Unknown

Dataset Information

A probabilistic approach to chronic effects assessments for listed species in a vernal pool case study.


ABSTRACT: Ecological risk assessments for potential pesticide impacts on species listed as threatened or endangered must ensure that decisions to grant registration or establish water quality standards will not jeopardize species or their critical habitats. Pesticides are designed to affect pest species via physiological pathways that may be shared by some nontarget species for which toxicity data are usually unavailable, creating a need for robust methods to estimate acute and chronic toxicity with minimal data. We used a unique probabilistic approach to estimate the risk of chronic effects of two organophosphate (OP) pesticides on the vernal pool fairy shrimp Branchinecta lynchi. Acute toxicity estimates were derived from Monte Carlo (MC) sampling of acute toxicity distributions developed from int

SUBMITTER: Oliver L 

PROVIDER: S-EPMC12188986 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature