Genetic Rescue of the Dinaric Lynx Population: Insights for Conservation From Genetic Monitoring and Individual‐Based Modelling

Inbreeding depression poses a severe threat to small populations, leading to the fixation of deleterious mutations and decreased survival probability. While the establishment of natural gene flow between populations is an ideal long-term solution, its practical implementation is often challenging. Reinforcement of populations by translocating individuals from larger populations is a viable strategy for reducing inbreeding, increasing genetic diversity and potentially saving populations from extinction. The Dinaric population of Eurasian lynx (<i>Lynx lynx</i>) has faced high inbreeding levels, with effective inbreeding reaching 0.316 in 2019, endangering the population's survival. To counteract this, population reinforcement was implemented between 2019 and 2023, involving the translocation of 12 individuals from the Carpathian Mountains to the Dinaric Mountains of Slovenia and Croatia. We conducted comprehensive genetic monitoring in this area, gathering 588 non-invasive and tissue samples, which were used for individual identification and estimation of population genetic parameters. We used stochastic modelling to assess the long-term viability of the Dinaric lynx population post-translocation and formulate effective conservation strategies. The model predicts that, despite significant improvement of genetic diversity after translocations, inbreeding will return to critical levels within 45 years. Our results highlight the fact that reinforcement is just the first step and that long-term genetic management is needed to keep the population from sliding back towards extinction. The Dinaric lynx population serves as a compelling example of genetic rescue. The lessons learnt here will be essential for ensuring the viability of the Dinaric lynx in the future and also provide a useful template for conservation of other populations and species facing similar threats.

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Publication Details

Journal
Evolutionary Applications
Published
2025-01-01
DOI
https://doi.org/10.1111/eva.70045
Citations
8
Primary Topic
Wildlife Ecology and Conservation
Type
article
Field-Weighted Citation Impact
13.73

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article

Genetic Rescue of the Dinaric Lynx Population: Insights for Conservation From Genetic Monitoring and Individual‐Based Modelling

Jakub Kubala, Teodora Sin, Andrea Gazzola, Vedran Slijepčević et al.
8 citations
Evolutionary Applications
Wildlife Ecology and Conservation
13.73
article

Genetic Rescue of the Dinaric Lynx Population: Insights for Conservation From Genetic Monitoring and Individual‐Based Modelling

Jakub Kubala, Teodora Sin, Andrea Gazzola, Vedran Slijepčević, Ladislav Paule, Barbara Promberger, Tomaž Skrbinšek, Robin Rigg, Elena Pazhenkova, Astrid Vik Strønen, Marjeta Konec, Matej Bartol, Mihai I. Pop, Barbara Boljte, Miha Krofel, Urša Fležar, Ira Topličanec, Hubert Potočnik, Tomislav Gomerčić, Magda Sindičić, Ivan Kos
article en
8 citations

Abstract

Inbreeding depression poses a severe threat to small populations, leading to the fixation of deleterious mutations and decreased survival probability. While the establishment of natural gene flow between populations is an ideal long-term solution, its practical implementation is often challenging. Reinforcement of populations by translocating individuals from larger populations is a viable strategy for reducing inbreeding, increasing genetic diversity and potentially saving populations from extinction. The Dinaric population of Eurasian lynx (<i>Lynx lynx</i>) has faced high inbreeding levels, with effective inbreeding reaching 0.316 in 2019, endangering the population's survival. To counteract this, population reinforcement was implemented between 2019 and 2023, involving the translocation of 12 individuals from the Carpathian Mountains to the Dinaric Mountains of Slovenia and Croatia. We conducted comprehensive genetic monitoring in this area, gathering 588 non-invasive and tissue samples, which were used for individual identification and estimation of population genetic parameters. We used stochastic modelling to assess the long-term viability of the Dinaric lynx population post-translocation and formulate effective conservation strategies. The model predicts that, despite significant improvement of genetic diversity after translocations, inbreeding will return to critical levels within 45 years. Our results highlight the fact that reinforcement is just the first step and that long-term genetic management is needed to keep the population from sliding back towards extinction. The Dinaric lynx population serves as a compelling example of genetic rescue. The lessons learnt here will be essential for ensuring the viability of the Dinaric lynx in the future and also provide a useful template for conservation of other populations and species facing similar threats.

Evolutionary ApplicationsVol. 18(1)
University of Ljubljana (SI), University of Zagreb (HR), Slovak Caves Administration (SK), Technická univerzita vo Zvolene (SK), Slovenian Forestry Institute (SI), Karlovac University of Applied Sciences (HR), Aalborg University (DK)
Javna Agencija za Raziskovalno Dejavnost RS, U.S. Forest Service, LIFE programme
Life in Land
Openalex Percentile: Top 1%
Wildlife Ecology and Conservation
13.73
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