Predicted mixture toxic pressure relates to observed fraction of benthic macrofauna species impacted by contaminant mixtures

Environmental Toxicology and Chemistry

Volumn 31, Issue 9, 2012, Pages 2175-2188

  Posthuma, Leo ^a   de Zwart, Dick ^a  

^a NATIONAL INSTITUTE FOR PUBLIC HEALTH AND THE ENVIRONMENT   (Netherlands)

Author keywords

Confirmation; Contaminated sediment; Multisubstance potentially affected fraction; Species sensitivity distribution; Toxic pressure

Indexed keywords

BENTHIC MACROFAUNA; BENTHIC MACROINVERTEBRATES; CHLORINATED ORGANICS; CONFIRMATION; CONTAMINANT MIXTURES; CONTAMINATED SEDIMENT; ECOLOGICAL IMPACTS; ENVIRONMENTAL COMPARTMENT; ENVIRONMENTAL POLICY; ENVIRONMENTAL VARIABLES; GENERALIZED LINEAR MODEL; MIXTURE MODELING; MODEL OUTPUTS; MONTE CARLO SIMULATION; MULTISUBSTANCE POTENTIALLY AFFECTED FRACTION; SPECIES SENSITIVITY DISTRIBUTIONS;

BIOCHEMISTRY; MINERAL OILS; MIXTURES; MONTE CARLO METHODS; POLYCHLORINATED BIPHENYLS; POLYCYCLIC AROMATIC HYDROCARBONS;

POPULATION DISTRIBUTION;

ACENAPHTHENE DERIVATIVE; ACENAPHTHYLENE; ANTHRACENE; BENZ[A]ANTHRACENE; BENZO[A]PYRENE; BENZO[B]FLUORANTHENE; BENZO[GHI]PERYLENE; BENZO[K]FLUORANTHENE; BETA HEXACHLOROCYCLOHEXANE; BIPHENYL DERIVATIVE; CHRYSENE; DIBENZ[A,H]ANTHRACENE; ENDOSULFAN; FENANTRENE; FLUORANTHENE; FLUORENE; HEPTACHLOR; HEXACHLOROBENZENE; HEXACHLOROBUTADIENE; LINDANE; METAL DERIVATIVE; MINERAL OIL; NAPHTHALENE; ORGANIC COMPOUND; PENTACHLOROBENZENE; POLYCYCLIC AROMATIC HYDROCARBON DERIVATIVE; PYRENE; PYRENE DERIVATIVE; UNCLASSIFIED DRUG; UNINDEXED DRUG; WATER;

ABUNDANCE; BIOAVAILABILITY; CONCENTRATION (COMPOSITION); ECOLOGICAL IMPACT; ENVIRONMENTAL POLICY; MACROINVERTEBRATE; METAL; MONTE CARLO ANALYSIS; NUMERICAL MODEL; ORGANOCHLORINE; PAH; PCB; PETROLEUM HYDROCARBON; POLLUTION EFFECT; POLLUTION EXPOSURE; PREDICTION; SEDIMENT POLLUTION; TOXICOLOGY; ZOOBENTHOS;

ACUTE TOXIC PRESSURE; ARTICLE; BENTHIC FAUNA; BIOAVAILABILITY; BIOMASS PRODUCTION; ECOLOGY; ENVIRONMENTAL EROSION; EXPOSURE; HABITAT; MACROINVERTEBRATE; MODEL; MONTE CARLO METHOD; ORGANIC MATTER PRODUCTION; PH; PREDICTOR VARIABLE; PRESSURE; PRIORITY JOURNAL; SAND; SEDIMENTATION; SPECIE SENSITIVITY DISTRIBUTION; STATISTICAL MODEL;

ANIMALS; ENVIRONMENTAL MONITORING; INVERTEBRATES; LINEAR MODELS; METALS; MINERAL OIL; MODELS, THEORETICAL; MONTE CARLO METHOD; POLYCHLORINATED BIPHENYLS; POLYCYCLIC HYDROCARBONS, AROMATIC;

EID: 84865312660     PISSN: 07307268     EISSN: 15528618     Source Type: Journal    
DOI: 10.1002/etc.1923     Document Type: Article

References (44)

