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

量化鱼类体内持续化学积累作为生物能需求和生长率的函数

• 批准号: 19024-2007
• 负责人: Haffner, Douglas
• 金额: $ 1.89万
• 依托单位: University of Windsor
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2007
• 资助国家: 加拿大
• 起止时间: 2007-01-01 至 2008-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=366135
• 关键词: Quantifying; persistent; chemical; accumulation; fish

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.The goal of this proposal will be achieved through a series of projects that will calibrate and verify the use of this new modeling approach.

这项研究是基于“剂量产生毒性”的格言。剂量不是通过测量环境中化学品的平均浓度来准确量化的，而是通过预测“热”暴露的可能性来量化的。对于与鱼类等食物相关的化学品暴露，我们需要知道是什么因素和过程使某些鱼类比其他鱼类受到更严重的污染。本研究旨在将毒物动力学模型与食物网模型相结合，建立一个非线性的、稳态食物网模型，用于解释和预测水生食物网中污染物浓度的时间变化。将通过一系列项目来实现，这些项目将校准和验证这种新的建模方法的使用。