Quantitative Analyses in Wildlife Science


Book Description

An authoritative guide to quantitative methods that will help wildlife scientists improve analysis and decision-making. Over the past fifty years, wildlife science has become increasingly quantitative. But to wildlife scientists, many of whom have not been formally trained as biometricians, computer modelers, or mathematicians, the wide array of available techniques for analyzing wildlife populations and habitats can be overwhelming. This practical book aims to help students and professionals alike understand how to use quantitative methods to inform their work in the field. Covering the most widely used contemporary approaches to the analysis of wildlife populations and habitats, Quantitative Analyses in Wildlife Science is divided into five broad areas: • general statistical methods • demographic estimation • dynamic process modeling • analysis of spatially based data on animals and resources • numerical methods Addressing a variety of topics, from population estimation and growth trend predictions to the study of migration patterns, this book presents fresh data on such pressing issues as sustainable take, control of invasives, and species reintroduction. Authored by leading researchers in wildlife science, each chapter considers the structure of data in relation to a particular analytical technique, as well as the structure of variation in those data. Providing conceptual and quantitative overviews of modern analytical methods, the techniques covered in this book also apply to conservation research and wildlife policy. Whether a quick refresher or a comprehensive introduction is called for, Quantitative Analyses in Wildlife Science is an indispensable addition to every wildlife professional's bookshelf. Contributors: William M. Block, Leonard A. Brennan, Stephen T. Buckland, Christopher C. Chizinski, Evan C. Cooch, Raymond J. Davis, Stephen J. DeMaso, Randy W. DeYoung, Jane Elith, Joseph J. Fontane, Julie A. Heinrichs, Mevin B. Hooten, Julianna M. A. Jenkins, Zachary S. Laden, Damon B. Lesmeister, Daniel Linden, Jeffrey J. Lusk, Bruce G. Marcot, David L. Miller, Michael L. Morrison, Eric Rexstad, Jamie S. Sanderlin, Joseph P. Sands, Erica F. Stuber, Chris Sutherland, Andrew N. Tri, David B. Wester, Gary C. White, Christopher K. Williams, Damon L. Williford




Quantitative Analyses in Wildlife Science


Book Description

Williams, Damon L. Williford




Quantitative Methods in The Study of Animal behavior


Book Description

Quantitative Methods in the Study of Animal Behavior covers a symposium on quantitative methods in behavior. In this book, mathematics is used in two ways – statistical approaches (techniques that describe the main patterns and variability of behavior patterns) and model building. Composed of six chapters, the book opens with a discussion on the three areas of classical ethology – social dominance, behavioral taxonomy, and behavioral variability. The following chapter focuses on the information theory as an ethological tool. In Chapter 3, application of multivariate analyses to diverse ethological data is discussed. The next part of the book discusses more in detail the animal behavioral patterns, relationships, and sequences. The book is a good reference for various fields such as biological science, marine science, and zoology. Students, teachers, scientists, and researchers interested in the aspects of statistics and patterns in animal behavior can make use of this book as a valuable resource.




Analysis and Management of Animal Populations


Book Description

Analysis and Management of Animal Populations deals with the processes involved in making informed decisions about the management of animal populations. It covers the modeling of population responses to management actions, the estimation of quantities needed in the modeling effort, and the application of these estimates and models to the development of sound management decisions. The book synthesizes and integrates in a single volume the methods associated with these themes, as they apply to ecological assessment and conservation of animal populations. Integrates population modeling, parameter estimation and decision-theoretic approaches to management in a single, cohesive framework Provides authoritative, state-of-the-art descriptions of quantitative approaches to modeling, estimation and decision-making Emphasizes the role of mathematical modeling in the conduct of science and management Utilizes a unifying biological context, consistent mathematical notation, and numerous biological examples




Wildlife Science


Book Description

Despite the potential synergy that can result from basing management applications on results from research, there is a polarization of cultures between wildlife managers and wildlife researchers. Wildlife Science: Connecting Research with Management provides strategies for bridging cultural and communication gaps between these groups.Contributors p




Wildlife Ecology, Conservation, and Management


Book Description

To understand modern principles of sustainable management and the conservation of wildlife species requires intimate knowledge about demography, animal behavior, and ecosystem dynamics. With emphasis on practical application and quantitative skill development, this book weaves together these disparate elements in a single coherent textbook for senior undergraduate and graduate students. It reviews analytical techniques, explaining the mathematical and statistical principles behind them, and shows how these can be used to formulate realistic objectives within an ecological framework. This third edition is comprehensive and up-to-date, and includes: Brand new chapters that disseminate rapidly developing topics in the field: habitat use and selection; habitat fragmentation, movement, and corridors; population viability. analysis, the consequences of climate change; and evolutionary responses to disturbance A thorough updating of all chapters to present important areas of wildlife research and management with recent developments and examples. A new online study aid – a wide variety of downloadable computer programs in the freeware packages R and Mathcad, available through a companion website. Worked examples enable readers to practice calculations explained in the text and to develop a solid understanding of key statistical procedures and population models commonly used in wildlife ecology and management. The first half of the book provides a solid background in key ecological concepts. The second half uses these concepts to develop a deeper understanding of the principles underlying wildlife management and conservation. Global examples of real-life management situations provide a broad perspective on the international problems of conservation, and detailed case histories demonstrate concepts and quantitative analyses. This third edition is also valuable to professional wildlife managers, park rangers, biological resource managers, and those working in ecotourism.




