Optimization of age-structured bioeconomic model: recruitment, weight gain and environmental effects

More and more fishery researchers begin to acknowledge that one-dimensional biomass models may omit key information when generating management guidelines. For the more complicated age-structured models, numerous parameters require a proper estimation or a reasonable assumption. In this paper, the ef...

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Main Author: Ni, Yuanming
Format: Report
Language:English
Published: FOR 2019
Subjects:
Online Access:http://hdl.handle.net/11250/2612461
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spelling ftnorgehandelshs:oai:openaccess.nhh.no:11250/2612461 2023-05-15T17:41:28+02:00 Optimization of age-structured bioeconomic model: recruitment, weight gain and environmental effects Ni, Yuanming 2019-09-03 application/pdf http://hdl.handle.net/11250/2612461 eng eng FOR Discussion paper;4/19 urn:issn:1500-4066 http://hdl.handle.net/11250/2612461 24 Age-structured bioeconomic recruitment optimization Working paper 2019 ftnorgehandelshs 2021-10-19T20:05:17Z More and more fishery researchers begin to acknowledge that one-dimensional biomass models may omit key information when generating management guidelines. For the more complicated age-structured models, numerous parameters require a proper estimation or a reasonable assumption. In this paper, the effects of recruitment patterns and environmental impacts on the optimal exploitation of a fish population are investigated. Based on a discrete-time age-structured bioeconomic model of Northeast Atlantic mackerel, we introduce the mechanisms that generate 6 scenarios of the problem. Using the simplest scenario, optimizations are conducted under 8 different parameter combinations. Then, the problem is solved for each scenario and simulations are conducted with constant fishing mortalities. It is found that a higher environmental volatility leads to more net profits but with a lower probability of achieving the mean values. Any parameter combination that favours the older fish tends to lend itself to pulse fishing pattern. The simulations indicate that a constant fishing mortality around 0.06 performs the best. A comparison between the optimal and the historical harvest shows that for more than 70% of the time, the optimal exploitation precedes the historical one, leading to 43% higher net profit and 34% lower fishing cost. Report Northeast Atlantic NHH Brage Open institutional repository (Norwegian School of Economics)
institution Open Polar
collection NHH Brage Open institutional repository (Norwegian School of Economics)
op_collection_id ftnorgehandelshs
language English
topic Age-structured
bioeconomic
recruitment
optimization
spellingShingle Age-structured
bioeconomic
recruitment
optimization
Ni, Yuanming
Optimization of age-structured bioeconomic model: recruitment, weight gain and environmental effects
topic_facet Age-structured
bioeconomic
recruitment
optimization
description More and more fishery researchers begin to acknowledge that one-dimensional biomass models may omit key information when generating management guidelines. For the more complicated age-structured models, numerous parameters require a proper estimation or a reasonable assumption. In this paper, the effects of recruitment patterns and environmental impacts on the optimal exploitation of a fish population are investigated. Based on a discrete-time age-structured bioeconomic model of Northeast Atlantic mackerel, we introduce the mechanisms that generate 6 scenarios of the problem. Using the simplest scenario, optimizations are conducted under 8 different parameter combinations. Then, the problem is solved for each scenario and simulations are conducted with constant fishing mortalities. It is found that a higher environmental volatility leads to more net profits but with a lower probability of achieving the mean values. Any parameter combination that favours the older fish tends to lend itself to pulse fishing pattern. The simulations indicate that a constant fishing mortality around 0.06 performs the best. A comparison between the optimal and the historical harvest shows that for more than 70% of the time, the optimal exploitation precedes the historical one, leading to 43% higher net profit and 34% lower fishing cost.
format Report
author Ni, Yuanming
author_facet Ni, Yuanming
author_sort Ni, Yuanming
title Optimization of age-structured bioeconomic model: recruitment, weight gain and environmental effects
title_short Optimization of age-structured bioeconomic model: recruitment, weight gain and environmental effects
title_full Optimization of age-structured bioeconomic model: recruitment, weight gain and environmental effects
title_fullStr Optimization of age-structured bioeconomic model: recruitment, weight gain and environmental effects
title_full_unstemmed Optimization of age-structured bioeconomic model: recruitment, weight gain and environmental effects
title_sort optimization of age-structured bioeconomic model: recruitment, weight gain and environmental effects
publisher FOR
publishDate 2019
url http://hdl.handle.net/11250/2612461
genre Northeast Atlantic
genre_facet Northeast Atlantic
op_source 24
op_relation Discussion paper;4/19
urn:issn:1500-4066
http://hdl.handle.net/11250/2612461
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