Seasonality matters: A multi-season, multi-state dynamic optimization in fisheries
| Autor: | Yuanming Ni, Leif Kristoffer Sandal |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
050210 logistics & transportation
021103 operations research Information Systems and Management General Computer Science Multi state 05 social sciences Fishing 0211 other engineering and technologies 02 engineering and technology Management Science and Operations Research Seasonality medicine.disease Industrial and Manufacturing Engineering Fishery Dynamic programming Extant taxon Modeling and Simulation 0502 economics and business medicine Environmental science Marine protected area Stock (geology) |
| Zdroj: | European Journal of Operational Research. 275:648-658 |
| ISSN: | 0377-2217 |
| DOI: | 10.1016/j.ejor.2018.11.041 |
| Popis: | Many biological and economic processes in fisheries occur seasonally though most of the extant literature tends to neglect periodicity. This work is an attempt to treat seasonality in a systematic way. We present a multi-season multi-state bioeconomic model and apply a periodic Bellman approach using dynamic programming to obtain the optimal feedback policy of each season. Our approach has rich potentials. It could deal with seasonal patterns of arbitrary uneven lengths: some may span years and some may occur within a year. Our numerical illustration demonstrates that a seasonal dynamic optimization model allows for naturally occurring seasonal moratorium or potentially a Marine Protected Area (MPA). It shows that there exists optimal dynamic paths that develop into a permanent equilibrium cycle, which consists of one harvesting season followed by a moratorium period. This indicates an optimal closure of the fishery that a yearly model would overlook. Fishing pressure on the mature stock elicits even heavier harvesting in the next season on the same group. A protective moratorium of the immature hinders the value of the whole stock. |
| Databáze: | OpenAIRE |
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