Recent trends and harvest in Finland's brown bear population

Kojola, Ilpo; Hallikainen, Ville; Nygrén, Tuire; Pesonen, Mauri; Ruusila, Vesa

doi:10.2192/1537-6176(2006)17[159:rtahif]2.0.co;2

Ursus

2006

DOI: 10.2192/1537-6176(2006)17[159:rtahif]2.0.co;2

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Recent trends and harvest in Finland's brown bear population

Ilpo Kojola¹,

Ville Hallikainen²,

Tuire Nygrén³

et al.

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Cited by 6 publications

(1 citation statement)

References 28 publications

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“…Current methods for monitoring brown bears range from field observations to intensive collection of material for identification of individual bears by DNA analysis (Linnell et al 1998). Observations are used both for estimation of population size and trends (Mattson 1997, Kojola et al 2006, Schwartz et al 2008, Kindberg et al 2009), and most observation‐based methods focus on females with cubs (Knight et al 1995, Eberhardt & Knight 1996, Harris et al 2007, Ordiz et al 2007, Schwartz et al 2008), because they are easier to recognise in the field and are the most important segment for populations stability. Observations can also be used in combination with other methods, e.g.…”

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confidence: 99%

Estimating population size and trends of the Swedish brown bear Ursus arctos population

et al. 2011

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Estimating population size and trends are key issues in the conservation and management of large carnivores. The rebounding brown bear Ursus arctos population in Sweden is monitored by two different systems, both relying on voluntary resources. Population estimates have been calculated using Capture-Mark-Recapture methods, based on DNA-based scat surveys in five of the six Swedish counties with established bear populations. A total of 1,358 genotypes were identified using DNA extracted from collected scats. An independent ongoing programme, the Large Carnivore Observation Index (LCOI), was initiated in 1998. The LCOI uses effort-corrected observations of bears by moose Alces alces hunters during the moose hunt (. 2 million observation hours/year) and has shown a good correlation with relative population density of bears using the DNA-based method. From this, we have calculated population trends during the period 1998-2007. Using an exponential model, we estimated the yearly increase in the bear population to be 4.5% at the national level, varying between 0 and 10.2% in different counties. We used the regional population estimates and the trends from the LCOI, taking the variation from both systems into account using parametric bootstrapping, to calculate the regional as well as the national population size in Sweden in fall 2008. In one case (the northernmost county; Norrbotten) a DNA-scat survey was lacking, so we used assumptions based on data from the neighbouring county to estimate population size. We estimated the Swedish brown bear population to be 3,298 individuals (2,968-3,667; 95% confidence intervals) in 2008. Our results suggest that reliable information, necessary for the management of the brown bear population can be obtained from volunteers using standardised methods.

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mentioning

confidence: 99%

Estimating population size and trends of the Swedish brown bear Ursus arctos population

et al. 2011

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Restoration of transborder connectivity for Fennoscandian brown bears (Ursus arctos)

Kopatz

Kleven

Kojola

et al. 2021

Biological Conservation

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

Karamanlidis

Kopatz

Hernando

2021

Journal of Mammalogy

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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 human-dominated 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.

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Recent trends and harvest in Finland's brown bear population

Cited by 6 publications

References 28 publications

Estimating population size and trends of the Swedish brown bear Ursus arctos population

Estimating population size and trends of the Swedish brown bear Ursus arctos population

Restoration of transborder connectivity for Fennoscandian brown bears (Ursus arctos)

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

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