8 research outputs found

    Border security fencing and wildlife: the end of the transboundary paradigm in Eurasia?

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    The ongoing refugee crisis in Europe has seen many countries rush to construct border security fencing to divert or control the flow of people. This follows a trend of border fence construction across Eurasia during the post 9/11 era. This development has gone largely unnoticed by conservation biologists during an era where ironically, transboundary cooperation has emerged as a conservation paradigm. These fences represent a major threat to wildlife because they can cause mortality, obstruct access to seasonally important resources, and reduce effective population size. We summarise the extent of the issue and propose concrete mitigation measures

    European agreements for nature conservation need to explicitly address wolf-dog hybridisation

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    Hybridisation between wolves and dogs is increasingly reported in Europe. Nonetheless, no systematic survey has ever been attempted at the continental scale. We made the first assessment of wolf-dog hybridisation (WDH) occurrence in Europe and analysed how the phenomenon is addressed by international legislation and managed at the country level. We found that WDH is reported in all nine extant European wolf populations, and in 21 out of 26 countries for which we received information. The two main international legal instruments (i.e., the Habitats Directive and the Bern Convention) do not explicitly mention the threat posed by hybridisation but do provide guidance promoting control of free-ranging wolf-dog hybrids. However, we recorded poor compliance with such recommendations in most European countries, and a lack of coordination in addressing WDH among countries sharing the same wolf population. Alarmingly, we revealed a lack of well-designed and implemented country-wide genetic surveys to detect and monitor hybridisation, both relevant pre-requisites to effectively implement WDH management. By recommending criteria for an operative definition of “hybrid”, we also suggest improvements to enhance WDH-related policy at the European scale

    Brown bear research in Europe: a review of the data collected and their value for conservation

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    Europe is a mosaic of landscapes shaped by human presence and activity, nevertheless it still harbors ~18 000 brown bears, clustered in 10 populations. Brown bear management and conservation in Europe is carried out by national/regional governmental agencies and through the involvement of universities and research institutions, NGOs, protected areas’ administrations, and hunting associations. Due to their cultural and charismatic value, brown bears have been largely studied under various aspects of their biology, ecology, and management and much of this knowledge has been gathered through the collaboration of these various agents. Nevertheless, the data collected have been only partially used for research and published in the peer-reviewed literature and, therefore, may not be fully available to the scientific community and conservation practitioners. In addition, data collection and research efforts are often fragmented at an administrative level, and can be sparse and scattered or even lacking in some parts of the species range due to limited funding. Here we summarize the ecological data collected for the 10 brown bear populations in Europe, focusing primarily on movement, genetic, demographic, and diet data. We report the type of data collected, the methods as well as the geographic and temporal coverage of the data collection, the overall sample sizes, if the data were obtained at the population or country/regional level, what the data have been used for, and if results have been published. We use this information first to reveal the substantial amount of valuable data collected for the brown bear throughout Europe. Second, we identify existing gaps in knowledge and data collection and prioritize future efforts needed as well as areas where research funding may be more urgent. Third, we highlight the potentials for integrating the overall knowledge so far collected for improving understanding of brown bear ecology in the human-dominated European landscape and implementing more effective management and conservation planning

    Ancient, but not recent, population declines have had a genetic impact on alpine yellow-bellied toad populations, suggesting potential for complete recovery

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    Reduction in population size and local extinctions have been reported for the yellow-bellied toad, Bombina variegata, but the genetic impact of this is not yet known. In this study, we genotyped 200 individuals, using mtDNA cytochrome b and 11 nuclear microsatellites. We investigated fine-scale population structure and tested for genetic signatures of historical and recent population decline, using several statistical approaches, including likelihood methods and approximate Bayesian computation. Five major genetically divergent groups were found, largely corresponding to geography but with a clear exception of high genetic isolation in a highly touristic area. The effective sizes in the last few generations, as estimated from the random association among markers, never exceeded a few dozen of individuals. Our most important result is that several analyses converge in suggesting that genetic variation was shaped in all groups by a 7- to 45-fold demographic decline, which occurred between a few hundred and a few 1000 years ago. Remarkably, only weak evidence supports recent genetic impact related to human activities. We believe that the alpine B. variegata populations should be monitored and protected to stop their recent decline and to prevent local extinctions, with highest priority given to genetically isolated populations. Nonetheless, current genetic variation pattern, being mostly shaped in earlier times, suggests that complete recovery can be achieved. In general, our study is an example of how the potential for recovery should be inferred even under the co-occurrence of population decline, low genetic variation, and genetic bottleneck signals
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