Pelagic fish abundance in relation to regional environmental variation in the Gulf of Finland, northern Baltic Sea

ICES Journal of Marine Science

Volumn 64, Issue 3, 2007, Pages 487-495

  Peltonen, Heikki ^a   Luoto, Miska ^a   Pääkkönen, Jari Pekka ^b   Karjalainen, Miina ^b   Tuomaala, Antti ^a   Pönni, Jukka ^c   Viitasalo, Markku ^b  

^a FINNISH ENVIRONMENT INSTITUTE   (Finland)

^b FINNISH INSTITUTE OF MARINE RESEARCH   (Finland)

^c FINNISH FOREST RESEARCH INSTITUTE   (Finland)

Author keywords

Baltic sea; GAM; Geography; Herring; Hydrography; Modelling; Prey resources; Sprat

Indexed keywords

ABUNDANCE; ABUNDANCE ESTIMATION; ACOUSTIC METHOD; AUTOCORRELATION; BEHAVIORAL ECOLOGY; COMMERCIAL SPECIES; FOOD AVAILABILITY; HYDROGRAPHY; PELAGIC FISH; SPATIAL ANALYSIS;

ATLANTIC OCEAN; BALTIC SEA; GULF OF FINLAND;

CLUPEIDAE; SPRATTUS SPRATTUS;

EID: 34447504477     PISSN: 10543139     EISSN: 10959289     Source Type: Journal    
DOI: 10.1093/icesjms/fsl044     Document Type: Article

References (59)

