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Bioenergetics modelling to analyse and predict the joint effects of multiple stressors: Meta-analysis and model corroboration

Abstract : • Joint effects of natural and chemical stressors impact many ecological applications. • Prospective ecological risk assessment requires an understanding of these effects. • We lack full understanding of how organisms react to a combination of stressors. • We used a Dynamic Energy Budget model to predict the effect of multiple stressors. • We successfully showed the plausibility of our approach and validated our model. Understanding the consequences of the combined effects of multiple stressors-including stress from man-made chemicals-is important for conservation management, the ecological risk assessment of chemicals, and many other ecological applications. Our current ability to predict and analyse the joint effects of multiple stressors is insufficient to make the prospective risk assessment of chemicals more ecologically relevant because we lack a full understanding of how organisms respond to stress factors alone and in combination. Here, we describe a Dynamic Energy Budget (DEB) based bioenergetics model that predicts the potential effects of single or multiple natural and chemical stressors on life history traits. We demonstrate the plausibility of the model using a meta-analysis of 128 existing studies on freshwater invertebrates. We then validate our model by comparing its predictions for a combination of three stressors (i.e. chemical, temperature, and food availability) with new, independent experimental data on life history traits in the daphnid Ceriodaphnia dubia. We found that the model predictions are in agreement with observed growth curves and reproductive traits. To the best of our knowledge, this is the first time that the combined effects of three stress factors on life history traits observed in laboratory studies have been predicted successfully in invertebrates. We suggest that a re-analysis of existing studies on multiple stressors within the modelling framework outlined here will provide a robust null model for identifying stressor interactions, and expect that a better understanding of the underlying mechanisms will arise from these new analyses. Bioenergetics modelling could be applied more broadly to support environmental management decision making.
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Contributor : Benoit Goussen <>
Submitted on : Friday, September 4, 2020 - 3:26:35 PM
Last modification on : Wednesday, September 9, 2020 - 3:09:58 AM

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Benoit Goussen, Cecilie Rendal, David Sheffield, Emma Butler, Oliver Price, et al.. Bioenergetics modelling to analyse and predict the joint effects of multiple stressors: Meta-analysis and model corroboration. Science of the Total Environment, Elsevier, 2020, 749, pp.141509. ⟨10.1016/j.scitotenv.2020.141509⟩. ⟨hal-02930798⟩

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