1st Edition

Introduction to Ecological Sampling

Edited By Bryan F.J. Manly, Jorge A. Navarro Alberto Copyright 2015
    228 Pages 44 B/W Illustrations
    by Chapman & Hall

    An Easy-to-Understand Treatment of Ecological Sampling Methods and Data Analysis

    Including only the necessary mathematical derivations, Introduction to Ecological Sampling shows how to use sampling procedures for ecological and environmental studies. It incorporates both traditional sampling methods and recent developments in environmental and ecological sampling methods.

    After an introduction, the book presents standard sampling methods and analyses. Subsequent chapters delve into specialized topics written by well-known researchers. These chapters cover adaptive sampling methods, line transect sampling, removal and change-in-ratio methods, plotless sampling, mark-recapture sampling of closed and open populations, occupancy models, sampling designs for environmental modeling, and trend analysis.

    The book explains the methods as simply as possible, keeping equations and their derivations to a minimum. It provides references to important, more advanced sampling methods and analyses. It also directs readers to computer programs that can be used to perform the analyses.

    Accessible to biologists, the text only assumes a basic knowledge of statistical methods. It is suitable for an introductory course on methods for collecting and analyzing ecological and environmental data.

    Introduction Bryan Manly and Jorge Navarro
    Why a Book on Ecological Sampling and Analysis?
    The Scope and Contents of the Book

    Standard Sampling Methods and Analyses Bryan Manly
    Simple Random Sampling
    Estimation of Mean Values
    Estimation of Totals
    Sample Sizes for Estimation of Means
    Errors in Sample Surveys
    Estimation of Population Proportions
    Determining Sample Sizes for the Estimation of Proportions
    Stratified Random Sampling
    Systematic Sampling
    Some Other Design Strategies
    Unequal Probability Sampling

    Adaptive Sampling Methods Jennifer Brown
    Adaptive Cluster Sampling
    Other Adaptive Sampling Designs

    Line Transect Sampling Jorge Navarro and Raúl Díaz-Gamboa
    Basic Procedures in Line Transect Sampling
    The Detection Function
    Estimation from Sighting Distances and Angles
    Estimation of Standard Errors in Line Transect Sampling
    Size-Biased Line Transect Surveys
    Probability of Detection on the Line of Less than One
    Point Transect Sampling
    Software for Line and Point Transect Sampling and Estimation

    Removal and Change-in-Ratio Methods Lyman McDonald and Bryan Manly
    Removal Method
    The Change-in-Ratio Method
    Relationship between Change-in-Ratio and Mark–Recapture Methods

    Plotless Sampling Jorge Navarro
    -Square Sampling
    Performance of T-Square Sampling
    The Wandering-Quarter Method
    Further Extensions and Recent Developments in Plotless Sampling Methods
    Computational Tools for Density Estimation in Plotless Sampling

    Introduction to Mark-Recapture Sampling and Closed-Population Models Jorge Navarro, Bryan Manly, and Roberto Barrientos-Medina
    Terminology and Assumptions
    Closed-Population Methods
    Recent Advances for Closed-Population Models

    Open-Population Mark-Recapture Models Bryan Manly, Jorge Navarro, and Trent McDonald
    The Jolly–Seber Model
    The Manly–Parr Method
    Recoveries of Dead Animals
    Estimation Using Radio-Tagged Individuals
    Flexible Modeling Procedures
    Tests of Goodness of Fit
    An Example of Mark-Recapture Modeling
    Recent Advances with Open-Population Models
    General Computer Programs for Capture–Recapture Analyses

    Occupancy Models Darryl MacKenzie
    General Overview
    Single-Season Models
    Multiseason Models
    Including Covariates
    Study Design

    Sampling Designs for Environmental Monitoring Trent McDonald
    Design Characteristics
    Monitoring versus Research
    Spatial Designs

    Models for Trend Analysis Timothy J. Robinson and Jennifer Brown
    Basic Methods for Trend Analysis
    Unit Analyses of Trends
    Pooled Analysis of Trends
    Checking for Model Adequacy



    Bryan F.J. Manly is a consultant for Western EcoSystems Technology. He was previously a professor of statistics at the University of Otago, Dunedin, New Zealand. His interests focus on aspects of statistics applied to biological problems, particularly in analyses related to organisms in seas and rivers.

    Jorge A. Navarro Alberto is a professor at the Autonomous University of Yucatan, Mexico, where he teaches statistics and sampling design courses to undergraduate biology students and graduate marine biology and natural resource management students. His current research involves the development of statistical methods in community ecology, biodiversity conservation, and biogeography.

    "Manly and Navarro Alberto present a variety of both classical and modern statistical sampling techniques that are used in environmental/ecological applications. This practical and accessible monograph was a pleasure to read. Each chapter includes contributions from notable researchers, with topics ranging from adaptive sampling to line transect sampling methods, removal/change-in-ratio methods to plotless sampling, capture–recapture methods to environmental and trend analysis, as well as many others. A great beauty of this book is its wealth of worked examples based on real problems involving ecological data; the examples are well presented, clear and really easy to follow. I strongly recommend having R open in front of you when working through examples so that you can go through the analysis yourself. The book is presented in a very pragmatic fashion whereby most chapters begin by discussing key assumptions (i.e. those made prior to sampling/constructing the design) and close with an explanation of how to interpret the final results…There is also a helpful companion website to give readers additional details on data sets and software. The target audience is clearly intended to be ecologists, but overall I found that most chapters were quite general…Like many of Bryan Manly’s books, this is a very polished and expertly organised monograph. I highly recommend this book to anyone interested in sampling methods in ecology. I’m sure many readers will enjoy this monograph as much as I did!"
    —Jakub Stoklosa, The University of New South Wales, Australia, in Australian & New Zealand Journal of Statistics, October 2016

    "From estimating sperm whale abundance using line transect sampling to monitoring the trend of mercury concentrations in a lake using mixed models, Introduction to Ecological Sampling provides the reader with a swath of interesting examples as it presents techniques for ecological sampling…Through useful, clear diagrams, and examples using real data, the authors explain several rather complex sampling designs with great clarity…I think the greatest strength of this book is the extensive referencing in each chapter. It is clear that in each chapter the authors know the present state of the field and therefore provide the necessary references to delve deeper into a particular method…The draft version of the book served as the class notes for an online course taught by one of the editors (Bryan Manly). For the seasoned ecological sampler, the current version of the text may suffice as a textbook for a class on ecological sampling…More than its use in the classroom, I see this book as a great introduction to ecological sampling for the independent learner, whether they are a survey statistician who wants to learn about techniques for ecological examples or an ecologist who wants to learn more about adaptive sampling because they read the phrase in an article. Introduction to Ecological Sampling is impressively both thorough and concise in its coverage of estimating population abundance and other ecological quantities. For those interested in these topics, I recommend, at the very least, that you put it on your bookshelf and crack it open when you are confronted with a difficult ecological sampling problem."
    —Kelly McConville, Swarthmore College, in The American Statistician, March 2016