Open Access
Knowl. Managt. Aquatic Ecosyst.
Number 399, 2010
Article Number 02
Number of page(s) 15
Published online 14 October 2010
  • Allen M.S., and Pine W.E. III, 2000. Detecting fish population responses to a minimum length limit: effects of variable recruitment and duration of evaluation. N. Am. J. Fish. Manage., 20, 672–682. [CrossRef]
  • Anderson R.O., 1976. Management of small warm water impoundments. Fisheries, 1, 26–28.
  • Anderson R.O. and Neumann R.M., 1996. Length, weight, and associated structural indices. In: Murphy B.R. and Willis D.W. (eds.), Fisheries techniques, American Fisheries Society, Bethesda, 447–482.
  • Anderson R.O. and Weithman A.S., 1978. The concept of balance for coolwater fish populations. In: Kendall R.L. (ed.), Selected coolwater fishes of North America, American Fisheries Society, Special Publication, 11, Bethesda, 371–381.
  • Bagenal T.B. and Tesch F.W., 1978. Age and growth. In: Bagenal T.B. (ed.), Methods for assessment of fish production in fresh waters, 3rd edn., IBP Handbook, 3, Blackwell Science Publications, Oxford, 101–136.
  • Bailey P.E. andHubert W.A., 2003. Factors associated with stocked cutthroat trout populations in high-mountain lakes. N. Am. J. Fish. Manage., 23, 611–618. [CrossRef]
  • Bicchi A., Angeli A., Pedicillo G., La Porta G., Carosi A., Viali P. and Lorenzoni M., to appear. Biologia riproduttiva di Salmo (trutta) trutta Linnaeus, 1758 nel torrente Monterivoso. Acta Biol.
  • Braña E.,Nicieza A.G. andToledo M.M., 1992. Effects of angling on population structure of brown trout, Salmo trutta L., in mountain streams of Northern Spain. Hydrobiologia, 237, 61–66. [CrossRef]
  • Britton J.R., 2007. Reference data for evaluating the growth of common riverine fishes in the UK. J. Appl. Ichthyol., 23, 555–560. [CrossRef]
  • Carline R.F.,Johnson B.L. andHall T.J., 1984. Estimation and interpretation of proportional stock density for fish populations in Ohio impoundments. N. Am. J. Fish. Manage., 4, 139–154. [CrossRef]
  • Casselman J.M. and Crossman E.J., 1986. Size, age and growth of trophy muskellunge and muskellunge-northern pike hybrids – The Cleithrum Project, 1979–1983. In: Hall G.E. (ed.), Managing muskies – a treatise on the biology and propagation of muskellunge in North America, American Fisheries Society Special Publication, 15, Bethesda, 93–110.
  • Cowx I.G., 2000. Factors influencing coarse fish populations in rivers, Environment Agency Research and Development Publication, Bristol.
  • Devries D.R. and Frie R.V., 1996. Determination of age and growth. In: Murphy B.R. and Willis D.W. (eds.), Fisheries Techniques, American Fisheries Society, Bethesda, 483–508.
  • EU, 2000. Directive 2000/60/EC of the European Parliament and the Council of 23 October 2000 establishing a framework for community action in the field of water policy, The European Parliament and the Council of the European Union.
  • Francis R.I.C.C., 1996. Do herring grow faster than orange roughy? Fish. Bull. (U.S.), 94, 783–786.
  • Froese R. andBinohlan C., 2000. Empirical equations for estimating maximum length from length at first maturity. J. Appl. Ichthyol., 25, 611–613.
  • Gabelhouse D.W. Jr., 1984. A length-categorization system to assess fish stocks. N. Am. J. Fish. Manage., 4, 273–285. [CrossRef]
  • Gassner H.,Tischler G. andWanzenböck J., 2003. Ecological integrity assessment of lakes using fish communities-suggestion of new metrics developed in two Austrian prealpine lakes. Int. Rev. Hydrobiol., 88, 635–652. [CrossRef]
  • Guy C.S. andWillis D.W., 1990. Structural relationships of largemouth bass and bluegill populations in South Dakota ponds. N. Am. J. Fish. Manage., 10, 338–343. [CrossRef]
  • Hickley P. andDexter K.F., 1979. A comparative index for quantifying growth in length of fish. Fish. Manage., 10, 147–151.
  • Hubert W.A., 1999. Standards for assessment of age and growth data for channel catfish. J. Freshwater Ecol., 14, 313–326.
  • Huet M., 1962. Influence du courant sur la distribution des poissons dans les eaux courantes. Schweiz. Z. Hydrob., 24, 412–431. [CrossRef]
  • Jackson J.J. andHurley K.L., 2005. Relative growth of white crappie and black crappie in the United States. J. Freshwater Ecol., 20, 461–467.
