DISTRIBUTIONS OF KEY EXPOSURE FACTORS CONTROLLING THE UPTAKE OF XENOBIOTIC CHEMICALS IN AN ESTUARINE FOOD-WEB

Citation
Tj. Iannuzzi et al., DISTRIBUTIONS OF KEY EXPOSURE FACTORS CONTROLLING THE UPTAKE OF XENOBIOTIC CHEMICALS IN AN ESTUARINE FOOD-WEB, Environmental toxicology and chemistry, 15(11), 1996, pp. 1979-1992
Citations number
82
Categorie Soggetti
Toxicology,"Environmental Sciences",Chemistry
ISSN journal
07307268
Volume
15
Issue
11
Year of publication
1996
Pages
1979 - 1992
Database
ISI
SICI code
0730-7268(1996)15:11<1979:DOKEFC>2.0.ZU;2-G
Abstract
A critical evaluation of literature on the behavior physiology, and ec ology of common estuarine or organisms was conducted in an attempt to develop probabilistic distributions for those variables that influence the uptake of xenobiotic chemicals from sediments, water, and food so urces. The ranges, central tendencies, and distributions of several ke y parameter values were identified for dominant organisms from various trophic levels, including the polychaete Nereis virens, mummichog (Fu ndulus heteroclitus), blue crab (Callinectes sapidus), and striped bas s (Morone saxatilis). The exposure factors of interest included ingest ion rate for various food sources, growth rate, respiration rate, excr etion rare, body weight, wet/dry weight ratio, lipid content, chemical assimilation efficiency, and food assimilation efficiency. These expo sure factors are critical to the execution of mechanistic food web mod els, which, when properly calibrated, can be used to estimate tissue c oncentrations of nonionic chemicals in aquatic organisms based on know ledge of the bioenergetics and feeding interactions within a food web and the sediment and water concentrations of chemicals. In this articl e we describe the use of distributions for various exposure factors in the context of a mechanistic bioaccumulation model that is amenable t o probabilistic analyses for multiple organisms within a food web. A c ase study is provided which compares the estimated versus measured con centrations of five polychlorinated biphenyl (PCB) congeners in a repr esentative food web from the tidal portion of the Passaic River, New J ersey, USA. The results suggest that the model is accurate within an o rder of magnitude or less in estimating the bioaccumulation of PCBs in this food web without calibration. The results of a model sensitivity analysis suggest that the input parameters which most influence the o utput of the model are both chemical and organism specific.