Food web modeling of a river ecosystem for risk assessment of down-the-drain chemicals: A case study with AQUATOX

Science of the Total Environment

Volumn 508, Issue , 2015, Pages 214-227

  Lombardo, Andrea ^a   Franco, Antonio ^b   Pivato, Alberto ^a   Barausse, Alberto ^a  

^a UNIVERSITY OF PADOVA   (Italy)

^b UNILEVER RESEARCH   (United Kingdom)

Author keywords

Down the drain chemicals; Ecological risk assessment; Food web; Indirect ecological effects; River ecosystem; Trophic dynamics

Indexed keywords

ANIONIC SURFACTANTS; CHEMICAL CONTAMINATION; COMPUTER SIMULATION; HYDROGEOLOGY; INDICATORS (CHEMICAL); RISK ASSESSMENT; RISK PERCEPTION; RIVERS; SOCIAL NETWORKING (ONLINE); SURVEYS; TOXICITY;

ECOLOGICAL EFFECT; ECOLOGICAL RISK ASSESSMENT; FOOD WEBS; RIVER ECOSYSTEM; TROPHIC DYNAMICS;

ECOSYSTEMS;

ALKYLBENZENESULFONIC ACID; ORGANIC MATTER; TRICLOSAN; WATER POLLUTANT;

CHEMICAL SUBSTANCE; ECOSYSTEM DYNAMICS; ECOSYSTEM MODELING; ECOTOXICOLOGY; FOOD WEB; RISK ASSESSMENT; TROPHIC CONDITIONS;

ARTICLE; BIOACCUMULATION; BIOMASS; COMMUNITY DYNAMICS; CONTROLLED STUDY; ECOTOXICOLOGY; ENVIRONMENTAL IMPACT; FOOD WEB; INTRASPECIFIC COMPETITION; NUTRIENT; PREDATION; RISK ASSESSMENT; RIVER ECOSYSTEM; SIMULATION; TOXICOKINETICS; TROPHIC LEVEL; UNITED KINGDOM; WASTE WATER; WATER QUALITY; ANIMAL; AQUATIC SPECIES; CHEMISTRY; ECOSYSTEM; FOOD CHAIN; PROCEDURES; RIVER; SEWAGE; TOXICITY TESTING; WATER POLLUTANT;

ENGLAND; THAMES RIVER [ENGLAND]; UNITED KINGDOM;

ANIMALS; AQUATIC ORGANISMS; ECOSYSTEM; FOOD CHAIN; RISK ASSESSMENT; RIVERS; TOXICITY TESTS; WASTE DISPOSAL, FLUID; WATER POLLUTANTS, CHEMICAL;

EID: 84913554652     PISSN: 00489697     EISSN: 18791026     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2014.11.038     Document Type: Article

References (50)

