Title of article
Ecological food web analysis for chemical risk assessment
Author/Authors
Damian V. Preziosia، نويسنده , , ?، نويسنده , , Robert A. Pastorokb، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2008
Pages
12
From page
491
To page
502
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.
Keywords
Food webEcological risk assessmentEcosystemTrophicBioaccumulationToxic chemical
Journal title
Science of the Total Environment
Serial Year
2008
Journal title
Science of the Total Environment
Record number
984725
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