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Methods for estimating no-effect toxicity concentrations in ecotoxicology.

Rebecca FisherDavid R FoxAndrew P NegriJoost van DamFlorita FloresDarren J Koppel
Published in: Integrated environmental assessment and management (2023)
A range of new statistical approaches is being developed and/or adopted in ecotoxicology, that when combined, have the potential to greatly improve the estimation of no-effect toxicity values from Concentration-Response (CR) experimental data. In particular, we compare the existing No-Effect-Concentration (NEC) threshold-based toxicity metric with an alternative No-Significant-Effect-Concentration (NSEC) metric suitable for when CR data do not show evidence of a threshold effect. Using a model averaging approach, these metrics can be combined to yield estimates of no-effect concentrations, and of their uncertainty within a single analysis framework. The outcome is a framework for CR analysis that is robust to uncertainty in the model formulation, and for which resulting no-effect toxicity estimates can be confidently integrated into risk assessment frameworks, such as the Species Sensitivity Distribution (SSD).
Keyphrases
  • risk assessment
  • oxidative stress
  • machine learning
  • deep learning