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Sigmoid models for the uptake, concentration and effects of metals in consumer organisms

  • Part III Physiological and Toxicological Aspects of Metals
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Abstract

The uptake, concentration and effects of metals contamination in consumer organisms have been successfully described with the flexibly-shaped Richards sigmoid model. This model allows the simultaneous estimation of: (1) final asymptotic level of contaminant uptake or body growth, (2) the time required to approach asymptote, and (3) the particular path or trajectory taken by the function in approaching asymptote within the designated time. Analyses using the Richards model have shown that data for a variety of contaminants fail to conform to the shape of the classic monomolecular model and rather show an initial lag in the early uptake rate. In effects studies, the use of the Richards model to analyze body growth data from waterfowl exposed to dietary intake of Cd and other contaminants has shown that growth curve shape is more likely to change in response to contaminant intake than are either final asymptotic levels or the times required for asymptotes to be attained. Failure to consider such changes in growth curve shape could cause significant errors in the identification of growth responses to contaminant intake stress.

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References

  • Brisbin, I.L., Jr. In Press. ‘Avian radioecology.’ In: Current Ornithology Vol. 8. Plenum Press. New York.

  • Brisbin, I.L., Jr., McLeod, K.W., and White, G.C.: 1986a, Health Phys. 52, 553.

    Google Scholar 

  • Brisbin, I.L., Jr., White, G.C., and Bush, P.B. 1986b., Growth 50, 1.

    Google Scholar 

  • Brisbin, I.L., Jr., White, G.C., Bush, P.B., and Mayack, L.A.: 1986c, Growth 50, 41.

    Google Scholar 

  • Brisbin, I.L., Jr., Collins, C.T., White, G.C. and McCallum, D.A.: 1987, The Auk 104, 552.

    Google Scholar 

  • Brisbin, I.L., Jr., Newman, M.C., McDowell, S.G., and Peters, E.L.: 1990, Environ. Toxicol. 9, 141.

    Google Scholar 

  • Fendley, T.T. and Brisbin, I.L., Jr.: 1977, Growth curve analyses: investigations of a new tool for studying the effects of environmental stress upon wildlife populations. Proc. XIII Intern. Congr. Game Biol., Atlanta, GA, pp. 337–350.

  • Fletcher, R.I.: 1975, Math. Biosci. 27, 349.

    Google Scholar 

  • Matis, J.H.: 1972, Biometrics 28, 597.

    Google Scholar 

  • Matis, J.H., Wehrly, T.E. and Gerald, K.B.: 1983, The statistical analysis of pharmacokinetic data. In S. Levin, ed., Lecture Notes in Biomathematics: Tracer Kinetics and Physiologic Modeling. Springer-Verlag, New York, pp. 1–59.

    Google Scholar 

  • McCallum, D.A. and Dixon, P.M.: In Press. ‘Reducing bias in estimates of the Richards Growth Function shape parameter. Growth Development and Aging.

  • Richards, F.J.: 1959, Jour. Exp. Bot. 10, 290.

    Google Scholar 

  • White, G.C. and Brisbin, I.L., Jr.: 1980, Growth 44, 97.

    Google Scholar 

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Lehr Brisbin, I., Newman, M.C. Sigmoid models for the uptake, concentration and effects of metals in consumer organisms. Water Air Soil Pollut 57, 691–696 (1991). https://doi.org/10.1007/BF00282933

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  • DOI: https://doi.org/10.1007/BF00282933

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