Using camera traps to study behaviour in wild populations: a case study of the brown bear Ursus arctos

Clapham, Melanie, Nevin, Owen ORCID: https://orcid.org/0000-0003-3513-8053 , Ramsey, Andrew D. ORCID: https://orcid.org/0000-0002-5550-9977 and Rosell, Frank (2012) Using camera traps to study behaviour in wild populations: a case study of the brown bear Ursus arctos. In: 3rd European Conference on Conservation Biology (ECCB), 28 August - 1 September 2012, Glasgow, Scotland. (Unpublished)

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Abstract

Research on endangered species often relies on behavioural information to acquire data throughout a range of fields. The demographics of a population can be directly measured, yet the study of social behaviour, plasticity, and interactions is somewhat restricted. Brown bears are a species which, due to their solitary and wide-ranging ecology, are thought to rely heavily on chemical signals as a means of communication. Conducted off the west-coast of British Columbia, Canada, we used camera traps orientated towards bear marking trees to assess behavioural differences between age/sex classes, and by season, to interpret the function of chemical signalling in the species. With camera trapping technology advancing, we are now better equipped to study animal behaviour in less invasive ways in the field. By developing techniques we have been able to study complex interactions and behaviours not possible of bears in captivity. Non-invasive methods used in population assessment (e.g. DNA from hair snares) have begun to make use of scent marking behaviour. However, prior knowledge of the relationship between these sites and the species being studied is required to allow for better estimates to be derived, by accounting for behavioural bias in sampling.

Item Type:	Conference or Workshop Item (Paper)
Departments:	Research Centres > Centre for National Parks and Protected Areas (CNPPA)
Depositing User:	Anna Lupton
Date Deposited:	25 Jan 2018 15:18
Last Modified:	12 Jan 2024 11:01
URI:	https://insight.cumbria.ac.uk/id/eprint/3567

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