A Multi-Region and Multi-Period Harvest Schedule of the Trawl Fleet

Under the individual vessel quota regulations, the expected economic return of a multi species fishery is influenced by an array of a multi-component choice such as targeted species, landings per haul, harvesting time and its location. The components of effort allocation decisions are further compli...

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Published in:Frontiers in Marine Science
Main Authors: Tannaz Alizadeh Ashrafi, Anne Mai Ersdal, Anders Samuelsen Nordli
Format: Article in Journal/Newspaper
Language:English
Published: Frontiers Media S.A. 2022
Subjects:
Q
Online Access:https://doi.org/10.3389/fmars.2021.738912
https://doaj.org/article/0897d906b03040928023c5e283c01f36
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spelling ftdoajarticles:oai:doaj.org/article:0897d906b03040928023c5e283c01f36 2023-05-15T14:30:31+02:00 A Multi-Region and Multi-Period Harvest Schedule of the Trawl Fleet Tannaz Alizadeh Ashrafi Anne Mai Ersdal Anders Samuelsen Nordli 2022-01-01T00:00:00Z https://doi.org/10.3389/fmars.2021.738912 https://doaj.org/article/0897d906b03040928023c5e283c01f36 EN eng Frontiers Media S.A. https://www.frontiersin.org/articles/10.3389/fmars.2021.738912/full https://doaj.org/toc/2296-7745 2296-7745 doi:10.3389/fmars.2021.738912 https://doaj.org/article/0897d906b03040928023c5e283c01f36 Frontiers in Marine Science, Vol 8 (2022) trawl fishery codfish fishery expected revenue spatiotemporal dynamics effort allocation individual vessel quota Science Q General. Including nature conservation geographical distribution QH1-199.5 article 2022 ftdoajarticles https://doi.org/10.3389/fmars.2021.738912 2022-12-31T07:31:28Z Under the individual vessel quota regulations, the expected economic return of a multi species fishery is influenced by an array of a multi-component choice such as targeted species, landings per haul, harvesting time and its location. The components of effort allocation decisions are further complicated by changes in the market conditions and the constant movements of fish between spawning and feeding habitats. Migratory behavior influences the dispersal of species, relative availability of fish and its composition, and the bycatch likelihood across different locations over the course of a fishing year. The objective of this article is to investigate the optimal allocation of fishing effort in the Norwegian bottom-trawl fleet within economically important species; cod, saithe, and haddock across three heavily trawled areas—including southern and northern parts of the west coast of Norway, and the high sea areas of the Arctic—to achieve maximum expected economic return, with respect to the individual vessel quota constraints and bycatch considerations. The results from a mixed integer non-linear optimization problem evidence that the spawning migration of Northeast Arctic cod along the northwest coast, effort allocation behavior of coastal fleet, together with institutional regulations necessitate the substitution of fishing effort across different fishing locations within the fishing season to maximize expected return. The results of our study further reveal that the Arctic region to target cod is the biggest contributor to annual fishing revenue. By contrast, conducting saithe fishery in the southwest of the Norwegian coast has the lowest economic contribution. The results from Monte Carlo simulation demonstrate that the proposed model is effective and applicable for effort allocation decision analysis. Article in Journal/Newspaper Arctic cod Arctic Northeast Arctic cod Directory of Open Access Journals: DOAJ Articles Arctic Norway Frontiers in Marine Science 8
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic trawl fishery
codfish fishery
expected revenue
spatiotemporal dynamics
effort allocation
individual vessel quota
Science
Q
General. Including nature conservation
geographical distribution
QH1-199.5
spellingShingle trawl fishery
codfish fishery
expected revenue
spatiotemporal dynamics
effort allocation
individual vessel quota
Science
Q
General. Including nature conservation
geographical distribution
QH1-199.5
Tannaz Alizadeh Ashrafi
Anne Mai Ersdal
Anders Samuelsen Nordli
A Multi-Region and Multi-Period Harvest Schedule of the Trawl Fleet
topic_facet trawl fishery
codfish fishery
expected revenue
spatiotemporal dynamics
effort allocation
individual vessel quota
Science
Q
General. Including nature conservation
geographical distribution
QH1-199.5
description Under the individual vessel quota regulations, the expected economic return of a multi species fishery is influenced by an array of a multi-component choice such as targeted species, landings per haul, harvesting time and its location. The components of effort allocation decisions are further complicated by changes in the market conditions and the constant movements of fish between spawning and feeding habitats. Migratory behavior influences the dispersal of species, relative availability of fish and its composition, and the bycatch likelihood across different locations over the course of a fishing year. The objective of this article is to investigate the optimal allocation of fishing effort in the Norwegian bottom-trawl fleet within economically important species; cod, saithe, and haddock across three heavily trawled areas—including southern and northern parts of the west coast of Norway, and the high sea areas of the Arctic—to achieve maximum expected economic return, with respect to the individual vessel quota constraints and bycatch considerations. The results from a mixed integer non-linear optimization problem evidence that the spawning migration of Northeast Arctic cod along the northwest coast, effort allocation behavior of coastal fleet, together with institutional regulations necessitate the substitution of fishing effort across different fishing locations within the fishing season to maximize expected return. The results of our study further reveal that the Arctic region to target cod is the biggest contributor to annual fishing revenue. By contrast, conducting saithe fishery in the southwest of the Norwegian coast has the lowest economic contribution. The results from Monte Carlo simulation demonstrate that the proposed model is effective and applicable for effort allocation decision analysis.
format Article in Journal/Newspaper
author Tannaz Alizadeh Ashrafi
Anne Mai Ersdal
Anders Samuelsen Nordli
author_facet Tannaz Alizadeh Ashrafi
Anne Mai Ersdal
Anders Samuelsen Nordli
author_sort Tannaz Alizadeh Ashrafi
title A Multi-Region and Multi-Period Harvest Schedule of the Trawl Fleet
title_short A Multi-Region and Multi-Period Harvest Schedule of the Trawl Fleet
title_full A Multi-Region and Multi-Period Harvest Schedule of the Trawl Fleet
title_fullStr A Multi-Region and Multi-Period Harvest Schedule of the Trawl Fleet
title_full_unstemmed A Multi-Region and Multi-Period Harvest Schedule of the Trawl Fleet
title_sort multi-region and multi-period harvest schedule of the trawl fleet
publisher Frontiers Media S.A.
publishDate 2022
url https://doi.org/10.3389/fmars.2021.738912
https://doaj.org/article/0897d906b03040928023c5e283c01f36
geographic Arctic
Norway
geographic_facet Arctic
Norway
genre Arctic cod
Arctic
Northeast Arctic cod
genre_facet Arctic cod
Arctic
Northeast Arctic cod
op_source Frontiers in Marine Science, Vol 8 (2022)
op_relation https://www.frontiersin.org/articles/10.3389/fmars.2021.738912/full
https://doaj.org/toc/2296-7745
2296-7745
doi:10.3389/fmars.2021.738912
https://doaj.org/article/0897d906b03040928023c5e283c01f36
op_doi https://doi.org/10.3389/fmars.2021.738912
container_title Frontiers in Marine Science
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