AustralieFrV1, Istex, Corpus, bibRecord, 001046

Time‐dependent species sensitivity distributions

Identifieur interne : 001046 ( Istex/Corpus ); précédent : 001045; suivant : 001047

Time‐dependent species sensitivity distributions

Auteurs : David R. Fox ; Elise Billoir

Source :

Environmental Toxicology and Chemistry [ 0730-7268 ] ; 2013-02.

RBID : ISTEX:579BA6C1C97AA2726DE9D6A8D764CDCB41BCE7CF

English descriptors

KwdEn :
- Acute ones, Acute toxicity data, Aquatic species, Assessment number, Asymptotic value, Boca raton, Chem, Chronic lethality, Distribution theory, Ecol risk, Economic cooperation, Ecotoxicol environ, Ecotoxicology, Empirical evidence, Environ, Environ toxicol chem, Environmental protection agency, Environmental toxicology, Hazardous concentration, Hazardous concentrations, Important development, Input toxicity measures, Interspecies variability, Kooijman salm, Modeling, Oecd environment health, Parameter values, Present study, Probability models, Risk assessment, Safety publications, Similar results, Species sensitivity distribution, Species sensitivity distributions, Ssds, Statistical analysis, Temporal behavior, Temporal component, Temporal dimension, Time course, Time dependence, Time dependency, Time models, Toxicity, Toxicity assessments, Toxicity measure, Toxicity measures, Toxicity values, Toxicol, Useful insights.
Teeft :
- Acute ones, Acute toxicity data, Aquatic species, Assessment number, Asymptotic value, Boca raton, Chem, Chronic lethality, Distribution theory, Ecol risk, Economic cooperation, Ecotoxicol environ, Ecotoxicology, Empirical evidence, Environ, Environ toxicol chem, Environmental protection agency, Environmental toxicology, Hazardous concentration, Hazardous concentrations, Important development, Input toxicity measures, Interspecies variability, Kooijman salm, Modeling, Oecd environment health, Parameter values, Present study, Probability models, Risk assessment, Safety publications, Similar results, Species sensitivity distribution, Species sensitivity distributions, Ssds, Statistical analysis, Temporal behavior, Temporal component, Temporal dimension, Time course, Time dependence, Time dependency, Time models, Toxicity, Toxicity assessments, Toxicity measure, Toxicity measures, Toxicity values, Toxicol, Useful insights.

Abstract

Time is a central component of toxicity assessments. However, current ecotoxicological practice marginalizes time in concentration–response (C‐R) modeling and species sensitivity distribution (SSD) analyses. For C‐R models, time is invariably fixed, and toxicity measures are estimated from a function fitted to the data at that time. The estimated toxicity measures are used as inputs to the SSD modeling phase, which similarly avoids explicit recognition of the temporal component. The present study extends some commonly employed probability models for SSDs to derive theoretical results that characterize the time‐dependent nature of hazardous concentration (HCx) values. The authors' results show that even from very simple assumptions, more complex patterns in the SSD time dependency can be revealed. Environ. Toxicol. Chem. 2013;32:378–383. © 2012 SETAC

Url:

https://api.istex.fr/document/579BA6C1C97AA2726DE9D6A8D764CDCB41BCE7CF/fulltext/pdf

DOI: 10.1002/etc.2063

Links to Exploration step

ISTEX:579BA6C1C97AA2726DE9D6A8D764CDCB41BCE7CF

Le document en format XML

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<p>Time is a central component of toxicity assessments. However, current ecotoxicological practice marginalizes time in concentration–response (C‐R) modeling and species sensitivity distribution (SSD) analyses. For C‐R models, time is invariably fixed, and toxicity measures are estimated from a function fitted to the data at that time. The estimated toxicity measures are used as inputs to the SSD modeling phase, which similarly avoids explicit recognition of the temporal component. The present study extends some commonly employed probability models for SSDs to derive theoretical results that characterize the time‐dependent nature of hazardous concentration (HCx) values. The authors' results show that even from very simple assumptions, more complex patterns in the SSD time dependency can be revealed. Environ. Toxicol. Chem. 2013;32:378–383. © 2012 SETAC</p>
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Time‐dependent species sensitivity distributions

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