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Exposure Characterization Tools for Ecological Risk Assessment of Pesticides in Water

  • Claudio A. SpadottoEmail author
  • Rafael Mingoti
Chapter
  • 247 Downloads

Abstract

Risk assessment and management of pesticides are directly related to sustainable agriculture concept because, besides playing an important role in intensified agriculture by protecting crops from pests and diseases and reducing competition from weeds, the use of pesticides can cause human health and ecological problems. Several pesticides have been shown to reduce water quality and result in adverse effects to sensitive organisms, aquatic ecosystems, and human health. Pesticides enter water systems through different pathways, and therefore, it is important to understand the environmental behavior and fate of pesticides and assess their potential exposure and associated risks to the environment. Ecological risk assessment—ERA—has been adopted in many countries for regulatory purpose and as basis for management of pesticides. Models can be used during different stages of the ERA process and include fate-exposure models, exposure-effect models, and integrated models. In this chapter, definitions of ERA are stated. Pesticide environmental behavior processes and modeling approaches are briefly discussed. Tools for ecological exposure characterization in the regulatory context of agricultural pesticides concerning surface water and groundwater bodies are presented.

Keywords

Environmental fate Behavior Model Regulation Management 

References

  1. ACP/ECP, American Crop Protection, European Crop Protection (1999) Framework for the ecological risk assessment of plant protection products [S.l.]: ACP/ECP. p 52. (ACP/ECP. Technical Monograph, 21)Google Scholar
  2. Adriaanse PI (1996) Fate of pesticides in field ditches: the TOXSWA simulation model. DLO Winand Staring Centre for Integrated Land, Soil and Water Research, Wageningen, the Netherlands, 241 p (SC-DLO Report 90)Google Scholar
  3. Allen RG, Pereira LS, Raes D, Smith M (1998) Crop Evapotranspiration guidelines for Computing Crop Water Requirements. FAO Irrigation and Drainage Paper 56, Rome, ItalyGoogle Scholar
  4. Barrett M (1997) Initial tier screening of pesticides for groundwater concentration using the SCI-GROW model. US Environmental Protection Agency, Washington, DC. Available at https://archive.epa.gov/oppefed1/web/html/scigrow_description.html
  5. Beissinger SR, Westphal MI (1998) On the use of demographic models of population viability in endangered species management. J Wildlife Manage 62:821–841Google Scholar
  6. Belluck DA, Benjamin SL, Dawson T (1991) Groundwater contamination by atrazine and its metabolites: risk assessment, policy and legal implications. In: Somasundaram L, Coats JR (eds) Pesticide transformation products: fate and significance in the environment. American Chemical Society, Washington, DC, pp 254–273Google Scholar
  7. Beltman WHJ, Adriaanse PI (1999) User’s manual TOXSWA 1.2. Simulation of pesticide fate in small surface waters. DLO Winand Staring Centre for Integrated Land, Soil and Water Research, Wageningen, the Netherlands, 112 p (SC-DLO Technical Document 54)Google Scholar
  8. Bereswill R, Golla B, Streloke M, Schulz R (2012) Entry and toxicity of organic pesticides and copper in vineyard streams: erosion rills jeopardize the efficiency of riparian buffer strips. Agr Ecosyst Environ 146:81–92Google Scholar
  9. Bilanin AJ, Teske ME, Barry JW, Ekblad RB (1989) AgDISP: the aircraft spray dispersion model, code development and experiment validation. T ASAE 32(1):327–334Google Scholar
  10. Boesten JJTI (2000) From laboratory to field: uses and limitations of pesticide behaviour models for the soil/plant system. Weed Res 40(1):123–138Google Scholar
  11. Boesten JJTI, Kopp H, Adriaanse PI, Brock TCM, Forbes VE (2007) Conceptual model for improving the link between exposure and effects in the aquatic risk assessment of pesticides. Ecotox Environ Safe 66:291–308Google Scholar
  12. Boivin A, Poulsen V (2017) Environmental risk assessment of pesticides: state of the art and prospective improvement from science. Environ Sci Pollut R 24:6889–6894Google Scholar
  13. Brock TCM, Arts GHP, Maltby L, Van den Brink PJ (2006) Aquatic risks of pesticides, ecological protection goals and common aims in EU legislation. Integr Environ Asses 2:20–46Google Scholar
  14. Burns LA (2006) The EXAMS-PRZM exposure simulation shell, user manual for EXPRESS. US Environmental Protection Agency, Athens, GA (EPA/600/R-06/095)Google Scholar
  15. Burns LA, Cline DM, Lassiter RP (1982) Exposure analysis modeling system (EXAMS): user manual and system documentation. US Environmental Protection Agency (EPA-600/3-82-023)Google Scholar
