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用于化学风险评估的生态食物网分析

Ecological food web analysis for chemical risk assessment.

作者信息

Preziosi Damian V, Pastorok Robert A

机构信息

Integral Consulting Inc., 4D Bay Street, Berlin, Maryland 21811, USA.

出版信息

Sci Total Environ. 2008 Dec 1;406(3):491-502. doi: 10.1016/j.scitotenv.2008.06.063. Epub 2008 Aug 13.

Abstract

Food web analysis can be a critical component of ecological risk assessment, yet it has received relatively little attention among risk assessors. Food web data are currently used in modeling bioaccumulation of toxic chemicals and, to a limited extent, in the determination of the ecological significance of risks. Achieving more realism in ecological risk assessments requires new analysis tools and models that incorporate accurate information on key receptors in a food web paradigm. Application of food web analysis in risk assessments demands consideration of: 1) different kinds of food webs; 2) definition of trophic guilds; 3) variation in food webs with habitat, space, and time; and 4) issues for basic sampling design and collection of dietary data. The different kinds of food webs include connectance webs, materials flow webs, and functional (or interaction) webs. These three kinds of webs play different roles throughout various phases of an ecological risk assessment, but risk assessors have failed to distinguish among web types. When modeling food webs, choices must be made regarding the level of complexity for the web, assignment of species to trophic guilds, selection of representative species for guilds, use of average diets, the characterization of variation among individuals or guild members within a web, and the spatial and temporal scales/dynamics of webs. Integrating exposure and effects data in ecological models for risk assessment of toxic chemicals relies on coupling food web analysis with bioaccumulation models (e.g., Gobas-type models for fish and their food webs), wildlife exposure models, dose-response models, and population dynamics models.

摘要

食物网分析可能是生态风险评估的一个关键组成部分,但在风险评估人员中却相对很少受到关注。目前,食物网数据被用于模拟有毒化学物质的生物累积,并且在有限程度上用于确定风险的生态意义。要在生态风险评估中实现更高的现实性,需要新的分析工具和模型,这些工具和模型要在食物网范式中纳入关于关键受体的准确信息。在风险评估中应用食物网分析需要考虑:1)不同种类的食物网;2)营养类群的定义;3)食物网随栖息地、空间和时间的变化;以及4)基础采样设计和膳食数据收集的问题。不同种类的食物网包括连通性食物网、物质流食物网和功能(或相互作用)食物网。这三种食物网在生态风险评估的各个阶段发挥着不同的作用,但风险评估人员未能区分食物网类型。在对食物网进行建模时,必须就食物网的复杂程度、将物种分配到营养类群、为类群选择代表性物种、使用平均食谱、描述食物网内个体或类群成员之间的变异以及食物网的空间和时间尺度/动态等做出选择。将暴露和效应数据整合到用于有毒化学物质风险评估的生态模型中,依赖于将食物网分析与生物累积模型(例如鱼类及其食物网的戈巴斯型模型)、野生动物暴露模型、剂量反应模型和种群动态模型相结合。

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