Literature DB >> 19633955

Sublethal toxicant effects with dynamic energy budget theory: model formulation.

Erik B Muller1, Roger M Nisbet, Heather A Berkley.   

Abstract

We develop and test a general modeling framework to describe the sublethal effects of pollutants by adding toxicity modules to an established dynamic energy budget (DEB) model. The DEB model describes the rates of energy acquisition and expenditure by individual organisms; the toxicity modules describe how toxicants affect these rates by changing the value of one or more DEB parameters, notably the parameters quantifying the rates of feeding and maintenance. We investigate four toxicity modules that assume: (1) effects on feeding only; (2) effects on maintenance only; (3) effects on feeding and maintenance with similar values for the toxicity parameters; and (4) effects on feeding and maintenance with different values for the toxicity parameters. We test the toxicity modules by fitting each to published data on feeding, respiration, growth and reproduction. Among the pollutants tested are metals (mercury and copper) and various organic compounds (chlorophenols, toluene, polycyclic aromatic hydrocarbons, tetradifon and pyridine); organisms include mussels, oysters, earthworms, water fleas and zebrafish. In most cases, the data sets could be adequately described with any of the toxicity modules, and no single module gave superior fits to all data sets. We therefore propose that for many applications, it is reasonable to use the most general and parameter sparse module, i.e. module 3 that assumes similar effects on feeding and maintenance, as a default. For one example (water fleas), we use parameter estimates to calculate the impact of food availability and toxicant levels on the long term population growth rate.

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Year:  2009        PMID: 19633955      PMCID: PMC2797403          DOI: 10.1007/s10646-009-0385-3

Source DB:  PubMed          Journal:  Ecotoxicology        ISSN: 0963-9292            Impact factor:   2.823


  16 in total

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3.  Simultaneous modeling of multiple end points in life-cycle toxicity tests.

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Journal:  SAR QSAR Environ Res       Date:  2007 May-Jun       Impact factor: 3.000

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Journal:  Aquat Toxicol       Date:  2007-05-10       Impact factor: 4.964

7.  Statistical cautions when estimating DEBtox parameters.

Authors:  Elise Billoir; Marie Laure Delignette-Muller; Alexandre R R Péry; Olivier Geffard; Sandrine Charles
Journal:  J Theor Biol       Date:  2008-05-15       Impact factor: 2.691

8.  Population level consequences of toxicological influences on individual growth and reproduction in Lumbricus rubellus (Lumbricidae, Oligochaeta).

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9.  Effects of tetradifon on Daphnia magna during chronic exposure and alterations in the toxicity to generations pre-exposed to the pesticide.

Authors: 
Journal:  Aquat Toxicol       Date:  2000-05-01       Impact factor: 4.964

10.  The dynamics of the macromolecular composition of biomass.

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3.  Extrapolating ecotoxicological effects from individuals to populations: a generic approach based on Dynamic Energy Budget theory and individual-based modeling.

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5.  Sublethal toxicant effects with dynamic energy budget theory: application to mussel outplants.

Authors:  Erik B Muller; Craig W Osenberg; Russell J Schmitt; Sally J Holbrook; Roger M Nisbet
Journal:  Ecotoxicology       Date:  2009-07-24       Impact factor: 2.823

6.  Extending standard testing period in honeybees to predict lifespan impacts of pesticides and heavy metals using dynamic energy budget modelling.

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Review 7.  The pros and cons of ecological risk assessment based on data from different levels of biological organization.

Authors:  Jason R Rohr; Christopher J Salice; Roger M Nisbet
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  7 in total

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