A generalized, nonlinear regression approach to the length-weight relationship of European perch (Perca fluviatilis L.) from the Polish coast of the southern Baltic Sea

Akaike H. 1973 - Information theory as an extension of the maximum likelihood principle - In: Second International Symposium on Information Theory (Eds) B.N. Petrov, F. Csaki, Akademiai Kiado, Budapest, Hungary: 267-281.Search in Google Scholar

Böhling P., Hudd R., Lehtonen H., Karås P., Neuman E., Thoresson G. 1991 - Variations in year-class strength of different perch (Perca fluviatilis) populations in the Baltic Sea with special to temperature and pollution - Can. J. Fish. Aquat. Sci. 48: 1181-1187.10.1139/f91-142Search in Google Scholar

Byström P., Bergström U., Hjälten A., Ståhl S., Jonsson D., Olsson J. 2015 - Declining coastal piscivore populations in the Baltic Sea: Where and when do sticklebacks matter? - Ambio, 44: 462-471.10.1007/s13280-015-0665-5Search in Google Scholar

Carroll R.J., Ruppert D. 1984 - Power transformations when fitting theoretical models to data - J. Am. Stat. Assoc. 79:321-328.10.1080/01621459.1984.10478052Search in Google Scholar

Cone R.S. 1989 - The need to reconsider the use of condition indices in fishery science - Trans. Am. Fish. Soc. 118:510-514.10.1577/1548-8659(1989)118<0511:TNTRTU>2.3.CO;2Search in Google Scholar

Eriksson B.K., Sieben S., Eklöf J., Ljunggren L., Olsson J., Casini M., Bergström U. 2011 - Effects of altered offshore food webs on coastal ecosystems emphasizes the need for cross ecosystem management - Ambio 40: 786-797.10.1007/s13280-011-0158-0Search in Google Scholar

Feldstien M.J., Hersch A.H. 1935 - The 242 determination of genetic constants of relative growth - Am. Nat. 69:344-353.10.1086/280606Search in Google Scholar

Fox J., Weisberg S. 2011 - An R companion to applied regression - Thousand Oaks, CA, Sage Publications, 449 p.Search in Google Scholar

Froese R. 1998 - Length-weight relationships for 18 less-studied fish species - J. Appl. Ichthyol. 14: 117-118.10.1111/j.1439-0426.1998.tb00626.xSearch in Google Scholar

Froese R. 2006 - Cube law, condition factor and weight-length relationships: history, meta analysis and recommendations - J. Appl. Ichthyol. 22: 241-253.Search in Google Scholar

Galstoff P.S. 1931 - The weight-length relationship of the shells of the Hawaiian pearl oyster, Pinctada sp. - Am. Nat. 65: 423-433.Search in Google Scholar

Giannetto D., Carosi A., Franchi E., La Porta G., Lorenzoni M. 2012 - Proposed standard weight (Ws) equation for European perch (Perca fluviatilis Linnaeus, 1758) - J. Appl. Ichthyol. 28: 34-39.Search in Google Scholar

Guy C.S., Brown M.L. 2007 - Analysis and interpretation of freshwater fisheries data - Am. Fish. Soc., Bethesda, Maryland, 996 p.10.47886/9781888569773.ch1Search in Google Scholar

Huxley J.S. 1924 - Constant differential growth-ratios and their significance - Nature 114: 895-896.10.1038/114895a0Search in Google Scholar

Huxley J.S. 1932 - Problems of relative growth - Metheun, London, UK, 319 p.Search in Google Scholar

Hui D., Jackson R.B. 2007 - Uncertainty in allometric exponent estimation: a case study in scaling metabolic rate with body mass - J. Theor. Biol. 249: 168-177.10.1016/j.jtbi.2007.07.003Search in Google Scholar

Jellyman P.G., Booker D.J., Crow S.K., Jellyman D.J. 2013 - Does one size fit all? An evaluation of length-weight relationships for New Zealand’s freshwater fish species - New Zeal. J. Mar. Fresh. 47: 450-468.10.1080/00288330.2013.781510Search in Google Scholar

