Thesis (Ph. D.)--University of Missouri-Columbia, 2000. / Typescript. Vita. Includes bibliographical references (leaves 92-99). Also available on the Internet.

abstract: ABSTRACT Human and wildlife behavior, governance, and economics are often cited obstacles to wildlife conservation. Accordingly, conservation research has historically been conducted in the exterior terrains of behavior and systems, which can be empirically observed or known through systemic analysis and applied through institutional or technical fixes. However, conservation interventions are failing because they do not adequately address the influence of individual and collective interior phenomena including psychological states, worldviews, values, and identities of stakeholders, which can bear decisively on conservation outcomes. This critical analysis of wildlife conservation science and the social and political histories of Southwestern landscapes illustrates the mechanism of social, cultural, and media narrative linking four irreducible perspectives of the natural world: the I, WE, IT and ITS, or the psychological, cultural, behavioral and structural/systemic terrains, which ground contemporary conservation. Through the conceptual [Re]animation of conservation, this research justifies a more-than-human approach to wildlife conservation that resists the ontological privilege of the human and contemplates human and non-human animals as vitally linked in their mutually relational, perceptual and material environments. The approach extends the human to the natural environment and also accounts for the individual and social needs and perspectives of wild animals, which shape their adaptation to changing environments and conservation interventions. A qualitative analysis of emotion, metaphor, and narrative utilizing an Integral Ecology framework explores how psychological and cultural terrains link to, and influence, the behavioral and systemic terrains of Mexican gray wolf (Canis lupus baileyi) conservation in the U.S. Southwest. This research disentangles and comprehensively maps influential elements in the four terrains; enhancing relational knowledge on human-predator coexistence and conservation governance in the Southwest. / Dissertation/Thesis / Doctoral Dissertation Environmental Social Science 2019

Masters of Art / The rapid increase in urbanisation and tourism in the Cape Peninsula has increased the rate of human-wildlife interaction. The Cape Peninsula is unique in terms of placing urban areas next to protected natural areas with no physical barriers, thus allowing animals, especially baboons, to travel between the two areas, occasionally leading to conflict between humans and wildlife. Visitors to popular tourist sites may also actively participate in feeding baboons or through negligence by leaving food items in the open. As a result, changing the habits of the baboons as human food and food waste are seen as the preferred option in terms of dietary habits. The main aim of this study was to investigate the perceptions and social construction of visitors in the Cape Peninsula towards baboons at tourist sites. Social constructionist theory was used as the theoretical framework for the study, which looks at the way people perceive nature and wildlife, which is unique to each person. The study uses an exploratory sequential mixed methods design, with a qualitative section that includes three semi-structured interviews, followed by a quantitative section consisting of a questionnaire survey, with 201 questionnaires being completed. The survey was conducted at key tourist sites around the Cape Peninsula that are well known for baboon sightings, including Bordjiesrif Picnic Site, Buffels Bay viewpoint, Cape of Good Hope/Cape Point and Dias Beach. The study used discourse analyses and the Statistical Package for the Social Sciences (SPSS) to analyse the data, which allowed for ideas to be labelled and linked to opinions in the literature, and patterns identified during the data collection. Visitors viewed tourism spaces as anthropocentric areas, and thus perceived baboon-visitor interactions through conditional acceptance. Visitor perceptions and social construction of baboon-visitor interactions may be positive when conditional acceptance is adhered to, and negative when conditional acceptance is broken. Recommendations for further research includes more research on non-consumptive tourism activities and its impact on human-wildlife interactions, with a need for more literature on the influence of education on people’s attitudes towards wildlife, and finally, more research that focuses on the changing behavioural ecology of baboons, due to an increase in tourism/visitation.

Thesis (M.S.)--Miami University, Dept. of Zoology, 2006. / Title from first page of PDF document. Includes bibliographical references.

Typescript. Includes vita and abstract. Bibliography: Includes bibliographical references (leaves 62-64). / During the nonbreeding season I observed the degree of site faithfulness of individual Sanderlings, Calidris alba, on the Pacific coast of southcentral Oregon, and the linear home range size was estimated. Home range size of Oregon birds and range sizes of individuals wintering in coastal areas of California and Peru were compared to determine if annual migration distance from the high arctic breeding ground is positively correlated with home range size. Oregon sanderlings on average remained within a minimum range of 17 kID during the nonbreeding season from October thrcugh April, although spring data are sparse. The Oregon home range is significantly larger than that of birds in Bodega Bay, California, and similar to that of birds in Peru. Therefore home range size is not correlated with distance from the breeding ground.

