Hostname: page-component-cd9895bd7-dzt6s Total loading time: 0 Render date: 2024-12-26T17:52:02.717Z Has data issue: false hasContentIssue false
  • English
  • Français

Abundance distribution patterns of intertidal bivalves Macoma balthica and Cerastoderma edule at the Murman coast tidal flats (the Barents Sea)

Published online by Cambridge University Press:  15 July 2015

Sophia A. Nazarova Open the ORCID record for Sophia A. Nazarova [Opens in a new window] ,
Ksenia Shunkina  and
Evgeny A. Genelt-Yanovskiy Open the ORCID record for Evgeny A. Genelt-Yanovskiy [Opens in a new window]
Sophia A. Nazarova*
Affiliation:
Department of Ichthyology and Hydrobiology, St-Petersburg State University, 16 line V.O., 29, St-Petersburg, 199178, Russia Department of Zoology, Russian State Pedagogical University, Moyka emb., 48, St-Petersburg, 191186, Russia
Ksenia Shunkina
Affiliation:
Laboratory of Evolutionary Morphology, Zoological Institute RAS, Universitetskaya emb., 1, St-Petersburg, 199034, Russia
Evgeny A. Genelt-Yanovskiy
Affiliation:
Department of Ichthyology and Hydrobiology, St-Petersburg State University, 16 line V.O., 29, St-Petersburg, 199178, Russia
*
Correspondence should be addressed to: S.A. Nazarova, Ichthyology and Hydrobiology, St-Petersburg State University, 16 line V.O., 29, St-Petersburg, 199178, Russian Federation email: sophia.nazarova@gmail.com
Get access Rights & Permissions [Opens in a new window]

Abstract

Density distribution of the common infaunal bivalves, Macoma balthica and Cerastoderma edule, was studied along the Murman Coast of the Barents Sea during 2002–2010. In both species, abundance was generally higher in West Murman in contrast to East Murman. Highest density of Macoma balthica reaching 1535 ind. m−2 was observed in the Kola Inlet. Cerastoderma edule was less abundant; its density rarely exceeded 10 ind. m−2 in all but one site, where 282 ind. m−2 was registered. Reconstruction of abundance distribution across the European geographic range of Macoma balthica revealed that it does not match an ‘abundant-centre’ pattern, having features of ramped north. On the other hand, distribution of Cerastoderma edule abundance across the range generally follows an ‘abundant-centre’ pattern but southern edge populations show relatively higher abundances as compared with those at the north edge (the Barents Sea).

