Parameter Estimation for Animal Populations PDF Download

Author: Larkin Powell
Publisher: Lulu.com
ISBN: 1329061519
Category : Science
Languages : en
Pages : 258

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Book Description
This book is a simple introduction to the logic behind analyses and sampling design for mark-recapture and survey efforts. With a focus on the early user and beginner, the book explains the complicated formulas and statistics that can be effectively used around the world in support of conservation efforts.

Author: Byron K. Williams
Publisher: Academic Press
ISBN: 0127544062
Category : Juvenile Nonfiction
Languages : en
Pages : 837

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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

Author: George A. F. Seber
Publisher: Springer
ISBN: 3030181871
Category : Mathematics
Languages : en
Pages : 669

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Book Description
This comprehensive book, rich with applications, offers a quantitative framework for the analysis of the various capture-recapture models for open animal populations, while also addressing associated computational methods. The state of our wildlife populations provides a litmus test for the state of our environment, especially in light of global warming and the increasing pollution of our land, seas, and air. In addition to monitoring our food resources such as fisheries, we need to protect endangered species from the effects of human activities (e.g. rhinos, whales, or encroachments on the habitat of orangutans). Pests must be be controlled, whether insects or viruses, and we need to cope with growing feral populations such as opossums, rabbits, and pigs. Accordingly, we need to obtain information about a given population’s dynamics, concerning e.g. mortality, birth, growth, breeding, sex, and migration, and determine whether the respective population is increasing , static, or declining. There are many methods for obtaining population information, but the most useful (and most work-intensive) is generically known as “capture-recapture,” where we mark or tag a representative sample of individuals from the population and follow that sample over time using recaptures, resightings, or dead recoveries. Marks can be natural, such as stripes, fin profiles, and even DNA; or artificial, such as spots on insects. Attached tags can, for example, be simple bands or streamers, or more sophisticated variants such as radio and sonic transmitters. To estimate population parameters, sophisticated and complex mathematical models have been devised on the basis of recapture information and computer packages. This book addresses the analysis of such models. It is primarily intended for ecologists and wildlife managers who wish to apply the methods to the types of problems discussed above, though it will also benefit researchers and graduate students in ecology. Familiarity with basic statistical concepts is essential.

Author: Hamish McCallum
Publisher: John Wiley & Sons
ISBN: 0470757426
Category : Science
Languages : en
Pages : 360

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Book Description
Ecologists and environmental managers rely on mathematical models, both to understand ecological systems and to predict future system behavior. In turn, models rely on appropriate estimates of their parameters. This book brings together a diverse and scattered literature, to provide clear guidance on how to estimate parameters for models of animal populations. It is not a recipe book of statistical procedures. Instead, it concentrates on how to select the best approach to parameter estimation for a particular problem, and how to ensure that the quality estimated is the appropriate one for the specific purpose of the modelling exercise. Commencing with a toolbox of useful generic approaches to parameter estimation, the book deals with methods for estimating parameters for single populations. These parameters include population size, birth and death rates, and the population growth rate. For such parameters, rigorous statistical theory has been developed, and software is readily available. The problem is to select the optimal sampling design and method of analysis. The second part of the book deals with parameters that describe spatial dynamics, and ecological interactions such as competition, predation and parasitism. Here the principle problems are designing appropriate experiments and ensuring that the quantities measured by the experiments are relevant to the ecological models in which they will be used. This book will be essential reading for ecological researchers, postgraduate students and environmental managers who need to address an ecological problem through a population model. It is accessible to anyone with an understanding of basic statistical methods and population ecology. Unique in concentrating on parameter estimation within modelling. Fills a glaring gap in the literature. Not too technical, so suitable for the statistically inept. Methods explained in algebra, but also in worked examples using commonly available computer packages (SAS, GLIM, and some more specialised packages where relvant). Some spreadsheet based examples also included.

