434 pages, numerous line drawings
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.
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
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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