Free Delivery Over $100
|
|
|||
|
||||
OverviewThis 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. Full Product DetailsAuthor: 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)Publisher: Oxford University Press Imprint: Oxford University Press Edition: New edition Dimensions: Width: 15.50cm , Height: 2.40cm , Length: 23.40cm Weight: 0.666kg ISBN: 9780199225873ISBN 10: 0199225877 Pages: 440 Publication Date: 29 November 2007 Audience: Professional and scholarly , College/higher education , Professional & Vocational , Postgraduate, Research & Scholarly Format: Paperback Publisher's Status: Active Availability: To order  Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us. Table of Contents1: 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 IndexReviews"`'Researchers and practitioners in the worlds of ecological monitoring now have ready access to the current state of the art when answering all the ""what if"" questions around conventional distance sampling.'' Alice M Richardson, Ecology, 89(12)" 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 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 Author InformationTab Content 6Author Website:Countries AvailableAll regions |
||||
