0 equations on crop yield prediction has been little studied. The present study proposes a sensitivity analysis of the impact of the choice of the ET0 equation on simulated millet yields using SARRA-H crop model over 12 Senegalese stations representative of the Sudano-Sahelian climate conditions of West Africa. Priestley-Taylor, a modified Priestley-Taylor and Hargreaves equations lead to simulated yields up to 19% than those calculated using the Penman-Monteith equation. Despite high biases in wind speed, among the tested methods, the Penman-Monteith method remains the most robust to derive ET0 and yield over the major part of Senegal, Hargreaves equation being more appropriated under dry climates. The choice of ET0 formulation introduces uncertainties representing 8% of baseline yield regardless of precipitation changes; for wet conditions these uncertainties approach 30% of the overall climate change impact. The choice of ET0 equation is increasingly important, with local temperature changes out to 4 degrees C, while extreme changes above 6 degrees C depend less on the ET0 equation.

Published
2018

5. Large uncertainties in trends of energy demand for heating and cooling under climate change.

Author

Deroubaix A, Labuhn I, Camredon M, Gaubert B, Monerie PA, Popp M, Ramarohetra J, Ruprich-Robert Y, Silvers LG, and Siour G

Abstract

The energy demand for heating and cooling buildings is changing with global warming. Using proxies of climate-driven energy demand based on the heating and cooling Degree-Days methodology applied to thirty global climate model simulations, we show that, over all continental areas, the climate-driven energy demand trends for heating and cooling were weak, changing by less than 10% from 1950 to 1990, but become stronger from 1990 to 2030, changing by more than 10%. With the multi-model mean, the increasing trends in cooling energy demand are more pronounced than the decreasing trends in heating. The changes in cooling, however, are highly variable depending on individual simulations, ranging from a few to several hundred percent in most of the densely populated mid-latitude areas. This work presents an example of the challenges that accompany future energy demand quantification as a result of the uncertainty in the projected climate., (© 2021. The Author(s).)

Published
2021
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