dynamiCROP :: plant uptake model for dynamic assessment of human exposure from pesticide residues in food crops
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dynamiCROP Model

Model Summary and Quick User Guide
arrow   dynamiCROP is a dynamic plant uptake model for quantifying human exposure and related health impacts caused by pesticide application to food crops and subsequent ingestion intake of residues. The framework is based on a crop-specific multi-compartment system and analyzes the mass evolution across compartments over time. The models provides factors per kg applied or per kg emitted into individual compartments. While the model is aspatial, any assessment can be performed in a spatial context by adapting the underlying input parameters, such as application pattern, crop production area, and population, or via integration of a parametric version into a spatial model. (see dynamiCROP publications) dynamiCROP structure
Quick user guide: (1) Get dynamiCROP model and substance files. Select "dynamiCROP [version] for LCA" to calculate factors per kg emitted for use in life cycle assessment (LCA). (2) Open model file and follow instructions given in sheet 'version', rows 29 and below. (3) Modify or enter substance data in sheet 'data.substances' and/or plant and system data in sheet 'data.system' and/or exposure and effect data in sheet 'data.other'. (4) Run in sheet 'run' for specific crop selected in cell 'D8' either single substance selected in cell 'D4' or multiple substances selected in cells 'D4' (first substance) and 'D6' (last substance). (5) Results are stored for all runs in sheet 'results', line 13 and below. Detailed matrix results and plots are provided for the latest substance run in sheet 'run'.
Technical Framework [show/hide]
Publications
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  1. Gentil-Sergent. C., Basset-Mens. C., Renaud-Gentié. C., Mottes. C., Melero. C., Launay. A., Fantke, P., 2022. Introducing ground cover management in pesticide emission modeling. Integrated Environmental Assessment Management 18, 274-288. (externlinkURL)
  2. Xiao. S., Li. Z., Fantke. P., 2021. Improved plant bioconcentration modeling of pesticides: The role of periderm dynamics. Pest Management Science 77, 5096-5108. (externlinkURL)
  3. Gentil-Sergent, C., Basset-Mens, C., Gaab, J., Mottes, C., Melero, C., Fantke, P., 2021. Quantifying pesticide emission fractions for tropical conditions. Chemosphere 275, 130014. (externlinkURL)
  4. Luo, L., Dong, L., Huang, Q., Ma, S., Fantke, P., Li, J., Jiang, J., Fitzgerald, M., Jane Yang, Jia, Z., et al., 2021. Detection and risk assessments of multi-pesticides in 1771 cultivated herbal medicines by LC/MS-MS and GC/MS-MS. Chemosphere 262: 127477. (externlinkURL)
  5. Xiao, S., Gong, Y., Li, Z., Fantke, P., 2021. Improving pesticide uptake modeling into potatoes: Considering tuber growth dynamics. Journal of Agricultural and Food Chemistry 69, 3607-3616. (externlinkURL)
  6. Gentil, C., Basset-Mens, C., Manteaux, S., Mottes, C., Maillard, E., Biard, Y., Fantke, P., 2020. Coupling pesticide emission and toxicity characterization models for LCA: Application to open-field tomato production in Martinique. Journal of Cleaner Production 227: 124099. (externlinkURL)
  7. Gentil, C., Fantke, P., Mottes, C., Basset-Mens, C., 2020. Challenges and ways forward in pesticide emission and toxicity characterization modeling for tropical conditions. The International Journal of Life Cycle Assessment 25: 1290-1306. (externlinkURL)
  8. Pang, N., Fan, X., Fantke, P., Zhao, S., Hu, J., 2020. Dynamics and dietary risk assessment of thiamethoxam in wheat, lettuce and tomato using field experiments and computational simulation. Environmental Pollution 256: 113285. (externlinkURL)
  9. Fantke, P., 2019. Modelling the environmental impacts of pesticides in agriculture. In: Weidema, B.P. (Ed.) Assessing the Environmental Impact of Agriculture. Burleigh Dodds Science Publishing, Cambridge, United Kingdom. pp. 177-228. (externlinkURL)
