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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Language: | English |
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Online Access: | https://hdl.handle.net/10037/19268 https://doi.org/10.1111/nrm.12276 |
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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 |
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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 |
_version_ |
1766370396923232256 |