During the LIFE Lynx project, we have learned a lot about the genetics and demography of the lynx. Data, obtained in scope of the project, were used to update the computer model of lynx population development, which helps us to take a look into the future of the population. We simulated the Dinaric and the SE Alpine stepping stone populations and investigated the role of its connectivity in reducing inbreeding. Even low gene flow is...
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Within the LIFE Lynx project we also focused on the future of the Dinaric-SE Alpine lynx population. On its own, the population remains too small to avoid the increase of inbreeding in the next decades, and will need gene flow from other populations, either naturally through establishment of a Dinaric – Alpine metapopulation, or assisted with translocations. We explored the impact of the translocations on the lynx population using...
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Computer simulations are a very useful and widely used tool in conservation biology as they are able to provide useful reference points for decision-making in population management. This is why we developed an individual-based stochastic model of lynx population development, aimed to predict the long-term viability of the population in Dinaric Mountains and South-eastern Alps under different management scenarios. The emphasis of the...
Read MoreMonitoring of the Project Impact on Viability of Lynx in the Dinaric Mountains and South Eastern Alps, and Establishing Guidelines for Ensuring Long Term Viability The goal of this action is to track the project’s impact on the long-term viability of the Dinaric – SE Alpine lynx population and determine how the population should be managed in the long run. We will use stochastic demographic/genetic computer models in a population...
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