Herbicide risk assessments of non-target terrestrial plant communities: A graphical user interface for the plant community model IBC-grass

PLoS One. 2020 Mar 13;15(3):e0230012. doi: 10.1371/journal.pone.0230012. eCollection 2020.

Abstract

Plants located adjacent to agricultural fields are important for maintaining biodiversity in semi-natural landscapes. To avoid undesired impacts on these plants due to herbicide application on the arable fields, regulatory risk assessments are conducted prior to registration to ensure proposed uses of plant protection products do not present an unacceptable risk. The current risk assessment approach for these non-target terrestrial plants (NTTPs) examines impacts at the individual-level as a surrogate approach for protecting the plant community due to the inherent difficulties of directly assessing population or community level impacts. However, modelling approaches are suitable higher tier tools to upscale individual-level effects to community level. IBC-grass is a sophisticated plant community model, which has already been applied in several studies. However, as it is a console application software, it was not deemed sufficiently user-friendly for risk managers and assessors to be conveniently operated without prior expertise in ecological models. Here, we present a user-friendly and open source graphical user interface (GUI) for the application of IBC-grass in regulatory herbicide risk assessment. It facilitates the use of the plant community model for predicting long-term impacts of herbicide applications on NTTP communities. The GUI offers two options to integrate herbicide impacts: (1) dose responses based on current standard experiments (acc. to testing guidelines) and (2) based on specific effect intensities. Both options represent suitable higher tier options for future risk assessments of NTTPs as well as for research on the ecological relevance of effects.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Computer Graphics*
  • Environmental Monitoring
  • Herbicides / toxicity*
  • Models, Statistical*
  • Risk Assessment / methods*
  • User-Computer Interface*

Substances

  • Herbicides

Grants and funding

The project was funded by Bayer AG. Authors employed by Bayer AG worked on preparing this manuscript (see Author contributions). We acknowledge the support of the Deutsche Forschungsgemeinschaft and Open Access Publishing Fund of University of Potsdam.