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Monitoring and Conserving Wildlife Communities across Northern Botswana

dc.contributor.authorRich, Lindsey N.en
dc.contributor.committeechairKelly, Marcella J.en
dc.contributor.committeememberAlexander, Kathleen A.en
dc.contributor.committeememberRobinson, Hugh S.en
dc.contributor.committeememberKarpanty, Sarah M.en
dc.contributor.departmentFisheries and Wildlife Scienceen
dc.date.accessioned2018-03-22T06:00:32Zen
dc.date.available2018-03-22T06:00:32Zen
dc.date.issued2016-09-27en
dc.description.abstractTo develop effective conservation planning and mitigate biodiversity loss, standardized metrics for monitoring and assessing biodiversity are needed. This information is particularly vital in Botswana, where knowledge of many of the diverse wildlife populations is lacking. To address this knowledge gap, my dissertation research evaluated the distributions, densities, and ecology of the wildlife community in northern Botswana, with a focus on terrestrial carnivore species given their importance both ecologically and economically. My objectives were threefold: 1) estimate the distributions of the mammal community (n = 44 species) and evaluate community, group, and species-specific responses to anthropogenic and environmental variables, 2) test whether the presence of intraguild species or resource availability had a larger influence on the seasonal distributions of carnivore species, and 3) simultaneously estimate the population densities of 7 carnivore species. To accomplish these objectives, I completed a multi-year camera trap survey in a 1,154-km2 study area and analyzed the data using occupancy models (single and multi- species) and spatially explicit capture-recapture models. Estimates of species richness ranged from 8 to 27 unique species, species had a mean occurrence probability of 0.32 (95% credible interval = 0.21–0.45), and estimated densities ranged from 1.8 aardwolves (Proteles cristata) to 12.7 spotted hyenas (Crocuta crocuta) per 100 km2. The occupancy and richness of terrestrial mammals was negatively associated with human disturbance and in general, positively associated with open grasslands/floodplains. Carnivore species, specifically, tended to have greater species richness and larger population densities in open habitats than in closed. I also found carnivore distributions were positively associated with the detection rate of intraguild competitors and predators, suggesting competitor/predator avoidance did not play a large role in shaping carnivore community structure. My research highlights the pivotal role protected areas and grasslands play in conserving wildlife populations in northern Botswana. Additionally, my research helps progress camera trap analyses from single to multi-species assessments. Broader application of this multi-species approach would likely result in a better understanding of wildlife and carnivore communities which in turn, may help inform management actions aimed at addressing the loss of wildlife populations globally.en
dc.description.abstractgeneralTo conserve wildlife populations, information is needed on where species live, the resources (e.g., food, water, and shelter) they require, and how many there are. This information is particularly important in Botswana, where knowledge of many wildlife populations is lacking. To address this knowledge gap, my dissertation research evaluated the distributions, densities, and ecology of the wildlife community in northern Botswana, with a focus on carnivores given their importance both ecologically and economically. My objectives were threefold: 1) estimate the distributions of the mammal community (<i>n</i> = 44 species) and evaluate community, group, and species-specific responses to human and environmental variables, 2) test whether the presence of competitors/predators or resource availability had a larger influence on the seasonal distributions of carnivore species, and 3) estimate the population densities of 7 carnivore species. To accomplish these objectives, I completed a multi-year camera trap survey in a 1,154-km<sup>2</sup> study area and analyzed the data using advanced analytical techniques. I photographed 44 species of mammals and the estimated number of species per camera station ranged from 8 to 27. My estimated densities ranged from 1.8 aardwolves (<i>Proteles cristata</i>) to 12.7 spotted hyenas (<i>Crocuta crocuta</i>) per 100 km<sup>2</sup>. Overall, mammal species were more likely to occupy grasslands and floodplains that were located further into protected areas (i.e., far from human disturbance). Open habitats seemed to be particularly important to carnivore species. In general, there were more carnivore species and these species had higher densities in open habitats than in closed. My results suggest carnivores did not avoid their competitors and predators by spatially separating themselves on the landscape, as has been found in the Serengeti. My research highlights the pivotal role protected areas and grasslands play in conserving wildlife populations, and advances camera trap analyses from assessments of a single species to assessments of entire wildlife communities. My research approach is applicable to camera trap studies worldwide and broader application would likely result in a better understanding of wildlife and carnivore communities. This information, in turn, can help inform management actions aimed at addressing the loss of wildlife populations around the globe.en
dc.description.degreePh. D.en
dc.format.mediumETDen
dc.identifier.othervt_gsexam:8904en
dc.identifier.urihttp://hdl.handle.net/10919/82537en
dc.language.isoenen
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectcamera trapen
dc.subjectcarnivoreen
dc.subjectmultispecies modellingen
dc.subjectpopulation densityen
dc.subjectspecies richnessen
dc.titleMonitoring and Conserving Wildlife Communities across Northern Botswanaen
dc.typeDissertationen
thesis.degree.disciplineFisheries and Wildlife Scienceen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.namePh. D.en

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