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oai:docta.ucm.es:20.500.14352/275372025-05-14T00:05:42Zcom_20.500.14352_14col_20.500.14352_15

Continuous vs discrete-time bioeconomic models: Seasonal fisheries Kvamsdal, Sturla Maroto Fernández, José María Morán Cabré, Manuel Sandal, Leif K. Bioeconomic modeling Runge-Kutta Seasonal fisheries Seasonal harvesting Kalman-filter North-East Arctic cod Análisis numérico Ecuaciones diferenciales Investigación operativa (Matemáticas) Biología marina Ecología (Biología) Peces 1206 Análisis Numérico 1202.07 Ecuaciones en Diferencias 1207 Investigación Operativa 2401.06 Ecología animal We develop a discretization method of continuous-time bioeconomic models which consists of two steps: first we estimate a proper growth function for the continuous-time model through the ensemble Kalman Filter. Then we use the Runge-Kutta method to analyze the optimal management of seasonal fisheries in a discrete-time setting. We analyze both the case of quarterly harvest and the case of monthly harvest, and we compare these to the case of annually harvest. We find that seasonal harvesting is a win-win optimal solution with higher harvest, higher optimal steady state equilibrium, and higher economic value. We also demonstrate that the discretization method overcomes the economic and biological weakness and preserves the strengths of both continuous and discrete-time bioeconomic models NILS Science and Sustainability Depto. de Economía Financiera y Actuarial y Estadística Fac. de Ciencias Económicas y Empresariales FALSE unpub 2023-06-18T10:25:34Z 2023-06-18T10:25:34Z 2015 journal article AO https://hdl.handle.net/20.500.14352/27537 XXXX-XXXX eng NILS Science and Sustainability (021-ABEL-CM-2013) open access application/pdf