1. Alheit, J., Möllmann, C., Dutz, J., Kornilovs, G., Loewe, P., Mohrholz, V., and Wassmund, N. 2005. Synchronous ecological regime shifts in the central Baltic and the North Sea in the late 1980s. ICES Journal of Marine Science, 62: 1205-1215.
2. Anderson, M. J., and Gribble, N. A. 1998. Partitioning the variation among spatial, temporal and environmental components in a multivariate data set. Australian Journal of Ecology, 23: 158-167.
3. Axenrot, T., Didrikas, T., Danielsson, C., and Hansson, S. 2004. Diel pattern in pelagic fish behaviour and distribution observed from a stationary, bottom-mounted, and upward-facing transducer. ICES Journal of Marine Science, 61: 1100-1104. Balk, H., and Lindem, T. 2004. Sonar4 and Sonar5-pro. Post-processing system. Operator manual, v5.9.3. Lindem Data Acquisition. 326 pp.
4. Borcard, D., Legendre, P., and Drapeau, P. 1992. Partialing-out the spatial component of ecological variation. Ecology, 73: 1045-1055.
5. Browman, H. I., Cury, P. M., Hilborn, R., Jennings, S., Lotze, H. K., Mace, P. M., Murawski, S., et al. 2004. Perspectives on ecosystem-based approaches to the management of marine resources. Marine Ecology Progress Series, 274: 269-303.
6. Cardinale, M., Casini, M., Arrhenius, F., and Håkansson, N. 2003. Diel spatial distribution and feeding activity of herring (Clupea harengus) and sprat (Sprattus sprattus) in the Baltic Sea. Aquatic Living Resources, 16: 283-292.
7. Casini, M., Cardinale, M., and Arrhenius, F. 2004. Feeding preferences of herring (Clupea harengus) and sprat (Sprattus sprattus) in the southern Baltic Sea. ICES Journal of Marine Science, 61: 1267-1277.
8. Chevan, A., and Sutherland, M. 1991. Hierarchical partitioning. The American Statistician, 45: 90-96.
9. Cushman, S. A., and McGarigal, K. 2004. Hierarchical analysis of forest-bird species-environment relationships in the Oregon coast range. Ecological Applications, 14: 1090-1105.
10. Didrikas, T., and Hansson, S. 2004. In situ target strength of the Baltic Sea herring and sprat. ICES Journal of Marine Science, 61: 378-382.
11. Engström, J., Viherluoto, M., and Viitasalo, M. 2001. Effects of toxic and non-toxic cyanobacteria on grazing, zooplanktivory and survival of the mysid shrimp Mysis mixta. Journal of Experimental Marine Biology and Ecology, 257: 269-280.
12. Flinkman, J., Aro, E., Vuorinen, I., and Viitasalo, M. 1998. Changes in northern Baltic zooplankton and herring nutrition from 1980s to 1990s: top-down and bottom-up processes at work. Marine Ecology Progress Series, 165: 127-136.
13. Flinkman, J., Vuorinen, I., and Aro, E. 1992. Planktivorous Baltic herring (Clupea harengus) prey selectively on reproducing copepods and cladocerans. Canadian Journal of Fisheries and Aquatic Sciences, 49: 73-77.
14. Foote, K. G. 1985. Rather-high-frequency sound scattering by swim-bladdered fish. Journal of the Acoustical Society of America, 78: 688-700.
15. Graham, M. H. 2003. Confronting multi-collinearity in ecological multiple regression. Ecology, 84: 2809-2815.
16. Hastie, T., and Tibshirani, R. 1990. Generalized Additive Models. Chapman and Hall, London. 335 pp.
17. Heikkinen, R. K, Luoto, M., Virkkala, R., and Rainio, K. 2004. Effects of habitat cover, landscape structure and spatial variables on the abundance of birds in an agricultural-forest mosaic. Journal of Applied Ecology, 41: 824-835.
18. HELCOM. 2002. Environment of the Baltic Sea area 1994-1998. Baltic Sea Environmental Proceedings, 82B. 215 pp.
19. Hjerne, O., and Hansson, S. 2002. The role of fish and fisheries in the Baltic Sea nutrient dynamics. Limnology and Oceanography, 47: 1023-1032.
20. ICES. 2000. Manual for the Baltic international acoustic survey (Bias). Version 0.72. In Report of the Baltic International Fish Survey Working Group, pp. 119-143. ICES Document CM 2000/H: 2, Ref.: D.
21. ICES. 2006. Report of the study group on target strength estimation in the Baltic Sea (SGTSEB). ICES Fisheries Technology Committee. ICES CM 2006/FTC:08 REF. BCC, WGFAST. 9pp.
22. Johansson, S., Hansson, S., and Araya-Nuñez, O. 1993. Temporal and spatial variation of coastal zooplankton in the Baltic Sea. Ecography, 16: 167-173.
23. Jolly, G. M., and Hampton, I. 1990. Some problems in the statistical design and analysis of acoustic surveys to assess fish biomass. Rapports et Procès-Verbaux des Réunions du Conseil International pour l'Éxploration de la Mer, 189: 415-420.
24. Koski, M., Engström, J., and Viitasalo, M. 1999. Reproduction and survival of the calanoid copepod Eurytemora affinis fed with toxic and non-toxic cyanobacteria. Marine Ecology Progress Series, 186: 187-197.
25. Kotta, J., Kotta, I., Kangas, P., Laine, A., and Andersin, A. 2002. Gulf of Finland. The development of macrobenthic communities in deep, open-sea areas. In Environment of the Baltic Sea Area, 1994-1998, pp. 83-84. Baltic Sea Environment Proceedings, 82B. Helsinki Commission.
26. Laine, A. O., Sandler, H., Andersin, A.-B., and Stigzelius, J. 1997. Long-term changes of macrozoobenthos in the eastern Gotland Basin and the Gulf of Finland (Baltic Sea) in relation to the hydrographical regime. Journal of Sea Research, 38: 135-159.
27. Legendre, L., and Fortin, M-J. 1989. Spatial pattern and ecological analysis. Vegetatio, 80: 107-138.
