Abstract
Hydrocarbons have an utmost economical importance but may also cause substantial ecological impacts due to accidents or inadequate transportation and use. Currently, freshwater biomonitoring methods lack an indicator that can unequivocally reflect the impacts caused by hydrocarbons while being independent from effects of other stressors. The aim of the present study was to develop a sensitivity ranking for freshwater invertebrates towards hydrocarbon contaminants, which can be used in hydrocarbon-specific bioindicators. We employed the Relative Sensitivity method and developed the sensitivity ranking S hydrocarbons based on literature ecotoxicological data supplemented with rapid and mesocosm test results. A first validation of the sensitivity ranking based on an earlier field study has been conducted and revealed the S hydrocarbons ranking to be promising for application in sensitivity based indicators. Thus, the first results indicate that the ranking can serve as the core component of future hydrocarbon-specific and sensitivity trait based bioindicators.
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References
Abernethy S, Bobra AM, Shiu WY, Well PG, Mackay D (1986) Acute lethal toxicity of hydrocarbons and chlorinated hydrocarbons to two planktonic crustaceans: the key role of organism–water partitioning. Aquat Toxicol 8(3):163–174. https://doi.org/10.1016/0166-445X(86)90062-7
Baird DJ, Baker CJ, Brua RB, Hajibabaei M, McNicol K, Pascoe TJ, de Zwart D (2011) Toward a knowledge infrastructure for traits-based ecological risk assessment. Integr Environ Assess Manag 7(2):209–215. https://doi.org/10.1002/ieam.129
Beketov MA, Kefford BJ, Schäfer RB, Liess M (2013) Pesticides reduce regional biodiversity of stream invertebrates. PNAS 110(27):11039–11043. https://doi.org/10.1073/pnas.1305618110
Beketov MA, Liess M (2008) An indicator for effects of organic toxicants on lotic invertebrate communities: independence of confounding environmental factors over an extensive river continuum. Environ Pollut 156(3):980–987. https://doi.org/10.1016/j.envpol.2008.05.005
Bonada N, Prat N, Resh VH, Statzner B (2006) Developments in aquatic insect biomonitoring: a comparative analysis of recent approaches. Annu Rev Entomol 51:495–523. https://doi.org/10.1146/annurev.ento.51.110104.151124
BP (2013) Statistical review of world energy. http://www.bp.com/content/dam/bp/pdf/statistical-review/statistical_review_of_world_energy_2013.pdf. Accessed 18 Nov 2016
Bunzel K, Kattwinkel M, Liess M (2013) Effects of organic pollutants from wastewater treatment plants on aquatic invertebrate communities. Water Res 47(2):597–606. https://doi.org/10.1016/j.watres.2012.10.031
Cailleaud K, Basseres A, Dalens J, Loustalot V, Medevielle N, Comber M, Djemel N, Keresztenyi I, Linington S, Mézeth K, Parkerton T, Paumen ML, Redman A, Seljestokken B, Girling A, Villalobos SA, Spence M, Whale G (2015) Evaluation of whole effluent bioassays for assessment of hydrocarbon ecotoxicity: phase iii stream study report. Brussels, Concawe report no 7/15
Culp J, Hose G, Armanini D, Dunbar M, Orlofske J, Poff N, Pollard A, Yates A (2011) Incorporating traits in aquatic biomonitoring to enhance causal diagnosis and prediction. Integr Environ Assess Manag 7:187–197
Dormann, CF, Kühn, I (2009) Angewandte Statistik für die biologischen Wissenschaften. Helmholtz Zentrum für Umweltforschung-UFZ
Eisler R (1987) Polycyclic aromatic hydrocarbon hazards to fish, wildlife, and invertebrates: a synoptic review. U.S. Fish and Wildlife Service Biological Report 85 (1.11) https://www.pwrc.usgs.gov/oilinla/pdfs/CHR_11_PAHs.pdf. Accessed 17 Mar 2017
Environment Canada (2013) First Priority Substances List (PSL1). http://www.ec.gc.ca/ese-ees/default.asp?lang=En&n=95D719C5-1. Accessed 17 Mar 2013
