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Introduces readers to key case studies that illustrate how theory and data can be integrated to understand wildlife disease ecology.
Bovine spongiform encephalopathy (BSE) has become the most publicly recognizable example of a group of fatal neurodegenerative diseases caused by proteinaceous infectious particles called prions. The contributors to this volume, all internationally recognized experts in their fields, provide an introduction to prion biology, followed by reviews of the latest information on BSE, vCJD, and chronic wasting disease, an animal prion disease that has recently emerged in North America.
- A hypothesis is a proposition, set forth as an explanation for the occurrence of a phenomenon, that can be tested. - The basis for scientific investigation is the collection of information to formulate and test hypotheses. - Experimental methods measure the effect of manipulations caused by the investigator; observational methods collect information about naturally occurring events. - There are three sub-types of experimental techniques that differ in the way subjects are chosen for inclusion in the study, in the amount of control that the investigator has over variables, and in the method used to assess changes in other variables. - Descriptive observational studies dominate the early phase of most investigations and involve the description of disease-related events in the population. Associations among factors may be observed but the strength of the associations is not measured. - Analytical observation al techniques are of three basic types: prevalence surveys, case:control studies, and incidence or cohort studies. All attempt to explain the nature of relationships among various factors and to measure the strength of associations. - Prevalence surveys and case:control studies deal with disease existing at the time of the study; incidence studies are concerned with the development of disease over time. - Observational studies may be retrospective, using existing data, or prospective with collection of new information.
Winner of the Wildlife Society Outstanding Edited Book Award for 2013! Winner of the Texas Chapter of The Wildlife Society Outstanding Book Award for 2011! Winner of a CHOICE Outstanding Academic Title Award for 2011! Biology and Management of White-tailed Deer organizes and presents information on the most studied large mammal species in the world. The book covers the evolutionary history of the species, its anatomy, physiology, and nutrition, population dynamics, and ecology across its vast range (from central Canada through northern South America). The book then discusses the history of management of white-tailed deer, beginning with early Native Americans and progressing through management by Europeans and examining population lows in the early 1900s, restocking efforts through the mid 1900s, and recent, overabundant populations that are becoming difficult to manage in many areas. Features: Co-published with the Quality Deer Management Association Compiles valuable information for white-tailed deer enthusiasts, managers, and biologists Written by an authoritative author team from diverse backgrounds Integrates white-tailed deer biology and management into a single volume Provides a thorough treatment of white-tailed deer antler biology Includes downloadable resources with color images The backbone of many state wildlife management agencies' policies and a featured hunting species through much of their range, white-tailed deer are an important species ecologically, socially, and scientifically in most areas of North America. Highly adaptable and now living in close proximity to humans in many areas, white-tailed deer are both the face of nature and the source of conflict with motorists, home-owners, and agricultural producers. Capturing the diverse aspects of white-tailed deer research, Biology and Management of White-tailed Deer is a reflection of the resources invested in the study of the species’ effects on ecosystems, predator-prey dynamics, population regulation, foraging behavior, and browser physiology.
Incorporating new and updated information, this second edition of THE bestselling text in Bayesian data analysis continues to emphasize practice over theory, describing how to conceptualize, perform, and critique statistical analyses from a Bayesian perspective. Its world-class authors provide guidance on all aspects of Bayesian data analysis and include examples of real statistical analyses, based on their own research, that demonstrate how to solve complicated problems. Changes in the new edition include: Stronger focus on MCMC Revision of the computational advice in Part III New chapters on nonlinear models and decision analysis Several additional applied examples from the authors' recent research Additional chapters on current models for Bayesian data analysis such as nonlinear models, generalized linear mixed models, and more Reorganization of chapters 6 and 7 on model checking and data collection Bayesian computation is currently at a stage where there are many reasonable ways to compute any given posterior distribution. However, the best approach is not always clear ahead of time. Reflecting this, the new edition offers a more pluralistic presentation, giving advice on performing computations from many perspectives while making clear the importance of being aware that there are different ways to implement any given iterative simulation computation. The new approach, additional examples, and updated information make Bayesian Data Analysis an excellent introductory text and a reference that working scientists will use throughout their professional life.
Easily the most common of America’s large wildlife species, white-tailed deer are often referred to as "overabundant." But when does a species cross the threshold from common to overpopulated? This question has been the focus of debate in recent years among hunters, animal rights activists, and biologists. William McShea and his colleagues explore every aspect of the issue in The Science of Overabundance. Are there really too many deer? Do efforts to control deer populations really work? What broader lessons can we learn from efforts to understand deer population dynamics? Through twenty-three chapters, the editors and contributors dismiss widely held lore and provide solid information on this perplexing problem.
Information on white-tail deer population in 21 regions worldwide, covering: ecology, population, and management needs and opportunities.