Keywords

Cerastoderma edulecockleMacoma balthicaBarents Seageographic abundance distributionlatitudinal variationspecies ranges
Type
Research Article
Information
Journal of the Marine Biological Association of the United Kingdom , Volume 95 , Issue 8 , December 2015 , pp. 1613 - 1620
Copyright
Copyright © Marine Biological Association of the United Kingdom 2015 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Agarova, I.Ya. (1979) Some aspects of the linear growth of bivalve mollusks in the population of Cerastoderma edule L. In Molluscs: main results of studies: abstracts of the annual all-union conference. Leningrad: Nauka, pp. 80–82. (In Russian)Google Scholar
Agarova, I.Ya., Voronova, M.N., Galtsova, V.V., Ioffe, B.I., Letova, N.V., Streltsov, V.E. and Streltsova, S.I. (1976) In Streltsov, V.E. and Gurevich, V.I. (eds) Distribution and ecology of benthic fauna on intertidal sandbank Dalniy Plaj. Ecological studies of soft-bottom littoral. Apatity, pp. 95–186. (In Russian)Google Scholar
André, C. and Rosenberg, R. (1991) Adult-larval interactions in the suspension-feeding bivalves Cerastoderma edule and Mya arenaria. Marine Ecology Progress Series 71, 227–234.CrossRefGoogle Scholar
Aschan, M. (1988) Soft bottom macrobenthos in a Baltic archipelago: spatial variation and optimal sampling strategy. Annales Zoologici Fennici 25, 153–164.Google Scholar
Bachelet, G., Guillou, J. and Labourg, P.J. (1992) Adult-larval and juvenile interactions in the suspension-feeding bivalve, Cerastoderma edule (L.): field observations and experiments. In Colombo, G. (ed.) Marine eutrophication and population dynamics. Fredensborg: Olsen and Olsen, pp. 175–182.Google Scholar
Beukema, J.J. (1976) Biomass and species richness of the macro-benthic animals living on the tidal flats of the Dutch Wadden Sea. Netherlands Journal of Sea Research 10, 236–261.CrossRefGoogle Scholar
Beukema, J.J. (1989) Long-term changes in macrozoobenthic abundance on the tidal flats of the western part of the Dutch Wadden Sea. Helgoländer Meeresuntersuchungen 43, 405–415.CrossRefGoogle Scholar
Beukema, J.J. and Dekker, R. (2014) Variability in predator abundance links winter temperatures and bivalve recruitment: correlative evidence from long-term data in a tidal flat. Marine Ecology Progress Series 513, 1–15.CrossRefGoogle Scholar
Beukema, J.J., Dekker, R. and Jansen, J.M. (2009) Some like it cold: populations of the tellinid bivalve Macoma balthica (L.) suffer in various ways from a warming climate. Marine Ecology Progress Series 384, 135–145.CrossRefGoogle Scholar
Boström, C. and Bonsdorff, E. (2000) Zoobenthic community establishment and habitat complexity – the importance of seagrass shoot-density, morphology and physical disturbance for faunal recruitment. Marine Ecology Progress Series 205, 123–138.CrossRefGoogle Scholar
Brown, J.H., Mehlman, D.W. and Stevens, G.C. (1995) Spatial variation in abundance. Ecology 76, 2028–2043.CrossRefGoogle Scholar
Callaway, R., Burdon, D., Deasey, A., Mazik, K. and Elliott, M. (2013) The riddle of the sands: how population dynamics explains causes of high bivalve mortality. Journal of Applied Ecology 50, 1050–1059.CrossRefGoogle Scholar
Dare, P.J., Bell, M.C., Walker, P. and Bannister, R.C.A. (2004) Historical and current status of cockle and mussel stocks in The Wash. Lowestoft: Centre for Environment, Fisheries and Aquaculture Science (CEFAS). 85 pp.Google Scholar
Denisenko, S.G., Denisenko, N.V., Lehtonen, K.K., Andersin, A.B. and Laine, A.O. (2003) Macrozoobenthos of the Pechora Sea (SE Barents Sea): community structure and spatial distribution in relation to environmental conditions. Marine Ecology Progress Series 258, 109–123.CrossRefGoogle Scholar
Denisov, V.V. and Dzhenyuk, S.L. (1995) Chapter 2. Abiotic conditions. Abiotic conditions of Kola Peninsula. In The biological resources of the coastal zone of the Kola Peninsula. Modern state and rational usage. Apatity, Murmansk, Russia: Russian Academy of Sciences, pp. 10–25. (In Russian)Google Scholar
Ducrotoy, J.P., Rybarczyk, H., Souprayen, J., Bachelet, G., Beukema, J., Desprez, M. and Ibanez, F. (1991) A comparison of the population dynamics of the cockle (Cerastoderma edule, L.) in north-western Europe. In Elliott, M. and Ducrotoy, J.-P. (eds) Estuaries and coasts: spatial and temporal intercomparisons. International Symposium Series, ECSA-19 Symposium. Fredensborg: Olsen and Olsen. pp. 173–184.Google Scholar