  • Jackson Z.J., Quist M.C. and Larscheid J.G., 2008. Growth standards for nine North American fish species. Fisheries Manag. Ecol., 15, 107–118. [CrossRef]
  • Jennings S.,Reynolds J.D. andMills S.C., 1998. Life history correlates of response to fisheries exploitation. Proc. R. Soc. Lond. B, 265, 333–339.
  • Jonsson N.,Naesje T.F.,Jonsson B.,Saksgard R. andSandlund O.T., 1999. The influence of piscivory on life history traits of brown trout. J. Fish Biol., 55, 1129–1141. [CrossRef]
  • Kitchell E. and Carpenter S.R., 1993. Variability in lake ecosystems: complex responses by the apical predator. In: McDonnell M. and Pickett S.T.A. (eds.), Humans as components of ecosystems, Springer-Verlag, New York, 111–124.
  • Kocovsky P.M. andCarline R.F., 2001. A comparison of methods for estimating ages of unexploited walleyes. N. Am. J. Fish. Manage., 20, 1044–1048.
  • Lorenzoni M., Mearelli M. and Ghetti L., 2006. Native and exotic fish species in the Tiber River watershed (Umbria-Italy) and their relationship to the longitudinal gradient. Bull. Fr. Pêche Piscic., 382, 19–44. [CrossRef] [EDP Sciences]
  • Milewski C.l. and Brown M.l., 1994. Proposed standard weight (Ws) equation and length-categorization standards for stream-dwelling brown trout (Salmo trutta). J. Freshwater Ecol., 9, 111–117.
  • Novinger G.D. and Legler R.E., 1978. Bluegill population structure and dynamics. In: Novinger G.D. and Dillard J.G. (eds.), New approaches to the management of small impoundments, American Fisheries Society, North Central Division, Special Publication, 5, Bethesda, 37–49.
  • Pauly D. andMunro J.L., 1984. Once more on comparison of growth in fish and invertebrates. ICLARM Fishbyte, 1, 21–22.
  • Pilling G.M.,Kirkwood G.P. andWalker S.G., 2002. An improved method for estimating individual growth variability in fish, and the correlation between von Bertalanffy growth parameters. Can. J. Fish. Aquat. Sci., 37, 424–432. [CrossRef]
  • Quist M.C.,Guy C.S.,Schultz R.D. andStephen J.L., 2003. Latitudinal comparison of walleye growth in North America and factors influencing growth of walleyes in Kansas reservoirs. N. Am. J. Fish. Manage., 23, 677–692. [CrossRef]
  • Sainsbury K.J., 1980. The effect of individual variability on the von Bertalanffy growth equation. Can. J. Fish. Aquat. Sci., 27, 241–247. [CrossRef]
  • Stone C. andLott J., 2002. Use of a minimum length limit to manage walleyes in Lake Francis Case, South Dakota. N. Am. J. Fish. Manage., 22, 975–984. [CrossRef]
  • Volta P., to appear. Analisi della struttura di popolazione di coregone lavarello (Coregonus sp.) in tre laghi profondi italiani mediante indici stock density. Acta Biol.
  • Volta P. and Oggioni A., to appear. Lake Fish Index (LFI): indice preliminare per la valutazione dello stato ecologico della fauna ittica nei bacini lacustri. Acta Biol.
  • Von Bertalanffy L., 1938. A quantitative theory of organic growth. Hum. Biol., 10, 181–213.
  • Willis D.V. andScalet C.G., 1989. Relations between proportional stock density and growth and condition of northern pike populations. N. Am. J. Fish. Manage., 9, 488–492. [CrossRef]
  • Willis D.W.,Guy C.S. andMurphy B.R., 1991. Development and evaluation of a standard weight (Ws) equation for yellow perch. N. Am. J. Fish. Manage., 11, 374–380. [CrossRef]
  • Willis D.W., Murphy B.A. and Guy C.S., 1993. Stock density indices: development, use, and limitations. Rev. Fish. Sci., 1, 203–222. [CrossRef]
  • Zick D., Gassner H., Rinnerthaler M., Jäger P and Patzner R.A., 2007. Application of population size structure indices to Arctic charr Salvelinus alpinus (L.) in Alpine lakes in Austria. Ecol. Freshw. Fish, 16, 54–63. [CrossRef]
  • Živkov M.T.,Trichkova T.A. andRaikova-Petrova G.N., 1999. Biological reasons for the unsuitability of growth parameters and indices for comparing fish growth. Environ. Biol. Fish., 54, 67–76. [CrossRef] [MathSciNet] [PubMed]

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