  10. Peña, N., Knudsen, M.T., Fantke, P., Antón, A., Hermansen, J.E., 2019. Freshwater ecotoxicity assessment of pesticide use in crop production: Testing the influence of modeling choices. Journal of Cleaner Production 209: 1332-1341. (externlinkURL)
  11. Steingrímsdottír, M.M., Petersen, A., Fantke, P., 2018. A screening framework for pesticide substitution in agriculture. Journal of Cleaner Production 192: 306-315. (externlinkURL)
  12. Ryberg, M.W., Rosenbaum, R.K., Mosqueron, L., Fantke, P., 2018. Addressing bystander exposure to agricultural pesticides in life cycle impact assessment. Chemosphere 197: 541-549. (externlinkURL)
  13. Peña, N., Antón, A., Kamilaris, A., Fantke, P., 2018. Modelling ecotoxicity impacts in vineyard production: Addressing spatial differentiation for copper fungicides. Science of the Total Environment 616-617: 796-804. (externlinkURL)
  14. Feng, X., Wang, K., Pan, L., Xu, T., Zhang, H., Fantke, P., 2018. Measured and modeled residue dynamics of famoxadone and oxathiapiprolin in tomato fields. Journal of Agricultural and Food Chemistry 66: 8489-8495. (externlinkURL)
  15. Doucette, W., Shunthirasingham, C., Dettenmaier, E., Zaleski, R., Fantke, P., Arnot, J., 2018. A review of measured bioaccumulation data in terrestrial plants for organic chemicals: metrics, variability and the need for standardized measurement protocols. Environmental Toxicology and Chemistry 37: 21-33. (externlinkURL)
  16. Fantke, P., Antón, A., Grant, T., Hayashi, K., 2017. Pesticide emission quantification for life cycle assessment: A global consensus building process. Journal of Life Cycle Assessment, Japan 13: 245-251. (externlinkURL)
  17. Fantke, P., Arnot, J.A., Doucette, W.J., 2016. Improving plant bioaccumulation science through consistent reporting of experimental data. Journal of Environmental Management 181: 374-384. (externlinkURL)
  18. Fantke, P., Jolliet, O., 2016. Life cycle human health impacts of 875 pesticides. The International Journal of Life Cycle Assessment 21(5): 722-733. (externlinkURL)
  19. Jacobsen, R.E., Fantke, P., Trapp, S., 2015. Analysing half-lives for pesticide dissipation in plants. SAR and QSAR in Environmental Research 26(4): 325-342. (externlinkURL)
  20. Fantke, P., Gillespie, B., Juraske, R., Jolliet, O., 2014. Estimating half-lives for pesticide dissipation from plants. Environmental Science & Technology 48(15): 8588-8602. (externlinkURL)
  21. Fantke, P., Juraske, R., 2013. Variability of pesticide dissipation half-lives in plants. Environmental Science & Technology 47(8): 3548-3562. (externlinkURL)
  22. Fantke, P., Wieland, P., Wannaz, C., Friedrich, R., Jolliet, O., 2013. Dynamics of pesticide uptake into plants: From system functioning to parsimonious modeling. Environmental Modelling & Software 40: 316-324. (externlinkURL)
  23. Fantke, P., Wieland, P., Juraske, R., Shaddick, G., Sevigné, E., Friedrich, R., Jolliet, O., 2012. Parameterization models for pesticide exposure via crop consumption. Environmental Science & Technology 46(23): 12864-12872. (externlinkURL)
  24. Fantke, P., Friedrich, R., Jolliet, O., 2012. Health impact and damage cost assessment of pesticides in Europe. Environment International 49: 9-17. (externlinkURL)
  25. Itoiz, E., Fantke, P., Juraske, R., Kounina, A., Antón Vallejo, A., 2012. Deposition and residues of azoxystrobin and imidacloprid on greenhouse lettuce with implications for human consumption. Chemosphere 89(9): 1034-1041. (externlinkURL)
  26. Juraske, R., Fantke, P., Romero Ramírez, A.C., González, A., 2012. Pesticide residue dynamics in passion fruits: Comparing field trial and modeling results. Chemosphere 89(7): 850-855. (externlinkURL)
  27. Fantke, P., Juraske, R., Antón, A., Friedrich, R., Jolliet, O., 2011. Dynamic multicrop model to characterize impacts of pesticides in food. Environmental Science & Technology 45(20): 8842-8849. (externlinkURL)
  28. Fantke, P., Charles, R., de Alencastro, L.F., Friedrich, R., Jolliet, O., 2011. Plant uptake of pesticides and human health: Dynamic modeling of residues in wheat and ingestion intake. Chemosphere 85(10): 1639-1647. (externlinkURL)