Drawing on anthropocentric, ecocentric and biocentric worldviews, I examine the use of research animals as a case to investigate human-animal interactions in science. Specifically, I investigate a case of potential tensions between eco- and biocentric worldviews by examining oversight mechanisms of animal care during research. Despite abundant focus on responsible care of laboratory animals, I argue that inattention to the treatment of wildlife constitutes an ethical shortcoming in contemporary animal research. I review significant shortcomings in legal and institutional oversight and argue for the relatively rapid and transformational potential of editorial oversight in preventing inhumane treatment to vertebrates studied in the field and outside the direct supervision of institutions. Straightforward changes to animal care policies in journals, which the analysis of 206 journals suggests are in many cases absent (34%), weak, incoherent, or neglected by researchers, could provide a practical, effective, and rapidly imposed safeguard against unnecessary suffering. The ARROW (Animal Research: Reporting on Wildlife) guidelines, an original contribution to the present work, coupled with strong enforcement, could result in significant changes to how animals involved in wildlife research are treated. The research process would also benefit. In many cases, reliability, validity, and replicability of data requires animal subjects to be physically, physiologically, and behaviorally unharmed. Accordingly, publication of methods that contravenes animal welfare principles risks perpetuating inhumane approaches and bad science. I conclude by assessing whether paradigms have shifted from anthropocentric to non-anthropocentric approaches to interacting with animals in research, and offer practical and conceptual suggestions for ensuring humane human-animal interactions. / Graduate / 2020-04-05

Thesis (M.S.)--University of North Texas, May, 2009. / Title from title page display. Includes bibliographical references.

Madagascar’s lemurs are the most endangered group of mammals in the world, with 94% of species threatened with extinction. Forest loss is one the greatest threat to these arboreal primates, but hunting, habitat degradation, and climate change also threaten their survival. Lemurs are a diverse group of more than 100 species; and their ecological traits shape how species respond to anthropogenic pressure. Incorporating knowledge of species’ ecological niches and evolutionary histories can contextualize threats and improve conservation assessments. In this dissertation, I investigate what constitutes suitable habitat for lemurs in light of the threats present, their sensitivity to forest fragmentation, their dispersal ability, and their ecological uniqueness. I obtained data about lemur distributions in two ways. First, I conducted field surveys of the Critically Endangered blue-eyed black lemur (Eulemur flavifrons), which only occurs in the ecotone between eastern rainforest and western dry forest in the Sahamalaza region. I also surveyed the range of sister species, the black lemur (E. macaco), which inhabits nearby eastern rainforest in the Manogarivo region. I focused on areas that have not been surveyed recently and on the poorly studied boundary between the species to collect observations from the breadth of these species’ ecological ranges. I also documented threats, including incursions into protected areas, and collected fecal samples to test whether whole genomes could be obtained noninvasively for analyses of local adaptation in these species. Second, I searched online databases and published literature for GPS localities for all species of lemur. I used these records, along with the ones collected in the field, to construct ecological niche models for nearly all species of lemur using Maxent. For the blue-eyed black lemur and the black lemur, I estimated the remaining area they can occupy based on these models and the threat survey data. Next, I examined the role of not just forest loss, but forest degradation, in determining where lemur species occur. I used high-resolution forest cover maps to determine lemurs’ tolerance for characteristics of degraded forest, including distance to the edge and mean patch size. I then limited species niche model to only intact, forested habitat. Lastly, using the sportive lemurs (genus Lepilemur) as an example, I evaluate how the inability to disperse across large rivers has influenced ecological niche diversity. I also examine what limited dispersal ability will mean for these species as climate change causes their ranges to shift. Field surveys in the Sahamalaza and Manongarivo regions revealed extensive threats to blue-eyed black lemurs, from traps to cattle incursions and fire. I found no evidence of sympatry, but did locate an undocumented population of E. flavifrons north of the Andranomalaza River. Madagascar National Parks (MNP) managed protected areas appear to have less human incursion than NGO-managed protected areas. Further investigation of the ecological distinctiveness of these species is possible via non-invasive methods: I sequenced whole genomes at 2.3x coverage from eight of the fecal samples collected during this study. While SNPs indicating a loss of function did not reveal any patterns, sequencing additional samples could make studies of local adaptation and population genetic diversity possible. At the regional scale, forest conversion is a grave threat to lemurs. When forest loss and degradation are considered in habitat models, lemur species have lost 51% of their habitat in the last 30 years. Proximity to a forest edge rendered more forested areas too degraded for lemurs than did mean patch size. This result is likely the influence of human contact nearer the forest edge. I recommend urgent support for reserves like Beanka, Tsimembo Forest, Ranobe PK 32, and Amoron’i Onilahy, which have highly suitable, intact forest for many lemur species. Spaces like these will be important for conserving the remarkable diversity within the sportive lemur clade. Though their distribution is largely explained by riverine barriers, I show a role for ecological niche divergence and local adaptation in accelerating allopatric speciation. These same rivers will limit their ability to track climatically suitable areas as climate change progresses: sportive lemurs as a group will lose nearly a quarter of their accessible habitat to climate change by the 2070s. While my results are focused on the particulars of lemur conservation in Madagascar, the methods I have presented here are broadly applicable to other threatened species. Piggybacking fecal sample collection onto rapid field surveys is straightforward. The possibility of obtaining whole genomes from non-invasive samples presents a new way to answer questions about local adaptation without risking injury to other arboreal study subjects, like Neotropical monkeys, or for elusive species like big cats. For threatened species, their climatic niche only dictates part of their distribution. The habitat quantification pipeline presented here takes advantage of thirty-five years of research in Madagascar to estimate species’ tolerance for forest fragmentation. While these records are impressive for primates, they are dwarfed by those available for passerines, through scientific literature and online repositories like eBird. By integrating field surveys, ecological niche modeling, and non-invasive genomics, we can begin to understand the complex threats facing species like lemurs and the options for ensuring their survival.

