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Predicting chronic lethality of chemicals to fishes from acute toxicity test data: Concepts and linear regression analysis
Author(s) -
Mayer Foster L,
Krause Gary F,
Ellersieck Mark R,
Lee Gunhee,
Buckler Denny R
Publication year - 1994
Publication title -
environmental toxicology and chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.1
H-Index - 171
eISSN - 1552-8618
pISSN - 0730-7268
DOI - 10.1002/etc.5620130418
Subject(s) - lethality , toxicant , chronic toxicity , toxicity , acute toxicity , toxicology , fish <actinopterygii> , biology , medicine , fishery
Abstract A comprehensive approach to predicting chronic lethality from acute toxicity data was developed in which simultaneous consideration is given to concentration, degree of response, and time course of effect A consistent end point (lethality) and degree of response (0%) were used to compare acute and chronic tests Predicted NOECs were highly accurate 84 to 92% of the time (within a factor of 2 0 of the limits of the maximum acceptable toxicant concentrations for lethality) and did not vary by more than a factor of 3 6 97% of the time when the technique was applied to a database of 18 chemicals and seven fish species Growth effects can be predicted from chronic lethality, but reproductive or other chronic effects should not