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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
440 pages
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234x156mm
978-0-19-922587-3
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Paperback
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29 November 2007
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- Extensive coverage of techniques from a team of leading researchers
- Discusses automated design algorithms, allowing for simpler generation of survey designs
- Follow up, but independent, companion to Introduction to Distance Sampling (OUP, 2001)
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.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, 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 Contributors:
Jonathan Bishop (University of St Andrews)
Rachel Fewster (Auckland)
Alan Franklin (Colorado Cooperative Fish and Wildlife Research Unit)
Sharon Hedley (University of St Andrews)
Paul
Lukacs (Colorado State University)
Fernanda Marques (Fundação Universidade Federal do Rio Grande)
Tiago Marques (University of St Andrews)
Jonathan Pollard (Unisys)
Samantha Strindberg (Wildlife Conservation Society, New York)
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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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1: S.T. Buckland and D R Anderson: Introduction to advanced distance sampling
2: D L Borchers and K P Burnham: General formulation for distance sampling
3: F F C Marques and S T Buckland: Covariate models
4: S L Hedley, S T Buckland and D L Borchers: Spatial distance sampling models
5: L Thomas, K P Burnham and S T Buckland: Temporal inferences from distance sampling surveys
6: J L Laake and D L Borchers: Methods for incomplete detection at distance zero
7: S Strindberg, S T Buckland and L Thomas: Design of distance sampling surveys and Geographic Information Systems
8: J H Pollard and S T Buckland: Adaptive distance sampling surveys
9: P M Lukacs, A B Franklin and D R Anderson: Passive approaches to detection in distance sampling
10: R M Fewster and S T Buckland: Assessment of distance sampling estimators
11: K P Burnham, S T Buckland, J L Laake, D L Borchers, T A Marques, J R B Bishop and L Thomas: Further topics in distance sampling
References
Index
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