Genetics of brown bears in northern Europe

From the dawn of wildlife genetics, brown bears in Scandinavia have been studied using molecular genetic methods and hence have been substantial in the development of these methods, which are now the gold standard in DNA-based monitoring of many wildlife species. This chapter introduces the constantly evolving field of DNA-based assessments to monitor and to study the history of brown bears. Genetic studies enable us to understand better past processes, such as the recolonisation after the last Ice Age, and present status, such as migration, and other factors influencing brown bear populations in the north of Europe. Brown bear, genetic structure, mitochondrial DNA, noninvasive genetic sampling, phylo-geography, population monitoring, Ursus arctos, Y chromosomeGenetics of brown bears in northern EuropepublishedVersio

Dispersal patterns of a recovering brown bear (Ursus arctos) population in a human-dominated landscape

Despite increasing habitat fragmentation, large carnivore populations in parts of Europe have been recovering and expanding into human-dominated areas. Knowledge of animal dispersal patterns in such areas is important for their conservation, management, and coexistence with humans. We used genetic data based on 15 microsatellite markers from 312 individuals (98 females, 214 males) to assess kinship and dispersal patterns during the recovery and spatial expansion of a wild brown bear (Ursus arctos) population (2003–2010) in the humandominated landscape of Greece. We hypothesized that bear dispersal in Greece was sex-biased, with females being more philopatric and males dispersing more frequently and over greater distances. Dispersal indeed was sex-biased, with males dispersing more frequently and farther than females. Overall, females were found to be philopatric; males also appeared to be philopatric, but to a lesser degree. However, a high proportion of females displayed dispersal behavior, which may be indicative of a pre-saturation stage of the population in that part of the country. Our results indicate that dispersal may be due to evading competition and avoiding inbreeding. We also documented long-distance dispersal of bears, which is considered to be indicative of a spatially expanding population. Our results highlight the value of using noninvasive genetic monitoring data to assess kinship among individuals and study dispersal patterns in human-dominated landscapes. Brown bears remain threatened in Greece; we therefore recommend systematic genetic monitoring of the species in combination with careful habitat management to protect suitable habitat (i.e., dispersal corridors) and ultimately ensure co-existence with humans and survival of brown bears in the country. genetic relationship, Greece, kinship, spatial autocorrelation, wildlife conservationpublishedVersio

Evidence of rapid change in genetic structure and diversity during range expansion in a recovering large terrestrial carnivore

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Påvisning av bjørn og andre rovdyr i reinbeitedistrikt Beahceveai/Pasvik 5A/5C

-Ved bruk av 10 hårfeller ble det påvist 5 ulike bjørn i kalvingslandet til reinbeitedistrikt 5A/5C fra 15 april til slutten av juni 2015. Det ble også observert individer og sportegn av jerv, gaupe og kongeørn i kalvingslandet. Dataene fra radio-bjeller (Telespor) og e-bjeller (Findmysheep) som ble båret av henholdsvis 20 og 100 simler, indikerte hvordan reinen brukte området og det er også at det er mulig å tolke bevegelsesmønstre og bevegelseshastigheter hos simlene i relasjon til rovdyrene. Ingen av de fem bjørnene var kjent fra området tidligere år og på den andre siden ble det ikke påvist noen av bjørnene som var kjent fra området i 2013 og 2014

Påvisning av bjørn og andre rovdyr i reinbeitedistrikt Beahceveai/Pasvik 5A/5C

-Ved bruk av 10 hårfeller ble det påvist 5 ulike bjørn i kalvingslandet til reinbeitedistrikt 5A/5C fra 15 april til slutten av juni 2015. Det ble også observert individer og sportegn av jerv, gaupe og kongeørn i kalvingslandet. Dataene fra radio-bjeller (Telespor) og e-bjeller (Findmysheep) som ble båret av henholdsvis 20 og 100 simler, indikerte hvordan reinen brukte området og det er også at det er mulig å tolke bevegelsesmønstre og bevegelseshastigheter hos simlene i relasjon til rovdyrene. Ingen av de fem bjørnene var kjent fra området tidligere år og på den andre siden ble det ikke påvist noen av bjørnene som var kjent fra området i 2013 og 2014

