Spatial and temporal distributions in the Norwegian cod fishery

Fisheries are characterized by variations in space and time. This study investigates the characteristics of seasonality in cod trawl fisheries in two distinct areas: the coast along the northern Norway and the high sea area of the Barents Sea. Catch per unit effort (CPUE) is used to proxy variation...

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Published in:Natural Resource Modeling
Main Authors: Ashrafi, Tannaz Alizadeh, Eide, Arne, Hermansen, Øystein
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2020
Subjects:
Online Access:https://hdl.handle.net/10037/19268
https://doi.org/10.1111/nrm.12276
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spelling ftunivtroemsoe:oai:munin.uit.no:10037/19268 2023-05-15T15:38:58+02:00 Spatial and temporal distributions in the Norwegian cod fishery Ashrafi, Tannaz Alizadeh Eide, Arne Hermansen, Øystein 2020-06-25 https://hdl.handle.net/10037/19268 https://doi.org/10.1111/nrm.12276 eng eng Wiley Alizadeh Ashrafi, T. (2021). Fisher's effort allocation behavior and decision-making process in the Norwegian trawl fishery. (Doctoral thesis). https://hdl.handle.net/10037/21226 . Natural Resource Modeling Ashrafi, Eide, Hermansen. Spatial and temporal distributions in the Norwegian cod fishery. Natural Resource Modeling. 2020;2020:e12276:1-18 FRIDAID 1819719 doi:10.1111/nrm.12276 0890-8575 1939-7445 https://hdl.handle.net/10037/19268 openAccess Copyright 2020 The Author(s) VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920 VDP::Landbruks- og Fiskerifag: 900::Fiskerifag: 920 Journal article Tidsskriftartikkel Peer reviewed publishedVersion 2020 ftunivtroemsoe https://doi.org/10.1111/nrm.12276 2021-06-25T17:57:39Z Fisheries are characterized by variations in space and time. This study investigates the characteristics of seasonality in cod trawl fisheries in two distinct areas: the coast along the northern Norway and the high sea area of the Barents Sea. Catch per unit effort (CPUE) is used to proxy variation in stock abundance. A CPUE function has been estimated in the frequency‐domain framework, to detect the presence of seasonality. Our analysis reveals that seasonality in stock abundance is only present in the northern coast of Norway. We conclude that as a consequence of seasonality in stock aggregation during the first quarter of the fishing year, possible economic losses caused by reduced prices—stemming from a large supply of cod—are larger than the economic benefits from cost reduction per unit of harvest. We speculate that declined price and consequently potential economic losses encourage trawlers to substitute cod by other high‐value fisheries during the winter months. As the price of cod starts to rise after the first quarter, trawlers begin to target cod in the high sea areas, a region with less seasonality. Article in Journal/Newspaper Barents Sea Northern coast of Norway Northern Norway University of Tromsø: Munin Open Research Archive Barents Sea Norway Natural Resource Modeling 33 4
institution Open Polar
collection University of Tromsø: Munin Open Research Archive
op_collection_id ftunivtroemsoe
language English
topic VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920
VDP::Landbruks- og Fiskerifag: 900::Fiskerifag: 920
spellingShingle VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920
VDP::Landbruks- og Fiskerifag: 900::Fiskerifag: 920
Ashrafi, Tannaz Alizadeh
Eide, Arne
Hermansen, Øystein
Spatial and temporal distributions in the Norwegian cod fishery
topic_facet VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920
VDP::Landbruks- og Fiskerifag: 900::Fiskerifag: 920
description Fisheries are characterized by variations in space and time. This study investigates the characteristics of seasonality in cod trawl fisheries in two distinct areas: the coast along the northern Norway and the high sea area of the Barents Sea. Catch per unit effort (CPUE) is used to proxy variation in stock abundance. A CPUE function has been estimated in the frequency‐domain framework, to detect the presence of seasonality. Our analysis reveals that seasonality in stock abundance is only present in the northern coast of Norway. We conclude that as a consequence of seasonality in stock aggregation during the first quarter of the fishing year, possible economic losses caused by reduced prices—stemming from a large supply of cod—are larger than the economic benefits from cost reduction per unit of harvest. We speculate that declined price and consequently potential economic losses encourage trawlers to substitute cod by other high‐value fisheries during the winter months. As the price of cod starts to rise after the first quarter, trawlers begin to target cod in the high sea areas, a region with less seasonality.
format Article in Journal/Newspaper
author Ashrafi, Tannaz Alizadeh
Eide, Arne
Hermansen, Øystein
author_facet Ashrafi, Tannaz Alizadeh
Eide, Arne
Hermansen, Øystein
author_sort Ashrafi, Tannaz Alizadeh
title Spatial and temporal distributions in the Norwegian cod fishery
title_short Spatial and temporal distributions in the Norwegian cod fishery
title_full Spatial and temporal distributions in the Norwegian cod fishery
title_fullStr Spatial and temporal distributions in the Norwegian cod fishery
title_full_unstemmed Spatial and temporal distributions in the Norwegian cod fishery
title_sort spatial and temporal distributions in the norwegian cod fishery
publisher Wiley
publishDate 2020
url https://hdl.handle.net/10037/19268
https://doi.org/10.1111/nrm.12276
geographic Barents Sea
Norway
geographic_facet Barents Sea
Norway
genre Barents Sea
Northern coast of Norway
Northern Norway
genre_facet Barents Sea
Northern coast of Norway
Northern Norway
op_relation Alizadeh Ashrafi, T. (2021). Fisher's effort allocation behavior and decision-making process in the Norwegian trawl fishery. (Doctoral thesis). https://hdl.handle.net/10037/21226 .
Natural Resource Modeling
Ashrafi, Eide, Hermansen. Spatial and temporal distributions in the Norwegian cod fishery. Natural Resource Modeling. 2020;2020:e12276:1-18
FRIDAID 1819719
doi:10.1111/nrm.12276
0890-8575
1939-7445
https://hdl.handle.net/10037/19268
op_rights openAccess
Copyright 2020 The Author(s)
op_doi https://doi.org/10.1111/nrm.12276
container_title Natural Resource Modeling
container_volume 33
container_issue 4
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