Extraction of sea temperature in the Barents Sea by a scale space multiresolution method - prospects for Atlantic salmon
Variation of marine temperature at different time scales is a central environmental factor in the life cycle of marine organisms, and may have particular importance for various life stages of anadromous species, for example, Atlantic salmon. To understand the salient features of temperature variatio...
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ftluke:oai:jukuri.luke.fi:10024/540870 2023-10-09T21:49:50+02:00 Extraction of sea temperature in the Barents Sea by a scale space multiresolution method - prospects for Atlantic salmon Pasanen, Leena Laukkanen-Nevala, Päivi Launonen, Ilkka Prusov, Sergey Holmström, Lasse Niemelä, Eero Erkinaro, Jaakko University of Oulu. Department of Mathematical Sciences Knipovich polar research institute of marine fisheries and oceanography Luke / Luonnonvarat ja biotuotanto / Ekosysteemit ja ekologia / Vaelluskalojen ekologia (4100100314) 4100100314 Verkkojulkaisu 2317-2336 false http://jukuri.luke.fi/handle/10024/540870 eng eng Taylor & Francis Journal of Applied Statistics doi:10.1080/02664763.2016.1252731 0266-4763 13 44 http://jukuri.luke.fi/handle/10024/540870 1360-0532 ilmastonmuutokset merivesi lämpö lohi aikasarja-analyysi climate change sea water temperature Atlantic salmon time series analysis fi=A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä|sv=A1 Originalartikel i en vetenskaplig tidskrift|en=A1 Journal article (refereed), original research| ftluke https://doi.org/10.1080/02664763.2016.1252731 2023-09-12T20:26:27Z Variation of marine temperature at different time scales is a central environmental factor in the life cycle of marine organisms, and may have particular importance for various life stages of anadromous species, for example, Atlantic salmon. To understand the salient features of temperature variation we employ scale space multiresolution analysis, that uses differences of smooths of a time series to decompose it as a sum of scale-dependent components. The number of resolved components can be determined either automatically or by exploring a map that visualizes the structure of the time series. The statistical credibility of the features of the components is established with Bayesian inference. The method was applied to analyze a marine temperature time series measured from the Barents Sea and its correlation with the abundance of Atlantic salmon in three Barents Sea rivers. Besides the annual seasonal variation and a linear trend, the method revealed mid time-scale (approximate to 10 years) and long time-scale (approximate to 30 years) variation. The 10-year quasi-cyclical component of the temperature time series appears to be connected with a similar feature in Atlantic salmon abundance. These findings can provide information about the environmental factors affecting seasonal and periodic variation in survival and migrations of Atlantic salmon and other migratory fish. 2017 Article in Journal/Newspaper Atlantic salmon Barents Sea Natural Resources Institute Finland: Jukuri Barents Sea Journal of Applied Statistics 44 13 2317 2336 |
institution |
Open Polar |
collection |
Natural Resources Institute Finland: Jukuri |
op_collection_id |
ftluke |
language |
English |
topic |
ilmastonmuutokset merivesi lämpö lohi aikasarja-analyysi climate change sea water temperature Atlantic salmon time series analysis |
spellingShingle |
ilmastonmuutokset merivesi lämpö lohi aikasarja-analyysi climate change sea water temperature Atlantic salmon time series analysis Pasanen, Leena Laukkanen-Nevala, Päivi Launonen, Ilkka Prusov, Sergey Holmström, Lasse Niemelä, Eero Erkinaro, Jaakko Extraction of sea temperature in the Barents Sea by a scale space multiresolution method - prospects for Atlantic salmon |
topic_facet |
ilmastonmuutokset merivesi lämpö lohi aikasarja-analyysi climate change sea water temperature Atlantic salmon time series analysis |
description |
Variation of marine temperature at different time scales is a central environmental factor in the life cycle of marine organisms, and may have particular importance for various life stages of anadromous species, for example, Atlantic salmon. To understand the salient features of temperature variation we employ scale space multiresolution analysis, that uses differences of smooths of a time series to decompose it as a sum of scale-dependent components. The number of resolved components can be determined either automatically or by exploring a map that visualizes the structure of the time series. The statistical credibility of the features of the components is established with Bayesian inference. The method was applied to analyze a marine temperature time series measured from the Barents Sea and its correlation with the abundance of Atlantic salmon in three Barents Sea rivers. Besides the annual seasonal variation and a linear trend, the method revealed mid time-scale (approximate to 10 years) and long time-scale (approximate to 30 years) variation. The 10-year quasi-cyclical component of the temperature time series appears to be connected with a similar feature in Atlantic salmon abundance. These findings can provide information about the environmental factors affecting seasonal and periodic variation in survival and migrations of Atlantic salmon and other migratory fish. 2017 |
author2 |
University of Oulu. Department of Mathematical Sciences Knipovich polar research institute of marine fisheries and oceanography Luke / Luonnonvarat ja biotuotanto / Ekosysteemit ja ekologia / Vaelluskalojen ekologia (4100100314) 4100100314 |
format |
Article in Journal/Newspaper |
author |
Pasanen, Leena Laukkanen-Nevala, Päivi Launonen, Ilkka Prusov, Sergey Holmström, Lasse Niemelä, Eero Erkinaro, Jaakko |
author_facet |
Pasanen, Leena Laukkanen-Nevala, Päivi Launonen, Ilkka Prusov, Sergey Holmström, Lasse Niemelä, Eero Erkinaro, Jaakko |
author_sort |
Pasanen, Leena |
title |
Extraction of sea temperature in the Barents Sea by a scale space multiresolution method - prospects for Atlantic salmon |
title_short |
Extraction of sea temperature in the Barents Sea by a scale space multiresolution method - prospects for Atlantic salmon |
title_full |
Extraction of sea temperature in the Barents Sea by a scale space multiresolution method - prospects for Atlantic salmon |
title_fullStr |
Extraction of sea temperature in the Barents Sea by a scale space multiresolution method - prospects for Atlantic salmon |
title_full_unstemmed |
Extraction of sea temperature in the Barents Sea by a scale space multiresolution method - prospects for Atlantic salmon |
title_sort |
extraction of sea temperature in the barents sea by a scale space multiresolution method - prospects for atlantic salmon |
publisher |
Taylor & Francis |
url |
http://jukuri.luke.fi/handle/10024/540870 |
geographic |
Barents Sea |
geographic_facet |
Barents Sea |
genre |
Atlantic salmon Barents Sea |
genre_facet |
Atlantic salmon Barents Sea |
op_relation |
Journal of Applied Statistics doi:10.1080/02664763.2016.1252731 0266-4763 13 44 http://jukuri.luke.fi/handle/10024/540870 1360-0532 |
op_doi |
https://doi.org/10.1080/02664763.2016.1252731 |
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Journal of Applied Statistics |
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44 |
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13 |
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2317 |
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2336 |
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1779312864118439936 |