A spatio-temporal approach for exploring human-wildlife conflict using the kea (Nestor notabilis) as a case study

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dc.contributor.advisor Dennis, T en
dc.contributor.advisor Perry, G en
dc.contributor.advisor Kemp, J en
dc.contributor.author Kennedy, Erin en
dc.date.accessioned 2017-05-24T23:36:57Z en
dc.date.issued 2017 en
dc.identifier.uri http://hdl.handle.net/2292/33043 en
dc.description.abstract Globally, human-wildlife conflict is one of the main threats to the continued persistence of numerous species. In my thesis, I developed a spatio-temporal framework with the aim that it inform management of conflict-prone animal species such as the kea (Nestor notabilis). My specific research aims were to: 1.) characterise the movement and behavioural patterns of kea; 2.) quantify the nature and extent of kea interactions with anthropogenic infrastructure in their environment; 3.) explore how human activity may be affecting kea behavioural patterns; and 4.) assess the impact of human-wildlife conflict on kea population dynamics relative to other important threats. Applying a spatial framework to explore human-wildlife conflict requires the collection of spatio-temporal data to describe movement patterns and their relation to human features in the landscape. First, I assessed the use of animal-borne GPS telemetry as a means of collecting movement data from kea. I observed: no apparent adverse effect of the loggers on the condition of the kea; no damage to the devices that impaired their function; and that the operational performance provided high-resolution data sufficient characterising the movement patterns of wild kea. The high proportion of GPS fixes recorded in human areas and strength of habitat preference revealed that the kea in my study were attracted to human areas. Using a switching Monte-Carlo Markov-Chain model I was able to assign behavioural states to the GPS fixes, revealing that kea spent significantly more time on ground-based behaviours than flight. Kea demonstrated strong temporal variation in proximity to humans areas, and generally were in/or close to human areas at times of the day when human activity was highest. My results showed that individual kea clearly differ substantially in their movement patterns; most probably because of differences in age or reproductive status. Temporal variation in patterns of behaviour indicated that, for some individuals, durations of area-restricted behaviour varied as a function of proximity to human areas. The outcomes of a stochastic stage-based model used in a population viability analysis indicate that the biggest threat to kea populations is predation by introduced mammals, but as human populations continue to grow in kea habitats humaninduced mortality could become a major threat in the future. My results suggest the spatial approach adopted here is an effective means of describing fundamental aspects of humanwildlife interactions and potential conflict. As technology and the associated analytical toolkit continue to improve, I believe the use of spatio-temporal approach will prove to be a vital tool for exploring and mitigating human-wildlife conflict in a range of species. en
dc.publisher ResearchSpace@Auckland en
dc.relation.ispartof PhD Thesis - University of Auckland en
dc.relation.isreferencedby UoA99264940613602091 en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/nz/ en
dc.title A spatio-temporal approach for exploring human-wildlife conflict using the kea (Nestor notabilis) as a case study en
dc.type Thesis en
thesis.degree.discipline Biological Sciences en
thesis.degree.grantor The University of Auckland en
thesis.degree.level Doctoral en
thesis.degree.name PhD en
dc.rights.holder Copyright: The author en
dc.rights.accessrights http://purl.org/eprint/accessRights/OpenAccess en
pubs.elements-id 627185 en
pubs.record-created-at-source-date 2017-05-25 en

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