Stochastic Optimization for Multispecies Fisheries in the Barents Sea
This study presents a multispecies stochastic model. The model suggests optimal fishing policy for two species in a three species predator prey ecosystem in the Barents Sea. We have employed stochastic dynamic programing to solve a three dimensional model, where catch is optimized by a multispecies...
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ftrepec:oai:RePEc:hhs:nhhfms:2014_002 2024-04-14T08:09:35+00:00 Stochastic Optimization for Multispecies Fisheries in the Barents Sea Poudel, Diwakar Sandal, Leif K. http://hdl.handle.net/11250/194958 unknown http://hdl.handle.net/11250/194958 preprint ftrepec 2024-03-19T10:28:27Z This study presents a multispecies stochastic model. The model suggests optimal fishing policy for two species in a three species predator prey ecosystem in the Barents Sea. We have employed stochastic dynamic programing to solve a three dimensional model, where catch is optimized by a multispecies feedback strategy. Application of the model in cod, capelin and herring ecosystem in the Barents Sea shows that the optimal catch for stochastic interaction model is more conservative compared to deterministic policy. Furthermore, we found that stochasticity has strong effect on optimal exploitation policy in the prey (capelin) compared to the predator (cod) species. Barents Sea; Ecosystem based management; Multispecies; Stochastic optimization Report Barents Sea RePEc (Research Papers in Economics) Barents Sea |
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Open Polar |
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RePEc (Research Papers in Economics) |
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ftrepec |
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description |
This study presents a multispecies stochastic model. The model suggests optimal fishing policy for two species in a three species predator prey ecosystem in the Barents Sea. We have employed stochastic dynamic programing to solve a three dimensional model, where catch is optimized by a multispecies feedback strategy. Application of the model in cod, capelin and herring ecosystem in the Barents Sea shows that the optimal catch for stochastic interaction model is more conservative compared to deterministic policy. Furthermore, we found that stochasticity has strong effect on optimal exploitation policy in the prey (capelin) compared to the predator (cod) species. Barents Sea; Ecosystem based management; Multispecies; Stochastic optimization |
format |
Report |
author |
Poudel, Diwakar Sandal, Leif K. |
spellingShingle |
Poudel, Diwakar Sandal, Leif K. Stochastic Optimization for Multispecies Fisheries in the Barents Sea |
author_facet |
Poudel, Diwakar Sandal, Leif K. |
author_sort |
Poudel, Diwakar |
title |
Stochastic Optimization for Multispecies Fisheries in the Barents Sea |
title_short |
Stochastic Optimization for Multispecies Fisheries in the Barents Sea |
title_full |
Stochastic Optimization for Multispecies Fisheries in the Barents Sea |
title_fullStr |
Stochastic Optimization for Multispecies Fisheries in the Barents Sea |
title_full_unstemmed |
Stochastic Optimization for Multispecies Fisheries in the Barents Sea |
title_sort |
stochastic optimization for multispecies fisheries in the barents sea |
url |
http://hdl.handle.net/11250/194958 |
geographic |
Barents Sea |
geographic_facet |
Barents Sea |
genre |
Barents Sea |
genre_facet |
Barents Sea |
op_relation |
http://hdl.handle.net/11250/194958 |
_version_ |
1796307076578803712 |