No description available.

Voltaire wrote "With great power comes responsibility", a quote which can easily be applied to scientists nowadays whose work effectively shapes the life of billions of living beings, operating through various disciplines from medicine through to ecology. To help scientists working with wild creatures, animal-attached electronic devices, commonly referred to as 'tags', have become indispensable tools, pushing the boundaries into the unimaginable enabling, for instance, information to be sent from animals into space and back via satellites. This 'great power' does indeed come with 'responsibility' however, as evidence piles up of the deleterious effects of tags on their animal carriers. The aim of this doctoral project is to provide scientists with an analytical framework within which to examine the effects of external tags on wild animals with a view to providing guidelines informing best practise in animal tagging. For that purpose, an integrative, multidisciplinary approach was undertaken which, from a theoretical to an experimental level, assessed the impact of tags on birds. With a main focus on marine birds, the results show that tag effects ranged from behavioural aberrations to compromised energetics, ultimately reducing both flying and swimming performance. This impact varied as a function of tag size, mass, shape, position and attachment, as well as being dependent on bird morphology and lifestyle. The length of time to which a bird is exposed to deleterious tag effects appears critical since these effects can snowball over time. Fortunately, and as reported in this thesis, there are simple rules which can be implemented to help minimise tag impact even for long-term studies, mainly through an optimised tag design and innovative attachment system. So, happily, this thesis shows that by careful thinking, we can benefit maximally from our 'great power' and thus ensure that our 'responsibilities' to wild animals are best informed.

No description available.

