Dataset for: Expanding risk predictions of pesticide resistance evolution in arthropod pests with a proxy for selection pressure

This archive comprises the data and scripts required to reproduce the
analyses presented in Thia et al., “Expanding risk predictions of
pesticide resistance evolution in arthropod pests with a proxy for
selection pressure”. A version of this manuscript exists on BioRXiv,
https://www.biorxiv.org/content/10.1101/2022.04.18.488707v3, and the final
published version is in the Journal of Pest Science,
https://doi.org/10.1007/s10340-023-01593-w. In this study, we explore the
use of pesticide product registrations as a predictor of pesticide
resistance status in agricultural arthropod pests from Australia and the
USA. We find that pesticide product registrations are positively
associated with resistance status. We suggest that pesticide product
registrations may represent a proxy for chemical selection pressure acting
on agricultural pests. Our work suggests that publicly available chemical
databases can be mined to obtain important information about selection in
agro-ecosystems that can be used to guide proactive management strategies.