Literature DB >> 19192801

Gaining insight in the interaction of zinc and population density with a combined dynamic energy budget and population model.

Chris Klok1.   

Abstract

Laboratory tests are typically conducted under optimal conditions testing the single effect of a toxicant In the field, due to suboptimal conditions, density dependence can both diminish and enhance effects of toxicants on populations. A review of the literature indicated that general insight on interaction of density and toxicants is lacking, and therefore no predictions on their combined action can be made. In this paper the influence of zinc was tested at different population densities on the demographic rates: growth, reproduction, and survival in the earthworm Lumbricus rubellus. Changes in these rates were extrapolated with a combined Dynamic energy budget (DEB) and a population model to assess consequences at the population level. Inference from the DEB model indicated that density decreased the assimilation of food whereas zinc increased the maintenance costs. The combined effects of density and zinc resulted in a decrease in the intrinsic rate of population increase which suddenly dropped to zero at combinations of zinc and density where development is so strongly retarded that individuals do not mature. This already happened at zinc levels where zinc induced mortality is low and therefore density enhances zinc effects and density dependent compensation is not expected.

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Year:  2008        PMID: 19192801     DOI: 10.1021/es8016599

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  3 in total

1.  Extrapolating toxic effects on individuals to the population level: the role of dynamic energy budgets.

Authors:  Tjalling Jager; Chris Klok
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-11-12       Impact factor: 6.237

2.  Assessment of selenium toxicity on the life cycle of Caenorhabditis elegans.

Authors:  Wen-Hsuan Li; Yun-Ru Ju; Chung-Min Liao; Vivian Hsiu-Chuan Liao
Journal:  Ecotoxicology       Date:  2014-06-07       Impact factor: 2.823

3.  A full lifecycle bioenergetic model for bluefin tuna.

Authors:  Marko Jusup; Tin Klanjscek; Hiroyuki Matsuda; S A L M Kooijman
Journal:  PLoS One       Date:  2011-07-11       Impact factor: 3.240

  3 in total

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