1. Berrie A.D. The occurrence and the composition of seston in the River Thames and the role of detritus as an energy source for secondary profuction in the river. Mem Ist Ital Idrobiol 1972, 29:473-483. [Suppl.].
2. Bowes M.J., Gozzard E., Johnson A.C., Scarlett P.M., Roberts C., Read D.S., et al. Spatial and temporal changes in chlorophyll-a concentrations in the River Thames basin, UK: are phosphorus concentrations beginning to limit phytoplankton biomass?. Sci Total Environ 2012, 426:45-55.
3. Christensen V., Walters C.J., Pauly D. Ecopath with ecosim: a user's guide 2005, Fisheries Centre, University of British Columbia, Vancouver, Canada, [154pp.]. November 2005 ed.
4. Cury P., Shannon L., Shin Y.J. The functioning of marine ecosystems. Reykjavik Conference on Responsible Fisheries in the Marine Ecosystem. Reykjavik 2001.
5. ECETOC.European Center of Ecotoxicology e Toxicology of Chemicals Aquatic Hazard Assessment II, Technical Report n 91 2003, ECETOC, Brussels, Belgium, [Available at: http://www.ecetoc.org/publications].
6. Flynn N.J., Snook D.L., Wade A.J., Jarvie H.P. Macrophyte and periphyton dynamics in a UK Cretaceous chalk stream: the River Kennet, a tributary of the Thames. Sci Total Environ 2002, 282-283:143-157.
7. Folke C., Carpenter S., Walker B., Scheffer M., Elmqvist T., Gunderson L., et al. Regime shifts, resilience, and biodiversity in ecosystem management. Annu Rev Ecol Evol Syst 2004, 35:557-581.
8. Franco A., Trapp S. A multimedia activity model for ionizable compounds. Validation study with 2,4-D, aniline and trimethoprim. Environ Toxicol Chem 2010, 29:789-799.
9. Froese R., Pauly D. FishBase 2011, World Wide Web Electronic Publication, [Available at: http://www.fishbase.org, accessed April 2013].
10. Galic N., Hommen U., Baveco J.M., van den Brink P.J. Potential application of population models in the European ecological risk assessment of chemicals: II. Review of models and their capability to address environmental protection aims. Integr Environ Assess Manag 2010, 6:338-360.
11. Gray C., Baird D.J., Baumgartner S., Jacob U., Jenkins G.B., O'Gorman E.J., Lu X., Ma A., Pocock M.J.O., Schuwirth N., Thompson M., Woodward G. Ecological networks: the missing link in biomonitoring science. J Appl Ecol 2014, 51:1444-1449.
12. Gobas F.A.P.C. A model to predict the bioaccumulation of hydrophobic organic chemicals in aquatic food webs: application to Lake Ontario. Ecol Model 1993, 69:1-17.
13. Gouin T., van Egmond R., Price O.R., Hodges J.E.N. Prioritising chemicals used in personal care products in China for environmental risk assessment: application of the RAIDAR model. Environ Pollut 2012, 165:208-214.
14. HERA Human & Environmental Risk Assessment on ingredients of European household cleaning products. LAS: linear alkylbenzene sulphonate 2009, [Available at: http://www.heraproject.com/].
15. Hickey G.L., Craig P.S. Competing statistical methods for the fitting of normal species sensitivity distributions: recommendations for practitioners. Risk Anal 2011, 37:1232-1243.
16. Hoffmann D.J., Rattner B.A., Burton G.A., Cairns J. Handbook of ecotoxicology 2003, Lewis Publishers, Boca Raton, Florida, US. 2nd ed.
17. Hommen U., Baveco J.M., Galic N., van den Brink P. Potential application of ecological models in the European environmental risk assessment of chemicals: I. Review of protection goals in EU directives. Integr Environ Assess Manag 2010, 6:325-337.
18. Jørgensen S.E., Bendoricchio G. Fundamentals of ecological modelling 2001, Elsevier, Amsterdam, Netherlands, [530pp.]. 3rd ed.
19. Lei B., Huang S., Qiao M., Li T., Wang Z. Prediction of the environmental fate and aquatic ecological impact of nitrobenzene in the Songhua River using the modified AQUATOX model. J Environ Sci 2008, 20:769-777.
20. Lyndall J., Fuchsman P., Bock M., Barber T., Laure D., Leich K., et al. Probabilistic risk evaluation for triclosan in surface water, sediments and aquatic biota tissues. Integr Environ Assess Manag 2010, 6:419-440.
21. Mann K.H. The pattern of energy flow in the fish and invertebrate fauna of the River Thames. Verh Int Ver Limnol 1964, 15:485-495.
22. Mann K.H. Energy transformations by a population of fish in the River Thames. J Anim Ecol 1965, 34:253-275.
23. Mann K.H., Britton R.H., Kowalczewsky A., Lack T.J., Mathews C.P., McDonald I. Productivity and energy flow at all trophic levels in the River Thames, England 1972, 589-596. Z. Kajak, A. Hillbricht-Ilkowska (Eds.).
24. Mathews C.P. Productivity and energy flows at all trophic levels in the River Thames, England: mark 2. Trophic models of aquatic ecosystems, ICLARM Conf. Proc 1993, 26:161-171. V. Christensen, D. Pauly (Eds.).
