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Recent Developments in Species Sensitivity Distribution Modeling.
Fox, D R; van Dam, R A; Fisher, R; Batley, G E; Tillmanns, A R; Thorley, J; Schwarz, C J; Spry, D J; McTavish, K.
Afiliação
  • Fox DR; Environmetrics Australia, Beaumaris, Victoria, Australia.
  • van Dam RA; University of Melbourne, Parkville, Victoria, Australia.
  • Fisher R; WQadvice, Adelaide, South Australia, Australia.
  • Batley GE; Australian Institute of Marine Science and the University of Western Australia Oceans Institute and School of Plant Biology, Crawley, Western Australia, Australia.
  • Tillmanns AR; CSIRO Land and Water, Lucas Heights, New South Wales, Australia.
  • Thorley J; British Columbia Ministry of Environment and Climate Change Strategy, Victoria, British Columbia, Canada.
  • Schwarz CJ; Poisson Consulting, Nelson, British Columbia, Canada.
  • Spry DJ; StatMathComp Consulting, Vancouver, British Columbia, Canada.
  • McTavish K; Environment and Climate Change Canada, Gatineau, Quebec, Canada.
Environ Toxicol Chem ; 40(2): 293-308, 2021 02.
Article em En | MEDLINE | ID: mdl-33170526
The species sensitivity distribution (SSD) is a statistical approach that is used to estimate either the concentration of a chemical that is hazardous to no more than x% of all species (the HCx) or the proportion of species potentially affected by a given concentration of a chemical. Despite a significant body of published research and critical reviews over the past 20 yr aimed at improving the methodology, the fundamentals remain unchanged. Although there have been some recent suggestions for improvements to SSD methods in the literature, in general, few of these suggestions have been formally adopted. Furthermore, critics of the approach can rightly point to the fact that differences in technical implementation can lead to marked differences in results, thereby undermining confidence in SSD approaches. Despite the limitations, SSDs remain a practical tool and, until a demonstrably better inferential framework is available, developments and enhancements to conventional SSD practice will and should continue. We therefore believe the time has come for the scientific community to decide how it wants SSD methods to evolve. The present study summarizes the current status of, and elaborates on several recent developments for, SSD methods, specifically, model averaging, multimodality, and software development. We also consider future directions with respect to the use of SSDs, with the ultimate aim of helping to facilitate greater international collaboration and, potentially, greater harmonization of SSD methods. Environ Toxicol Chem 2021;40:293-308. © 2020 SETAC.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Químicos da Água Tipo de estudo: Diagnostic_studies / Etiology_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Químicos da Água Tipo de estudo: Diagnostic_studies / Etiology_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article