Toxicokinetics and toxicodynamics data for fluazinam in the springtail Folsomia candida

The rise in global temperatures and increasing severity of heat waves pose significant threats to soil organisms, disrupting ecological balances in soil communities. Additionally, the implications of environmental pollution are exacerbated in a warmer world, as changes in temperature affect the uptake, transformation and elimination of toxicants, thereby increasing the vulnerability of organisms. Nevertheless, our understanding of such processes remains largely unexplored. The present study examines the impact of high temperatures on the uptake and effects of the fungicide fluazinam on the springtail Folsomia candida; Collembola, Isotomidae. Conducted under non-optimum but realistic high temperatures, the experiments revealed that increased temperature hampered detoxification processes in F. candida, enhancing the toxic effects of fluazinam. High temperatures and the fungicide exerted synergistic interactions, reducing F. candida’s reproduction and increasing adult mortality beyond what would be predicted by simple addition of the heat and chemical effects. These findings highlight the need to reevaluate the current ecological risk assessment and the regulatory framework in response to climate changes. This research enhances our understanding of how global warming affects the toxicokinetics and toxicodynamics (TK-TD) of chemicals in terrestrial invertebrates. In conclusion, our results suggest that adjustments to regulatory threshold values are necessary to address the impact of a changing climate.

Methods
Springtails (Folsomia candida) were exposed to fluazinam mixed into a standard soil type. Exposure proceeded for 28 days at different temperatures. One experiment studied body concentration of fluazinam and major metabolites (toxicokinetics). Measured with high pressure liquid chromatography and mass spectronomy. A second experiment studied the effects of fluazinam on life history traits of springtails (toxicodynamics). Statistical modelling evaluated the nature of interactions between effects of temperature and the pesticide.

Important: The raw data in this dataset need to be decoded with the provided R-Script since the data is only modified with the Script. The models in the dataset can be used as they are since they are already are already decoded and modelled accordingly to the described methods in Wehrli et al. 2024