Disputas: Shane Frank

I sin avhandling viser Shane Frank at jakt på den skandinaviske brunbjørnen har indirekte effekt på bestanden utover det rent antallsmessig. Blant annet øker jakt risiko for hannbjørners drap på bjørnunger. Frank anbefaler at man tar hensyn til dette og andre påviste indirekte effekter, når man setter bestandsmål og bestemmer uttakstall for skandinavisk brunbjørn.


20 Oct

Praktisk informasjon

  • Dato: 20 oktober 2017
  • Tid: kl. 11.15 - 15.00
  • Sted: Bø, Aud. 5-116, Bø
  • Last ned kalenderfil
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    Til å bedømme avhandlingen er oppnevnt:

    • Førsteamanuensis Chad Bishop, University of Montana, USA
    • Dr. Michael Proctor, Birchdale Ecological, Canada 

     

    Dr. Helga Veronica Tinnesand, HSN, har vært komiteadministrator.

     

    Veiledere for avhandlingen:

    • Førsteamanuensis Andreas Zedrosser, HSN,hovedveileder
    • Professor Frank Rosell, HSN, biveileder og
    • Professor Jon Swenson, Norges miljø- og biovitenskapelige universitet, biveileder

     

    Disputasleder: Dr. Mona Sæbø

Bilde av Shane Frank som undersøker en bjørn.Shane Frank har til forsvar for graden philosophiae doctor (ph.d.) innlevert avhandling med tittelen: The effects of harvest on the socio-spatial and genetic structure of a solitary-living large carnivore, the brown bear Ursos arctos.

Graden avlegges ved  Høgskolen i Sørøst-Norge (HSN), Fakultet for teknologi, naturvitenskap og maritime fag.

Sammendrag

Avhandling er skrevet på engelsk. Her er et sammendrag av den: 

Understanding the effects of harvest is important for sustainable wildlife management and conservation.

And yet, the focus of managers has predominantly been on the direct mortality of harvest, often ignoring the indirect effects of harvest, such as those resulting from changes to sex, age, and social structure, the behavior of individuals, and the potential for human-induced selection.

Such effects can influence population growth rate beyond that expected from direct mortality.

This thesis reviewed the indirect effects of harvest on the Swedish brown bear population, explored the spatial  reorganization of bears following harvest, examined whether the spatial reorganization of males can contribute to sexually-selected infanticide (SSI), and evaluated whether hunting has played a role in affecting fine-scale genetic structure of matrilines.

The best documented indirect effect of bear harvest in Sweden is SSI. The disruption to social structures due to harvest causes a spatial reorganization in brown bears, seemingly as a result of competitive release from conspecifics. This is most pronounced among surviving individuals living in proximity of hunter-killed bears of the same-sex. These survivors consistently increased their use of the now vacant home ranges.

Furthermore, the strength of spatial responses of surviving individuals during reorganization was modulated by the sex, pairwise relatedness, and age of surviving and killed bears, in addition to hunting intensity and population density.

For males, their spatial reorganization is consistent with the time lag (~two years following harvest) of SSI found in other studies. We also found that harvest could contribute to the decrease in fine-scale genetic structure of brown bear matrilines. Fine-scale genetic structure is commonly used to identify important management units of wildlife populations.

Female brown bears are socially and spatially organized in matrilines. It is unknown how alterations to FGS could affect the persistence of populations. In the case of the Scandinavian brown bear population, changes to FGS could be an indication of selective harvest, the redistribution of male reproductive success, altered dispersal patterns, and increased individual turnover associated with high hunting pressure.

However, we provide empirical evidence that indirect effects of harvest exist, particularly through a spatial reorganization following harvest that can influence the risk of SSI. We suggest that managers of bear and other large carnivore populations apply the precautionary approach and assume that indirect effects do exist, which could have a potential impact on population structure and growth.