28. Liu, Q. 1997. Variation partitioning by partial Redundancy Analysis (RDA). Environmetrics, 8: 75-85.
29. MacKenzie, B. R., Almesjö, L., and Hansson, S. 2004. Fish, fishing, and pollution reduction in the Baltic Sea. Environmental Science and Technology, 38: 1970-1976.
30. MacLennan, D. N., Fernandes, P. G., and Dalen, J. 2002. A consistent approach to definitions and symbols in fisheries acoustics. ICES Journal of Marine Science, 59: 365-369.
31. MacLennan, D. N., and Simmonds, E. J. 1992. Fisheries Acoustics. Chapman and Hall, London. 325 pp.
32. MacNally, R. 2000. Regression and model-building in conservation biology, biogeography and ecology: the distinction between-and reconciliation of-'predictive' and explanatory models. Biodiversity and Conservation, 9: 655-671.
33. Maravelias, C. D., and Reid, D. G. 1997. Identifying the effects of oceanographic features and zooplankton on pre-spawning herring abundance using generalized additive models. Marine Ecology Progress Series, 147: 1-9.
34. Maravelias, C. D., Reid, D. G., and Swartzman, G. 2000. Seabed substrate, water depth and zooplankton as determinants of the pre-spawning spatial aggregation of North Atlantic herring. Marine Ecology Progress Series, 195: 249-259.
35. McBride, G. B., Loftis, J. C., and Adkins, N. C. 1993. What do significance tests really tell us about the environment? Environmental Management, 17: 423-432.
36. McCallum, I. D. 1979. A simple method of taking a subsample of zooplankton. New Zealand Journal of Marine and Freshwater Research, 13: 559-560.
37. MERI. 2005. State of the Gulf of Finland in 2004. H. Haahti P. Kangas. Report Series of the Finnish Institute of Marine Research, 55. Helsinki. 25 pp.
38. Möllmann, C., Kornilovs, G., Fetter, M., and Köster, F. W. 2005. Climate, zooplankton, and pelagic fish growth in the central Baltic Sea. ICES Journal of Marine Science, 62: 1270-1280.
39. Olsen, K. 1990. Fish behaviour and acoustic target strength. Rapports et Procès-Verbaux des Réunions du Conseil International pour l'Éxploration de la Mer, 189: 147-158.
40. Ona, E. 2003. An expanded target-strength relationship for herring. ICES Journal of Marine Science, 60: 493-499.
41. Ona, E., and Mitson, R. B. 1996. Acoustic sampling and signal processing near the seabed: the deadzone revisited. ICES Journal of Marine Science, 53: 677-690.
42. Orlowski, A. 2001. Behavioural and physical effect on acoustic measurements of Baltic fish within a diel cycle. ICES Journal of Marine Science, 58: 1174-1183.
43. Parmanne, R., Rechlin, O., and Sjöstrand, B. 1994. Status of herring and sprat stocks in the Baltic Sea. Dana, 10: 29-54.
44. Peltonen, H., and Balk, H. 2005. The acoustic target strength of herring (Clupea harengus L.) in the northern Baltic Sea. ICES Journal of Marine Science, 62: 803-808.
45. Peltonen, H., Vinni, M., Lappalainen, A., and Pönni, J. 2004. Spatial feeding patterns of herring (Clupea harengus L.), sprat (Sprattus sprattus L.), and the three-spined stickleback (Gasterosteus aculeatus L.) in the Gulf of Finland, Baltic Sea. ICES Journal of Marine Science, 61: 966-971.
46. Perry, A. L., Low, P. J., Ellis, J. R., and Reynolds, J. D. 2005. Climate change and distribution shifts in marine fishes. Science, 308: 1912-1915.
47. Raateoja, M., Seppälä, J., Kuosa, H., and Myrberg, K. 2005. Recent changes in trophic state of the Baltic Sea along SW coast of Finland. Ambio, 34: 188-191.
48. Raid, T., and Lankov, A. 1995. Recent changes in the growth and feeding of Baltic herring and sprat in the northeastern Baltic Sea. Proceedings of the Estonian Academy of Sciences (Ecology), 5: 38-55.
49. Reid, D. G., and Maravelias, C. D. 2001. Relationships between herring-school distribution and seabed substrate derived from RoxAnn. ICES Journal of Marine Science, 58: 1161-1173.
50. Rönkkönen, S., Ojaveer, E., Raid, T., and Viitasalo, M. 2004. Long-term changes in Baltic herring (Clupea harengus membras) growth in the Gulf of Finland. Canadian Journal of Fisheries and Aquatic Sciences, 61: 219-229.
51. Salemaa, H., Vuorinen, I., and Välipakka, P. 1990. The distribution and abundance of mysid populations in the Baltic Sea. Annales Zoologici Fennici, 27: 253-257.
52. Sawada, M. 1999. ROOKCASE: an Excel 97/2000 Visual Basic (VB) add-in for exploring global and local spatial autocorrelation. Bulletin of the Ecological Society of America, 80: 231-234.
53. Simrad, 1995. Simrad EY500 Portable Scientific Echosounder. Instruction Manual. 86 pp.
54. Uusitalo, L., Vehkalahti, K., Kuikka, S., and Söderkultalahti, P. 2005. Studying species associations from commercial catch data: a Baltic Sea application. Fisheries Research, 72: 301-310.
55. Venables, W. N., and Ripley, B. D. 2002. Modern Applied Statistics with S. Springer, Berlin. 495 pp.
56. Watson, D. M., and Peterson, A. T. 1999. Determinants of diversity in a naturally fragmented landscape: humid, montane-forest, avifaunas of Mesoamerica. Ecography, 22: 582-589.
57. Wood, S. 2001. mgcv: GAMs and generalized ridge regression for R. R News, 1: 20-25.
58. Wood, S., and Augustin, N. 2002. GAMs with integrated model selection using penalized regression splines and applications to environmental modelling. Ecological Modelling, 157: 157-177.
59. Yee, T. W., and Mitchell, N. D. 1991. Generalized additive models in plant ecology. Journal of Vegetation Science, 2: 587-602.