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dc.contributor.advisorMacKenzie, Monique Lea
dc.contributor.advisorScott-Hayward, Lindesay Alexandra Sarah
dc.contributor.advisorMorgado, Fernando (Marine ecologist)
dc.contributor.authorEstevinho Santos Faustino, Cláudia
dc.coverage.spatial[7], ii, 282 p.en_US
dc.date.accessioned2020-07-06T08:13:14Z
dc.date.available2020-07-06T08:13:14Z
dc.date.issued2020-07-28
dc.identifier.urihttp://hdl.handle.net/10023/20210
dc.description.abstractThe movements of critically endangered vultures, equipped with satellite-based tracking devices in Namibia, were inspected using Generalized Additive Models. Models incorporated spatially adaptive (1D and 2D) smooths via the Spatially Adaptive Local Smoothing Algorithm (SALSA) and Complex REgion Spatial Smoother (CReSS) method. The correlated nature of geo-location data was address via robust standard errors. The results of this thorough and integrative study of movement ecology have an unprecedented level of detail, far exceeding what is available in the literature. Namely, vultures were seen throughout Namibia and its five neighbouring countries with three individuals visiting locations farther than 1,000 km from where they were initially seen. Large variability was found both within and between birds. Differences were perceived in four daily movement properties, even though temporal differences were only captured for daily distance travelled (monthly) and daily maximum displacement (seasonally). There was noticeable variation in the size of the areas each bird used from month to month, often showing very little spatial overlap. Home ranges varied greatly; one bird expanded its monthly home range as much as nineteen times its smaller size. Contrastingly, core areas remained sometimes constant. Home ranges were three to five times larger than the respective core areas, clearly indicating a non-uniform use of the environment. The extensive study area (2.3 million sq.km) was characterised using habitat features, climate conditions and indices of human presence. Vegetation index, minimum distance to river and minimum distance to road were consistently important in explaining the probability of bird presence. Nonetheless, each vulture used its environment in its own way. These novel findings support trans-frontier conservation measures, represent crucial support to revise the geographic extent of existing conservation actions and constitute the basis to predict the risk of exposure of vultures to lethal threats or to assess changes under Climate Change scenarios.en_US
dc.description.sponsorship"This work was supported by the Fundação para a Ciência e Tecnologia (Portugal) [grant number PD/BD/113551/2015] and the European Social Fund under the III European Community Support Framework."en
dc.language.isoenen_US
dc.publisherUniversity of St Andrews
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectAnimal movementen_US
dc.subjectEcological modellingen_US
dc.subjectHabitat useen_US
dc.subjectSpecies distributionen_US
dc.subjectWildlife conservationen_US
dc.subject.lccQL696.F32E8
dc.subject.lcshVultures--Monitoring--Namibia--Case studiesen
dc.subject.lcshAnimal behavior--Statistical methodsen
dc.subject.lcshBiogeography--Namibiaen
dc.subject.lcshWildlife conservation--Namibiaen
dc.titleMovement ecology and conservation : the case of African vulturesen_US
dc.typeThesisen_US
dc.contributor.sponsorFundação para a Ciência e Tecnologia (Portugal)en_US
dc.contributor.sponsorEuropean Social Funden_US
dc.type.qualificationlevelDoctoralen_US
dc.type.qualificationnamePhD Doctor of Philosophyen_US
dc.publisher.institutionThe University of St Andrewsen_US
dc.publisher.departmentUniversity of Aveiroen_US
dc.identifier.doihttps://doi.org/10.17630/10023-20210


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    Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
    Except where otherwise noted within the work, this item's license for re-use is described as Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International