Modelling the environmental fate of the herbicide glyphosate in soil lysimeters

Christine Klier, Sabine Grundmann, Sebastian Gayler, Eckart Priesack

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

In a risk assessment study the environmental fate of the herbicide glyphosate was studied with the specific background of the presence of genetically modified (GM) plants. Aim was to simulate the environmental behaviour of glyphosate in sandy field soil lysimeters after multiple herbicide applications and under the presence of GM soybean and to test and enhance model reliability in the simulation of the herbicide fate including biodegradation in the soil and herbicide translocation in GM plants. The modelling of the herbicide behaviour in the present study was based on the pesticide transport model LEACHP and the model PLANTX to simulate the pesticide uptake by plants. Both models were implemented in the modular modelling system EXPERT-N. Glyphosate transport measurements and the mathematical modelling results indicate that due to the high sorption of glyphosate to the soil matrix and the high microbial capacities for glyphosate degradation in the lysimeter soil, leaching risk can be considered to be low. We confirmed that the introduction of more adequate conceptual descriptions of microbial response to pesticide and nutrient additions can contribute to a reduction in the uncertainty of pesticide degradation modelling. Moreover, the consideration of uncertainty in sorption, dispersivity and degradation parameters revealed a considerable variability in model output. The observed accumulation of glyphosate in roots and nodules was reproduced by the simulation results. Under the restriction that the prevailing model assumptions are valid, the simulation results indicate that glyphosate may accumulate also in beans of trangenic soybean.

Original languageEnglish
Pages (from-to)187-207
Number of pages21
JournalWater, Air, and Soil Pollution: Focus
Volume8
Issue number2
DOIs
StatePublished - Apr 2008
Externally publishedYes

Keywords

  • Environmental fate modeling
  • Field lysimeters
  • Genetically modified soybean
  • Glyphosate
  • Risk assessment

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