| Titre : | Development of a climate-responsive water stress model for yield and biomass simulations: an integration with DABHSIM model |
| Auteurs : | Z. Khannafer |
| Type de document : | Thèse, Mémoire, Master |
| Année de publication : | 2024 |
| Format : | 48 p. |
| Note générale : | Master 2 Thesis. Economics. Programme: Territorial agricultural development, environment and modelling [DATEM]. Co-accreditation University of Montpellier, Institut Agro Montpellier, CIHEAM-IAMM, co-diploma Faculty of Agronomy - Lebanese University, CIHEAM-IAMM. |
| Langues : | Anglais |
| Langues du résumé : | Anglais ; Français |
| Catégories : |
Catégories principales 07 - ENVIRONNEMENT ; 7.3 - Eau. Gestion de l'EauThésaurus IAMM STRESS DU A LA SECHERESSE ; MODELE DE SIMULATION ; AIDE A LA DECISION ; PREVISION ; TUNISIE |
| Résumé : | This thesis develops a climate-responsive water stress model to improve crop yield and biomass simulations under varying climatic conditions, focusing on the Mediterranean region. The model is to be integrated into the DABHSIM framework and focuses on two major crops, wheat and maize, using daily time step calculations to simulate crop canopy cover, water balance and biomass accumulation. Innovations in this model include the integration of water productivity, evapotranspiration coefficients and a detailed treatment of daily crop growth. Calibration and validation are based on empirical data from the Cebalat region of Tunisia, a region characterized by water stress and irrigation challenges. The results show that the model accurately predicts wheat biomass and yield across different soil types, with an nRMSE below 10%, showing strong agreement between simulated and observed values. However, maize results show higher variability, particularly on more complex soils such as clay loam, indicating the need for further refinement. The model is a valuable tool for farmers and policy makers, providing accurate predictions of agricultural outcomes under different water stress scenarios and climate conditions. This can assist in the development of adaptation strategies for regions vulnerable to climate change, helping to improve the resilience and sustainability of agriculture. This research contributes to more accurate assessments of climate impacts on crop yields and provides a practical, adaptable model to inform decision-making at farm level. |
| Nature du diplôme : | Mémoire (Master 2 DATEM) |
| Université de soutenance : | CIHEAM-IAMM |
| Ville de l'université de soutenance : | Montpellier (France) |
| Cote : | Réservé lecteur CIHEAM |
| Directeur de Thèse : | Belhouchette H.; Darwich S. |
| Membres du Jury : | Bourceret A.; Kleftodimos G.; Belhouchette H.; Darwich S. |
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