Optimal control strategies inecosystem-based fishery models
Başlık çevirisi mevcut değil.
- Tez No: 759822
- Danışmanlar: DR. SUZANNE LENHART
- Tez Türü: Doktora
- Konular: Balıkçılık Teknolojisi, Fisheries Technology
- Anahtar Kelimeler: Belirtilmemiş.
- Yıl: 2019
- Dil: İngilizce
- Üniversite: The University of Tennessee
- Enstitü: Yurtdışı Enstitü
- Ana Bilim Dalı: Belirtilmemiş.
- Bilim Dalı: Belirtilmemiş.
- Sayfa Sayısı: 146
Özet
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Özet (Çeviri)
This dissertation considers the use of food chain models coupled with optimal control theory as a new approach for the problem of implementing ecosystem-based fishery management (EBFM) strategies. We consider the Black Sea anchovy on the southern part of the Black Sea as a case study of the implementation of EBFM. Because of the availability of temporal data, we build our first food chain model using ordinary di↵erential equations to describe the anchovy dynamics, and then build our second food chain model using partial di↵erential equations to include spatial features of the anchovy dynamics. In the study, we use the harvest rate of the anchovy fishery as our control that corresponds to number of fishing fleets. In the first model, the Black Sea anchovy stock was coupled with a prey and a predator species, using a system of nonlinear di↵erential equations. The objective for the problem is to find the ecosystem-based optimal harvesting strategy that maximizes the discounted net value of the anchovy population with seasonal harvesting. In our numerical simulations, we obtained more profitable harvesting strategies for the southern part of the Black Sea, and also obtained much better structure for the related food web in terms of population biomasses via the optimal control strategy. Furthermore, we discussed the benefits of using food chain models in fishery management, and derived a schedule for ecosystem-based fishery management of the Black Sea anchovy. In the second model, a spatial food chain model on a bounded domain coupled with optimal control theory examined ecosystem-based harvesting strategies. Our system of nonlinear partial di↵erential equations (PDEs) has logistic growth, movement by di↵usion and advection, and Neumann boundary conditions. Numerical simulations were completed to illustrate several scenarios.
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