Making species salinity sensitivity distributions reflective of naturally occurring communities: Using rapid testing and Bayesian statistics

Environmental Toxicology and Chemistry

Volumn 27, Issue 11, 2008, Pages 2403-2411

  Hickey, Graeme L ^a   Kefford, Ben J ^b   Dunlop, Jason E ^c,d   Craig, Peter S ^a  

^a DURHAM UNIVERSITY   (United Kingdom)

^b RMIT UNIVERSITY   (Australia)

^c Department of Natural Resources and Water ^*  (Australia)

^d UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

Bayesian; Rapid testing; Risk assessment; Salinity; Species sensitivity distribution

Indexed keywords

BAYESIAN NETWORKS; IMAGE SEGMENTATION; NORMAL DISTRIBUTION; RISK ASSESSMENT; RISK MANAGEMENT; SALINITY MEASUREMENT; STATISTICAL METHODS; STATISTICS; TESTING; TOXICITY;

AUSTRALIA; BAYESIAN; BAYESIAN ANALYSIS; BAYESIAN METHODS; BAYESIAN PERSPECTIVES; BAYESIAN STATISTICAL METHODS; BAYESIAN STATISTICS; CONVENTIONAL TESTS; CREDIBLE INTERVALS; ECOTOXICOLOGICAL; ENVIRONMENTAL CONTAMINANTS; EXPERT JUDGEMENTS; EXPERT OPINIONS; FREQUENTIST; LARGE DATA SETS; LARGE SAMPLES; MACRO INVERTEBRATES; NEW MODELS; RAPID TESTING; SALINITY; SPECIES SENSITIVITY DISTRIBUTION; TAXONOMIC GROUPS; TEST DATUMS; TOXICITY TESTS; WEIGHTING FACTORS;

STATISTICAL TESTS;

BAYESIAN ANALYSIS; COMPARATIVE STUDY; DATA SET; ECOLOGICAL MODELING; ECOTOXICOLOGY; MACROINVERTEBRATE; RISK ASSESSMENT; SALINITY; SENSITIVITY ANALYSIS; TOXICITY TEST;

ARTICLE; AUSTRALIA; BAYES THEOREM; KAPLAN MEIER METHOD; MACROINVERTEBRATE; METHODOLOGY; PRIORITY JOURNAL; SALINITY; SPECIES DIFFERENCE; TAXONOMY; TOXICITY TESTING;

ACUTE TOXICITY TESTS; ANIMALS; BAYES THEOREM; ECOLOGY; ENVIRONMENTAL POLLUTANTS; SODIUM CHLORIDE; SPECIES SPECIFICITY;

EID: 56049095038     PISSN: 07307268     EISSN: None     Source Type: Journal    
DOI: 10.1897/08-079.1     Document Type: Article

References (29)

