Statistical Inference from Capture Data on Closed Animal Populations

Statistical Inference from Capture Data on Closed Animal Populations PDF Author: David I. Eisenhauer
Publisher:
ISBN:
Category : Animal populations
Languages : en
Pages : 144

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Book Description

Statistical Inference from Capture Data on Closed Animal Populations

Statistical Inference from Capture Data on Closed Animal Populations PDF Author: David I. Eisenhauer
Publisher:
ISBN:
Category : Animal populations
Languages : en
Pages : 144

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Book Description


Capture-recapture and Removal Methods for Sampling Closed Populations

Capture-recapture and Removal Methods for Sampling Closed Populations PDF Author: Gary C. White
Publisher:
ISBN:
Category : Animal populations
Languages : en
Pages : 260

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Book Description
The problem of estimating animal abundance is common in wildlife management and environmental impact assessment. Capture-recapture and removal methods are often used to estimate population size. Statistical Inference From Capture Data On Closed Animal Populations, a monograph by Otis et al. (1978), provides us with a comprehensive synthesis of much of the wildlife and statistical literature on the methods, as well as some extensions of the general theory. In our primer, we focus on capture-recapture and removal methods for trapping studies in which a population is assumed to be closed and do not treat open-population models, such as the Jolly-Seber model, or catch-effort methods in any detail. The primer, written for students interested in population estimation, is intended for use with the more theoretical monograph.

Wildlife 2001: Populations

Wildlife 2001: Populations PDF Author: D.R. McCullough
Publisher: Springer Science & Business Media
ISBN: 9401128685
Category : Mathematics
Languages : en
Pages : 1156

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Book Description
In 1984, a conference called Wildlife 2000: Modeling habitat relationships of terrestrial vertebrates, was held at Stanford Sierra Camp at Fallen Leaf Lake in the Sierra Nevada Mountains of California. The conference was well-received, and the published volume (Verner, J. , M. L. Morrison, and C. J. Ralph, editors. 1986. Wildlife 2000: modeling habitat relationships of terrestrial vertebrates, University of Wisconsin Press, Madison, Wisconsin, USA) proved to be a landmark publication that received a book award by The Wildlife Society. Wildlife 2001: populations was a followup conference with emphasis on the other major biological field of wildlife conservation and management, populations. It was held on July 29-31, 1991, at the Oakland Airport Hilton Hotel in Oakland, California, in accordance with our intent that this conference have a much stronger international representation than did Wildlife 2000. The goal of the conference was to bring together an international group of specialists to address the state of the art in wildlife population dynamics, and set the agenda for future research and management on the threshold of the 21st century. The mix of specialists included workers in theoretical, as well as practical, aspects of wildlife conservation and management. Three general sessions covered methods, modelling, and conservation of threatened species.

Spatial Capture-Recapture

Spatial Capture-Recapture PDF Author: J. Andrew Royle
Publisher: Academic Press
ISBN: 012407152X
Category : Science
Languages : en
Pages : 609

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Book Description
Spatial Capture-Recapture provides a comprehensive how-to manual with detailed examples of spatial capture-recapture models based on current technology and knowledge. Spatial Capture-Recapture provides you with an extensive step-by-step analysis of many data sets using different software implementations. The authors' approach is practical – it embraces Bayesian and classical inference strategies to give the reader different options to get the job done. In addition, Spatial Capture-Recapture provides data sets, sample code and computing scripts in an R package. - Comprehensive reference on revolutionary new methods in ecology makes this the first and only book on the topic - Every methodological element has a detailed worked example with a code template, allowing you to learn by example - Includes an R package that contains all computer code and data sets on companion website

The Estimation of Animal Abundance and Related Parameters

The Estimation of Animal Abundance and Related Parameters PDF 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.

