Hi-sAFe is a 3D biophysical model designed to explore the interactions between tres and crops in agroforestry systems. Utilization of any tree species within Hi-sAFe requires parame- terization and calibration of the model for that tree species. We carried out these three steps for hybrid walnut (Juglans regia x nigra). Data used for parameterization and calibration came from the literature and long-term experimental plots at the Restinclières Estate near Montpel- lier in Southern France (Inurreta-Aguirre et al. 2018). The three plots included two alley crop- ping systems of hybrid walnut and durum wheat (Triticum durum) and a pure forestry system of hybrid walnut with a natural ground cover. A total of 21 Hi-sAFe tree inputs were unable to be parameterized directly and were included in the model calibration. Optimal parameter values were searched for using a multi-objective evolutionary algorithm (MOEA) similar to the NSGA-II algorithm (Deb et al. 2002). The root mean square errors of the measured vs. modeled diameter at breast height (DBH) in each plot were used as objective functions to minimize. The final Pareto optimal front of the MOEA contained a diversity of tree parameter sets. Accuracy of modeled crop relative yield in the A2 plot was used as a final criterion to select the best pa- rameter set. These calibrated Hi-sAFe parameters for hybrid walnut can be used to confidently explore hybrid walnut agroforestry systems across pedoclimatic and management conditions.

Calibration of the 3D Hi-sAFe agroforestry model for hybrid walnut / Wolz, K; Dupraz, C; Lecomte, I; Gosme, M; Reyes, F. - (2019). ((Intervento presentato al convegno 4th World Congress on Agroforestry tenutosi a Montpellier nel 20-22 May 2019.

Calibration of the 3D Hi-sAFe agroforestry model for hybrid walnut

Reyes F
2019

Abstract

Hi-sAFe is a 3D biophysical model designed to explore the interactions between tres and crops in agroforestry systems. Utilization of any tree species within Hi-sAFe requires parame- terization and calibration of the model for that tree species. We carried out these three steps for hybrid walnut (Juglans regia x nigra). Data used for parameterization and calibration came from the literature and long-term experimental plots at the Restinclières Estate near Montpel- lier in Southern France (Inurreta-Aguirre et al. 2018). The three plots included two alley crop- ping systems of hybrid walnut and durum wheat (Triticum durum) and a pure forestry system of hybrid walnut with a natural ground cover. A total of 21 Hi-sAFe tree inputs were unable to be parameterized directly and were included in the model calibration. Optimal parameter values were searched for using a multi-objective evolutionary algorithm (MOEA) similar to the NSGA-II algorithm (Deb et al. 2002). The root mean square errors of the measured vs. modeled diameter at breast height (DBH) in each plot were used as objective functions to minimize. The final Pareto optimal front of the MOEA contained a diversity of tree parameter sets. Accuracy of modeled crop relative yield in the A2 plot was used as a final criterion to select the best pa- rameter set. These calibrated Hi-sAFe parameters for hybrid walnut can be used to confidently explore hybrid walnut agroforestry systems across pedoclimatic and management conditions.
4th World Congress on Agroforestry
Montpellier
20-22 May 2019
Wolz, K; Dupraz, C; Lecomte, I; Gosme, M; Reyes, F
Calibration of the 3D Hi-sAFe agroforestry model for hybrid walnut / Wolz, K; Dupraz, C; Lecomte, I; Gosme, M; Reyes, F. - (2019). ((Intervento presentato al convegno 4th World Congress on Agroforestry tenutosi a Montpellier nel 20-22 May 2019.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1271121
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