Journal article
A spatial statistical approach for identifying population structuring of marine fish species: European sprat as a case study
Centre for Ocean Life, National Institute of Aquatic Resources, Technical University of Denmark1
National Institute of Aquatic Resources, Technical University of Denmark2
Section for Ecosystem based Marine Management, National Institute of Aquatic Resources, Technical University of Denmark3
National Oceanic and Atmospheric Administration4
Yale University5
Section for Marine Living Resources, National Institute of Aquatic Resources, Technical University of Denmark6
Many marine fish species are widely distributed over large areas. Failing to acknowledge that such species may be composed of distinct populations may result in overestimation of the stock's true harvest potential. To avoid overexploitation, ways to identify population structuring are therefore needed.
In this study, we developed and applied a statistical approach to identify biologically relevant population boundaries for a widely distributed marine fish species, European sprat (Sprattus sprattus). Specifically, we compiled and standardized multiple trawl-survey data sets and used a range of statistical tools to assess whether the current management boundaries adequately account for potential population structuring.
Our results demonstrate regional differences in spatial abundance patterns, temporal dynamics and population demographics. These findings are in line with recent genetic studies of sprat, indicating reproductive isolation between the Baltic Sea/Kattegat and a larger cluster containing the North-, Irish-, Celtic Sea, and Bay of Biscay.
Since relying on routinely collected survey data, our statistical approach can be a cost-effective complement to population genetic methods for detecting population structuring. These can be used to guide spatial management efforts and ensure sustainable exploitation, especially under climate change and the expected changes in species distributions across current management borders.
Language: | English |
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Publisher: | Oxford University Press |
Year: | 2022 |
Pages: | 423-434 |
ISSN: | 10959289 and 10543139 |
Types: | Journal article |
DOI: | 10.1093/icesjms/fsac007 |
ORCIDs: | Lindegren, Martin , 0000-0003-4778-9443 , 0000-0001-7415-1010 , Bekkevold, Dorte and van Deurs, Mikael |