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Extraction of sea temperature in the Barents Sea by a scale space multiresolution method – prospects for Atlantic salmon

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Listed:
  • Leena Pasanen
  • Päivi Laukkanen-Nevala
  • Ilkka Launonen
  • Sergey Prusov
  • Lasse Holmström
  • Eero Niemelä
  • Jaakko Erkinaro

Abstract

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 (∼10 years) and long time-scale (∼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.

Suggested Citation

  • Leena Pasanen & Päivi Laukkanen-Nevala & Ilkka Launonen & Sergey Prusov & Lasse Holmström & Eero Niemelä & Jaakko Erkinaro, 2017. "Extraction of sea temperature in the Barents Sea by a scale space multiresolution method – prospects for Atlantic salmon," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(13), pages 2317-2336, October.
  • Handle: RePEc:taf:japsta:v:44:y:2017:i:13:p:2317-2336
    DOI: 10.1080/02664763.2016.1252731
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    References listed on IDEAS

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    1. Holmström, Lasse & Pasanen, Leena & Furrer, Reinhard & Sain, Stephan R., 2011. "Scale space multiresolution analysis of random signals," Computational Statistics & Data Analysis, Elsevier, vol. 55(10), pages 2840-2855, October.
    2. Martin Edwards & Anthony J. Richardson, 2004. "Impact of climate change on marine pelagic phenology and trophic mismatch," Nature, Nature, vol. 430(7002), pages 881-884, August.
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