Author: William Thompson
Publisher: Island Press
ISBN: 1610911067
Category : Nature
Languages : en
Pages : 447

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Book Description
Information regarding population status and abundance of rare species plays a key role in resource management decisions. Ideally, data should be collected using statistically sound sampling methods, but by their very nature, rare or elusive species pose a difficult sampling challenge. Sampling Rare or Elusive Species describes the latest sampling designs and survey methods for reliably estimating occupancy, abundance, and other population parameters of rare, elusive, or otherwise hard-to-detect plants and animals. It offers a mixture of theory and application, with actual examples from terrestrial, aquatic, and marine habitats around the world. Sampling Rare or Elusive Species is the first volume devoted entirely to this topic and provides natural resource professionals with a suite of innovative approaches to gathering population status and trend data. It represents an invaluable reference for natural resource professionals around the world, including fish and wildlife biologists, ecologists, biometricians, natural resource managers, and all others whose work or research involves rare or elusive species.

Author: George Arthur Frederick Seber
Publisher:
ISBN: 9781930665552
Category : Science
Languages : en
Pages : 0

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Book Description
Originally published in 1982, this reprint of the second edition of The Estimation of Animal Abundance and Related Parameters has been described as the "bible" of the field. Censuses of living populations are required for many purposes in wildlife management, fisheries and pest control and they are essential in policy making for the protection of the environment. In this book Professor Seber, one of the leading experts in the field, explains in detail the methods that have been developed by ecologists for estimating animal numbers and related parameters such as mortality and birth rates. He insists on the importance of experimental design and describes a great variety of statistical techniques that are required in analyzing the data obtained. These designs and techniques are classified for easy reference according to the particular types of problems encountered by the field worker and the kind of information that is available. The assumptions underlying practical methods in current use are fully examined, together with procedures for testing their validity. Each method is demonstrated by at least one worked example; in all there are over 90 such examples, mostly using data obtained from natural or free-ranging populations around the world. Ecologists will find this book - the first full-length treatment of its subject - a sound statistical assessment of methods which in the past were frequently developed on an intuitive basis; while applied mathematicians will benefit no less from a study of the interaction between mathematics and biology in this important branch of statistics. Field workers will be stimulated and helped by the real-life examples and the practical nature of the work. "George Seber's book became an instant classic following its publication in 1973. It dealt comprehensively with previously published research on methods for estimating abundance and demographic parameters of animal populations. Professor Seber provided detailed reviews of methods that were originally published with adequate statistical development, and he provided derivations and development for intuitive estimators that had been initially presented by ecologists. The second edition of the book was published in 1982 and included substantive additional coverage of "new" developments that had occurred since 1973. The 1982 book has become a citation classic and can be found on the bookshelf of every serious animal population ecologist and every biostatistician dealing with animal population data. For the 20 years since its publication, it has remained the only book of its kind. Many important methodological developments have occurred in animal estimation problems since 1982, but virtually all such methods represent extensions of the initial methods described by Seber (1982). Several excellent monographs and books have been written over the last 2 decades that deal in detail with particular subsets of the material in Seber (1982). What is remarkable is that these recent contributions have not superseded Seber's book, but are best viewed as supplements to his original comprehensive treatment. Thus, Seber's (1982) book can still be found on the bookshelf of every serious animal population ecologist and biostatistician. Now, in 2002, it is surrounded on the bookshelf by a handful of related books and monographs, but it has not lost its relevance or importance and remains the most detailed, comprehensive treatment of methods to estimate animal abundance and related parameters." Jim Nichols, Patuxent Wildlife Research Center, U.S. Geological Survey, Laurel, MD Professor Seber, Professor Emeritus at the University of Auckland, is regarded as the world's foremost authority on statistical methods for estimating the size of animal populations. His early work on capture-recapture methods was groundbreaking and the Jolly-Seber method still forms the basis of most modern work, more than 30 years after his first paper on the method in 1962.