  16. Calabrese EJ, Baldwin LA (1993) Performing ecological risk assessments. Lewis Publishers, Boca Raton, FL, p 257Google Scholar
  17. Campbell KR, Bartell SM, Shaw JL (2000) Characterising aquatic ecological risks from pesticides using a diquat dibromide case study II: approaches using quotients and distributions. Environ Toxicol Chem 19(3):760–774Google Scholar
  18. Carriquiriborde P, Mirabella P, Waichman A, Solomon K, Van den Brink PJ, Maund S (2014) Aquatic risk assessment of pesticides in Latin America. Integr Environ Asses 10(4):539–542Google Scholar
  19. Carsel RF, Imhoff JC, Hummel PR, Cheplick JM, Donigian AS (1998) PRZM-3: a model for predicting pesticide and nitrogen fate in the crop root and unsaturated soil zones: user’s manual for release 3.12. National Exposure Research Laboratory. Office of Research and Development, US Environmental Protection Agency, Athens, GAGoogle Scholar
  20. Carsel RF, Imhoff JC, Hummel PR, Cheplick JM, Donigian JS (1997) PRZM-3, a model for predicting pesticide and nitrogen fate in crop root and unsaturated soil zones: user’s manual for release 3.0. Athens, GA, USEPAGoogle Scholar
  21. Carsel RF, Mulkey LA, Lorber MN, Baskin LB (1985) The pesticide root zone model (PRZM): a procedure for evaluating pesticide leaching threats to groundwater. Ecol Model 30(1–2):49–69Google Scholar
  22. Carsel RF, Smith CN, Mulkey LA, Dean JD, Jowise, P (1984) User’s manual for the pesticide root zone model (PRZM): release 1. Athens, GA: USEPA, 219 p (EPA-600/3-84-109)Google Scholar
  23. Clark JR, Lewis MA, Pait AS (1993) Pesticide inputs and risks in coastal wetlands. Environ Toxicol Chem 12:2225–2233Google Scholar
  24. Cornejo J, Hermisín MC, Celis R, Cox L (2005) Methods to determine sorption of pesticides and other organic compounds. In: Bened JA, Carpena RM (eds) Soil—water—solute process characterization. CRC Press, Boca Raton, pp 435–463Google Scholar
  25. Crowe AS, Mutch JP (1994) An expert systems approach for assessing the potential for pesticide contamination of ground water. Ground Water 32(3):487–498Google Scholar
  26. CWQG, Canadian Water Quality Guidelines (1999) Task force on water quality guidelines of the Canadian council of resource and environment ministers, Ottawa, ONGoogle Scholar
  27. De Laender F, van den Brink PJ, Janssen CR, Di Guard A (2014) The ChimERA project: coupling mechanistic exposure and effect models into an integrated platform for ecological risk assessment. Environ Sci Pollut R 21:6263–6267Google Scholar
  28. DeCoursey DG (1992) Developing models with more detail: do more algorithms give more truth? Weed Technol 6(2):709–715Google Scholar
  29. Del Re AAM, Trevisan M (1995) Selection criteria of xenobiotic leaching models in soil. Eur J Agron 4:465–472Google Scholar
  30. Devos Y, Gaugitsch H, Gray AJ, Maltby L, Martin J, Pettis JS, Romeis J, Rortais A, Schoonjans R, Smith J, Streissl F, Suter GW II (2016) Advancing environmental risk assessment of regulated products under EFSA’s remit. EFSA J 14(S1):s0508Google Scholar
  31. Di Guardo A, Gouin T, MacLeod M, Scheringer M (2018) Environmental fate and exposure models: advances and challenges in 21st century chemical risk assessment. Environ Sci-Proc Imp 20(1):58–71Google Scholar
  32. Di Guardo A, Hermens JLM (2013) Challenges for exposure prediction in ecological risk assessment. Integr Environ Assess Manag 9(3):4–14.  https://doi.org/10.1002/ieam.1442CrossRefGoogle Scholar
  33. Di HJ, Aylmore LAG (1997) Modeling the probabilities of groundwater contamination of pesticides. Soil Sci Soc Am J 61:17–23Google Scholar
  34. Dubus IG, Beulke S, Brown CD (2002) Calibration of pesticide leaching models: critical review and guidance for reporting. Pest Manag Sci 58:745–758 (online: 2002)PubMedGoogle Scholar
  35. ECOFRAM, Ecological Committee on FIFRA Risk Assessment Methods (1999) ECOFRAM Aquatic and Terrestrial Final Draft Reports, US environmental protection agency USEPA. Available at www.epa.gov/oppefed1/ecorisk/index.htm
  36. Engel T, Hoogenboom G, Jones JW, Wilkens PW (1997) Aegis/win: a computer program for the application of crop simulation models across geographical areas. Agron J 89(6):919–928Google Scholar
  37. FAO, Food and Agriculture Organization of the United Nations (1989) Revised guidelines on environmental criteria for the registration of pesticides. Rome, 51 pGoogle Scholar
  38. Finizio A, Villa S (2002) Environmental risk assessment for pesticides—a tool for decision making. Environ Impact Asses 22:235–248Google Scholar
  39. Flury M, Flüher H, Jury WA, Leuenberger J (1994) Susceptibility of soils to preferential flow of water: a field study. Water Resour Res 30(7):1945–1954Google Scholar