25. McKnight U.S., Funder S.G., Rasmussen J.J., Finkel M., Binning P.J., Bjerg P.L. An integrated model for assessing the risk of TCE groundwater contamination to human receptors and surface water ecosystems. Ecol Eng 2010, 36:1126-1137.
26. Neal C., Robson A.J. A summary of river quality data collected within the Land-Ocean Interaction Study: core data for eastern UK rivers draining to the North Sea. Sci Total Environ 2000, 251-252:585-665.
27. Neal C., Williams R.J., Neal M., Bhardwaj L.C., Wickham H., Harrow M., et al. The water quality of the River Thames at a rural site downstream of Oxford. Sci Total Environ 2000, 251-252:441-457.
28. Newman M.C., Unger M.A. Fundamentals of ecotoxicology 2003, CRC press, [480 pp.].
29. Orcutt J.D., Pace M.L. Seasonal dynamic of rotifer and crustacean zooplankton populations in eutrophic monomictic lake with a noteon rotifer sampling techniques. Hydrobiologia 1984, 119:73-80.
30. Pace M.L., Cole J.J., Carpenter S.R., Kitchell J.F. Trophic cascades revealed in diverse ecosystems. Trends Ecol Evol 1999, 14:483-488.
31. Palomares M.L.D., Pauly D. Predicting food consumption of fish population as a function of mortality, food type, morphometrics, temperature and salinity. Mar Freshw Res 1998, 49:447-453.
32. Park R.A., Clough J.S. Aquatox (Release 3.1). Modeling environmental fate and ecological effects in aquatic ecosystems. Technical documentation 2012, Volume 2. U.S. Environmental Protection Agency, Washington DC.
33. Park R.A., Clough J.S., Coombs Wellman M. AQUATOX: modelling environmental fate and ecological effects in aquatic ecosystems. Ecol Model 2008, 213:1-15.
34. Penman H.L. Evaporation over parts of Europe. Proceeding of the General Assembly of Rome 1954, 101:168-176.
35. Peters R.H. The ecological implications of body size 1983, Cambrige University Press, Cambridge.
36. Peterson C.H., Rice S.D., Short J.W., Esler D., Bodkin J.L., Ballachey B.E., et al. Long-term ecosystem response to the Exxon Valdex oil spill. Science 2003, 302:2082-2086.
37. Preziosi D.V., Pastorok R.A. Ecological food web analysis for chemical risk assessment. Sci Total Environ 2008, 406:491-502.
38. Price O.R., Munday D.K., Whelan M.J., Holt M.S., Fox K.K., Morris G., et al. Data requirement of GREAT-ER: modelling and validation using LAS in four UK catchments. Environ Pollut 2009, 157:2610-2616.
39. Price O.R., Whilliams R.J., Egmond R., Wilkinson M.J., Whelan M.J. Predicting accurate and ecologically relevant regional scale concentrations of Triclosan in rivers for use in higher-tieraquatic risk assessment. Environ Int 2010, 36:521-526.
40. Rashleigh B., Barber M.C., Walters D.M. Foodweb modelling for polychlorinated biphenyls (PCBs) in the Twelvemile Creek Arm of Lake Hartwell, South Carolina, USA. Ecol Model 2009, 220:254-264.
41. Rudnick D.A., Pastorok R.A., Preziosi D.V., Bramley Y., Farrelly E., Huggett D., et al. Design and calibration of an AQUATOX ecosystem model for assessing effects of the herbicide prosulfocarb on aquatic food webs. SETAC North America annual meeting 2012. Long Beach, California, November 11-15 2012.
42. SCENIHR (Scientific Committee on Emerging, Newly Identified Health Risks), SCCS (Scientific Committee on Consumer Safety), SCHER (Scientific Committee on Health, Environmental Risks) Addressing the new challenges for risk assessment Available at:, [accessed October 2014]. http://ec.europa.eu/health/scientific_committees/emerging/docs/scenihr_o_037.pdf.
43. Scheffer M., Carpenter S., Foley J.A., Folke C., Walker B. Catastrophic shifts in ecosystems. Nature 2001, 413:591-596.
44. Smith M.E. Ecology of Naididae (Oligochaeta) from an alkaline bog stream: life history patterns and community structure. Hydrobiologia 1986, 133:79-90.
45. Sourisseau S., Basseres A., Perie F., Caquet T. Calibration, validation and sensitivity analysis of an ecosystem model applied to artificial streams. Water Res 2008, 42:1167-1181.
46. Streissl F. Mechanistic effect modelling in the context of regulatory pesticide risk assessment and EFSA activities. CREAM Open Conference. 10-13 June 2013, Leipzig, Germany 2013, [Available at: http://cream-itn.eu/open-conference].
47. Taner M.Ü., Carleton J.N., Wellman M. Integrated model projections of climate change impacts on a North American lake. Ecol Model 2011, 222:3380-3393.
48. Ulanowicz R.E. A third window. Natural life beyond Newton and Darwin 2010, Templeton Foundation Press, West Conshohocken.
49. Williams W.P. The growth and mortality of four species of fish in the River Thames at Reading. J Anim Ecol 1967, 36:695-720.
50. Zhang L., Liu J., Li Y., Zhao Y. Applying AQUATOX in determining the ecological risk assessment of polychlorinated biphenyl contamination in Baiyangdian lake, North China. Ecol Model 2013, 265:239-249.