STOCHASTIC OPTIMIZATION FOR MULTISPECIES FISHERIES IN THE BARENTS SEA

Abstract We present a multispecies stochastic model that suggests optimal fishing policy for two species in a three‐species predator–prey ecosystem in the Barents Sea. We employ stochastic dynamic programming to solve a three‐dimensional model, in which the catch is optimized by using a multispecies...

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Bibliographic Details
Published in:Natural Resource Modeling
Main Authors: POUDEL, DIWAKAR, SANDAL, LEIF K.
Other Authors: Norwegian Research Council
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2015
Subjects:
Environmental Science (miscellaneous)
Modeling and Simulation
Barents Sea
Online Access:http://dx.doi.org/10.1111/nrm.12065
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fnrm.12065
https://onlinelibrary.wiley.com/doi/pdf/10.1111/nrm.12065
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Summary:Abstract We present a multispecies stochastic model that suggests optimal fishing policy for two species in a three‐species predator–prey ecosystem in the Barents Sea. We employ stochastic dynamic programming to solve a three‐dimensional model, in which the catch is optimized by using a multispecies feedback strategy. Applying the model to the cod, capelin, and herring ecosystem in the Barents Sea shows that the optimal catch for the stochastic interaction model is more conservative than that implied by the deterministic model. We also find that stochasticity has a stronger effect on the optimal exploitation policy for prey (capelin) than for predator (cod).

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