  40. FOCUS, Forum for Co-ordination of Pesticide Fate Models and their Use (2001a) FOCUS Surface Water Scenarios in the EU Evaluation Process under 91/414/EEC. Report of the FOCUS Working Group on Surface Water Scenarios, 221 p (EC Document Reference SANCO/4802/2001-rev.1)Google Scholar
  41. FOCUS, Forum for Co-ordination of Pesticide Fate Models and their Use (2001b) FOCUS Surface Water Scenarios in the EU Evaluation Process under 91/414/EEC. Report of the FOCUS Working Group on Surface Water Scenarios, 245 p (EC Document Reference SANCO/4802/2001-rev.2)Google Scholar
  42. FOCUS, Forum for Co-ordination of Pesticide Fate Models and their Use (2015) Generic Guidance for FOCUS Surface Water Scenarios. FOCUS Working Group on Surface Water Scenarios, version: 1.4. 367 pGoogle Scholar
  43. FOCUS, Forum for Co-ordination of Pesticide Fate Models and their Use (2000) FOCUS groundwater scenarios in the EU review of active substances. Ground water Scenarios Workgroup. FOCUS Report, European Commission, 202 p (EC Document Reference SANCO/321/2000 rev.2)Google Scholar
  44. FOCUS, Forum for Co-ordination of Pesticide Fate Models and their Use (2005) Landscape and mitigation factors in aquatic risk assessment. Vol. 1. Extended summary and recommendations. Report of the FOCUS working group on landscape and mitigation factors in ecological risk assessment, 133 p (EC Document reference SANCO/10422/2005)Google Scholar
  45. FOCUS, Forum for Co-ordination of Pesticide Fate Models and their Use (1995) Leaching models and EU registration, 123 p (EC document reference 4952/VI/95)Google Scholar
  46. FOCUS, Forum for Co-ordination of Pesticide Fate Models and their Use (1997) Surface water models and EU registration of plant protection products, 231 p (EC document reference 6476/VI/96)Google Scholar
  47. Forbes VE, Calow P, Sibly RM (2008) The extrapolation problem and how population modeling can help. Environ Toxicol Chem 27:1987–1994PubMedGoogle Scholar
  48. Forbes VE, Hommen U, Thorbek P, Heimbach F, Van den Brink P, Wogram J, Thulke H-H, Grimm V (2009) Ecological models in support of regulatory risk assessments of pesticides: developing a strategy for the future. Integr Environ Asses 5:167–172Google Scholar
  49. Foster GR, Lane LJ (1987) Beyond the USLE: advancements in soil erosion prediction. In: Boersma LL (ed) Future developments in soil science research. Soil Science of America Society, Madison, pp 315–326Google Scholar
  50. Fry M, Milians K, Young D, Zhong H (2014) Surface Water Concentration Calculator User Manual. Environmental Fate and Effects Division, Office of Pesticides, United States Environmental Protection Agency, 21 p (USEPA/OPP 734F14001)Google Scholar
  51. Garratt JA, Capri E, Trevisan M, Errera G, Richard M, Wilkins RM (2002) Parameterisation, evaluation and comparison of pesticide leaching models to data from a Bologna field site, Italy. Pest Manag Sci 58:3–20 (online: 2002)Google Scholar
  52. Ghirardello D, Morselli M, Otto S, Zanin G, Di Guardo A (2014) Investigating the need for complex versus simple scenarios to improve predictions of aquatic ecosystem exposure with the SoilPlus model. Environ Pollut 184:502–510PubMedGoogle Scholar
  53. Giannouli DD, Antonopoulos VZ (2015) Evaluation of two pesticide leaching models in an irrigated field cropped with corn. J Environ Manage 150:508–515PubMedGoogle Scholar
  54. Gilliom RJ (2007) Pesticides in U.S. streams and groundwater. Environ Sci Technol 41:3408–3414PubMedGoogle Scholar
  55. Girling AE, Tattersfield L, Mitchell GC, Crossland NO, Pascoe D, Blockwell SJ, Maund SJ, Taylor EJ, Wenzel A, Janssen CR, Jüttner I (2000) Derivation of predicted no-effect concentrations for lindane, 3,4-dichloroaniline, atrazine and copper. Ecotox Environ Safe 46:148–162Google Scholar
  56. Gonçalves CM, Da Silva JCGE, Alpendurada MF (2007) Evaluation of the pesticide contamination of groundwater sampled over two years from a vulnerable zone in Portugal. J Agr Food Chem 55(15):6227–6235Google Scholar
  57. Grimm V, Berger U, Bastiansen F, Eliassen S, Ginot V, Giske J, Goss-Custard J, Grand T, Heinz S, Huse G, Huth A, Jepsen JU, Jørgensen C, Mooij WM, Müller B, Pèer G, Piou C, Railsback SF, Robbins AM, Robbins MM, Rossmanith E, Rüger N, Strand E, Souissi S, Stillman RA, Vabø R, Visser U, DeAngelis DL (2006) A standard protocol for describing individual-based and agent-based models. Ecol Model 198:115–126Google Scholar
  58. Hageman KJ, Simonich SL, Campbell DH, Wilson GR, Landers DH (2006) Atmospheric deposition of current-use and historic-use pesticides in snow at national parks in the Western United States. Environ Sci Technol 40:3174–3180PubMedGoogle Scholar
  59. Hallberg GR (1989) Pesticide pollution of groundwater in the humid Unites States. Agr Ecosyst Environ 26:299–367Google Scholar
