Literature DB >> 19533342

Standardizing acute toxicity data for use in ecotoxicology models: influence of test type, life stage, and concentration reporting.

Sandy Raimondo1, Deborah N Vivian, Mace G Barron.   

Abstract

Ecotoxicological models generally have large data requirements and are frequently based on existing information from diverse sources. Standardizing data for toxicological models may be necessary to reduce extraneous variation and to ensure models reflect intrinsic relationships. However, the extent to which data standardization is necessary remains unclear, particularly when data transformations are used in model development. An extensive acute toxicity database was compiled for aquatic species to comprehensively assess the variation associated with acute toxicity test type (e.g., flow-through, static), reporting concentrations as nominal or measured, and organism life stage. Three approaches were used to assess the influence of these factors on log-transformed acute toxicity: toxicity ratios, log-linear models of factor groups, and comparison of interspecies correlation estimation (ICE) models developed using either standardized test types or reported concentration type. In general, median ratios were generally less than 2.0, the slopes of log-linear models were approximately one for well-represented comparisons, and ICE models developed using data from standardized test types or reported concentrations did not differ substantially. These results indicate that standardizing test data by acute test type, reported concentration type, or life stage may not be critical for developing ecotoxicological models using large datasets of log-transformed values.

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Year:  2009        PMID: 19533342     DOI: 10.1007/s10646-009-0353-y

Source DB:  PubMed          Journal:  Ecotoxicology        ISSN: 0963-9292            Impact factor:   2.823


  14 in total

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2.  Acute toxicity value extrapolation with fish and aquatic invertebrates.

Authors:  Denny R Buckler; Foster L Mayer; Mark R Ellersieck; Amha Asfaw
Journal:  Arch Environ Contam Toxicol       Date:  2005-09-30       Impact factor: 2.804

3.  Accuracy of chronic aquatic toxicity estimates determined from acute toxicity data and two time-response models.

Authors:  Mace G Barron; Sandy Raimondo; Christine Russom; Deborah N Vivian; Susan H Yee
Journal:  Environ Toxicol Chem       Date:  2008-10       Impact factor: 3.742

4.  Development of species sensitivity distributions and estimation of HC(5) of organochlorine pesticides with five statistical approaches.

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5.  Interspecies correlation estimates predict protective environmental concentrations.

Authors:  Scott D Dyer; Donald J Versteeg; Scott E Belanger; Joel G Chaney; Foster L Mayer
Journal:  Environ Sci Technol       Date:  2006-05-01       Impact factor: 9.028

6.  Age- and sex-related variation in sensitivity to the pyrethroid cypermethrin in the marine copepod Acartia tonsa Dana.

Authors:  M Medina; C Barata; T Telfer; D J Baird
Journal:  Arch Environ Contam Toxicol       Date:  2002-01       Impact factor: 2.804

7.  Acute toxicity of firefighting chemical formulations to four life stages of fathead minnow.

Authors:  M P Gaikowski; S J Hamilton; K J Buhl; S F McDonald; C H Summers
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8.  Aquatic toxicity of cartap and cypermethrin to different life stages of Daphnia magna and Oryzias latipes.

Authors:  Younghee Kim; Jinyong Jung; Sorin Oh; Kyungho Choi
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9.  Protectiveness of species sensitivity distribution hazard concentrations for acute toxicity used in endangered species risk assessment.

Authors:  Sandy Raimondo; Deborah N Vivian; Charles Delos; Mace G Barron
Journal:  Environ Toxicol Chem       Date:  2008-12       Impact factor: 3.742

10.  Comparison of species sensitivity distributions derived from interspecies correlation models to distributions used to derive water quality criteria.

Authors:  Scott D Dyer; Donald J Versteeg; Scott E Belanger; Joel G Chaney; Sandy Raimondo; Mace G Barron
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  4 in total

1.  SSD-based rating system for the classification of pesticide risk on biodiversity.

Authors:  Serenella Sala; Sonia Migliorati; Gianna S Monti; Marco Vighi
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2.  Application of Interspecies Correlation Estimation (ICE) models and QSAR in estimating species sensitivity to pesticides.

Authors:  S Raimondo; M G Barron
Journal:  SAR QSAR Environ Res       Date:  2019-11-14       Impact factor: 3.000

3.  Comparison of predicted aquatic risks of pesticides used under different rice-farming strategies in the Mekong Delta, Vietnam.

Authors:  Nadja Stadlinger; Håkan Berg; Paul J Van den Brink; Nguyen T Tam; Jonas S Gunnarsson
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Review 4.  Ecological Thresholds of Toxicological Concern: A Review.

Authors:  Mace G Barron; Ryan R Otter; Kristin A Connors; Aude Kienzler; Michelle R Embry
Journal:  Front Toxicol       Date:  2021-03-05
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