Admixture and gene flow from Russia in the recovering Northern European brown bear (Ursus arctos)

Large carnivores were persecuted to near extinction during the last centuries, but have now recovered in some countries. It has been proposed earlier that the recovery of the Northern European brown bear is supported by migration from Russia. We tested this hypothesis by obtaining for the first time continuous sampling of the whole Finnish bear population, which is located centrally between the Russian and Scandinavian bear populations. The Finnish population is assumed to experience high gene flow from Russian Karelia. If so, no or a low degree of genetic differentiation between Finnish and Russian bears could be expected. We have genotyped bears extensively from all over Finland using 12 validated microsatellite markers and compared their genetic composition to bears from Russian Karelia, Sweden, and Norway. Our fine masked investigation identified two overlapping genetic clusters structured by isolation-by-distance in Finland (pairwise FST = 0.025). One cluster included Russian bears, and migration analyses showed a high number of migrants from Russia into Finland, providing evidence of eastern gene flow as an important driver during recovery. In comparison, both clusters excluded bears from Sweden and Norway, and we found no migrants from Finland in either country, indicating that eastern gene flow was probably not important for the population recovery in Scandinavia. Our analyses on different spatial scales suggest

Genetic analysis indicates spatial-dependent patterns of sex-biased dispersal in Eurasian lynx in Finland

Conservation and management of large carnivores requires knowledge of female and male dispersal. Such information is crucial to evaluate the population's status and thus management actions. This knowledge is challenging to obtain, often incomplete and contradictory at times. The size of the target population and the methods applied can bias the results. Also, population history and biological or environmental influences can affect dispersal on different scales within a study area. We have genotyped Eurasian lynx (180 males and 102 females, collected 2003-2017) continuously distributed in southern Finland (similar to 23,000 km(2)) using 21 short tandem repeats (STR) loci and compared statistical genetic tests to infer local and sex-specific dispersal patterns within and across genetic clusters as well as geographic regions. We tested for sex-specific substructure with individual-based Bayesian assignment tests and spatial autocorrelation analyses. Differences between the sexes in genetic differentiation, relatedness, inbreeding, and diversity were analysed using population-based AMOVA, F-statistics, and assignment indices. Our results showed two different genetic clusters that were spatially structured for females but admixed for males. Similarly, spatial autocorrelation and relatedness was significantly higher in females than males. However, we found weaker sex-specific patterns for the Eurasian lynx when the data were separated in three geographical regions than when divided in the two genetic clusters. Overall, our results suggest male-biased dispersal and female philopatry for the Eurasian lynx in Southern Finland. The female genetic structuring increased from west to east within our study area. In addition, detection of male-biased dispersal was dependent on analytical methods utilized, on whether subtle underlying genetic structuring was considered or not, and the choice of population delineation. Conclusively, we suggest using multiple genetic approaches to study sex-biased dispersal in a continuously distributed species in which population delineation is difficult.Peer reviewe

Monitoring of the Pasvik-Inari-Pechenga brown bear population in 2007 and 2011 using hair-trapping

The trans-border brown bear population of Pasvik-Inari-Pechenga (Norway-Finland-Russia) has been monitored using genetic analyses of feces collection since 2005. In addition in 2007, hair traps were systematically placed out in the area to collect hairs for genetic analysis, to more precisely determine the minimum numbers of bears. In 2011, we repeated this hair trap study, using the exact same methodology as in 2007, to make a direct comparison of the results from the two years. Brown bear DNA was detected in 68 of 88 hair samples (77%) obtained from hair traps in 2011 and for 56 of these samples, a complete DNA profile could be determined. We identified 20 different bears in 2011, 12 females and 8 males. Only one bear was found in more than one country (Norway and Russia). We detected 11 bears in Norway, 7 bears in Finland and 3 bears in Russia in 2011. Four of these 20 bears were previously unknown, all four from Finland. A comparison of the results from 2007 and 2011 showed that we detected fewer bears in hair traps in 2011 (20 bears) than in 2007 (24 bears), but this modest difference may be coincidental. However, we observed a large drop in the yield of hair samples in the traps in 2011 compared to 2007 (88 versus 196 samples). This observation may be suggestive of some reduced activity of bears within the study area in 2011. In addition, only five (21%) of the bears caught in hair traps in 2007 were recaptured in 2011, which indicates a substantial turnover of individuals and may indicate that more frequent hair trapping monitoring would be beneficial to reliably track changes in the population. Additional samples (mainly scats) collected opportunistically in the field within the Russian and Finnish parts of the study area in 2011 detected four male bears in the Finnish part that had not been detected by hair traps. No additional samples from Norway were included to this study and any comparisons between the hair-trapping and opportunistic sampling at this point remains difficult. However, the results indicate that both methods combined are currently the most feasible methods to monitor brown bear numbers in an area.publishedVersio