1. Hopkin SP. 1993. Ecological implications of 95% protection levels for metals in soil. Oikos 66: 137-141.
2. Van Straalen NM. 1993. An ecotoxicologist in politics. Oikos 66: 142-143.
3. Forbes TL, Forbes VE. 1993. A critique of the use of distribution-based extrapolation models in ecotoxicology. Funct Ecol 7: 249-254.
4. Smith EP, Cairns J. 1993. Extrapolation methods for setting ecological standards for water quality, statistical and ecological concerns. Ecotoxicology 2: 203-219.
5. Posthuma L, Traas TP, Suter GW II. eds, 2002. Species Sensitivity Distributions in Ecotoxicology. Lewis, Boca Raton, FL, USA.
6. De Zwart D. 2002. Observed regularities in SSDs for aquatic species. In Posthuma L, Suter GW II, Traas TP, eds, Species Sensitivity Distributions in Ecotoxicology. Lewis Publishers, Boca Raton, FL, USA, pp 133-154.
7. Stephan CE, Mount DI, Hansen DJ, Gentile JH, Chapman GA, Brungs WA. 1985. Guidelines for deriving numerical national water quality criteria for the protection of aquatic organisms and their uses. PB 85-227049. U.S. Environmental Protection Agency, Duluth, MN.
8. Van Vlaardingen PLA, Traas TP, Wintersen AM, Aldenberg T. 2004. ETX2.0. A program to calculate hazardous concentrations and fraction affected, based on normally distributed toxicity data. RIVM-no. 601501028. National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
9. Kooijman SALM. 1987. A safety factor for LC50 values allowing for differences in sensitivity among species. Water Res 21: 269-276.
10. Van Straalen NM, Denneman CAJ. 1989. Ecotoxicological evaluation of soil quality criteria. Ecotoxicol Environ Saf 18: 241-251.
11. Posthuma L, Suter GW. 2011. Ecological risk assessment of diffuse and local soil contamination using species sensitivity distributions. In Swartjes FA, ed, Dealing with Contaminated Sites. Springer, Netherlands, pp 625-691.
12. De Zwart D, Posthuma L. 2006. Complex mixture toxicity for single and multiple species: Proposed methodologies. Environ Toxicol Chem 24: 2665-2672.
13. De Zwart D, Warne A, Forbes VE, Posthuma L, Peijnenburg W, Van de Meent D. 2008. Matrix and media extrapolation. In Solomon KR, Brock T, De Zwart D, Dyer SD, Posthuma L, Richards S, Sanderson H, Sibley P, Van den Brink PJ, eds, Extrapolation Practice for Ecotoxicological Effect Characterization of Chemicals. CRC, Boca Raton, FL, USA, pp 33-74.
14. Kefford BJ, Marchant R, Schäfer RB, Metzeling L, Dunlop JE, Choy SC, Goonan P. 2011. The definition of species richness used by species sensitivity distributions approximates observed effects of salinity on stream macroinvertebrates. Environ Pollut 159: 302-310.
15. Oreskes N, Shrader-Frechette K, Belitz K. 1994. Verification, validation, and confirmation of numerical models in the earth sciences. Science 263: 641-646.
16. Peeters ETHM, De Lange HJ, De la Haye MAA, Rutjes HA, Janmaat LM. 2010. Achtergrondrapport KRW-maatlat macrofauna R8 (In Dutch). Grontmij/AquaSense, Amsterdam, The Netherlands.
17. Hin J, Osté L, Schmidt C. 2010. Handreiking beoordelen waterbodems (In Dutch). Ministry of Infrastructure and the Environment, Den Haag, The Netherlands.
18. Bellman RE. 1961. Adaptive Control Processes: A Guided Tour. Princeton University Press, Princeton, NJ, USA.
19. Lomax R. 2001. Statistical Concepts: A Second Course for Education and the Behavioral Sciences, 2nd ed. Lawrence Erlbaum Associates, Mahwah, NJ, USA.
20. Kline RB. 1998. Principles and Practice of Structural Equation Modeling. Guilford, New York, NY, USA.
21. O'Brian RM. 2007. A caution regarding rules of thumb for variance inflation factors. Qual Quant 41: 673-690.
22. McCullagh P, Nelder JA. 1989. Generalized Linear Models, 2nd ed. Chapman and Hall, London, UK.
23. Van den Brink PJ, Ter Braak CJF. 1999. Principal response curves: Analysis of time-dependent multivariate responses of biological community to stress. Environ Toxicol Chem 18: 138-148.
24. Huijbregts MAJ, Van de Meent D, Goedkoop M, Spriensma R. 2002. Ecotoxicological impacts in life cycle assessment. In Posthuma L, Suter GW II, Traas TP, eds, Species Sensitivity Distributions in Ecotoxicology. Lewis, Boca Raton, FL, USA, pp 421-436.
25. Advies en Kenniscentrum Waterbodems (Advisory and Knowledge Centre Sediments). 2001. Bagger in Beeld. Basisdocument Tienjarenscenario Waterbodems. (In Dutch). Report no. 01.014. AKWA, Utrecht, The Netherlands.