Gam, M., de Montaudouin, X. and Bazairi, H. (2010) Population dynamics and secondary production of the cockle Cerastoderma edule: a comparison between Merja Zerga (Moroccan Atlantic Coast) and Arcachon Bay (French Atlantic Coast). Journal of Sea Research 63, 191–201.CrossRefGoogle Scholar
Gaston, K.J. (2009) Geographic range limits of species. Proceedings of the Royal Society B: Biological Sciences 276, 1391–1393.CrossRefGoogle ScholarPubMed
Genelt-Yanovskiy, E., Poloskin, A., Granovitch, A., Nazarova, S. and Strelkov, P. (2010) Population structure and growth rates at biogeographic extremes: a case study of the common cockle, Cerastoderma edule (L.) in the Barents Sea. Marine Pollution Bulletin 61, 247–253.CrossRefGoogle ScholarPubMed
Gerasimova, A.V. and Maximovich, N.V. (2013) Age–size structure of common bivalve mollusc populations in the White Sea: the causes of instability. Hydrobiologia 706, 119–137.CrossRefGoogle Scholar
Gjøsæter, H. (1995) Pelagic fish and the ecological impact of the modern fishing industry in the Barents Sea. Arctic 48, 267–278.CrossRefGoogle Scholar
Gourjanova, E.F. and Ushakov, P.V. (1929) A littoral of eastern Murman. Studies of the Seas of USSR 10, 5–40. (In Russian)Google Scholar
Gourjanova, E.F., Zaks, I.G. and Ushakov, P.V. (1929) A littoral of Kola Inlet. Proceedings of the Leningrad Society of Naturalists 60, 17–107. (In Russian)Google Scholar
Gourjanova, E.F., Zaks, I.G. and Ushakov, P.V. (1930) A littoral of western Murman. Studies of the Seas of USSR 2, 47–52. (In Russian)Google Scholar
Hollander, M.L. and Wolfe, D.A. (1973) Nonparametric statistical methods. New York, NY: John Wiley and Sons/Perry Press.Google Scholar
Holt, R.D. and Keitt, T.H. (2000) Alternative causes for range limits: a metapopulation perspective. Ecology Letters 3, 41–47.CrossRefGoogle Scholar
Ivell, R. (1981) A quantitative study of a Cerastoderma – Nephthys community in the Limfjord, Denmark, with the special reference to production of Cerastoderma edule. Journal of Molluscan Studies 47, 147–170.Google Scholar
Jensen, K.T. and Jensen, J.N. (1985) The importance of some epibenthic predators on the density of juvenile benthic macrofauna in the Danish Wadden Sea. Journal of Experimental Marine Biology and Ecology 89, 157–174.CrossRefGoogle Scholar
Johnstone, J.F. and Chapin, F.S. (2003) Non-equilibrium succession dynamics indicate continued northern migration of lodgepole pine. Global Change Biology 9, 1401–1409.CrossRefGoogle Scholar
Krakau, M., Jacobsen, S., Jensen, K.T. and Reise, K. (2012) The cockle Cerastoderma edule at Northeast Atlantic shores: genetic signatures of glacial refugia. Marine Biology 159, 221–230.CrossRefGoogle Scholar
Kuznetsov, V.V. (1960) White Sea and biological features of its flora and fauna. Moscow – Leningrad: Publishing House of the Academy of Sciences of the USSR. (In Russian)Google Scholar
Malham, S.K., Hutchinson, T.H. and Longshaw, M. (2012) A review of the biology of European cockles (Cerastoderma spp.). Journal of the Marine Biological Association of the United Kingdom 92, 1563–1577.CrossRefGoogle Scholar
Maximovich, N.V. and Gerasimova, A.V. (2004) Age determination of the White Sea bivalves by the shell morphology. In Railkin, A.I. (ed.) Proceedings of the V Scientific Session of the Marine Biological Station of St. Petersburg State University, St. Petersburg, Russia. St-Petersburg: St-Petersburg University Press, pp. 29–30. (In Russian)Google Scholar
Maximovich, N.V., Gerasimova, A.V. and Kunina, T.A. (1992) Production characteristics of Macoma balthica population in Chupa Bay (White Sea). I. Linear growth Vestnik Sankt-Peterburgskogo Universiteta. Series 3: Biology 4, 12–19. (In Russian)Google Scholar
Mikkelsen, N. and Pedersen, T. (2004) How can the stock recruitment relationship of the Barents Sea capelin (Mallotus villosus) be improved by incorporating biotic and abiotic factors? Polar Research 23, 19–26.CrossRefGoogle Scholar
Nazarova, S.A., Genelt-Yanovsky, E.A. and Maximovich, N.V. (2010) Linear growth of Macoma balthica in the Murmansk tidal zone (the Barents Sea). Vestnik Sankt-Peterburgskogo Universiteta. Series 3: Biology 4, 35–43. (In Russian)Google Scholar
