ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2010
Extrapolating toxic effects on individuals to the population level: the role of dynamic energy budgets.
Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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Who cites it
10 citing papers in PubMed.
- Integrating earthworm movement and life history through dynamic energy budgets.Conservation physiology · 2022Article
- Time-Cumulative Toxicity of Neonicotinoids: Experimental Evidence and Implications for Environmental Risk Assessments.International journal of environmental research and public health · 2020Review
- Integrated presentation of ecological risk from multiple stressors.Scientific reports · 2016Article
- Reduced life expectancy model for effects of long term exposure on lethal toxicity with fish.ISRN toxicology · 2013Article
- Dynamic energy budget approach to modeling mechanisms of CdSe quantum dot toxicity.Ecotoxicology (London, England) · 2013Article
- Hormesis on life-history traits: is there such thing as a free lunch?Ecotoxicology (London, England) · 2013Article
- Effects of a bioassay-derived ivermectin lowest observed effect concentration on life-cycle traits of the nematode Caenorhabditis elegans.Ecotoxicology (London, England) · 2013Article
- Juvenile food limitation in standardized tests: a warning to ecotoxicologists.Ecotoxicology (London, England) · 2012Article
- Modeling physiological processes that relate toxicant exposure and bacterial population dynamics.PloS one · 2012Article
- Dynamic energy budget theory restores coherence in biology.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2010Review
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The interest of environmental management is in the long-term health of populations and ecosystems. However, toxicity is usually assessed in short-term experiments with individuals. Modelling based on dynamic energy budget (DEB) theory aids the extraction of mechanistic information from the data, which in turn supports educated extrapolation to the population level. To illustrate the use of DEB models in this extrapolation, we analyse a dataset for life cycle toxicity of copper in the earthworm Dendrobaena octaedra. We compare four approaches for the analysis of the toxicity data: no model, a simple DEB model without reserves and maturation (the Kooijman-Metz formulation), a more complex one with static reserves and simplified maturation (as used in the DEBtox software) and a full-scale DEB model (DEB3) with explicit calculation of reserves and maturation. For the population prediction, we compare two simple demographic approaches (discrete time matrix model and continuous time Euler-Lotka equation). In our case, the difference between DEB approaches and population models turned out to be small. However, differences between DEB models increased when extrapolating to more field-relevant conditions. The DEB3 model allows for a completely consistent assessment of toxic effects and therefore greater confidence in extrapolating, but poses greater demands on the available data.
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