Climate change, fisheries management and fishing aptitude affecting spatial and temporal distributions of the Barents Sea cod fishery
Source at http://dx.doi.org/10.1007/s13280-017-0955-1 Climate change is expected to influence spatial and temporal distributions of fish stocks. The aim of this paper is to compare climate change impact on a fishery with other factors impacting the performance of fishing fleets. The fishery in quest...
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Online Access: | https://hdl.handle.net/10037/11752 https://doi.org/10.1007/s13280-017-0955-1 |
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ftunivtroemsoe:oai:munin.uit.no:10037/11752 2023-05-15T14:30:27+02:00 Climate change, fisheries management and fishing aptitude affecting spatial and temporal distributions of the Barents Sea cod fishery Eide, Arne 2017-10-26 https://hdl.handle.net/10037/11752 https://doi.org/10.1007/s13280-017-0955-1 eng eng Springer Ambio Eide A. Climate change, fisheries management and fishing aptitude affecting spatial and temporal distributions of the Barents Sea cod fishery. Ambio. 2017;46:387-399 FRIDAID 1511697 doi:10.1007/s13280-017-0955-1 0044-7447 1654-7209 https://hdl.handle.net/10037/11752 openAccess VDP::Landbruks- og Fiskerifag: 900::Fiskerifag: 920 VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920 Journal article Tidsskriftartikkel Peer reviewed 2017 ftunivtroemsoe https://doi.org/10.1007/s13280-017-0955-1 2021-06-25T17:55:29Z Source at http://dx.doi.org/10.1007/s13280-017-0955-1 Climate change is expected to influence spatial and temporal distributions of fish stocks. The aim of this paper is to compare climate change impact on a fishery with other factors impacting the performance of fishing fleets. The fishery in question is the Northeast Arctic cod fishery, a well-documented fishery where data on spatial and temporal distributions are available. A cellular automata model is developed for the purpose of mimicking possible distributional patterns and different management alternatives are studied under varying assumptions on the fleets’ fishing aptitude. Fisheries management and fishing aptitude, also including technological development and local knowledge, turn out to have the greatest impact on the spatial distribution of the fishing effort, when comparing the IPCC’s SRES A1B scenario with repeated sequences of the current environmental situation over a period of 45 years. In both cases, the highest profits in the simulation period of 45 years are obtained at low exploitation levels and moderate fishing aptitude. Article in Journal/Newspaper Arctic cod Arctic Barents Sea Climate change Northeast Arctic cod University of Tromsø: Munin Open Research Archive Arctic Barents Sea Ambio 46 S3 387 399 |
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Open Polar |
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University of Tromsø: Munin Open Research Archive |
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ftunivtroemsoe |
language |
English |
topic |
VDP::Landbruks- og Fiskerifag: 900::Fiskerifag: 920 VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920 |
spellingShingle |
VDP::Landbruks- og Fiskerifag: 900::Fiskerifag: 920 VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920 Eide, Arne Climate change, fisheries management and fishing aptitude affecting spatial and temporal distributions of the Barents Sea cod fishery |
topic_facet |
VDP::Landbruks- og Fiskerifag: 900::Fiskerifag: 920 VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920 |
description |
Source at http://dx.doi.org/10.1007/s13280-017-0955-1 Climate change is expected to influence spatial and temporal distributions of fish stocks. The aim of this paper is to compare climate change impact on a fishery with other factors impacting the performance of fishing fleets. The fishery in question is the Northeast Arctic cod fishery, a well-documented fishery where data on spatial and temporal distributions are available. A cellular automata model is developed for the purpose of mimicking possible distributional patterns and different management alternatives are studied under varying assumptions on the fleets’ fishing aptitude. Fisheries management and fishing aptitude, also including technological development and local knowledge, turn out to have the greatest impact on the spatial distribution of the fishing effort, when comparing the IPCC’s SRES A1B scenario with repeated sequences of the current environmental situation over a period of 45 years. In both cases, the highest profits in the simulation period of 45 years are obtained at low exploitation levels and moderate fishing aptitude. |
format |
Article in Journal/Newspaper |
author |
Eide, Arne |
author_facet |
Eide, Arne |
author_sort |
Eide, Arne |
title |
Climate change, fisheries management and fishing aptitude affecting spatial and temporal distributions of the Barents Sea cod fishery |
title_short |
Climate change, fisheries management and fishing aptitude affecting spatial and temporal distributions of the Barents Sea cod fishery |
title_full |
Climate change, fisheries management and fishing aptitude affecting spatial and temporal distributions of the Barents Sea cod fishery |
title_fullStr |
Climate change, fisheries management and fishing aptitude affecting spatial and temporal distributions of the Barents Sea cod fishery |
title_full_unstemmed |
Climate change, fisheries management and fishing aptitude affecting spatial and temporal distributions of the Barents Sea cod fishery |
title_sort |
climate change, fisheries management and fishing aptitude affecting spatial and temporal distributions of the barents sea cod fishery |
publisher |
Springer |
publishDate |
2017 |
url |
https://hdl.handle.net/10037/11752 https://doi.org/10.1007/s13280-017-0955-1 |
geographic |
Arctic Barents Sea |
geographic_facet |
Arctic Barents Sea |
genre |
Arctic cod Arctic Barents Sea Climate change Northeast Arctic cod |
genre_facet |
Arctic cod Arctic Barents Sea Climate change Northeast Arctic cod |
op_relation |
Ambio Eide A. Climate change, fisheries management and fishing aptitude affecting spatial and temporal distributions of the Barents Sea cod fishery. Ambio. 2017;46:387-399 FRIDAID 1511697 doi:10.1007/s13280-017-0955-1 0044-7447 1654-7209 https://hdl.handle.net/10037/11752 |
op_rights |
openAccess |
op_doi |
https://doi.org/10.1007/s13280-017-0955-1 |
container_title |
Ambio |
container_volume |
46 |
container_issue |
S3 |
container_start_page |
387 |
op_container_end_page |
399 |
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1766304303310438400 |