  60. Harman-Fetcho JA, Hapeman CJ, McConnell LL, Potter TL, Rice CP, Sadeghi AM, Smith RD, Bialek K, Sefton KA, Schaffer BA (2005) Pesticide occurrence in selected South Florida canals and Biscayne Bay during high agricultural activity. J Agr Food Chem 53:6040–6048Google Scholar
  61. Hart A (2001) Probabilistic risk assessment for pesticides in Europe: implementation and research needs. European workshop on probabilistic risk assessment for the environmental impacts of plant protection products. The NetherlandsGoogle Scholar
  62. Hoffman RS, Capel PD, Larson SJ (2000) Comparison of pesticides in eight U.S. urban streams. Environ Toxicol Chem 19:2249–2258Google Scholar
  63. Hornsby AG, Wauchope RD, Herner AE (1996) Pesticide properties in the environment. Springer-Verlag, New York, NYGoogle Scholar
  64. Hull RN, Kleywegt S, Schroeder J (2015) Risk-based screening of selected contaminants in the Great Lakes Basin. J Great Lakes Res 41:238–245Google Scholar
  65. IBAMA, Instituto Brasileiro do Meio Ambiente e dos Recursos Naturais Renováveis (2012) Avaliação de risco ambiental de agrotóxicos no Ibama. DIQUA/CGASQ, Brasília, IBAMA [Portuguese]. Available at http://ibama.gov.br/phocadownload/agrotoxicos/avaliacao/2017/2017-07-25-avaliacao_risco_ambiental_agrotoxicos_ibama_2012-ARA.pdf
  66. Jarvis NJ (1991) MACRO—A model of water movement and solute transport in macroporous soils. Uppsala: Swedish University of Agricultural Sciences, 58 p (Reports and Dissertations, 9)Google Scholar
  67. Jarvis NJ (1994) The MACRO model (Version 3.1). Technical description and sample simulations. Department of Soil Science, Swedish University of Agricultural Science, Uppsala, Sweden, 51 p (Reports and Dissertations 19)Google Scholar
  68. Jarvis NJ, Bergström LF, Brown CD (1995) Pesticide leaching models and their use for management purposes. In: Roberts TR, Kearney PC (eds) Environmental behaviour of agrochemicals. Wiley, New York, pp 185–220Google Scholar
  69. Jiang L, Huang J, Liang L, Zheng PY, Yang H (2008) Mobility of prometryne in soil as affected by dissolved organic matter. J Agr Food Chem 56(24):11933–11940Google Scholar
  70. Klein M (1995) PELMO: pesticide leaching model. Fraunhofer Institute, Schmallenberg, p 103Google Scholar
  71. Klein M (2011) User Manual PELMO (Pesticide Leaching Model) Version 4.0; Fraunhofer Institute: Schmallenberg, GermanyGoogle Scholar
  72. Koskinen WC, Rice PJ, Anhalt JA, Sakaliene O, Moorman TB, Arthur EL (2002) Sorption-desorption of “aged” sulfonylaminocarbonyltriazolinone herbicides in soil. J Agr Food Chem 50:5368–5372Google Scholar
  73. Kreuger J (1998) Pesticides in stream water within an agricultural catchment in southern Sweden, 1990–1996. Sci Total Environ 216:227–251PubMedGoogle Scholar
  74. Laabs V, Amelung W, Pinto A, Altstaedt A, Zech W (2000) Leaching and degradation of com and soybean pesticides in an Oxisol of the Brazilian Cerrados. Chemosphere 41:1441–1449PubMedGoogle Scholar
  75. Laabs V, Amelung W, Pinto A, Zech W (2002a) Fate of pesticides in tropical soils of Brazil under field conditions. J Environ Qual 31(1):256–268PubMedGoogle Scholar
  76. Laabs V, Amelung W, Pinto A, Zech W, Wantzen M, da Silva CJ, Wolfgang Zech W (2002b) Pesticides in surface water, sediment, and rainfall of the northeastern Pantanal Basin. Brazil. J Environ Qual 31(5):1636–1648PubMedGoogle Scholar
  77. Larsbo M, Jarvis NJ (2005) Simulating solute transport in a structured field soil: uncertainty in parameter identification and predictions. J Environ Qual 34(2):621–634PubMedGoogle Scholar
  78. Larsbo M, Jarvis NJ (2003) MACRO 5.0. A model of water flow and solute transport in macroporous soil. Technical Description. Department of Soil Sciences, Swedish University of Agricultural Sciences, UppsalaGoogle Scholar
  79. Leistra M, van der Linden AMA, Boesten JJTI, Tiktak A, van den Berg F (2001) PEARL model for pesticide behaviour and emissions in soil-plant systems: description of the processes, Alterra Rep 13. Wageningen University and Research Centre, Wageningen, The Netherlands, p 115Google Scholar
  80. Leistra M, van der Linden, AMA, Boesten JJTI, Tiktak A, van den Berg F (2000) PEARL Model for Pesticide Behaviour and Emissions in Soil-plant Systems. Description of Processes. Alterra Report 013. Alterra, Wageningen, The NetherlandsGoogle Scholar
  81. Lennartz B (1999) Variation of herbicide transport parameters within a single field and its relation to water flux and soil properties. Geoderma 91(3–4):327–345Google Scholar
  82. Leu C, Singer H, Stamm C, Muller SR, Schwarzenbach RP (2004) Variability of herbicide losses from 13 fields to surface water within a small catchment after a controlled herbicide application. Environ Sci Technol 38:3835–3841PubMedGoogle Scholar
  83. Levanon D, Codling EE, Meisinger JJ, Starr JL (1993) Mobility of agrochemicals through soil from two tillage systems. J Environ Qual 22(1):155–161Google Scholar
