Comparing ecological risks of pesticides: the utility of a Risk Quotient ranking approach across refinements of exposure.
Environmental risk assessment of pesticides and other chemicals often uses the Risk Quotient (RQ) method to characterize risk quantitatively. An RQ is calculated by dividing an environmental exposure value by a toxicity end-point value. Tier 1 RQs, which are characterized by highly conservative toxicity and exposure assumptions, are used primarily for screening out negligible risks in regulatory decision making. It has been argued that the tier 1 RQ approach is valuable for making direct comparisons of quantitative risk between pesticides. However, an outstanding question is whether relative risks among pesticides would change if refinements of exposure are incorporated into the RQ calculations. This study tested that hypothesis. Aquatic ecological risk assessments were conducted for 12 herbicide and 12 insecticide active ingredients used on agricultural crops in the USA. The pesticides were chosen because surface-water monitoring data for them were available as part of the United States Geological Survey's National Water-Quality Assessment Program (NAWQA). Ecological receptors and effects evaluated were aquatic non-vascular plants (acute risk), aquatic vertebrates (acute risk) and aquatic invertebrates (acute risk) for the herbicides and aquatic vertebrates (acute and chronic risk) and aquatic invertebrates (acute and chronic risk) for the insecticides. The data indicate that there were significant statistical correlations between numerical rankings of tier 1 RQs and RQs using refined environmental exposures. The results support the hypothesis that numerical ranking of RQs for the purpose of comparing potential ecological risks is a valid approach because the rankings are significantly correlated regardless of the degree of exposure refinement.
Peterson
Robert Kd
RK
Agricultural and Biological Risk Assessment, Montana State University, Bozeman, MT 59717-3020, USA. bpeterson@montana.edu
D000818:Animals; D000460:Chlorophyta; D003621:Daphnia; D004781:Environmental Exposure; D005843:Geography; D006540:Herbicides / Q000633:toxicity; D007306:Insecticides / Q000633:toxicity; D009010:Monte Carlo Method; D017686:Oncorhynchus mykiss; D010473:Perciformes; D010575:Pesticides / Q000633:toxicity*; D018570:Risk Assessment / Q000379:methods*; D018709:Statistics, Nonparametric
D006540:Herbicides; D007306:Insecticides; D010575:Pesticides