Applications for Advancing Animal Ecology


Book Description

Practical guidance for wildlife professionals working to improve study design, data analysis, and the application of results to habitat and population management. Winner of the Wildlife Society Publications Book Award by The Wildlife Society Despite major advances in sampling techniques and analytical methods, many animal ecologists conduct research that is primarily relevant to a specific time and place. They also tend to focus more on the statistical analyses and nuances of modeling than actual study design. Arguing that studies of animal ecology should always begin with a focus on the behaviors and characteristics of individual organisms, including how they form into distinct biological populations, Applications for Advancing Animal Ecology takes a fresh and critical look at the field. Building from its companion volume, Foundations for Advancing Animal Ecology, this practical book presents readers with the principal methods used to observe animal behavior. Teaching them to assess resource abundance categories of species-environmental relationships models, it also explores • major aspects of measuring animal habitat: what to measure and how to measure it; • common sampling and estimation methods to assess population parameters; • when to measure and how to analyze data; • problems that will confront ecologists in the coming years—and how to gather information to adequately address them; and • how the experimental approach can be used to advance the science of animal ecology. Throughout the book, the authors stress the importance of speaking a common and well-defined language. Avoiding vague and misleading terminology, they assert, will help ecologists translate science into meaningful and lasting actions in the environment. Taking the perspective of the organism of interest in developing concepts and applications, the authors always keep the potentially biased human perspective in focus. They also provide a selection of suggested research projects, cautions, and caveats. A major advancement in understanding the factors underlying wildlife–habitat relationships, Applications for Advancing Animal Ecology will be an invaluable resource to natural resource management professionals and practitioners, including state and federal agencies, non-governmental organizations, and environmental consultants.




The Science and Management of Uncertainty


Book Description

Uncertainty can take many forms, can be represented in many ways, and can have important implications in decision-making and policy development. This book provides a rigorous scientific framework for dealing with uncertainty in real-world situations, and provides a comprehensive study of concepts, measurements, and applications of uncertainty in ecological modeling and natural resource management. The focus of this book is on the kinds and implications of uncertainty in environmental modeling and management, with practical guidelines and examples for successful modeling and risk analysis in the face of uncertain conditions and incomplete information. Provided is a clear classification of uncertainty; methods for measuring, modeling, and communicating uncertainty; practical guidelines for capturing and representing expert knowledge and judgment; explanations of the role of uncertainty in decision-making; a guideline to avoiding logical fallacies when dealing with uncertainty; and several example cases of real-world ecological modeling and risk analysis to illustrate the concepts and approaches. Case topics provide examples of structured decision-making, statistical modeling, and related topics. A summary provides practical next steps that the reader can take in analyzing and interpreting uncertainty in real-world situations. Also provided is a glossary and a suite of references.




Observing Animal Behaviour


Book Description

This book introduces the reader to the power of observation before, and sometimes instead of, experimental manipulation in the study of animal behaviour. It starts with simple and easily accessible methods suitable for student projects, before going on to demonstrate the possibilities that now exist for far more sophisticated analyses of observational data. At a time when animal welfare considerations are attracting political as well as scientific debate, the potential for non-intrusive studies on animals is being increasingly recognized. Observation emerges as a valuable alternative approach, often yielding highly informative results in situations (such as on zoos, farms or for wild animals) where more invasive experimental techniques would be undesirable, unethical or just plain impossible. However, to justify its place alongside experimentation as a rigorous scientific method, observation needs to be just as disciplined and systematic and have just as much attention paid to project design in the way that observations are made and recorded. Observing Animal Behaviour takes the reader through all these stages: from the initial observations, to the formulation of hypotheses, and their subsequent testing with further systematic observations. Although designed principally as a companion text for advanced undergraduate and students taking courses in animal behaviour, this accessible text will be essential reading for anyone wanting to study animal behaviour using observational methods rather than experimentation, and assumes no previous knowledge of animals, statistics or scientific method. It will be of particular relevance and use to those professional researchers and consultants in the behavioural sciences who seek a compact but comprehensive introduction to the quantitative observation of animal behaviour.




Wildlife-Habitat Relationships


Book Description

Wildlife-Habitat Relationships goes beyond introductory wildlife biology texts to provide wildlife professionals and students with an understanding of the importance of habitat relationships in studying and managing wildlife. The book offers a unique synthesis and critical evaluation of data, methods, and studies, along with specific guidance on how to conduct rigorous studies. Now in its third edition, Wildlife-Habitat Relationships combines basic field zoology and natural history, evolutionary biology, ecological theory, and quantitative tools in explaining ecological processes and their influence on wildlife and habitats. Also included is a glossary of terms that every wildlife professional should know.