Aim Moose, Alces alces (Linnaeus, 1758), survived the European Pleistocene glaciations in multiple southern refugia, in a northern refugium near the Carpathians and possibly in other locations. During the second millennium ad, moose were nearly extirpated in Europe and only recolonized their current range after World War II. The number and location of refugia during the Pleistocene and recent population lows may have affected the current genetic diversity. We sought to characterize the genetic diversity in European moose in order to determine its genetic structure and the location of genetic hotspots as a way of inferring its population history and the number of Last Glacial Maximum (LGM) refugia. Location Europe. Methods We sequenced 538 nucleotides from the mitochondrial control region of 657 moose from throughout the species' European range. We estimated diversity within and among 16 sampling localities, and used samova to cluster sampling locations into subpopulations. We constructed phylogenetic trees and median‐joining networks to examine systematic relationships, and conducted Bayesian analysis of the coalescent and used mismatch distributions and approximate Bayesian computation to infer demographic history. Results Estonia had the highest nucleotide diversity, and western Belarus had the highest haplotype diversity. We observed four regional populations from the samova analysis. We found three haplogroups in European moose, probably representing lineages conserved in different refugia during the Pleistocene. European moose underwent spatial expansion after the LGM, but did not undergo demographic expansion. The effective population size has declined markedly within the last 2000 years. Main conclusions The current levels and distribution of genetic diversity in European moose indicate the effects both of Pleistocene glaciations and of a recent bottleneck, probably associated with anthropogenic influences such as pastoralization and hunting, and a very recent re‐expansion. We show that both historical and recent events can influence the diversity and distribution of a large mammal on a large scale.

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To investigate genetic diversity and the population structure of the European moose (Alces alces), we analyzed 14 microsatellite loci for 694 samples collected across 16 localities. The highest genetic diversity was detected in Belarus and Russia and the lowest was found in Scandinavia. Two major genetic clusters existed, Scandinavian and continental, and some further spatial structure was detected. There was high concordance between the spatial distribution of microsatellite clusters analyzed in the present study and previously recognized mitochondrial DNA clades of moose. The split of genetic lineages calculated using approximate Bayesian computation (ABC) occurred at the beginning of the Last Glacial Maximum: approximately 29 000 and 28 000 years BP. A range‐wide bottleneck detected by ABC took place 1800–1200 years BP, although a more recent decline in moose numbers was also documented in the 18th to early 20th Century. Genetic differentiation in European moose increased with geographical distance, and the Baltic Sea appeared to be a barrier to gene flow. We conclude that isolation in different glacial refugia, postglacial colonization, and declines of range and numbers in Holocene shaped the present pattern of genetic diversity of European moose. Based on genetic divergence and a lack of apparent gene flow, the contemporary Scandinavian and continental subpopulations should be treated as separate management units.

SUMMARYThe ecological network of Natura 2000, an European Union (EU) initiative to halt biodiversity loss across Europe, has dominated biodiversity governance in the new EU member states in recent years, as implementation was a condition of accession. Nongovernmental organizations (NGOs) have generally assisted Natura 2000 implementation. In two Central and Eastern European countries (Poland and Hungary), NGOs became involved in different ways; this paper seeks to analyse and explain these national differences by researching the theoretical background of policy networks and advocacy coalitions in both countries. In Hungary, NGOs worked closely with governmental authorities and contributed significantly to site selection. In Poland, NGOs initially opposed government plans, but later moved toward close cooperation with public institutions; this resulted in a significant expansion in the area and number of designated Natura 2000 sites. In both countries, NGO influence increased during the Natura 2000 process owing to the establishment of multi-level policy networks with the European Commission and public institutions, based on resource dependencies and shared beliefs. In postsocialist countries, the progression from governmentmonopolized biodiversity conservation implies a growing importance and contribution of NGOs, and their ability to use resources appropriately in the new governance contexts.