Scientific assessment of risk to populations of pythons listed by CITES as a result of trade

This report provides a scientific risk assessment of the effects that international trade in selected species of pythons (Pythonidae spp.) and python products may have on populations of these species. The assessment is based on the criteria given under the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES). The risk assessment is limited to species in the genera Apodora, Aspidites, Liasis, Malayopython, Morelia, and Python imported/exported to/from Norway since 2010 (ToR §3). Risk assessments to determine species-specific detriment (cf. Res. Conf. 16.7 (Rev. CoP17) Non-detriment findings) were made for 17 species using a standardized approach. Significant data gaps affected the degree of uncertaintyassociated with the assessments. Data gaps are mostly related to populations, trends, and illegal trade. Population and trade data for many species was more than a decade old and might therefore not reflect the current situation for these species. Based on the species-specific detriment assessments VKM concludes no detriment for 12 species (Apodora papuana, Aspidites melanocephalus, Liasis mackloti, Malayopython reticulatus, Morelia bredli, Morelia spilota, Morelia viridis, Python anchietae, Python bivittatus, Python breitensteini, Python brongersmai, Python curtus). For one species, VKM concludes detriment (Morelia boeleni). For two species, a split conclusion is made based on the region of origin (Python regius and Python sebae). Furthermore, sufficient data was lacking for Malayopython timoriensis and VKM is therefore unable to make a detriment assessment. The final species, Python molurus, is CITES Appendix I listed and should not be traded for commercial purposes. The degree of uncertainty associated with each assessment varied based on data availability and this is indicated as a confidence level of the individual assessments (low to high)Scientific assessment of risk to populations of pythons listed by CITES as a result of tradepublishedVersio

Monitoring of the Pasvik-Inari-Pechenga brown bear population in 2015 using hair-trapping

The trans-border brown bear population of Pasvik-Inari-Pechenga (Norway-Finland-Russia) has been monitored using genetic analyses of feces collection since 2005. In addition, in 2007 and 2011, hair traps were systematically placed out in the area to collect hairs for genetic analysis, to more precisely determine the minimum numbers of bears in the area. In 2015, we repeated this hair trap study, using the exact same methodology as in 2007 and 2011, to make a direct comparison of the results from all the 3 study years. Brown bear DNA was detected in 158 of 209 hair samples (76%) obtained from hair traps in 2015 and for 136 of these samples, a complete DNA profile could be determined. We identified 26 different bears in 2015, 17 females and 9 males. We detected 16 bears in Norway, 5 bears in Finland and 9 bears in Russia. Thirteen of these 26 bears were previously unknown, 7 were detected in Norway, 2 in Finland and 4 in Russia. A comparison to the results from 2007 and 2011 showed that we detected more bears in hair traps in 2015 (26 bears) than in 2007 (24 bears) and 2011 (20 bears). We observed an increase in the total yield of hair samples in the traps in 2015 (209 samples) compared to 2007 (196 samples) and 2011 (88 samples). Four (16%) and seven (35%) of the bears caught in hair traps in 2007 and in 2011, respectively, were also recaptured in 2015. Additional samples (scats and hair) collected opportunistically in the field within the Russian and Finnish parts of the study area in 2015 detected 4 male bears and 1 female bear in the Russian part leading to a total of 14 bears identified in Russia, of which 8 bears were detected for the first time. Additional scat and hair samples from the field in Norway were not included in our study and comparisons between the systematic hair-trapping and opportunistic sampling in the field were not performed. However, the results indicate that both methods combined are currently the optimal approach to monitor brown bear numbers in an area