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开发评估和预测环境污染物对人群水平影响的方法。

Developing methods to assess and predict the population level effects of environmental contaminants.

作者信息

Emlen John M, Springman Kathrine R

机构信息

US Geological Survey, 6505 NE 65th Street, Seattle, Washington 98115, USA.

出版信息

Integr Environ Assess Manag. 2007 Apr;3(2):157-65. doi: 10.1897/ieam_2005-080.1.

Abstract

The field of ecological toxicity seems largely to have drifted away from what its title implies--assessing and predicting the ecological consequences of environmental contaminants--moving instead toward an emphasis on individual effects and physiologic case studies. This paper elucidates how a relatively new ecological methodology, interaction assessment (INTASS), could be useful in addressing the field's initial goals. Specifically, INTASS is a model platform and methodology, applicable across a broad array of taxa and habitat types, that can be used to construct population dynamics models from field data. Information on environmental contaminants and multiple stressors can be incorporated into these models in a form that bypasses the problems inherent in assessing uptake, chemical interactions in the environment, and synergistic effects in the organism. INTASS can, therefore, be used to evaluate the effects of contaminants and other stressors at the population level and to predict how changes in stressor levels or composition of contaminant mixtures, as well as various mitigation measures, might affect population dynamics.

摘要

生态毒性领域似乎在很大程度上偏离了其标题所暗示的内容——评估和预测环境污染物的生态后果,而是转向强调个体效应和生理学案例研究。本文阐明了一种相对较新的生态方法——相互作用评估(INTASS)如何有助于实现该领域的初始目标。具体而言,INTASS是一个模型平台和方法,适用于广泛的生物分类群和栖息地类型,可用于根据实地数据构建种群动态模型。有关环境污染物和多种压力源的信息可以以一种绕过评估吸收、环境中的化学相互作用以及生物体中的协同效应所固有的问题的形式纳入这些模型。因此,INTASS可用于在种群水平上评估污染物和其他压力源的影响,并预测压力源水平或污染物混合物组成的变化以及各种缓解措施可能如何影响种群动态。

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