1. Posthuma L, Suter GW Jr, Traas TP. 2002. Species Sensitivity Distributions in Ecotoxicology, 1st ed. Lewis, Boca Raton, FL, USA.
2. Forbes VE, Calow P. 2002. Species sensitivity distributions revisited: A critical appraisal. Human and Ecological Risk Assessment 8:473-492.
3. Kefford BJ, Palmer CG, Jooste S, Warne M, Nugegoda D. 2005. What is it meant by '95% of species'? An argument for the inclusion of rapid tolerance testing. Human and Ecological Risk Assessment 11:1025-1046.
4. Sunderam RM, Patra RW, Julli M, Warne M. 2004. Use of the up-and-down acute toxicity test procedure to generate LC50 data for fish. Bull Environ Toxicol 72:873-880.
5. Kefford BJ, Papas PJ, Nugegoda D. 2003. Relative salinity tolerance of macroinvertebrates from the Barwon River, Victoria, Australia. Mar Freshw Res 54:755-765.
6. Grist EPM, O'Hagan A, Crane M, Sorokin N, Sims I, Whitehouse P. 2006. Bayesian and time-independent species sensitivity distributions for risk assessment of chemicals. Environ Sci Technol 40:395-401.
7. Burmaster DE, Wilson AM. 1996. An introduction to second-order random variables in human health risk assessments. Human and Ecological Risk Assessment 2:892-919.
8. Dyer SD, Versteeg DJ, Belanger SE, Chaney JG, Rainmondo S, Barron MG. 2008. Comparison of species sensitivity distribution derived from interspecies correlation models to distributions used to derive water-quality criteria. Environ Sci Technol 42:3076-3083.
9. Morton R, Warne M St J, Correll RL. 2008. Simultaneous prediction of toxicity of multiple chemicals to multiple species using multidimensional functional relationships. Environmetrics DOI: 10.1002/env.892 (in press).
10. Kefford BJ, Nugegoda D, Metzeling L, Fields EJ. 2006. Validating species sensitivity distributions using salinity tolerance of riverine macroinvertebrates in the southern Murray-Darling Basin (Victoria, Australia). Can J Fish Aquat Sci 63:1865-1877.
11. Dunlop JE, Horrigan N, McGregor G, Kefford BJ, Choy S, Prasad R. 2008. Effect of spatial variation on macroinvertebrate salinity tolerance in eastern Australia and implications for ecosystem protection trigger values. Environ Pollut 151:621-630.
12. Horrigan N, Choy S, Marshall J, Recknagel F. 2005. Response of stream macroinvertebrates to changes in salinity and the development of a salinity index. Mar Freshw Res 56:825-833.
13. Horrigan N, Dunlop JE, Kefford BJ, Zavahir F. 2007. Acute toxicity largely reflects the salinity sensitivity of stream macroinvertebrates derived using field distributions. Mar Freshw Res 58:178-186.
14. Kefford BJ, Palmer CG, Nugegoda D. 2005. Relative salinity tolerance of freshwater macroinvertebrates from the southeast Eastern Cape, South Africa, compared with the Barwon catchment, Victoria, Australia. Mar Freshw Res 56:163-171.
15. Hassell KL, Kefford BJ, Nugegoda D. 2006. Sublethal and chronic lethal salinity tolerance of three freshwater insects: Cloeon sp. and Centroptilum sp. (Ephemeroptera: Baetidae) and Chironomus sp. (Diptera: Chironomidae). J Exp Biol 209:4024-4032.
16. Kefford BJ, Nugegoda D. 2005. No evidence for a critical salinity threshold for growth and reproduction of the freshwater snail Physa acuta. Environ Pollut 54:755-765.
17. 50 values for birds and mammals. Environ Toxicol Chem 16:1785-1788.
18. Helsel DR. 2004. Nondetects and Data Analysis: Statistics for Censored Environmental Data. John Wiley, New York, NY, USA.
19. Law G, Brookmeyer R. 1992. Effects of midpoint imputation on the analysis of doubly censored data. Stat Med 11:1569-1578.
20. Collett D. 2003. Modeling Survival Data in Medical Research, 2nd ed. CRC, Boca Raton, FL, USA.
21. R Development Core Team. 2006. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria.
22. Aldenberg T, Jaworska JS. 2000. Uncertainty of the hazardous concentration and fraction affected for normal species sensitivity distributions. Ecotoxicol Environ Saf 46:1-18.
23. Congdon P. 2001. Bayesian Statistical Modeling. John Wiley, New York, NY, USA.
24. Ellison AM. 1996. An introduction to Bayesian inference for ecological research and environmental decision-making. Ecol Appl 6:1036-1046.
25. Congdon P. 2003. Applied Bayesian Modeling. John Wiley, New York, NY, USA.
26. Lunn DJ, Thomas A, Best N, Spiegelhalter D. 2000. WinBUGS - A Bayesian modeling framework: Concepts, structure, and extensibility. Stat Com 10:325-337.
27. Spiegelhalter DJ, Thomas A, Best N, Lunn D. 2004. WinBUGS User Manual, Ver 1.4.1. MRC Biostatistics Unit, Cambridge, UK.
28. McCarthy MA. 2007. Bayesian Methods for Ecology. Cambridge University Press, Cambridge, UK, pp 225-243.
29. Kefford BJ, Papas PJ, Metzeling L, Nugegoda D. 2004. Do laboratory salinity tolerances of freshwater animals correspond with their field salinity? Environ Pollut 129:355-362.