26. Posthuma L, Eijsackers HJP, Koelmans AA, Vijver MG. 2008. Ecological effects of diffuse mixed pollution are site-specific and require higher-tier risk assessment to improve site management decisions: A discussion paper. Sci Total Environ 406: 503-517.
27. Osté LA, Wintersen A, Ten Kate E, Posthuma L. 2008. Nieuwe normen waterbodems. Normen voor verspreiden en toepassen op bodem onder oppervlaktewater. RIZA-report no. 2007. 003, RIVM-rapport 711701064. RIZA, Lelystad, The Netherlands.
28. Boekhold AE. 2008. Ecological risk assessment in legislation on contaminated soil in The Netherlands. Sci Total Environ 406: 518-522.
29. Burton GA, De Zwart D, Diamond J, Dyer SD, Kapo KE, Liess M, Posthuma L. 2012. Making ecosystem reality checks the status quo. Environ Toxicol Chem 31: 459-468.
30. Versluijs CW, De Cleen M, Van Wijnen HJ, Van den Broek HH, Mulder HFMM. 2008. The national potentially polluted sites database as input for a societal cost-benefit analysis of the soil remediation operation in the Netherlands. Proceedings, ConSoil 2008, Milan, Italy, June 3-6.
31. Mebane C. 2010. Relevance of risk predictions derived from a chronic species sensitivity distribution with cadmium to aquatic populations and ecosystems. Risk Analysis 30: 203-223.
32. Emans HJB, Van de Plassche EJ, Canton JH, Okkerman PC, Sparenburg PM. 1993. Validation of some extrapolation methods used for effect assessment. Environ Toxicol Chem 12: 2139-2154.
33. Okkerman PC, Van de Plassche EJ, Emans HJB, Canton JH. 1993. Validation of some extrapolation methods with toxicity data derived from multiple species experiments. Ecotoxicol Environ Saf 25: 341-359.
34. Posthuma L. 1997. Effects of toxicants on population and community parameters in field conditions, and their potential use in the validation of risk assessment methods. In Van Straalen NM, Løkke HE, eds, Ecological Risk Assessment of Contaminants in Soil. Chapman and Hall, London, UK, pp 85-123.
35. Posthuma L, Van Gestel CAM, Smit CE, Bakker DJ, Vonk JW. 1998. Validation of toxicity data and risk limits for soils. Final report 607505004. National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
36. Van den Brink PJ, Brock TCM, Posthuma L. 2002. The value of the species sensitivity distribution concept for predicting field effects: (Non) confirmation of the concept using semifield experiments. In Posthuma L, Suter GW II, Traas TP, eds, Species Sensitivity Distributions in Ecotoxicology. Lewis, Boca Raton, FL, USA, pp 155-193.
37. De Zwart D, Pemberton E, Posthuma L, Veal A, Wells C. 2008. Understanding ecological impacts in rivers in England and Wales and identifying their possible causes. Part 1. The effect and probable cause (EPC) method. Environment Agency (Great Britain) Science report SC030189/SR5, Environment Agency National Customer Contact Centre, Bristol, UK.
38. Posthuma L, De Zwart D. 2006. Predicted effects of toxicant mixtures are confirmed by changes in fish species assemblages in Ohio, USA, rivers. Environ Toxicol Chem 25: 1094-1105.
39. Posthuma L, Traas TP, De Zwart D, Suter GW II. 2002. Conceptual and technical outlook on species sensitivity distributions. In Posthuma L, Suter GW II, Traas TP, eds, Species Sensitivity Distributions in Ecotoxicology. Lewis, Boca Raton, FL, USA, pp 475-510.
40. Forbes VE, Calow P, Sibly RM. 2008. The extrapolation problem and how population modeling can help. Environ Toxicol Chem 27: 1987-1994.
41. Wintersen A, Posthuma L, De Zwart D. 2004. The RIVM e-toxBase. A database for storage, retrieval and export of ecotoxicity data. National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
42. Van Zelm R, Huijbregts MAJ, Posthuma L, Wintersen A, Van de Meent D. 2009. Pesticide ecotoxicological effect factors and their uncertainties for freshwater ecosystems. Int J LCA 14: 43-51.
43. Harbers JV, Huijbregts MAJ, Posthuma L, Van de Meent D. 2006. Estimating the impact of high-production-volume chemicals on remote ecosystems by toxic pressure calculation. Environ Sci Technol 40: 1573-1580.
44. De Zwart D. 2005. Ecological effects of pesticide use in the Netherlands: Modeled and observed effects in the field ditch. Integr Environ Assess Manag 1: 123-134.