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Tsalazidou-Founta TM, Stasi EA, Samara M, Mertzanis Y, Papathanassiou M, Bagos PG, Psaroudas S, Spyrou V, Lazarou Y, Tragos A, Tsaknakis Y, Grigoriadou E, Korakis A, Satra M, Billinis C. Genetic Analysis and Status of Brown Bear Sub-Populations in Three National Parks of Greece Functioning as Strongholds for the Species’ Conservation. Genes (Basel) 2022; 13:genes13081388. [PMID: 36011299 PMCID: PMC9407276 DOI: 10.3390/genes13081388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 07/18/2022] [Accepted: 07/26/2022] [Indexed: 12/04/2022] Open
Abstract
In order to optimize the appropriate conservation actions for the brown bear (Ursus arctos L.) population in Greece, we estimated the census (Nc) and effective (Ne) population size as well as the genetic status of brown bear sub-populations in three National Parks (NP): Prespa (MBPNP), Pindos (PINDNP), and Rhodopi (RMNP). The Prespa and Pindos sub-populations are located in western Greece and the Rhodopi population is located in eastern Greece. We extracted DNA from 472 hair samples and amplified through PCR 10 microsatellite loci. In total, 257 of 472 samples (54.5%) were genotyped for 6–10 microsatellite loci. Genetic analysis revealed that the Ne was 35, 118, and 61 individuals in MBPNP, PINDNP, and RMNP, respectively, while high levels of inbreeding were found in Prespa and Rhodopi but not in Pindos. Moreover, analysis of genetic structure showed that the Pindos population is genetically distinct, whereas Prespa and Rhodopi show mutual overlaps. Finally, we found a notable gene flow from Prespa to Rhodopi (10.19%) and from Rhodopi to Prespa (14.96%). Therefore, targeted actions for the conservation of the bears that live in the abovementioned areas must be undertaken, in order to ensure the species’ viability and to preserve the corridors that allow connectivity between the bear sub-populations in Greece.
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Affiliation(s)
| | - Evangelia A. Stasi
- Department of Computer Science and Biomedical Informatics, University of Thessaly, 35100 Lamia, Greece
| | - Maria Samara
- Department of Pathology, Faculty of Medicine, University of Thessaly, 41100 Larissa, Greece
| | - Yorgos Mertzanis
- Callisto Wildlife and Nature Conservation Society, 54621 Thessaloniki, Greece
| | - Maria Papathanassiou
- Department of Pathology, Faculty of Medicine, University of Thessaly, 41100 Larissa, Greece
| | - Pantelis G. Bagos
- Department of Computer Science and Biomedical Informatics, University of Thessaly, 35100 Lamia, Greece
| | - Spyros Psaroudas
- Callisto Wildlife and Nature Conservation Society, 54621 Thessaloniki, Greece
| | - Vasiliki Spyrou
- Faculty of Animal Science, University of Thessaly, 41222 Larissa, Greece
| | - Yorgos Lazarou
- Callisto Wildlife and Nature Conservation Society, 54621 Thessaloniki, Greece
| | - Athanasios Tragos
- Callisto Wildlife and Nature Conservation Society, 54621 Thessaloniki, Greece
| | - Yannis Tsaknakis
- Callisto Wildlife and Nature Conservation Society, 54621 Thessaloniki, Greece
| | - Elpida Grigoriadou
- The Rodopi Mountain-Range National Park (RMNP), Mesochori Paranestiou, 66035 Paranesti, Greece
| | - Athanasios Korakis
- Northern Pindos National Park Management Agency Aspraggeloi PC 44007, Municipality of Zagori, 45221 Ioannina, Greece
| | - Maria Satra
- Faculty of Public and One Health, University of Thessaly, 43100 Karditsa, Greece
| | - Charalambos Billinis
- Faculty of Veterinary Medicine, University of Thessaly, 43100 Karditsa, Greece
- Faculty of Public and One Health, University of Thessaly, 43100 Karditsa, Greece
- Correspondence:
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Ebert C, Sandrini J, Welter B, Thiele B, Hohmann U. Estimating red deer (Cervus elaphus) population size based on non-invasive genetic sampling. EUR J WILDLIFE RES 2021. [DOI: 10.1007/s10344-021-01456-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
AbstractSome deer species are of conservation concern; others are officially managed as a food source or for their trophies, whereas in many regions, deer are regarded as overabundant or even as a nuisance causing damages. Regardless of local management issues, in most cases, reliable data on deer population sizes and sex ratios are lacking. Non-invasive genetic approaches are promising tools for the estimation of population size and structure. We developed and tested a non-invasive genetic approach for red deer (Cervus elaphus) population size and density estimation based on faeces collected from three free-ranging red deer populations in south-western Germany. Altogether, we genotyped 2762 faecal samples, representing 1431 different individuals. We estimated population density for both sexes separately using two different approaches: spatially explicit capture-recapture (SECR) approach and a single-session urn model (CAPWIRE). The estimated densities of both approaches were similar for all three study areas, ranging between total densities of 3.3 (2.5–4.4) and 8.5 (6.4–11.3) red deer/km2. The estimated sex ratios differed significantly between the studied populations (ranging between 1:1.1 and 1:1.7), resulting in considerable consequences for management. In further research, the issues of population closure and approximation of the effectively sampled area for density estimation should be addressed. The presented approach can serve as a valuable tool for the management of deer populations, and to our knowledge, it represents the only sex-specific approach for estimation of red deer population size and density.
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Ambarlı H, Mengüllüoğlu D, Fickel J, Förster DW. Population genetics of the main population of brown bears in southwest Asia. PeerJ 2018; 6:e5660. [PMID: 30258734 PMCID: PMC6152452 DOI: 10.7717/peerj.5660] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2018] [Accepted: 08/29/2018] [Indexed: 12/01/2022] Open
Abstract
Genetic studies of the Eurasian brown bear (Ursus arctos) have so far focused on populations from Europe and North America, although the largest distribution area of brown bears is in Asia. In this study, we reveal population genetic parameters for the brown bear population inhabiting the Grand Kaçkar Mountains (GKM) in the north east of Turkey, western Lesser Caucasus. Using both hair (N = 147) and tissue samples (N = 7) collected between 2008 and 2014, we found substantial levels of genetic variation (10 microsatellite loci). Bear samples (hair) taken from rubbing trees worked better for genotyping than those from power poles, regardless of the year collected. Genotyping also revealed that bears moved between habitat patches, despite ongoing massive habitat alterations and the creation of large water reservoirs. This population has the potential to serve as a genetic reserve for future reintroductions in the Middle East. Due to the importance of the GKM population for on-going and future conservation actions, the impacts of habitat alterations in the region ought to be minimized; e.g., by establishing green bridges or corridors over reservoirs and major roads to maintain habitat connectivity and gene flow among populations in the Lesser Caucasus.
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Affiliation(s)
- Hüseyin Ambarlı
- Department of Wildlife Ecology and Management, Düzce Unviersity, Düzce, Turkey
| | | | - Jörns Fickel
- Leibniz Institute for Zoo and Wildlife Research, Berlin, Germany.,Institute for Biochemistry and Biology, University of Potsdam, Potsdam, Germany
| | - Daniel W Förster
- Leibniz Institute for Zoo and Wildlife Research, Berlin, Germany
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Giangregorio P, Norman AJ, Davoli F, Spong G. Testing a new SNP-chip on the Alpine and Apennine brown bear (Ursus arctos) populations using non-invasive samples. CONSERV GENET RESOUR 2018. [DOI: 10.1007/s12686-018-1017-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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