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Poster PresentationWhat Does Time Matter? The Impact of Temporal Samplingin Home Range Area CalculationsJonathan AlvarezAmy Klegarth, Dept. of Biological Sciences, University of Notre DameAdvisors: Hope Hollocher, Dept. of Biological Sciences,and Agustin Fuentes, Dept. of Anthropology, University of Notre DameGlobal Positioning System (GPS) are currently widely used to study larger mammals, includingcarnivores and ungulates. Only recently have GPS collars been a viable method to studyprimates, as size restrictions hindered potential studies. The constant locational updates as wellas their noninvasive nature after deployment provide great utility for managers by helping themmodel future ranging patterns based on past land use. GPS collars remove a potential bias ofresearches closely following primate groups and provide a simple method of acquiring data fromanywhere in the world.Results from a previous study in Singapore, which used GPS collars to track daily and homeranges for 3 monkeys, show that home range sizes calculated using Minimum Convex Polygons(MCPs) display a significant increasing trend with the iterative addition of sample points. Recentstatistical analyses show that when the same home range areas are calculated using KernelDensity Estimations (KDEs), the significance between sample sizes is no longer present.However, linear regressions of the data suggest that the difference between sample sizesbecomes significantly smaller as more points are added.This project aims to apply the methods from the Singapore study to six different monkeyslocated in Gibraltar. The Gibraltar monkeys have been collared for five months as opposed totwo months for the Singapore monkeys. This increased data size allows the project to examinethe temporal element of the iterative analysis.Ultimately, the results from this project will inform future analytic methods for a larger collarproject in Singapore. The information about home range size and general movement behaviorwill be incorporated within a landscape genetic Geographic Information Systems model.Specifically, this project will help parameterize migration ability based on recorded home rangeareas as well as distance and movement rates.21