dynamiCROP :: dynamic assessment of human exposure from pesticide uptake into plants
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dynamiCROP Model

Model Summary and Quick User Guide
arrow   dynamiCROP is a dynamic plant uptake model for quantification human exposure and subsequent health impacts caused by the direct application of pesticides onto food crops and subsequent ingestion intake. The modelling framework is based on a crop-specific multi-compartment system and analyzes the mass evolution in the different compartments over time.
While the model domain is aspatial, any assessment can be performed in a spatial differentiated way according to the underlying input parameters, such as application pattern, crop production area, and population, or via integration of a parametric version into a spatial modeling framework. (see dynamiCROP publications)		 dynamiCROP structure
Quick user guide: 1) Get dynamiCROP model and substance files (get dynamiCROP). 2) Open model file and follow instructions given in sheet 'version', lines 25-30. 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
arrow   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. (in press) (externlinkURL)

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)

Steingrímsdottír, M.M., Petersen, A., Fantke, P., 2018. A screening framework for pesticide substitution in agriculture. Journal of Cleaner Production 192: 306-315. (externlinkURL)

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)

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)

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)

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)

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)

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)

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)

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)

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)

Fantke, P., Juraske, R., 2013. Variability of pesticide dissipation half-lives in plants. Environmental Science & Technology 47(8): 3548-3562. (externlinkURL)

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)

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)

Fantke, P., Friedrich, R., Jolliet, O., 2012. Health impact and damage cost assessment of pesticides in Europe. Environment International 49: 9-17. (externlinkURL)

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)

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)

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)

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)