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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Main Authors: Poudel, Diwakar, Sandal, Leif K.
Format: Report
Language:unknown
Subjects:
Online Access:http://hdl.handle.net/11250/194958
id ftrepec:oai:RePEc:hhs:nhhfms:2014_002
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spelling 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
institution Open Polar
collection RePEc (Research Papers in Economics)
op_collection_id ftrepec
language unknown
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
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