The DOI matches its Crossref record; 160 of the 160 references it cites were found in a registry or an index.
Genetic population structure of marine fish: mismatch between biological and fisheries management units
Open accessAbstract
An essential prerequisite of a sustainable fisheries management is the matching of biologically relevant processes and management action. In fisheries management and assessment, fish stocks are the fundamental biological unit, but the reasoning for the operational management unit is often indistinct and mismatches between the biology and the management action frequently occur. Despite the plethora of population genetic data on marine fishes, to date little or no use is made of the information, despite the fact that the detection of genetic differentiation may indicate reproductively distinct populations. Here, we discuss key aspects of genetic population differentiation in the context of their importance for fisheries management. Furthermore, we evaluate the population structure of all 32 managed marine fish species in the north‐east Atlantic and relate this structure to current management units and practice. Although a large number of studies on genetic population structure have been published in the last decades, data are still rare for most exploited species. The mismatch between genetic population structure and the current management units found for six species (Gadus morhua, Melanogrammus aeglefinus, Merlangius merlangus, Micromesistius poutassou, Merluccius merluccius and Clupea harengus), emphasizes the need for a revision of these units and questions the appropriateness of current management measures. The implementation of complex and dynamic population structures into novel and less static management procedures should be a primary task for future fisheries management approaches.
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Cites
Impacts of Biodiversity Loss on Ocean Ecosystem Services
Worm, B., Barbier, E. B., Beaumont, N., Duffy, J. E., Folke, C., Halpern, B. S., Jackson, J. B. C., Lotze, H. K., Micheli, F., Palumbi, S. R., et al. (2006) · Science · doi:10.1126/science.1132294 · Cited by 4,544
Rapid worldwide depletion of predatory fish communities
Myers, R. A., & Worm, B. (2003) · Nature · doi:10.1038/nature01610 · Cited by 2,969
WAPLES, R. S., & GAGGIOTTI, O. (2006) · Molecular Ecology · doi:10.1111/j.1365-294x.2006.02890.x · Cited by 1,504
Separating the wheat from the chaff: patterns of genetic differentiation in high gene flow species
Waples, R. S. (1998) · Journal of Heredity · doi:10.1093/jhered/89.5.438 · Cited by 1,292
Ecosystem recovery after climatic extremes enhanced by genotypic diversity
Reusch, T. B. H., Ehlers, A., Hämmerli, A., & Worm, B. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0500008102 · Cited by 1,245
Environmental correlates of population differentiation in Atlantic herring
Bekkevold, D., Aandré3, C., Dahlgren, T. G., Clausen, L. A. W., Torstensen, E., Mosegaard, H., Carvalho, G. R., Christensen, T. B., Norlinder, E., & Ruzzante, D. E. (2005) · Evolution · doi:10.1111/j.0014-3820.2005.tb00977.x · Cited by 1,223
Cornuet, J.-M., Piry, S., Luikart, G., Estoup, A., & Solignac, M. (1999) · Genetics · doi:10.1093/genetics/153.4.1989 · Cited by 1,199
Identification of management units using population genetic data
PALSBOLL, P., BERUBE, M., & ALLENDORF, F. (2007) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2006.09.003 · Cited by 1,072
A comparison of genetic diversity levels in marine, freshwater, and anadromous fishes
Ward, R. (1994) · Journal of Fish Biology · doi:10.1006/jfbi.1994.1021 · Cited by 984
Collapse and recovery of marine fishes
Hutchings, J. A. (2000) · Nature · doi:10.1038/35022565 · Cited by 912
Cited by
Gene-associated markers provide tools for tackling illegal fishing and false eco-certification
Nielsen, E. E., Cariani, A., Aoidh, E. M., Maes, G. E., Milano, I., Ogden, R., Taylor, M., Hemmer-Hansen, J., Babbucci, M., Bargelloni, L., et al. (2012) · Nature Communications · doi:10.1038/ncomms1845 · Cited by 264
Kerr, L. A., Hintzen, N. T., Cadrin, S. X., Clausen, L. W., Dickey-Collas, M., Goethel, D. R., Hatfield, E. M. C., Kritzer, J. P., & Nash, R. D. M. (2017) · ICES Journal of Marine Science · doi:10.1093/icesjms/fsw188 · Cited by 249
Self-citationAdvances in herring biology: from simple to complex, coping with plasticity and adaptability
Geffen, A. J. (2009) · ICES Journal of Marine Science · doi:10.1093/icesjms/fsp028 · Cited by 84
Conceptual and practical advances in fish stock delineation
Pita, A., Casey, J., Hawkins, S. J., Villarreal, M. R., Gutiérrez, M.-J., Cabral, H., Carocci, F., Abaunza, P., Pascual, S., & Presa, P. (2016) · Fisheries Research · doi:10.1016/j.fishres.2015.10.029 · Cited by 66
Barth, J. M. I., Damerau, M., Matschiner, M., Jentoft, S., & Hanel, R. (2017) · Genome Biology and Evolution · doi:10.1093/gbe/evx067 · Cited by 62
“Any mismatch will exacerbate the increasing trend of unsustainably harvested fish stocks that suffer severe population declines or even collapse (Mullon et al. 2005; Reiss et al. 2009).”
Background
Metadata
- Authors
- Reiss, H., Hoarau, G., Dickey‐Collas, M., & Wolff, W. J.
- Venue
- Fish and Fisheries
- Publisher
- Wiley
- Published
- 2009-11-16
- Volume
- 10
- Issue
- 4
- Pages
- 361-395
- ISSN
- 1467-2960 (ISSN-L)
- 1467-2979
- OpenAlex
- W2119142468
- Cited by
- 512
- References
- 160
- FWCI
- 12.30
- Type
- journal article
- Language
- en
- Open access
- green
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