Use of lure sticks for non‐invasive genetic sampling of European wildcat populations: lessons learnt and hints for future insights

Non‐invasive genetic sampling is an increasingly common approach in wildlife research. It allows the gathering of first‐hand data on wild mammalian populations without capturing or handling individuals. For this reason, it has proved to be particularly useful when applied to elusive species living at low population densities and/or hard to identify in the field. The European wildcat represents an interesting case study in this respect. Several papers have been produced in the last decades, in which non‐invasive genetic sampling has been applied. Nevertheless, evidence from different case studies presents a complex scenario, where the efficiency of the method can vary considerably. This paper aimed to analyse possible interpretations of such differences and to identify potential drivers and barriers. 20 papers on the subject have been reviewed and compared, although differences in several details reported in the examined papers limited an in‐depth comparison. The review showed that the overlap of the study period with the reproductive season does not affect the final results of lure stick hair sampling research on the European wildcat. Moreover, valerian lure sticks generally provided positive results in the Continental ecoregion, whereas, in the Mediterranean and Atlantic regions, outcomes were absent or very scarce. Most of the other working hypotheses remain still plausible, despite not yet being definitely provable. Setting up future wildcat monitoring schemes based on effective non‐invasive genetic sampling in different biogeographical regions of Europe is certainly a scope to be pursued. Some suggestions are provided in this respect (e.g. the set of parameters needed to allow further comparisons; the need to test other types of attractants, to make the application of the method possible where the use of valerian was proven to be inefficient or scarcely efficient, in order to allow a better comparison of future results).