  84. Li K, Xing B, Torello WA (2005) Effect of organic fertilizers derived dissolved organic matter on pesticide sorption and leaching. Environ Pollut 134(2):187–194PubMedGoogle Scholar
  85. Lorenz S, Rasmussen JJ, Süß A, Kalettka T, Golla B, Horney P, Stähler M, Hommel B, Schäfer RB (2017) Specifics and challenges of assessing exposure and effects of pesticides in small water bodies. Hydrobiologia 793:213–224Google Scholar
  86. Malaj E, von der Ohe PC, Grote M, Kühne R, Mondy CP, Usseglio-Polatera P, Brack W, Schäfer RB (2014) Organic chemicals jeopardize the health of freshwater ecosystems on the continental scale. P Natl Acad Sci USA 111:9549–9554Google Scholar
  87. Manahan SE (ed) (1992) Toxicological chemistry, 2nd edn. Lewis Publishers, Ann Arbor, MIGoogle Scholar
  88. Margni M, Rossier D, Crettaz P, Jolliet O (2002) Life cycle impact assessment of pesticides on human health and ecosystems. Agr Ecosyst Environ 93:379–392Google Scholar
  89. Matallo MB, Spadotto CA, Luchini LC, Gomes MAF (2005) Sorption, degradation, and leaching of tebuthiuron and diuron in soil columns. J Environ Sci Heal B 40(1):39–43Google Scholar
  90. Matsumura F (ed) (1985) Toxicology of insecticides, 1st edn. Plenum Press, New York, p 598Google Scholar
  91. Meyer MT, Kalkoff SJ, Scribner EA (2006) Comparison between the transport of isoxaflutole and its degradates to triazine and acetanilide herbicides in ten Iowa rivers. Proceedings of the 231st National Meeting of the American Chemical Society, AtlantaGoogle Scholar
  92. Miyamoto M, Tanaka H, Katagi T (2008) Ecotoxicological risk assessment of pesticides in aquatic ecosystems. R&D Report, Sumitomo Kagaku, p 18pGoogle Scholar
  93. Mullins JA, Carsel RF, Scarbrough JE, Ivery AM (1993) PRZM-2, a model for predicting pesticide fate in the crop root and unsaturated zones: user’s manual for release 2.0. Athens: United States Environmental Protection Agency (EPA/600/R-93/046)Google Scholar
  94. Munns Jr WR (2006) Assessing risks to wildlife populations from multiple stressors: overview of the problem and research needs. Ecol Soc 11:23Google Scholar
  95. NRC, National Research Council (1983) Risk assessment in the federal government: managing the process. National Academy Press, Washington DCGoogle Scholar
  96. NRC, National Research Council (1996) Understanding risk: informing decisions in a democratic society. National Academy Press, Washington DCGoogle Scholar
  97. OECD, Organization for Economic Co-operation and Development (1982) OECD Hazard Assessment Project, STEP System Group: final report. StockholmGoogle Scholar
  98. OECD, Organization for Economic Co-operation and Development (1999) Indirect load. In: OECD (ed), Annex 2. Report of phase 1 of the aquatic risk indicators project, pp 28–32Google Scholar
  99. Padilla L, Winchell M, Peranginangin N, Grant S (2017) Development of groundwater pesticide exposure modeling scenarios for vulnerable spring and winter wheat-growing areas. Integr Environ Asses 13(6):992–1006Google Scholar
  100. Papastergiou A, Papadopoulou-Mourkidou E (2001) Occurrence and spatial and temporal distribution of pesticide residues in groundwater of major corn-growing areas of Greece. Environ Sci Technol 35:63–69PubMedGoogle Scholar
  101. Parker RD, Jones RD, Nelson HP (1995) GENEEC: A screening model for pesticide environmental exposure assessment. In: Proceedings… international exposure symposium on water quality modeling, American Society of Agricultural Engineers, pp 485–490Google Scholar
  102. Pastorok RA, Bartell SM, Ferson S (2002) Ecological modeling in risk assessment: chemical effects on populations, ecosystems, and landscapes. Lewis, Boca Raton, FL, USAGoogle Scholar
  103. Pennell KD, Hornsby AG, Jessup RE, Rao PSC (1990) Evaluation of five simulation models for predicting aldicarb and bromide behavior under field conditions. Water Resour Res 26(11):2679–2693Google Scholar
  104. Posthuma L, Suter II GW, Traas TP (eds) (2002) Species sensitivity distributions in ecotoxicology. Lewis publishersGoogle Scholar
  105. Rabiet M, Margoum C, Gouy V, Carluer N, Coquery M (2010) Assessing pesticide concentrations and fluxes in the stream of a small vineyard catchment—effect of sampling frequency. Environ Pollut 158:737–748PubMedGoogle Scholar
  106. Rao PSC, Davidson JM, Hammond LC (1976) Estimation of nonreactive and reactive solute front locations in soils. In: Hazard: wastes res Symp 1976. Proc., pp 235–241 (EPA-600/19-76-015)Google Scholar
  107. Rao PSC, Hornsby AG, Jessup RE (1985) Indices for ranking the potential for pesticide contamination of groundwater. Soil Crop Sci Soc Fl 44:1–8Google Scholar