The impacts of human activities on the natural world have accelerated rapidly in recent centuries and decades. Consequent loss and fragmentation of natural habitats is the greatest threat to short and long-term survival of the planet’s rich biodiversity. Large carnivores are particularly sensitive to these changes, as many species rely on expansive natural areas to maintain healthy, genetically diverse populations. As a result, this charismatic clade is a focal point of conservation attention, and is also frequently used as a conservation umbrella to conserve other species which share their broad range of habitats. While diminished, fragmented populations and geographic isolation can be detrimental to species longevity, habitat corridors which connect populations throughout a broader human-dominated landscape provide resistance and resilience to the effects of isolation by maintaining genetic connectivity between sub-populations. Accordingly, understanding how large carnivores move through natural and non-natural landscapes to connect with other populations is a key area of research in movement ecology and conservation biology. In this dissertation, collaborators and I implemented open-source synthetic, comparative, and machine learning approaches to model the movement of tigers and jaguars, two ecologically vital and connectivity-dependent carnivore species, in regions of their ranges which are largely shared with humans. For Chapters 1 and 2, focusing on tigers in central India, we synthesized five independently derived layers of landscape resistance to derive consensus among existing research (Chapter 1) and comparatively test different movement simulation techniques’ abilities to predict tiger occurrence data (Chapter 2). We found that existing research efforts on habitat quality and potential connectivity areas for tigers in central India were more aligned than independent results indicated. We also derived a geospatial layer for “consensus connectivity areas (CCAs)” – areas where existing research agreed on high potential movement for tigers – and detailed the extensive current and future anthropogenic pressures on these important areas. Additionally, we found that while outputs from several popular techniques for simulating wildlife movement can predict in situ tiger occurrences, a circuit theory-based method, Circuitscape, performed best overall in this landscape and was the most robust to both inputs and validation data used for the analysis. In Chapter 3, we analyzed a collection of jaguar telemetry data to understand how the environmental responses of jaguar movements vary depending on the behavioral state of the animal. We found that jaguars in a higher (i.e., exploratory) movement state were more likely to move through anthropogenic areas, low tree cover, and areas farther from high tree cover. As similar, less risk-averse behavior has been reported in other carnivores during larger scale movements such as dispersal, these exploratory movement patterns may be a proxy for dispersal movement tendencies and thus more applicable for connectivity planning for jaguars, particularly in mixed-use landscapes. Collectively, this research provides insight into the movement ecology of two threatened large carnivore species as well as multiple open-source methodologies for modeling movement that can be applied to other research questions and conservation objectives worldwide.

As the dry season progresses across southern Africa, the availability and quality of food declines for large herbivores. Female white rhinos compensate for these declines by expanding and/or shifting their home ranges. These changes may be to incorporate habitat types that contain high quality food or quite simply more food. To determine the factors that drive these seasonal changes in home ranges, I focused on dry season changes in the availability and quality of grass in habitats utilised by white rhinos in the Ithala Game Reserve, South Africa. I expected that if food quality was the main driver, white rhinos would follow optimal foraging principles and incorporate habitat types with the highest nutritional quality into their dry season home ranges. Alternatively, due to their large body size (>1000 kg) and thus ability to survive on low quality food, they may rather incorporate habitat types with high food availability. In contrast to previous studies, I found that during the dry season female white rhinos did not increase the size of their home ranges, but rather shifted their home range boundaries. This resulted in individuals increasing the amount of Bushveld and decreasing the amount of Wooded Grasslands within their dry season home ranges. When I explored the different factors that could explain these patterns, I found that changes in the crude protein content of grass was the key factor driving the incorporation and exclusion of habitat types in the home ranges. During the dry season, white rhinos incorporated the habitat that had the smallest seasonal reduction in crude protein content, while excluding the one with the largest decrease in crude protein. As a result, my results suggest that the search for high quality best explains the seasonal home range shifts of female white rhinos in the Ithala Game Reserve. / Thesis (M.Sc.Ecology)-University of KwaZulu-Natal, Pietermaritzburg, 2013.

