John Wiley & Sons, Ltd.

A probabilistic method for species sensitivity distributions taking into account the inherent uncertainty and variability of effects to estimate environmental risk

0
- By: ,

Courtesy of John Wiley & Sons, Ltd.

This paper presents a method of probabilistically computing species sensitivity distributions (SSD) that is well suited to cope with distinct data scarcity and variability. First, a probability distribution that reflects the uncertainty and variability of sensitivity is modeled for each species considered. These single species sensitivity distributions are then combined to create an SSD for a particular ecosystem. A probabilistic estimation of the risk is performed by combining the probability of critical environmental concentrations with the probability of organisms being impacted negatively by these concentrations. In order to evaluate the performance of the method, we developed SSD and risk calculations for the aquatic environment exposed to triclosan. The case studies showed that the probabilistic results reflect the empirical information well, and that the method provides a valuable alternative or supplement to more traditional methods for calculatingSSDs based on averaging raw data and/or on using theoretical distributional forms. A comparison and evaluation with single SSD values (5th‐percentile (HC5)) revealed the robustness of the proposed method. Integr Environ Assess Manag © 2012 SETAC

Customer comments

No comments were found for A probabilistic method for species sensitivity distributions taking into account the inherent uncertainty and variability of effects to estimate environmental risk. Be the first to comment!