Beaudouin Rémy, Goussen Benoit, Piccini Benjamin, Augustine Starrlight, Devillers James, Brion François, Péry Alexandre R R
Unité Modèles pour l'Ecotoxicologie et la Toxicologie (METO), Institut National de l'Environnement Industriel et des Risques (INERIS), Verneuil en Halatte, France.
Unité Ecotoxicologie in vitro et in vivo (ECOT), Institut National de l'Environnement Industriel et des Risques (INERIS), Verneuil en Halatte, France.
PLoS One. 2015 May 4;10(5):e0125841. doi: 10.1371/journal.pone.0125841. eCollection 2015.
Developing population dynamics models for zebrafish is crucial in order to extrapolate from toxicity data measured at the organism level to biological levels relevant to support and enhance ecological risk assessment. To achieve this, a dynamic energy budget for individual zebrafish (DEB model) was coupled to an individual based model of zebrafish population dynamics (IBM model). Next, we fitted the DEB model to new experimental data on zebrafish growth and reproduction thus improving existing models. We further analysed the DEB-model and DEB-IBM using a sensitivity analysis. Finally, the predictions of the DEB-IBM were compared to existing observations on natural zebrafish populations and the predicted population dynamics are realistic. While our zebrafish DEB-IBM model can still be improved by acquiring new experimental data on the most uncertain processes (e.g. survival or feeding), it can already serve to predict the impact of compounds at the population level.
为了从在生物个体水平测得的毒性数据推断到与支持和加强生态风险评估相关的生物水平,开发斑马鱼种群动态模型至关重要。为实现这一目标,将单个斑马鱼的动态能量收支模型(DEB模型)与基于个体的斑马鱼种群动态模型(IBM模型)相结合。接下来,我们将DEB模型与关于斑马鱼生长和繁殖的新实验数据进行拟合,从而改进现有模型。我们还使用敏感性分析进一步分析了DEB模型和DEB-IBM模型。最后,将DEB-IBM模型的预测结果与自然斑马鱼种群的现有观测结果进行比较,结果表明预测的种群动态是现实的。虽然我们的斑马鱼DEB-IBM模型仍可通过获取关于最不确定过程(如生存或摄食)的新实验数据来改进,但它已经可以用于预测化合物在种群水平上的影响。