A Bayesian state space mark recapture model to estimate exploitation rates in mixed-stock fisheries
Published in: | Canadian Journal of Fisheries and Aquatic Sciences |
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Main Authors: | , , , , , , , |
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Format: | Article in Journal/Newspaper |
Language: | English |
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NRC Research Press
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Online Access: | http://jukuri.luke.fi/handle/10024/541893 |
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ftluke:oai:jukuri.luke.fi:10024/541893 2023-10-09T21:49:52+02:00 A Bayesian state space mark recapture model to estimate exploitation rates in mixed-stock fisheries Michielsens, Catherine G.J. McAllister, Murdoch K. Kuikka, Sakari Pakarinen, Tapani Karlsson, Lars Romakkaniemi, Atso Perä, Ingemar Mäntyniemi, Samu Imperial College London University of Helsinki Swedish National Board of Fisheries (Fiskeriverket) Luke / Luonnonvarat / Riistapopulaatioiden dynamiikka (4100110810) Luke / Luonnonvarat / Akvaattisten populaatioiden dynamiikka (4100110910) 321-334 false http://jukuri.luke.fi/handle/10024/541893 eng eng NRC Research Press Canadian Journal of Fisheries and Aquatic Sciences doi:10.1139/f05-215 0706-652X 2 63 http://jukuri.luke.fi/handle/10024/541893 Bayesian theory fisheries Atlantic salmon Salmo salar fishing effort fi=A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä|sv=A1 Originalartikel i en vetenskaplig tidskrift|en=A1 Journal article (refereed), original research| ftluke https://doi.org/10.1139/f05-215 2023-09-12T20:26:41Z Article in Journal/Newspaper Atlantic salmon Salmo salar Natural Resources Institute Finland: Jukuri Canadian Journal of Fisheries and Aquatic Sciences 63 2 321 334 |
institution |
Open Polar |
collection |
Natural Resources Institute Finland: Jukuri |
op_collection_id |
ftluke |
language |
English |
topic |
Bayesian theory fisheries Atlantic salmon Salmo salar fishing effort |
spellingShingle |
Bayesian theory fisheries Atlantic salmon Salmo salar fishing effort Michielsens, Catherine G.J. McAllister, Murdoch K. Kuikka, Sakari Pakarinen, Tapani Karlsson, Lars Romakkaniemi, Atso Perä, Ingemar Mäntyniemi, Samu A Bayesian state space mark recapture model to estimate exploitation rates in mixed-stock fisheries |
topic_facet |
Bayesian theory fisheries Atlantic salmon Salmo salar fishing effort |
author2 |
Imperial College London University of Helsinki Swedish National Board of Fisheries (Fiskeriverket) Luke / Luonnonvarat / Riistapopulaatioiden dynamiikka (4100110810) Luke / Luonnonvarat / Akvaattisten populaatioiden dynamiikka (4100110910) |
format |
Article in Journal/Newspaper |
author |
Michielsens, Catherine G.J. McAllister, Murdoch K. Kuikka, Sakari Pakarinen, Tapani Karlsson, Lars Romakkaniemi, Atso Perä, Ingemar Mäntyniemi, Samu |
author_facet |
Michielsens, Catherine G.J. McAllister, Murdoch K. Kuikka, Sakari Pakarinen, Tapani Karlsson, Lars Romakkaniemi, Atso Perä, Ingemar Mäntyniemi, Samu |
author_sort |
Michielsens, Catherine G.J. |
title |
A Bayesian state space mark recapture model to estimate exploitation rates in mixed-stock fisheries |
title_short |
A Bayesian state space mark recapture model to estimate exploitation rates in mixed-stock fisheries |
title_full |
A Bayesian state space mark recapture model to estimate exploitation rates in mixed-stock fisheries |
title_fullStr |
A Bayesian state space mark recapture model to estimate exploitation rates in mixed-stock fisheries |
title_full_unstemmed |
A Bayesian state space mark recapture model to estimate exploitation rates in mixed-stock fisheries |
title_sort |
bayesian state space mark recapture model to estimate exploitation rates in mixed-stock fisheries |
publisher |
NRC Research Press |
url |
http://jukuri.luke.fi/handle/10024/541893 |
genre |
Atlantic salmon Salmo salar |
genre_facet |
Atlantic salmon Salmo salar |
op_relation |
Canadian Journal of Fisheries and Aquatic Sciences doi:10.1139/f05-215 0706-652X 2 63 http://jukuri.luke.fi/handle/10024/541893 |
op_doi |
https://doi.org/10.1139/f05-215 |
container_title |
Canadian Journal of Fisheries and Aquatic Sciences |
container_volume |
63 |
container_issue |
2 |
container_start_page |
321 |
op_container_end_page |
334 |
_version_ |
1779312911081013248 |