“…Unsurprisingly, the biodiversity data compiled by different and uncoordinated initiatives (Feng et al., 2022) are almost always characterized by the pervasive existence of taxonomical and geographical biases and shortcomings (see, for example, Hortal et al., 2015; Hughes et al., 2021; Meyer et al., 2016; or Larsen & Shirey, 2021). These drawbacks, inherent to opportunistically collected historical occurrence data, may limit but not invalidate the use of such information for scientific or conservation purposes (Grand et al., 2007; Isaac et al., 2014; Park, Lyra, et al., 2023; Park, Xie, et al., 2023; van Strien et al., 2013). Different approaches to filtering and processing information from biodiversity databases have allowed taking advantage of this unprecedented source of information to propose explanatory hypotheses about the spatiotemporal distributions of organisms (Belitz et al., 2020; Di Cecco et al., 2023; García‐Roselló et al., 2015; Heberling et al., 2021; Isaac et al., 2014; Lajeunesse & Fourcade, 2023; Pagel et al., 2014).…”