Erben R, Maguire I, Lajtner J, Barčot M, Pišl Z (2003) Effect of some monocyclic aromatic hydrocarbons on freshwater invertebrates. Bull Environ Contam Toxicol 70(1):0124–0130. https://doi.org/10.1007/s00128-002-0165-8
ESIS (2013) European chemical Substances Information System. http://esis.jrc.ec.europa.eu/. Accessed 18 Nov 2016
Gill RA, Robotham PWJ (1989) Composition, sources and source identification of petroleum hydrocarbons and their residues. In: Green J, Trett MW (Eds.) The fate and effects of oil in freshwater. Springer, Netherlands, p 11–40
Ippolito A, Todeschini R, Vighi M (2012) Sensitivity assessment of freshwater macroinvertebrates to pesticides using biological traits. Ecotoxicology 21(2):336–352. https://doi.org/10.1007/s10646-011-0795-x
Kefford BJ, Palmer CG, Jooste S, Warne MSJ, Nugegoda D (2005) What is meant by “95% of species”? An argument for the inclusion of rapid tolerance testing. Hum Ecol Risk Assess 11(5):1025–1046. https://doi.org/10.1080/10807030500257770
Leonards P, Comber M, Forbes S (2010) Concawe report no 3/10, Concawe Effluent Speciation Project, Brussels
Liess M, von der Ohe PC (2005) Analyzing effects of pesticides on invertebrate communities in streams. Environ Toxicol Chem 24(4):954–965. https://doi.org/10.1897/03-652.1
Nagpal, NK (1993) Ambient water quality criteria for polycyclic aromatic hydrocarbons (PAHs). Overview Report and Technical Appendix. BC Environment, Water Quality Branch. http://www2.gov.bc.ca/gov/content/environment/air-land-water/water/water-quality/water-quality-guidelines/approved-water-quality-guidelines. Accessed 17 Mar 2017
Newman MC, Ownby DR, Mézin LCA, Powell DC, Christensen TRL, Lerberg SB, Anderson BA (2000) Applying species sensitivity distributions in ecological risk assessment: assumptions of distribution type and sufficient numbers of species. Environ Toxicol Chem 19(2):508–515. https://doi.org/10.1002/etc.5620190233
OECD (2000) Series on testing and assessment Number 23. Guidance document on aquatic toxicity testing of difficult substances and mixtures, ENV/JM/MONO(2000)6
OECD (2013) Existing Chemicals Database. http://webnet.oecd.org/hpv/UI/Search.aspx. Accessed 17 Mar 2013
Phillips DJ, Rainbow PS (1993) The biomonitoring of organochlorines and hydrocarbons. Biomonitoring of trace aquatic contaminants. Springer, Netherlands, p 133–178
Piscart C, Usseglio-Polatera P, Moreteau JC, Beisel JN (2006) The role of salinity in the selection of biological traits of freshwater invertebrates. Archiv für Hydrobiologie 166(2):185–198. https://doi.org/10.1127/0003-9136/2006/0166-0185
Prabhukumar G, Pagilla K (2010) Polycyclic aromatic hydrocarbons in urban runoff—Sources, sinks and treatment: A review, in: Dep. of Civ.; Archit. and Environ. Eng.; Inst. of Tech: Chicago; IL (Ed.). http://www.drscw.org/dissolvedoxygen/PAHFinal.pdf. Accessed 18 Nov 2016
R Development Core Team R: A language and environment for statistical computing, reference index version 2.15.2. www.r-project.org. Accessed 18 Nov 2016
Rasmussen JJ, Baattrup-Pedersen A, Larsen SE, Kronvang B (2011) Local physical habitat quality cloud the effect of predicted pesticide runoff from agricultural land in Danish streams. J Environ Monit 13:943–950. https://doi.org/10.1039/C0EM00745E
Redman AD, Parkerton TF, McGrath JA, Di Toro DM (2012) PETROTOX: an aquatic toxicity model for petroleum substances. Environ Toxicol Chem 31(11):2498–2506. https://www.concawe.eu/reach/petrotox https://doi.org/10.1002/etc.1982. Accessed 17 Mar 2017
Rico A, Van den Brink PJ (2015) Evaluating aquatic invertebrate vulnerability to insecticides based on intrinsic sensitivity, biological traits and toxic mode-of-action. Environ Toxicol Chem 34(8):1907–1917. https://doi.org/10.1002/etc.3008
Rubach MN, Baird DJ, Van den Brink PJ (2010) A new method for ranking mode-specific sensitivity of freshwater arthropods to insecticides and its relationship to biological traits. Environ Toxicol Chem 29(2):476–487. https://doi.org/10.1002/etc.55