Author: Michael Schaub
Publisher: Academic Press
ISBN: 0128209151
Category : Science
Languages : en
Pages : 640

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Book Description
Integrated Population Models: Theory and Ecological Applications with R and JAGS is the first book on integrated population models, which constitute a powerful framework for combining multiple data sets from the population and the individual levels to estimate demographic parameters, and population size and trends. These models identify drivers of population dynamics and forecast the composition and trajectory of a population. Written by two population ecologists with expertise on integrated population modeling, this book provides a comprehensive synthesis of the relevant theory of integrated population models with an extensive overview of practical applications, using Bayesian methods by means of case studies. The book contains fully-documented, complete code for fitting all models in the free software, R and JAGS. It also includes all required code for pre- and post-model-fitting analysis. Integrated Population Models is an invaluable reference for researchers and practitioners involved in population analysis, and for graduate-level students in ecology, conservation biology, wildlife management, and related fields. The text is ideal for self-study and advanced graduate-level courses. - Offers practical and accessible ecological applications of IPMs (integrated population models) - Provides full documentation of analyzed code in the Bayesian framework - Written and structured for an easy approach to the subject, especially for non-statisticians

Author: Steven C. Amstrup
Publisher: Princeton University Press
ISBN: 1400837715
Category : Science
Languages : en
Pages : 334

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Book Description
Every day, biologists in parkas, raincoats, and rubber boots go into the field to capture and mark a variety of animal species. Back in the office, statisticians create analytical models for the field biologists' data. But many times, representatives of the two professions do not fully understand one another's roles. This book bridges this gap by helping biologists understand state-of-the-art statistical methods for analyzing capture-recapture data. In so doing, statisticians will also become more familiar with the design of field studies and with the real-life issues facing biologists. Reliable outcomes of capture-recapture studies are vital to answering key ecological questions. Is the population increasing or decreasing? Do more or fewer animals have a particular characteristic? In answering these questions, biologists cannot hope to capture and mark entire populations. And frequently, the populations change unpredictably during a study. Thus, increasingly sophisticated models have been employed to convert data into answers to ecological questions. This book, by experts in capture-recapture analysis, introduces the most up-to-date methods for data analysis while explaining the theory behind those methods. Thorough, concise, and portable, it will be immensely useful to biologists, biometricians, and statisticians, students in both fields, and anyone else engaged in the capture-recapture process.

Author: National Research Council
Publisher: National Academies Press
ISBN: 0309264944
Category : Technology & Engineering
Languages : en
Pages : 399

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Book Description
Using Science to Improve the BLM Wild Horse and Burro Program: A Way Forward reviews the science that underpins the Bureau of Land Management's oversight of free-ranging horses and burros on federal public lands in the western United States, concluding that constructive changes could be implemented. The Wild Horse and Burro Program has not used scientifically rigorous methods to estimate the population sizes of horses and burros, to model the effects of management actions on the animals, or to assess the availability and use of forage on rangelands. Evidence suggests that horse populations are growing by 15 to 20 percent each year, a level that is unsustainable for maintaining healthy horse populations as well as healthy ecosystems. Promising fertility-control methods are available to help limit this population growth, however. In addition, science-based methods exist for improving population estimates, predicting the effects of management practices in order to maintain genetically diverse, healthy populations, and estimating the productivity of rangelands. Greater transparency in how science-based methods are used to inform management decisions may help increase public confidence in the Wild Horse and Burro Program.

Author: John R. Skalski
Publisher: Elsevier
ISBN: 0080455123
Category : Science
Languages : en
Pages : 656

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Book Description
Wildlife Demography compiles the multitude of available estimation techniques based on sex and age data, and presents these varying techniques in one organized, unified volume. Designed to guide researchers to the most appropriate estimator based upon their particular data set and the desired level of study precision, this book provides quantitative consideration, statistical models, estimator variance, assumptions and examples of use. The authors focus on estimation techniques using sex and age ratios because this data is relatively easy to collect and commonly used by wildlife management. - Applicable to a wide array of wildlife species, including game and non-game birds and mammals - Features more than 100 annotated examples illustrating application of statistical methods - Includes more than 640 references of the analysis of nontagging data and the factors that may influence interpretation - Derives historical and ad hoc demographic methods in a modern statistical framework