  108. Reichenberger S, Amelung W, Laabs V, Pinto A, Totsche KU, Zech W (2002) Pesticide displacement along preferential flow pathways in a Brazilian Oxisol. Geoderma 110(1–2):63–86Google Scholar
  109. Rice PJ, Rice PJ, Arthur EL, Barefoot AC (2007) Advances in pesticide environmental fate and exposure assessments. J Agric Food Chem 55:5367–5376PubMedGoogle Scholar
  110. Roller JA, Van den Berg F, Adriaanse PI (2003) Surface water scenarios help (SWASH) Version 2.0. Technical Documentation version 1.3. Alterra-rapport 508. Wageningen, Alterra Green World Research, the NetherlandsGoogle Scholar
  111. Russell MH, Layton RJ, Tillotson PM (1994) The use of pesticide leaching models in a regulatory setting: an industrial perspective. J Environ Sci Heal A 29:1105–1116Google Scholar
  112. Schmolke A, Thorbek P, Chapman P, Grimm V (2010) Ecological models and pesticide risk assessment: current modeling practice. Environ Toxicol Chem 29(4):1006–1012PubMedGoogle Scholar
  113. Schulz R (2004) Field studies on exposure, effects, and risk mitigation of aquatic nonpoint-source insecticide pollution: a review. J Environ Qual 33(2):419–448PubMedGoogle Scholar
  114. Scorza PJ Jr, Boesten JJTI (2005) Simulation of pesticide leaching in a cracking clay soil with the PEARL model. Pest Manag Sci 61:432–448Google Scholar
  115. Scorza RP (2002) Pesticide leaching in macroporous clay soils: field experiment and modeling. 234 f. Thesis (Doctoral). Wageningen University and Research Centre, WageningenGoogle Scholar
  116. Scott GI, Baughman DS, Trim AH, Dee JC (1987) Lethal and sublethal effects of insecticides commonly found in nonpoint source agricultural runoff to estuarine fish and shellfish. In: Vernberg WB, Calabrese A, Thurberg FP, Vernberg FJ (eds) Pollution physiology of estuarine organisms. University of South Carolina Press, Columbia, SC, pp 251–273Google Scholar
  117. Seiler AP, Brenneisen P, Green DH (1992) Benefits and risks of plant protection products—possibilities of protecting drinking water: case atrazine. Water Supp 10:31–42Google Scholar
  118. SETAC, Society for Environmental Toxicology and Chemistry (1994) Pesticide risk and mitigation. Final Report of the Aquatic Risk Assessment and Mitigation Dialog Group, SETAC Foundation for Environmental Education, Pensacola, FL, USA, p 220Google Scholar
  119. SETAC, Society of Environmental Toxicology and Chemistry (1987) Research priorities in environmental risk assessment. Report of a workshop held in Breckenridge, CO. Washington, DC: SETACGoogle Scholar
  120. Solomon K (2010) Ecotoxicological risk assessment of pesticides in the environment. Hayes’ Handbook of Pesticide Toxicology. Chapter 56:1191–1217.  https://doi.org/10.1016/B978-0-12-374367-1.00056-2CrossRefGoogle Scholar
  121. Solomon KR (1996) Overview of recent developments in ecotoxicological risk assessment. Risk Anal 16(5):627–633PubMedGoogle Scholar
  122. Solomon KR, Sibley P (2002) New concepts in ecological risk assessment: where do we go from here? Mar Pollut Bull 44:279–285PubMedGoogle Scholar
  123. Song NH, Chen L, Yang H (2008) Effect of dissolved organic matter on mobility and activation of chlorotoluron in soil and wheat. Geoderma 146(1/2):344–352Google Scholar
  124. Spadotto CA, Hornsby AG (2003) Organic compounds in the environment: soil sorption of acidic pesticides: modeling pH effects. J Environ Qual 32(3):949–956PubMedGoogle Scholar
  125. Spadotto CA, Hornsby AG, Gomes MAF (2005) Sorption and leaching potential of acidic herbicides in Brazilian soils. J Environ Sci Heal B 40(1):29–37Google Scholar
  126. Spadotto CA, Mingoti R (2014) Base técnico-científica do ARAquá 2014: software para avaliação de risco ambiental de agrotóxico. Campinas: Embrapa Gestão Territorial, 6 p (Embrapa Gestão Territorial. Circular Técnica, 2) (Portuguese)Google Scholar
  127. Spadotto CA, Moraes DAC, Ballarin AW, Laperuta Filho J, Colenci RA (2010) ARAquá: software para avaliação de risco ambiental de agrotóxico. Campinas: Embrapa Monitoramento por Satélite, 15 p (Boletim de Pesquisa e Desenvolvimento, 7) (Portuguese)Google Scholar
  128. Starfield AM (1997) A pragmatic approach to modeling for wildlife management. J Wildlife Manage 61:261–270Google Scholar
  129. Stehle S, Schulz R (2015) Agricultural insecticides threaten surface waters at the global scale. P Natl Acad Sci USA 112:5570–5575Google Scholar
  130. Stephenson GR, Solomon KR (2007) Pesticides and the environment. Canadian Network of Toxicology Centres Press Guelph, Ontario, CanadaGoogle Scholar
  131. Stoorvogel JJ (1995) Linking GIS and models: structure and operationalization for a Costa Rican case study. Neth J Agr Sci 43:19–29Google Scholar
  132. Strassemeyer J, Daehmlow D, Dominic AR, Lorenz S, Golla B (2017) SYNOPS-WEB, an online tool for environmental risk assessment to evaluate pesticide strategies on field level. Crop Prot 97:28–44Google Scholar