Schäfer RB, Kefford BJ, Metzeling L, Liess M, Burgert S, Marchant R, Pettigrove V, Goonan P, Nugegoda D (2011) A trait database of stream invertebrates for the ecological risk assessment of single and combined effects of salinity and pesticides in South-East Australia. Sci Total Environ 409(11):2055–2063. https://doi.org/10.1016/j.scitotenv.2011.01.053
Schletterer M, Füreder L, Kuzovlev VV, Beketov MA (2010) Testing the coherence of several macroinvertebrate indices and environmental factors in a large lowland river system (Volga River, Russia). Ecol Indic 10(6):1083–1092. https://doi.org/10.1016/j.ecolind.2010.03.004
Schuwirth N, Kattwinkel M, Stamm C (2015) How stressor specific are trait-based ecological indices for ecosystem management? Sci Total Environ 505:565–572. https://doi.org/10.1016/j.scitotenv.2014.10.029
Statzner B, Bêche L (2010) Can biological invertebrate traits resolve effects of multiple stressors on running water ecosystems? Freshw Biol 55(1):80–119. https://doi.org/10.1111/j.1365-2427.2009.02369.x
Szöcs E, Coring E, Bäthe J, Schäfer RB (2014) Effects of anthropogenic salinization on biological traits and community composition of stream macroinvertebrates. Sci Total Environ 468-469:943–949. https://doi.org/10.1016/j.scitotenv.2013.08.058
US EIA (US Energy Information Administration) (2013) International Energy Statistics. http://www.eia.gov/cfapps/ipdbproject/IEDIndex3.cfm#. Accessed 25 Aug 2013
US EPA (US Environmental Protection Agency) (2013) ECOTOX User Guide: ECOTOXicology Database System. Version 4.0. http://www.epa.gov/ecotox/. Accessed 14 Sept 2011
Veith GD, Call DJ, Brooke LT (1983) Structure–toxicity relationships for the fathead minnow. Can J Fish Aquat Sci 40(6):743–748. https://doi.org/10.1139/f83-096
Vindimian E (2001) The biological monitoring of toxic impacts on the environment. Cell mol biol 47(8):1309–1318
Vindimian, E (2005) MSExcel macro REGTOX EV7.0.5.xls. http://www.normalesup.org/~vindimian/en_index.html. Accessed 17 Mar 2017
von der Ohe PC, Kühne R, Ebert R-U, Altenburger R, Liess M, Schüürmann G (2005) Structural alerts – a new classification model to discriminate excess toxicity from narcotic effect levels of organic compounds in the acute daphnid assay. Chem Res Toxicol 18:536–555. https://doi.org/10.1021/tx0497954
von der Ohe PC, Liess M (2004) Relative sensitivity distribution of aquatic invertebrates to organic and metal compounds. Environ Toxicol Chem 23(1):150–156. https://doi.org/10.1897/02-577
Wogram J, Liess M (2001) Rank ordering of macroinvertebrate species sensitivity to toxic compounds by comparison with that of Daphnia magna. Bull Environ Contam Toxicol 67(3):0360–0367. https://doi.org/10.1007/s001280133
Wooster DE, Miller SW, DeBano SJ (2012) An examination of the impact of multiple disturbances on a river system: taxonomic metrics versus biological traits. River Res Appl 28(10):1630–1643. https://doi.org/10.1002/rra.1555
Acknowledgements
The study was funded by the projects PETRO-SPEAR and Helmholtz-Alberta Initiative (HAI) and was conducted at the UFZ—Helmholtz Centre for Environmental Research. NG was funded by HAI. MB was funded by Total Petrochemicals, France. This work was supported by Helmholtz Impulse and Networking Fund through Helmholtz Interdisciplinary Graduate School for Environmental Research (HIGRADE). The funding bodies had no involvement in decisions on study design, the collection, analysis and interpretation of data, the writing of the report or on submitting the article for publication.
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Gerner, N.V., Cailleaud, K., Bassères, A. et al. Sensitivity ranking for freshwater invertebrates towards hydrocarbon contaminants. Ecotoxicology 26, 1216–1226 (2017). https://doi.org/10.1007/s10646-017-1847-7
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DOI: https://doi.org/10.1007/s10646-017-1847-7