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Title: Literature-derived bioaccumulation models for earthworms: Development and validation

Abstract

Estimation of contaminant concentrations in earthworms is a critical component in many ecological risk assessments. Without site-specific data, literature-derived uptake factors or models are frequently used. Although considerable research has been conducted on contaminant transfer from soil to earthworms, most studies focus on only a single location. External validation of transfer models has not been performed. The authors developed a database of soil and tissue concentrations for nine inorganic and two organic chemicals. Only studies that presented total concentrations in departed earthworms were included. Uptake factors and simple and multiple regression models of natural-log-transformed concentrations of each analyte in soil and earthworms were developed using data from 26 studies. These models were then applied to data from six additional studies. Estimated and observed earthworm concentrations were compared using nonparametric Wilcoxon signed-rank tests. Relative accuracy and quality of different estimation methods were evaluated by calculating the proportional deviation of the estimate from the measured value. With the exception of Cr, significant, single-variable (e.g., soil concentration) regression models were fit for each analyte. Inclusion of soil Ca improved model fits for Cd and Pb. Soil pH only marginally improved model fits. The best general estimates of chemical concentrations in earthworms were generatedmore » by simple ln-ln regression models for As, Cd, Cu, Hg, Mn, Pb, Zn, and polychlorinated biphenyls. No method accurately estimated Cr or Ni in earthworms. Although multiple regression models including pH generated better estimates for a few analytes, in general, the predictive utility gained by incorporating environmental variables was marginal.« less

Authors:
; ; ;
Publication Date:
Research Org.:
Oak Ridge National Lab., TN (US)
OSTI Identifier:
20006639
Resource Type:
Journal Article
Journal Name:
Environmental Toxicology and Chemistry
Additional Journal Information:
Journal Volume: 18; Journal Issue: 9; Other Information: PBD: Sep 1999; Journal ID: ISSN 0730-7268
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; 56 BIOLOGY AND MEDICINE, APPLIED STUDIES; LAND POLLUTION; SOILS; BIOLOGICAL ACCUMULATION; MATHEMATICAL MODELS; ANNELIDS; VALIDATION; BIOLOGICAL INDICATORS; CADMIUM; LEAD; ARSENIC; COPPER; MERCURY; MANGANESE; ZINC

Citation Formats

Sample, B.E., Suter, G.W. II, Beauchamp, J.J., and Efroymson, R.A. Literature-derived bioaccumulation models for earthworms: Development and validation. United States: N. p., 1999. Web. doi:10.1897/1551-5028(1999)018<2110:LDBMFE>2.3.CO;2.
Sample, B.E., Suter, G.W. II, Beauchamp, J.J., & Efroymson, R.A. Literature-derived bioaccumulation models for earthworms: Development and validation. United States. doi:10.1897/1551-5028(1999)018<2110:LDBMFE>2.3.CO;2.
Sample, B.E., Suter, G.W. II, Beauchamp, J.J., and Efroymson, R.A. Wed . "Literature-derived bioaccumulation models for earthworms: Development and validation". United States. doi:10.1897/1551-5028(1999)018<2110:LDBMFE>2.3.CO;2.
@article{osti_20006639,
title = {Literature-derived bioaccumulation models for earthworms: Development and validation},
author = {Sample, B.E. and Suter, G.W. II and Beauchamp, J.J. and Efroymson, R.A.},
abstractNote = {Estimation of contaminant concentrations in earthworms is a critical component in many ecological risk assessments. Without site-specific data, literature-derived uptake factors or models are frequently used. Although considerable research has been conducted on contaminant transfer from soil to earthworms, most studies focus on only a single location. External validation of transfer models has not been performed. The authors developed a database of soil and tissue concentrations for nine inorganic and two organic chemicals. Only studies that presented total concentrations in departed earthworms were included. Uptake factors and simple and multiple regression models of natural-log-transformed concentrations of each analyte in soil and earthworms were developed using data from 26 studies. These models were then applied to data from six additional studies. Estimated and observed earthworm concentrations were compared using nonparametric Wilcoxon signed-rank tests. Relative accuracy and quality of different estimation methods were evaluated by calculating the proportional deviation of the estimate from the measured value. With the exception of Cr, significant, single-variable (e.g., soil concentration) regression models were fit for each analyte. Inclusion of soil Ca improved model fits for Cd and Pb. Soil pH only marginally improved model fits. The best general estimates of chemical concentrations in earthworms were generated by simple ln-ln regression models for As, Cd, Cu, Hg, Mn, Pb, Zn, and polychlorinated biphenyls. No method accurately estimated Cr or Ni in earthworms. Although multiple regression models including pH generated better estimates for a few analytes, in general, the predictive utility gained by incorporating environmental variables was marginal.},
doi = {10.1897/1551-5028(1999)018<2110:LDBMFE>2.3.CO;2},
journal = {Environmental Toxicology and Chemistry},
issn = {0730-7268},
number = 9,
volume = 18,
place = {United States},
year = {1999},
month = {9}
}