  133. Streissl F (2010) Potential role of population modeling in the regulatory context of pesticide authorization. In: Thorbek P, Forbes VE, Heimbach F, Hommen U, Thulke H-H, Van den Brink PJ, Wogram J, Grimm V (eds) Ecological Models for Regulatory Risk Assessments of Pesticides: Developing a Strategy for the Future. SETAC, Pensacola, FL, USA, pp 97–104Google Scholar
  134. Suter GW, Barnthouse LW, Bartell SM, Mill T, Mackay D, Patterson S (1993) Ecological risk assessment. Lewis Publishers, Boca Raton, FL, p 538Google Scholar
  135. Taghavi L, Probst J, Merlina G, Marchand A, Durbe G, Probst A (2010) Flood event impact on pesticide transfer in a small agricultural catchment (Montoussé at Auradé, south west France). Int J Environ An Ch 90:390–405Google Scholar
  136. Teklu BM, Adriaanse PI, Ter Horst MMS, Deneer JW, Van den Brink PJ (2015) Surface water risk assessment of pesticides in Ethiopia. Sci Total Environ 508:566–574PubMedGoogle Scholar
  137. Teske ME, Bird SL, Esterly DM, Curbishley TB, Ray SL, Perry SG (2000) AgDRIFT: a model for estimating near-field spray drift from aerial applications. Environ Toxicol Chem 21(3):659–671Google Scholar
  138. Tiktak A, Boesten JJTI, Egsmose M, Gardi C, Klein M, Vanderborght J (2013) European scenarios for exposure of soil organisms to pesticides. J Environ Sci Heal B 48(9):703–716Google Scholar
  139. Tiktak A, Boesten JJTI, van der Linden AMA, Vanclooster M (2006) Mapping ground water vulnerability to pesticide leaching with a process-based metamodel of EuroPEARL. J Environ Qual 35:1213–1226PubMedGoogle Scholar
  140. Tiktak A, van den Berg F, Boesten JJTI, van Kraalingen D, Leistra M and van der Linden AMA (2000) Manual of FOCUS PEARL version 1.1.1, RIVM Rep 711 401 008, RIVM, Bilthoven, The Netherlands, 144 pGoogle Scholar
  141. Tiktak A, Van den Berg F, Boesten JJTI, Van Kraalingen D, Leistra M, Van der Linden AMA (2002) Manual of FOCUS PEARL version 1.1.1. Bilthoven: RIVM/AlterraGoogle Scholar
  142. Tiktak A, van der Linden AMA, Boesten JJTI (2003) The GeoPEARL model: description, applications and manual. RIVM Report 716601007. RIVM, Bilthoven, The NetherlandsGoogle Scholar
  143. UNEP, United Nations Environment Program (2009) Existing sources and approaches to risk assessment and management of pesticides, particular needs of developing countries and countries with economies in transition, 95 pGoogle Scholar
  144. USDA, United States Department of Agriculture, Soil Conservation Service (1991) Peak discharge (other methods), study guide. Engineering, Hydrology Training Series, Module 206D, 27 pGoogle Scholar
  145. Urban DJ, Cook NJ (1986) Standard evaluation procedure for ecological risk assessment. Springfield, VA: National Technical Information Service. Hazard Evaluation Division, Office of Pesticide Programs, US Environmental Protection Agency, Washington, DC (NTIS PD 86-247-657)Google Scholar
  146. USEPA, United State Environmental Protection Agency (1979) Toxic substances control act, discussion of premanufacture testing policies and technical issues: request for comment. Fed Reg 44:16240–16292Google Scholar
  147. USEPA, United States Environmental Protection Agency (1992) Framework for ecological risk assessment. Risk Assessment Forum. Washington, DC (EPA/630/R-92/001).Google Scholar
  148. USEPA, United States Environmental Protection Agency (1998) Guidelines for ecological risk assessment. Risk Assessment Forum. Washington, DC (EPA/630/R-95/002F)Google Scholar
  149. USEPA, United States Environmental Protection Agency (2001) Risk assessment guidance for superfund: volume III—part A, process for conducting probabilistic risk assessment. Washington, DC (EPA 540-R-02-002)Google Scholar
  150. USEPA, United States Environmental Protection Agency (2007) Tier I rice model—version 1.0—guidance for estimating pesticide concentrations in rice paddies. Washington, DC: USEPA. Available at https://www.epa.gov/pesticide-science-and-assessing-pesticide-risks/tier-i-rice-model-version-10-guidance-estimating
  151. USEPA, United States Environmental Protection Agency (2008) FIRST: a screening model to estimate pesticide concentrations in drinking water version 1.1.1. Available at https://archive.epa.gov/epa/pesticide-science-and-assessing-pesticide-risks/first-version-111-description.html
  152. USEPA, United States Environmental Protection Agency (2009) User’s guide and technical documentation KABAM version 1.0 (Kow (based) Aquatic BioAccumulation Model). Washington, DC: USEPA. 123 pGoogle Scholar
  153. USEPA, United States Environmental Protection Agency (2011a) Guidance for the development of conceptual models for a problem formulation developed for registration review, Washington. Available at https://www.epa.gov/pesticide-science-and-assessing-pesticide-risks/guidance-development-conceptual-models-problem