Recent years have seen a rapid growth in movement research owing to new technologies contributing to the miniaturization and reduced costs of tracking devices. Similar trends have occurred in how environmental data are being collected (e.g., through satellites, unmanned aerial vehicles, and sensor networks). However, the development of analytical techniques for movement research has failed to keep pace with the data collection advances. There is a need for new methods capable of integrating increasingly detailed movement data with a myriad of contextual data - termed context aware movement analysis (CAMA). CAMA investigates more than movement geometry, by including biological and environmental conditions that may influence movement. However, there is a shortage of methods relating movement patterns to contextual factors, which is still limiting our ability to extract meaningful information from movement data. This thesis contributes to this methodological research gap by assessing the state-of-the art for CAMA within movement ecology and human mobility research, developing innovative methods to consider the spatio-temporal differences between movement data and contextual data and exploring computational methods that allow identification of patterns in contextualized movement data. We developed new methods and demonstrated how they facilitated and improved the integration between high frequency tracking data and temporally dynamic environmental variables. One of the methods, multi-channel sequence analysis, is then used to discover varying human behaviour relative to weather conditions in a large human GPS tracking dataset from Scotland. The second method is developed for combing multi-sensor satellite imagery (i.e., image fusion) of differing spatial and temporal resolutions. This method is applied to a GPS tracking data on maned wolves in Brazil to understand fine-scale movement behaviours related to vegetation changes across seasons. In summary, this thesis provides a significant development in terms of new ideas and techniques for performing CAMA for human and wildlife movement studies.

The movements of two vervet monkey troops were studied to determine whether they optimize their rate of food intake in relation to seasonal energy availability. The effect of variation in habitat structure on the troops’ foraging strategies while utilizing temporally and spatially distributed resources was determined. Troop home range boundaries were delineated, the various plant communities and species utilised by the troops identified and classified, and variations in home range and vegetation structure were reported. The diets of the troops were determined and compared. Effects of coexistence on competition were assessed. Vervet food trees were randomly selected, marked and seasonal phenological data collected. Samples of food items constituting the two troops diets were collected for energy analysis. Using geostatistical interpolation techniques, monthly energy values were extrapolated onto home range grids for the two vervet monkey troops. Grids were stored as database files that were interrogated through GIS simulation models. Using the stochastic processes inherent in Markov chain theory, a series of non-returning random walks were simulated for comparison to original routes taken by the two troops. Results from comparisons of home range energy, day range lengths and areas, shortest route energy to actual route energy, time spent in high energy areas, and energy utilisation from actual and randomly generated routes indicated that the two troops optimize resource energy available to them by adopting flexible foraging strategies. In environments where temporal and spatial variations in habitat structure affect the distribution of resources, it is essential that animals develop optimal foraging strategies to survive. For the two troops investigated, foraging strategies fluctuate between being time minimizers in more heterogeneous environments where resources are abundant, and energy maximisers in homogeneous environments where resources are constrained by low diversity and seasonality. / Environmental Sciences (Department) / D.Litt et Phil (Environmental Management)

The movements of two vervet monkey troops were studied to determine whether they optimize their rate of food intake in relation to seasonal energy availability. The effect of variation in habitat structure on the troops’ foraging strategies while utilizing temporally and spatially distributed resources was determined. Troop home range boundaries were delineated, the various plant communities and species utilised by the troops identified and classified, and variations in home range and vegetation structure were reported. The diets of the troops were determined and compared. Effects of coexistence on competition were assessed. Vervet food trees were randomly selected, marked and seasonal phenological data collected. Samples of food items constituting the two troops diets were collected for energy analysis. Using geostatistical interpolation techniques, monthly energy values were extrapolated onto home range grids for the two vervet monkey troops. Grids were stored as database files that were interrogated through GIS simulation models. Using the stochastic processes inherent in Markov chain theory, a series of non-returning random walks were simulated for comparison to original routes taken by the two troops. Results from comparisons of home range energy, day range lengths and areas, shortest route energy to actual route energy, time spent in high energy areas, and energy utilisation from actual and randomly generated routes indicated that the two troops optimize resource energy available to them by adopting flexible foraging strategies. In environments where temporal and spatial variations in habitat structure affect the distribution of resources, it is essential that animals develop optimal foraging strategies to survive. For the two troops investigated, foraging strategies fluctuate between being time minimizers in more heterogeneous environments where resources are abundant, and energy maximisers in homogeneous environments where resources are constrained by low diversity and seasonality. / Environmental Sciences (Department) / D.Litt et Phil (Environmental Management)