Effect of environmental drivers on the spatiotemporal distribution of mackerel at age in the Nordic Seas during 2010−20

Author:

Ono K1ORCID,Katara I23,Eliasen S K4ORCID,Broms C1,Campbell A5,dos Santos Schmidt T C6ORCID,Egan A5,Hølleland S N7,Jacobsen J A4ORCID,Jansen T89,Mackinson S10ORCID,Mousing E A1ORCID,Nash R D M2ORCID,Nikolioudakis N1,Nnanatu C211,Nøttestad L1,Singh W6ORCID,Slotte A1ORCID,Wieland K12,Olafsdottir A H6

Affiliation:

1. Institute of Marine Research (IMR) , P.O box 1870 Nordnes NO-5817 Bergen , Norway

2. Centre for Environment, Fisheries and Aquaculture Science (Cefas) , Pakefield Road, Lowestoft, Suffolk, NR33 0HT , United Kingdom

3. International Whaling Commission (IWC), The Red House , 135 Station Road, Impington, Cambridge, CB24 9NP , United Kingdom

4. Faroe Marine Research Institute (FAMRI) , Nóatún 1, FO-100 Tórshavn , Faroe Islands

5. Marine Institute, Rinville , Oranmore, Co Galway, H91 R673 , Norway

6. Marine and Freshwater Research Institute , Fornubúðir 5, IS-220 Hafnarfjörður , Iceland

7. Department of Business and Management Science, Norwegian School of Economics , Helleveien 30, 5045 Bergen , Norway

8. GINR (Greenland Institute of Natural Resources) , Kivioq 2, PO Box 570, 3900 Nuuk , Greenland

9. DTU AQUA (National Institute of Aquatic Resources) , Kemitorvet, 2800 Kgs. Lyngby , Denmark

10. Scottish Pelagic Fishermen’s Association, Heritage House , Shore Street, Fraserburgh, Aberdeenshire, AB43 9BP , United Kingdom

11. WorldPop Research Group, School of Geography and Environmental Science, University of Southampton , Highfield Campus, Southampton, SO17 1BJ , United Kingdom

12. DTU AQUA (National Institute of Aquatic Resources) , Nordsøen Forskerpark, Willemoesvej 2, 9850 Hirtshals , Denmark

Abstract

Abstract A joint spatio–temporal distribution model of mackerel (ages 3–10) was developed to investigate the age-based responses of mackerel to three environmental drivers: sea surface temperature (SST), mixed layer depth, and chlorophyll-a concentration during the summer months 2010–20 in the Nordic Seas. The study showed that SST was the most important variable amongst the ones tested and had the strongest impact on the distribution of the younger age classes (3–5), which had a narrower range of favourable SST and a stronger aversion to cold temperatures than older individuals. Consequently, the impact of SST differed regionally; in the polar front regions, SST explained up to 61% of the variability in the observed density of young individuals, where Arctic water masses likely acted as a barrier to these young individuals. That said, part of it could be confounded with the limited migration capability of young mackerels, which could not reach the furthest frontal regions. In warmer southern waters, the same environmental variables had less explanatory power for mackerel of all ages. Individuals in the south were likely not constrained by temperature and perhaps more influenced by other variables, such as food availability or ocean current (throughout their migration path), for which appropriate data are lacking. Moreover, the model showed that older mackerel were distributed more to the north and west, and their migration pattern changed when the 2013 year-class no longer migrated to the west compared to previous year-classes. Additionally, all-year classes started migrating more eastward from summer 2018.

Funder

Research Council of Norway

Publisher

Oxford University Press (OUP)

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