Abstract

Game species like the red deer have been subjected to anthropogenic impacts for centuries. Translocations are often carried out—sometimes illegally—not only for sporting purposes, but also to increase trophy quality, reduce inbreeding, or mitigate bottlenecks after excessive persecution. Apart from the blurring of large‐scale genetic structure, translocations without adequate quarantine measure risk introducing pathogens into potentially immunologically naïve populations. It is therefore important to understand the frequency of clandestine translocations. Identification of non‐autochthonous animals and their potential origin is often difficult and, in red deer, has been hampered by the lack of large‐scale genotypic datasets for comparison. In the present study, we make use of a recently published European‐wide microsatellite dataset to detect and quantify the presence of non‐autochthonous red deer in a large population sample (n = 1,780) from Central Europe (Belgium). Using factorial correspondence analysis, assignment tests and Bayesian clustering algorithms we arrive at an estimate of 3.7% non‐autochthonous animals (or their descendants). Some of these animals were assigned to a nearby French population and may have immigrated into Belgium naturally, but the large majority must have been introduced by humans. Our analysis pointed to the British Isles and Germany/Poland as the potential origin of many introduced deer, regions known to have been source populations for translocations in Europe and beyond. We found evidence for recreational hunters using carcasses from farmed deer to fulfill mandatory hunting quotas. Our study is the first to quantify the extent of human‐mediated introductions in a European game species at such a large scale with large and representative sample sizes.

Highlights

  • The genetic structure of large mammal species, those inhabiting areas with high human population density, is affected by natural and anthropogenic processes

  • Studies on mitochondrial DNA sequences (Ludt, Schroeder, Rottmann, & Kuehn, 2004; Niedziałkowska et al, 2011; Skog et al, 2009) and ­microsatellites (Zachos et al, 2016) have shown the large-­scale genetic structure of European red deer to be shaped by the Late Pleistocene and Holocene glacial–interglacial cycles

  • The large-­scale pattern of the three lineages that are geographically separated, strongly suggests that the natural genetic structure at the level of glacial refugial lineages is still present in red deer

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Summary

| INTRODUCTION

The genetic structure of large mammal species, those inhabiting areas with high human population density, is affected by. Apart from the species’ European-­wide phylogeography, local or regional red deer stocks have been intensively studied from a population genetic point of view, often taking into account human impacts (Carranza, Salinas, de Andrés, & Pérez-­González, 2016; Frantz, Hamann, & Klein, 2008; Haanes, Røed, Flagstad, & Rosef, 2010; Haanes, Røed, Mysterud, Langvatn, & Rosef, 2010; Hoffmann, Johannesen, & Griebeler, 2016; Kuehn, Haller, Schroeder, & Rottmann, 2004; Kuehn, Schroeder, Pirchner, & Rottmann, 2003; Niedziałkowska, Jędrzejewska, Wójcik, & Goodman, 2012; Zachos, Althoff, Steynitz, Eckert, & Hartl, 2007) Some of these studies have identified clear phylogeographic outliers (e.g., a Sardinian haplotype in the British Isles, Nussey, Pemberton, Donald, & Kruuk, 2006; a few more phylogeographic outliers can be found in Skog et al, 2009), which is conclusive evidence of long-­distance translocations. We present an in-­depth analysis of regional red deer populations in Belgium—where since 1994 no private individual is legally allowed to translocate wildlife—based on 13 microsatellite loci and 1780 samples and compare this dataset to the recently published European-­wide dataset (Zachos et al, 2016) to identify non-­ indigenous genotypes and to arrive at a quantitative estimate on how large the proportion of potentially translocated individuals is, testing claims that few if any European red deer populations are free from introductions (Hartl et al, 2003)

| MATERIALS AND METHODS
E France E France NE Ger E Pol NE Ger E Pol NW Croat S Slo
| DISCUSSION
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