  154. USEPA, United States Environmental Protection Agency (2011b) Integrated risk information system (IRIS) glossary. Office of Research and Development/National Center for Environmental Assessment/Integrated Risk Information System. Available at https://www.epa.gov/iris
  155. USEPA, United States Environmental Protection Agency (2012) Technical overview of ecological risk assessment: risk characterization. Available at https://www.epa.gov/pesticide-science-and-assessing-pesticide-risks/technical-overview-ecological-risk-assessment-risk
  156. USEPA, United States Environmental Protection Agency (2016) Pesticide in Water Calculator User Manual for Versions 1.50 and 1.52. Washington, DC: USEPA, 23 pGoogle Scholar
  157. USEPA, United States Environmental Protection Agency (2017) Models for pesticide risk assessment. Available at https://www.epa.gov/pesticide-science-and-assessing-pesticide-risks/models-pesticide-risk-assessment
  158. USGS, United States Geological Survey (2006) National water quality assessment (NAWQA) program. Available at http://pubs.usgs.gov/fs/2006/3101/
  159. Van de Zande JC, Porskamp HAJ, Michielsen JMGP, Holterman HJ, Huijsmans JMF (2000) Classification of spray applications for driftability, to protect surface water. Asp Appl Biol 57:57–64Google Scholar
  160. Van den Brink P, Baveco JM, Verboom J, Heimbach F (2007) An individual-based approach to model spatial population dynamics of invertebrates in aquatic ecosystems after pesticide contamination. Environ Toxicol Chem 26:2226–2236PubMedGoogle Scholar
  161. Van den Brink PJ, Baird DJ, Baveco JMH, Focks A (2013) The use of traits-based approaches and eco(toxico)logical models to advance the ecological risk assessment framework for chemicals. Integr Environ Asses 9:47–57Google Scholar
  162. Van Jaarsveld JHA, Van Pul WAJ (1999) Modeling of atmospheric transport and deposition of pesticides. Water Air Soil Poll 115(1–4):167–182Google Scholar
  163. Vanclooster M, Boesten JJTI, Tiktak A, Jarvis NJ, Kroes JG, Munoz-Carpena R, Clothier BE, Green SR (2004) On the use of unsaturated flow and transport models in nutrient and pesticide management. In: Feddes RA, de Rooij GH, van Dam JC (eds) Unsaturated-zone modelling: progress, challenges and applications, vol 6, pp 331–361. Wageningen UR Frontis Series, Wagenignen University: Wagenignen, the NetherlandsGoogle Scholar
  164. Wauchope RD (1978) The pesticide content of surface water draining from agricultural fields—a review. J Environ Qual 7:459–472Google Scholar
  165. Westman WE (1985) Ecology: impact assessment and environmental planning. Wiley, New YorkGoogle Scholar
  166. White K, Biscoe M, Fry M, Hetrick J, Orrick G, Peck C, Ruhman M, Shelby A, Thurman N, Villanueva P, Young DF (2016) Development of a conceptual model to estimate pesticide concentrations for human health drinking water and guidance on conducting ecological risk assessments for the use of pesticides on rice. USEPA, Washington DC, p 112Google Scholar
  167. WHO, World Health Organization (2004) IPCS Harmonization Project–IPCS Risk Assessment Terminology, GenevaGoogle Scholar
  168. Williams PRD, Hubbell B, Weber E, Fehrenbacher C, Hrdy D, Zartarian V (2010) An Overview of Exposure Assessment Models Used by the US Environmental Protection Agency. In Hanrahan, G. Modelling of Pollutants in Complex Environmental Systems, Volume II. ILM Publications, pp 61–131Google Scholar
  169. Wogram J (2010) Regulatory challenges for the potential use of ecological models in risk assessments of plant protection products. In: Thorbek P, Forbes VE, Heimbach F, Hommen U, Thulke H-H, Van den Brink PJ, Wogram J, Grimm V (eds) Ecological models for regulatory risk assessments of pesticides: developing a strategy for the future. SETAC, Pensacola, FL, USA, pp 27–32Google Scholar
  170. WWF, World Wildlife Fund (1992) Improving aquatic risk assessment under FIFRA: report of the aquatic effects dialogue group, pp 23–24Google Scholar
  171. Young D (2016) The variable volume water model—revision A. Environmental Fate and Effects Division, Office of Pesticide Programs, U.S. Environmental Protection Agency, 36 p (USEPA/OPP 734S16002)Google Scholar
  172. Young DF (2013) Pesticides in flooded applications model (PFAM): conceptualization, development, evaluation, and user guide. Washington, DC: USEPA, 61 p (EPA-734-R-13-001)Google Scholar

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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Brazilian Agricultural Research Corporation, Embrapa, Parque Estação Biológica, S/N, Av. W3 Norte (Final)BrasiliaBrazil
  2. 2.Brazilian Agricultural Research Corporation, Embrapa TerritorialCampinasBrazil

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