Nikula, R., Strelkov, P. and Väinölä, R. (2007) Diversity and trans-arctic invasion history of mitochondrial lineages in the North Atlantic Macoma balthica complex (Bivalvia: Tellinidae). Evolution 61, 928–941.CrossRefGoogle ScholarPubMed
Oug, E. (2001) Polychaetes in intertidal rocky and sedimentary habitats in the region of Tromsø, northern Norway. Sarsia 86, 75–83.CrossRefGoogle Scholar
Pfenninger, M., Nowak, C. and Magnin, F. (2007) Intraspecific range dynamics and niche evolution in Candidula land snail species. Biological Journal of the Linnean Society 90, 303–317.CrossRefGoogle Scholar
Ramón, M. (2003) Population dynamics and secondary production of the cockle Cerastoderma edule (L.) in a backbarrier tidal flat in the Wadden Sea. Scientia Marina 67, 429–443.CrossRefGoogle Scholar
R Core Team (2014) R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing. URL http://www.R-project.org/Google Scholar
Reise, K., Herre, E. and Sturm, M. (1994) Biomass and abundance of macrofauna in intertidal sediments of Königshafen in the northern Wadden Sea. Helgoländer Meeresuntersuchungen 48, 201–215.CrossRefGoogle Scholar
Rivadeneira, M.M., Hernáez, P., Antonio Baeza, J., Boltana, S., Cifuentes, M., Correa, C. and Thiel, M. (2010) Testing the abundant-centre hypothesis using intertidal porcelain crabs along the Chilean coast: linking abundance and life-history variation. Journal of Biogeography 37, 486–498.CrossRefGoogle Scholar
Rousi, H., Laine, A.O., Peltonen, H., Kangas, P., Andersin, A.B., Rissanen, J. and Bonsdorff, E. (2013) Long-term changes in coastal zoobenthos in the northern Baltic Sea: the role of abiotic environmental factors. ICES Journal of Marine Science: Journal du Conseil 70, 440–451.CrossRefGoogle Scholar
Sagarin, R.D. and Gaines, S.D. (2002) The ‘abundant centre’ distribution: to what extent is it a biogeographical rule? Ecology Letters 5, 137–147.CrossRefGoogle Scholar
Sagarin, R.D., Gaines, S.D. and Gaylord, B. (2006) Moving beyond assumptions to understand abundance distributions across the ranges of species. Trends in Ecology and Evolution 21, 524–530.CrossRefGoogle ScholarPubMed
Savari, A., Sylvestre, C., Sheader, M., Le Gal, Y. and Lockwood, A.P.M. (1989) Stress studies on the common cockle (Cerastoderma edule L.) in Southampton Water. Topics in Marine biology. Scientia Marina 53, 729–735.Google Scholar
Semenova, N.L. (1974) The distribution of the bivalve Macoma balthica (L.) in some inlets of Kandalaksha Bay of the White Sea. Proceedings of the White Sea Biological Station of the Moscow State University 4, 87–102. (In Russian)Google Scholar
Sexton, J.P., McIntyre, P.J., Angert, A.L. and Rice, K.J. (2009) Evolution and ecology of species range limits. Annual Review of Ecology, Evolution, and Systematics 40, 415–436.CrossRefGoogle Scholar
Sneli, J.A. (1968) The intertidal distribution of polychaetes and molluscs on a muddy shore in Nord-Möre, Norway. Sarsia 31, 63–68.CrossRefGoogle Scholar
Strasser, M., Reinwald, T. and Reise, K. (2001) Differential effects of the severe winter of 1995/96 on the intertidal bivalves Mytilus edulis, Cerastoderma edule and Mya arenaria in the Northern Wadden Sea. Helgoland Marine Research 55, 190–197.CrossRefGoogle Scholar
Strelkov, P., Nikula, R. and Väinölä, R. (2007) Macoma balthica in the White and Barents Seas: properties of a widespread marine hybrid swarm (Mollusca: Bivalvia). Molecular Ecology 16, 4110–4127.CrossRefGoogle ScholarPubMed
Svenning, J.C., Normand, S. and Kageyama, M. (2008) Glacial refugia of temperate trees in Europe: insights from species distribution modelling. Journal of Ecology 96, 1117–1127.CrossRefGoogle Scholar
Tukey, J.W. (1976) Exploratory data analysis. Reading, MA: Addison-Wesley.Google Scholar
Varfolomeeva, M. and Naumov, A. (2013) Long-term temporal and spatial variation of macrobenthos in the intertidal soft-bottom flats of two small bights (Chupa Inlet, Kandalaksha Bay, White Sea). Hydrobiologia 706, 175–189.CrossRefGoogle Scholar
Zenkevich, L.A. (1963) Biology of the seas of the U.S.S.R. Moscow. Translated from Russian to English by Botsharskaya, S.. New York, NY: Interscience Publishers.CrossRefGoogle Scholar
Supplementary material: File

Nazarova supplementary material

Appendix A

Download Nazarova supplementary material(File)
File 116.7 KB