Jenning C.A., Sloss B.L., Lasee B.A., Burtle G.J., Moyer G.R. 2012 - Care, handling, and examination of sampled organism - In: Fisheries Techniques, 3nd edn (Eds) A.V. Zale, D.L. Parrish, T.M. Sutton, American Fisheries Society, Bethesda, Meryland: 163-221.Search in Google Scholar

Karås P. 1990 - Seasonal changes in growth and standard metabolic rate of juvenile perch, Perca fluviatilis L. - J. Fish Biol. 37: 913-920.Search in Google Scholar

Le Cren E.D. 1951 - The length-weight relationship and seasonal cycle in gonad weight and condition in the perch (Perca fluviatilis) - J. Anim. Ecol. 20: 201-219.10.2307/1540Search in Google Scholar

Ljunggren L., Sandström A., Bergstrom U., Mattila J., Lappalainen A., Johansson G., Sundblad G., Casini M., Kaljuste O., Eriksson B. K. 2010 - Recruitment failure of coastal predatory fish in the Baltic Sea coincident with an offshore ecosystem regime shift - ICES J. Mar. Sci. 67:1587-159510.1093/icesjms/fsq109Search in Google Scholar

Lloret J., Shulman G., Love R.M. 2014 - Condition and health indicators of exploited marine fishes - Wiley Blackwell, West Sussex, UK, 262 p.10.1002/9781118752777Search in Google Scholar

Ložys L. 2004 - The growth of pikeperch (Sander lucioperca L.) and perch (Perca fluviatilis L.) under different water temperature and salinity conditions in the Curonian Lagoon and Lithuanian coastal waters of the Baltic Sea - Hydrobiologia 514: 105-113.10.1007/978-94-017-0920-0_10Search in Google Scholar

Ogle D.H. 2015 - Introductory fisheries analysis with R - Chapman and Hall/CRC, Boca Raton, USA, 317 p.10.1201/b19232Search in Google Scholar

Olsson J., Bergström L., Gårdmark A. 2012 - Abiotic drivers of coastal fish community change during four decades in the Baltic Sea - ICES J. Mar. Sci. 69: 961-970.10.1093/icesjms/fss072Search in Google Scholar

Oscoz J., Campos F., Escala M.C. 2005 - Weight-length relationships of some fish species of the Iberian Peninsula - J. Appl. Ichthyol. 21: 73-74.10.1111/j.1439-0426.2004.00587.xSearch in Google Scholar

Pinheiro J., Bates D. 2000 - Mixed effects models in S and S-Plus - Springer, New York, USA, 528 p.10.1007/978-1-4419-0318-1Search in Google Scholar

Pinheiro J., Bates D., DebRoy S., Sarkar D. 2015 - NLME: Linear and nonlinear mixed effects models - R package version 3.1-122, URL http://CRAN.R289project.org/package=nlme.Search in Google Scholar

Quinn T.J., Deriso R.B. 1999 - Quantitative fish dynamics - Oxford University Press, New York, Oxford, 542 p.Search in Google Scholar

R Core Team 2014 - R: A language and environment for statistical computing - R Foundation for Statistical Computing, Vienna, Austria. URL http://www.R-project.org/.Search in Google Scholar

Ritz C., Streibig J.C. 2008 - Nonlinear regression with R - Springer, Berlin, Germany, 150 p.10.1007/978-0-387-09616-2Search in Google Scholar

Sprugel D.G. 1983 - Correcting for bias in log-transformed allometric equations - Ecology 64: 209-210.10.2307/1937343Search in Google Scholar

Thorpe J.E. 1977 - Synopsis of biological data on the perch Perca fluviatilis Linnaeus, 1758 and Perca flavescens Mitchill, 1804 - FAO Fisheries Synopsis 113, 138 p.Search in Google Scholar

Zar J.H. 1968 - Calculation and miscalculation of the allometric equation as a model in biological data - Bio-Science 18: 1118-1120. 10.2307/1294589Search in Google Scholar