Surveying Natural Populations

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Overview

A user-friendly primer to the essential techniques of quantitative field ecology, or paleoecology, integrating the intuitive approach of the field researcher with the rational analytical tools of the statistician. Designed as a comprehensive introduction and handy methodological reference for students and professionals alike, this book is filled with lucid explanations, real-world examples, practice problem sets, more than one hundred illustrations and tables, and many applications to research issues of current concern.

Columbia University Press

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Editorial Reviews

Ecoscience

The authors have written [this book] specifically for ecologists and are using concrete ecological problems to demonstrate which sampling design should be favored and in which circumstance.... If you have been buying several statistical and sampling design books with the feeling that you still don't get it, then this book on surveying natural populations is for you.... It reads almost like a novel in comparison to normal statistical books.

Ecology
[A]ll will appreciate the blend of insight, pragmatism, and even dry humor that Hayek and Buzas have to offer. Surveying Natural Populations is a welcome, noteworthy contribution to the ecology, conservation, and biostatistical literature.

— Erica Fleishman

Earth-Science Reviews
A timely, valuable, and important contribution to the literature on quantitative ecology, conservation, wildlife management, and palaeoecology. I strongly recommend it to all quantitative ecologists and palaeoecologists.

— H.J.B. Birks

Choice

This book is a critical reference for all science libraries.

Ecology - Erica Fleishman

[A]ll will appreciate the blend of insight, pragmatism, and even dry humor that Hayek and Buzas have to offer. Surveying Natural Populations is a welcome, noteworthy contribution to the ecology, conservation, and biostatistical literature.

Earth-Science Reviews - H.J.B. Birks

A timely, valuable, and important contribution to the literature on quantitative ecology, conservation, wildlife management, and palaeoecology. I strongly recommend it to all quantitative ecologists and palaeoecologists.

Choice

This book is a critical reference for all science libraries.

Ecoscience
The authors have written it specifically for ecologists and are using concrete ecological problems to demonstrate which sampling design should be favored and in which circumstance....If you have been buying several statistical and sampling design books with the feeling that you still don't get it, then this book onSurveying Natural Populations is for you. This book is written as a manual since each chapter offers problems but it reads almost like a novel in comparison to normal statistical books.
Ecology
The mathematical orientations of field biologists are as motley as the contents of their knapsacks. Some speak SAS as a second language, while others are confirmed statistical skeptics. But all will appreciate the blend of insight, pragmatism, and even dry humor that Hayek and Buzas have to offer.Surveying Natural Populations is a welcome, noteworthy contribution to the ecology, conservation, and biostatiscal literature.
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Product Details

  • ISBN-13: 9780231102414
  • Publisher: Columbia University Press
  • Publication date: 1/5/1997
  • Edition description: New Edition
  • Pages: 584
  • Product dimensions: 1.18 (w) x 6.00 (h) x 9.00 (d)

Meet the Author

Lee-Ann C. Hayek is Chief Mathematical Statistician of the Smithsonian Institution.

Martin A. Buzas is Curator of Foraminifera and Senior Geologist in the Department of Paleobiology at the Smithsonian's Natural History Museum.

Columbia University Press

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Table of Contents

IntroductionDensity: Mean and VarianceNormal and Sampling Distributions for FieldworkConfidence Limits and Intervals for DensityHow Many Field Samples?Spatial Distribution: The Power CurveField Sampling SchemesSpecies Proportions: Relative AbundancesSpecies DistributionsRegression: Occurrences and DensitySpecies OccurrencesSpecies Diversity: The Number of SpeciesDiversity IndicesSHE Analysis

Columbia University Press

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