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Advanced Distance Sampling
Estimating abundance of biological populations
Edited by S.T. Buckland, D.R Anderson, K.P. Burnham, J.L. Laake, D.L. Borchers, and L. Thomas
434 pages
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numerous line drawings
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234x156mm
978-0-19-850783-3
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Hardback
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19 August 2004
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- Extensive coverage of techniques from a team of leading researchers
- Aimed at professionals working in government and environment agencies, statisticians, biologists, wildlife managers, conservation biologists and ecologists, graduate and research students studying the density and abundance of biological populations
- Discusses automated design algorithms, allowing for simpler generation of survey designs
- Follow up, but independent, companion to Introduction to Distance Sampling
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 sightings surveys, and a wide range of approaches to analysis of sightings data 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 populations, 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; survey design and automated design algorithms, allowing rapid generation of sound 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 that 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.Readership: 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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Edited by S.T. Buckland, Professor of Statistics and Director of the Centre for Research into Ecological and Environmental Modelling, University of St Andrews, D.R Anderson, Colorado Cooperative Fish and Wildlife Research Unit, K.P. Burnham, Colorado Cooperative Fish and Wildlife Research Unit, J.L. Laake, National Marine Mammal Laboratory, D.L. Borchers, University of St Andrews, and L. Thomas, University of St Andrews Visit the Authors' web site
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"The book provides a stimulating account of recent progress with statistical methods for solving the practical problems that biologists encounter when estimating abundance." - Rhys E. Green Ibis "...this is a compilation of strong research that will be mined for its many technical insights." - Murray Efford Environmental Conservation
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Introduction to advanced distance sampling
General formulation for distance sampling
Covariate models
Spatial distance sampling models
Temporal inferences from distance sampling surveys
Methods for incomplete detection at distance zero
Design of distance sampling surveys and Geographic Information Systems
Adaptive distance sampling surveys
Passive approaches to detection in distance sampling
Assessment of distance sampling estimators
Further topics in distance sampling
References
Index
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The specification in this catalogue, including without limitation price, format, extent, number of illustrations, and month of publication, was as accurate as possible at the time the catalogue was compiled. Occasionally, due to the nature of some contractual restrictions, we are unable to ship a specific product to a particular territory. Jacket images are provisional and liable to change before publication.
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