Factors affecting risk assessment of small mammals to pesticides

Citation
Wd. Edge et Em. Schauber, Factors affecting risk assessment of small mammals to pesticides, ENV TOX CH, 19(11), 2000, pp. 2735-2741
Citations number
28
Categorie Soggetti
Environment/Ecology
Journal title
ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY
ISSN journal
07307268 → ACNP
Volume
19
Issue
11
Year of publication
2000
Pages
2735 - 2741
Database
ISI
SICI code
0730-7268(200011)19:11<2735:FARAOS>2.0.ZU;2-R
Abstract
The quotient method (QM), a laboratory-based risk assessment methodology us ed by the U.S. Environmental Protection Agency to evaluate pesticides for r egistration and use, has not been thoroughly field-tested and its performan ce has not always been reliable. Our objective was to compare predictions o f risk using the QM with results from small mammal field studies to identif y factors that cause variation in the performance of the QM. We regressed e stimated mortality of herbivorous gray-tailed voles (Microtus canicaudus) a nd omnivorous deer mice (Peromyscus maniculatus) against predictions of mor tality based on LC50 probit analyses for pesticide concentrations in spray- tank mixtures and residues on the top and bottom 15 cm of alfalfa plants. P redictions of risk generally were correlated with estimated-mortality in th e field, but slopes often differed significantly from the predicted 1:1 rel ationship and were much greater than 1.0 for several relationships during t he 1993 experiment. Risk predictions may be influenced by a number of facto rs, including estimation of estimated environmental concentration (EEC), ve getation structure, weather patterns, species of concern, and demographic c haracteristics of the exposed populations. More accurate risk assessments m ay be accomplished by improving vegetation nomogram estimates of EEC and by incorporating vegetation structure and differences in natural history amon g species into QM predictions. Weather following application and the demogr aphic characteristics of the exposed populations are likely to remain unkno wn and will cause imprecision in risk assessments.