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Advanced Distance Sampling: Estimating Abundance of Biological Populations

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Overview

This advanced text focuses on the uses of distance sampling to estimate the density and abundance of biological populations. It addresses new methodologies, new technologies and recent developments in statistical theory and is the follow-up companion to Introduction to Distance Sampling (OUP, 2001). In this text, a general theoretical basis is established for methods of estimating animal abundance from sighting surveys, and a wide range of approaches to the design and analysis of distance sampling surveys is explored. These approaches include: modelling animal detectability as a function of covariates, where the effects of habitat, observer, weather, etc. on detectability can be assessed; estimating animal density as a function of location, allowing for example animal density to be related to habitat and other locational covariates; estimating change over time in population abundance, a necessary aspect of any monitoring programme; estimation when detection of animals on the line or at the point is uncertain, as often occurs for marine populations, or when the survey region has dense cover; automated generation of survey designs, using geographic information systems; adaptive distance sampling methods, which concentrate survey effort in areas of high animal density; passive distance sampling methods, which extend the application of distance sampling to species that cannot be readily detected in sightings surveys, but can be trapped; and testing of methods by simulation, so the performance of the approach in varying circumstances can be assessed. Authored by a leading team, this text is aimed at professionals in government and environment agencies, statisticians, biologists, wildlife managers, conservation biologists and ecologists, as well as graduate students, studying the density and abundance of biological populations.

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Product Details

  • ISBN-13: 9780198507833
  • Publisher: Oxford University Press, USA
  • Publication date: 11/1/2004
  • Pages: 434
  • Product dimensions: 9.30 (w) x 6.30 (h) x 1.10 (d)

Meet the Author

University of St. Andrews

Colorado Cooperative Fish and Wildlife Research Unit

Colorado Cooperative Fish and Wildlife Research Unit

National Marine Mammal Laboratory, Seattle

University of St Andrews

University of St Andrews

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Table of Contents

1 Introduction to advanced distance sampling 1
2 General formulation for distance sampling 6
3 Covariate models for the detection function 31
4 Spatial distance sampling models 48
5 Temporal inferences from distance sampling surveys 71
6 Methods for incomplete detection at distance zero 108
7 Design of distance sampling surveys and geographic information systems 190
8 Adaptive distance sampling surveys 229
9 Passive approaches to detection in distance sampling 260
10 Assessment of distance sampling estimators 281
11 Further topics in distance sampling 307
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