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dc.contributor.authorBiffi Olivas, Daniellaen_US
dc.date.accessioned2014-07-22T18:49:07Z
dc.date.available2014-07-22T18:49:07Z
dc.date.created2014en_US
dc.date.issued2014en_US
dc.identifierTCU Master Thesisen_US
dc.identifieretd-05132014-103551en_US
dc.identifierumi-10467en_US
dc.identifiercat-002147395en_US
dc.identifier.urihttps://repository.tcu.edu:443/handle/116099117/4518
dc.descriptionTitle from thesis title page (viewed May 29, 2014).en_US
dc.descriptionIncludes abstract.en_US
dc.descriptionThesis--Texas Christian University, 2014.en_US
dc.descriptionDepartment of Biology; advisor, Dean Williams.en_US
dc.descriptionIncludes bibliographical references.en_US
dc.descriptionText (electronic thesis) in PDF.en_US
dc.description.abstractMarine otters (Lontra felina) are very difficult to observe and census. Currently, there is no reliable information on the population size of marine otters. Between June and August 2012 we collected 258 samples of marine otter feces from 7 localities in Peru. All locations were visited four times. 141 samples (55%) were successfully amplified at five to seven loci. We identified a minimum of 79 individuals across all locations from the genetic data for a density estimate of 4.4 otters per km. CAPWIRE estimates of N were greater than the minimum estimated from the genetic data (11 otters/km) and were almost 2-6X higher than previous estimates based on sightings. There was a strong relationship between the number of fresh scat and the number of detected otters, suggesting scat counts might be used to estimate the number of otters at a site.en_US
dc.publisher[Fort Worth, Tex.] : Texas Christian University,en_US
dc.relation.ispartofUMI thesis.en_US
dc.relation.requiresMode of access: World Wide Web.en_US
dc.relation.requiresSystem requirements: Adobe Acrobat reader.en_US
dc.titleUse of non-invasive techniques to determine population size of marine otter Lontra felina in two locations of Peru [electronic resource] /en_US
dc.typeTexten_US
etd.degree.departmentDepartment of Biology
etd.degree.levelMaster
local.academicunitDepartment of Biology


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