title: Selection bias correction for species sensitivity distribution modeling and hazardous concentration estimation.
abstract: The species sensitivity distribution (SSD) has been an important development in ecotoxicology, and despite numerous concerns having been raised over many years, it remains the preferred (and often mandated) technique for establishing "safe" concentrations of contaminants in receiving water bodies by jurisdictions around the world. Although universally recognized as a crucial prerequisite for the statistical validity of the procedure, the assumption of random selection of species for SSD modeling is invariably violated. It is shown in the present study that, under very minimal assumptions, nonrandom species selection can result in hazardous concentration estimation errors of a factor of 20 or more. Importantly, if the toxicity data are biased toward the more sensitive species, then the conventional practice of using the lower confidence interval limit for the estimated hazardous concentration may be compensating in the wrong direction.
authors.affiliation: Environmetrics Australia, Beaumaris, Victoria, Australia.|University of Melbourne, Parkville, Victoria, Australia.
authors.forename: David R
authors.initials: DR
authors.lastname: Fox
mesh_terms: D054750:Ecotoxicology; D015386:Hazardous Substances / Q000737:chemistry*; D008962:Models, Theoretical; D015983:Selection Bias
chemical_list: D015386:Hazardous Substances
keywords: Hazardous concentration; Nonrandom selection; Species sensitivity distribution