The Cooperative Fishery and Wildlife Research Units program is a federal-state-private cooperative program of training, research, and technical assistance. Formally authorized by Congress in 1960, the program actually began 26 years earlier with establishment of wildlife units at land grant universities in Virginia, Oregon, and Iowa. Each unit, of which there are 50 today, functions under a cooperative agreement involving the U.S. Fish and Wildlife Service, the state conservation agency, the university where the unit is located and the Wildlife Management Institute (wildlife units and combined fishery and wildlife units only). In recent years the program has been criticized as not being a truly cooperative media for research, education, and public services that meet the needs of cooperators and produce the intended benefits. In addition, particularly at the federal level, the program has not fared well in competition with other programs for limited manpower and financial resources. Before effectiveness of a program can be judged or justified, its inputs and outputs must be understood, not only in terms of quantity, but also in terms of quality. This study, through literature review, questionnaires, letters and personal interviews attempts to: 1) identify and define unit outputs; 2) develop criteria for measuring the quality and quantity of the outputs; 3) integrate output data into a method for evaluating effectiveness; and 4) provide cooperators in the program with a methodology for program evaluation. The study does not involve an actual program evaluation or justification. Rather, it provides cooperators with a methodology for program evaluation. / Master of Science

The continual increase in elephant numbers across southern Africa raises concern, though the interventions to manage these populations are more contentious. Within small, enclosed reserves active management is necessary to limit elephant impact. Various management tools exist with which to control fluctuations in elephant population numbers or density and simulate natural large stochastic events to control population growth. During this study, undertaken in the Munyawana Conservancy, KwaZulu-Natal, and Pilanesberg National Park, North West Province, South Africa, several management options were implemented. In order to lower the population numbers, family groups were translocated from the Munyawana Conservancy to other reserves, while to reduce population growth rate an immunocontraception was implemented. Both conservation areas introduced older bulls to normalise the bull population age structure, and expanded the conservation area by inclusion of new land to reduce population density. The influence of these management interventions on the elephant population were measured by their social, behavioural, spatial and movement responses. The older bull introduction was successful as bulls set up exclusive bull areas. There was a quick, subtle affect on the bull groups' size immediately after the older bull introduction, while there was no immediate change within the resident bulls' musth behaviour or duration. During area expansion, elephants appeared to perceive the new unexplored area as a threat although this threat became reduced through time as they became more familiar with it. The spatial scale of response was relatively small, while the temporal scale of response was relatively large. Rotational immunocontraception was shown to be a successful tool to alter herd structure by aging the population and maintaining a low population growth rate. The process of immunocontraception darting had no significant effect on herd associations and movement rates, accordingly the duration of the disruption effects were short lived. During multi-management interventions, no differences were found within the elephant social grouping. Management interventions may pose unforeseen social risks and different populations may respond differently to management induced stress. Therefore, interventions need to be considered for each elephant population which will achieve the conservation area's objectives with the most effective outcome, but with lowest holistic impact. / Thesis (M.Sc.)-University of KwaZulu-Natal, Westville, 2012.

Thesis (M.Int.)--University of Pretoria, 2004. / Title from opening screen (viewed 11 April 2005). Includes summary. Includes bibliographical references.

Wildlife tracking is an essential task to gain better understanding of the migration pattern and use of space of the wildlife. Advances in computer technology and global positioning systems (GPS) have lowered costs, reduced processing time, and improved accuracy for tracking wild animals. In this thesis, a wildlife tracking extension is developed for ArcGIS 9.x, which allows biologists and ecologists to effectively track, visualize and analyze the movement patterns of wild animals. The extension has four major components: (1) data import; (2) tracking; (3) spatial and temporal analysis; and (4) data export. Compared with existing software tools for wildlife tracking, the major features of the extension include: (1) wildlife tracking capabilities using a dynamic data layer supported by a file geodatabase with 1 TB storage limit; (2) spatial clustering of wildlife locations; (3) lacunarity analysis of one-dimensional individual animal trajectories and two-dimensional animal locations for better understanding of animal movement patterns; and (4) herds evolvement modeling and graphic representation. The application of the extension is demonstrated using simulated data, test data collected by a GPS collar, and a real dataset collected by ARGOS satellite telemetry for albatrosses in the Pacific Ocean.