Quantifying persistent chemical accumulation in fish as a function of bioenergetic demands and growth rates

这项研究是基于一句谚语：“量入为出”。剂量并不是通过测量环境中一种化学物质的平均浓度来准确量化的，而是通过预测“热”暴露的可能性来实现的。对于与鱼等食物相关的化学物质暴露，我们需要知道是什么因素和过程使一些鱼比其他鱼更受污染。污染物浓度在鱼种内部和之间的这种变异性也具有生态重要性，因为这种变异性可以提供对食物网功能和结构的洞察。因此，本研究对生态毒理学和水生生态学都具有重要意义。我们的目标是将毒物动力学模型与食物网模型相结合，以产生非稳态食物网模型，以解释和预测水生食物网中污染物浓度的时间变异性。

This research is based on the adage that 'dose makes the poison'. Dose is not accurately quantified by measuring average concentrations of a chemical in the environment, but by predicting the probability of a 'hot' exposure. For chemical exposures associated with food such as fish, we need to know what factors and processes that make some fish more contaminated than others. This variability of contaminant concentrations within and among fish species is also of ecological importance for this variability can provide insight into food web function and structure. Therefore this research is critical to both ecotoxicology and aquatic ecology. We aim to integrate toxicokinetic modeling with food web models in order to produce non-steady state food web models that explain and predict the temporal variability of contaminant concentrations in aquatic food webs.