Population Ecology in Practice

Population Ecology in Practice PDF Author: Dennis L. Murray
Publisher: John Wiley & Sons
ISBN: 0470674148
Category : Science
Languages : en
Pages : 448

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Book Description
A synthesis of contemporary analytical and modeling approaches in population ecology The book provides an overview of the key analytical approaches that are currently used in demographic, genetic, and spatial analyses in population ecology. The chapters present current problems, introduce advances in analytical methods and models, and demonstrate the applications of quantitative methods to ecological data. The book covers new tools for designing robust field studies; estimation of abundance and demographic rates; matrix population models and analyses of population dynamics; and current approaches for genetic and spatial analysis. Each chapter is illustrated by empirical examples based on real datasets, with a companion website that offers online exercises and examples of computer code in the R statistical software platform. Fills a niche for a book that emphasizes applied aspects of population analysis Covers many of the current methods being used to analyse population dynamics and structure Illustrates the application of specific analytical methods through worked examples based on real datasets Offers readers the opportunity to work through examples or adapt the routines to their own datasets using computer code in the R statistical platform Population Ecology in Practice is an excellent book for upper-level undergraduate and graduate students taking courses in population ecology or ecological statistics, as well as established researchers needing a desktop reference for contemporary methods used to develop robust population assessments.

Recent Advances on Sampling Methods and Educational Statistics

Recent Advances on Sampling Methods and Educational Statistics PDF Author: Hon Keung Tony Ng
Publisher: Springer Nature
ISBN: 3031145259
Category : Mathematics
Languages : en
Pages : 292

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Book Description
This edited collection commemorates the career of Dr. S. Lynne Stokes by highlighting recent advances in her areas of research interest, emphasizing practical applications and future directions. It serves as a collective effort of leading statistical scientists who work at the cutting edge in statistical sampling. S. Lynne Stokes is Professor of Statistical Science and Director of the Data Science Institute at Southern Methodist University, and Senior Fellow at the National Institute of Statistical Sciences. She has enjoyed a distinguished research career, making fundamental contributions to a variety of fields in statistical sampling. Reflecting on Professor Stokes' main areas of research, this volume is structured into three main parts: I. ranked-set sampling, judgment post-stratified sampling, and capture-recapture methods II. nonsampling errors in statistical sampling III. educational and behavioral statistics. This collection will be of interest to researchers, advanced students, and professionals in the public and private sectors who would like to learn more about latest advancements in statistical sampling, particularly those who work in educational and behavioral statistics.

Quantitative Analyses in Wildlife Science

Quantitative Analyses in Wildlife Science PDF Author: Leonard A. Brennan
Publisher: JHU Press
ISBN: 1421431084
Category : Science
Languages : en
Pages : 345

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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

Statistics in the Environmental Sciences

Statistics in the Environmental Sciences PDF Author: Steven M. Gertz
Publisher: ASTM International
ISBN: 9780803102064
Category : Science
Languages : en
Pages : 131

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Book Description


Measuring Abundance

Measuring Abundance PDF Author: Graham Upton
Publisher: Pelagic Publishing Ltd
ISBN: 1784272337
Category : Science
Languages : en
Pages : 278

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Book Description
Measuring the abundance of individuals and the diversity of species are core components of most ecological research projects and conservation monitoring. This book brings together in one place, for the first time, the methods used to estimate the abundance of individuals in nature. The statistical basis of each method is detailed along with practical considerations for survey design and data collection. Methods are illustrated using data ranging from Alaskan shrubs to Yellowstone grizzly bears, not forgetting Costa Rican ants and Prince Edward Island lobsters. Where necessary, example code for use with the open source software R is supplied. When appropriate, reference is made to other widely used programs. After opening with a brief synopsis of relevant statistical methods, the first section deals with the abundance of stationary items such as trees, shrubs, coral, etc. Following a discussion of the use of quadrats and transects in the contexts of forestry sampling and the assessment of plant cover, there are chapters addressing line-intercept sampling, the use of nearest-neighbour distances, and variable sized plots. The second section deals with individuals that move, such as birds, mammals, reptiles, fish, etc. Approaches discussed include double-observer sampling, removal sampling, capture-recapture methods and distance sampling. The final section deals with the measurement of species richness; species diversity; species-abundance distributions; and other aspects of diversity such as evenness, similarity, turnover and rarity. This is an essential reference for anyone involved in advanced undergraduate or postgraduate ecological research and teaching, or those planning and carrying out data analysis as part of conservation survey and monitoring programmes.