Advanced Distance Sampling: Estimating abundance of biological populations

Paperback | December 5, 2007

EditorS.T. Buckland, D.R Anderson, K.P. Burnham

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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 theeffects 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 anymonitoring 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 geographicinformation 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; andtesting of methods by simulation, so that performance of the approach in varying circumstances can be assessed.

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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 b...

S.T. Buckland, D.L. Borchers, and L. Thomas are all with the University of St. Andrews. D.R. Anderson and K.P. Burnham are with the Colorado Cooperative Fish and Wildlife Research Unit. J.L. Laake is with the National Marine Mammal Laboratory.

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Distance Sampling: Estimating abundance of biological populations
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Format:PaperbackDimensions:434 pages, 9.21 × 6.14 × 0.94 inPublished:December 5, 2007Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0199225877

ISBN - 13:9780199225873

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Table of Contents

1. S.T. Buckland and D R Anderson: Introduction to advanced distance sampling2. D L Borchers and K P Burnham: General formulation for distance sampling3. F F C Marques and S T Buckland: Covariate models4. S L Hedley, S T Buckland and D L Borchers: Spatial distance sampling models5. L Thomas, K P Burnham and S T Buckland: Temporal inferences from distance sampling surveys6. J L Laake and D L Borchers: Methods for incomplete detection at distance zero7. S Strindberg, S T Buckland and L Thomas: Design of distance sampling surveys and Geographic Information Systems8. J H Pollard and S T Buckland: Adaptive distance sampling surveys9. P M Lukacs, A B Franklin and D R Anderson: Passive approaches to detection in distance sampling10. R M Fewster and S T Buckland: Assessment of distance sampling estimators11. 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 samplingReferencesIndex