Cover art for Advanced Distance Sampling
Published
Oxford University Press, November 2007
ISBN
9780199225873
Format
Softcover, 440 pages
Dimensions
23.4cm × 15.5cm × 2.4cm

Advanced Distance Sampling Estimating abundance of biological populations

Not in stock
Fast $7.95 flat-rate shipping!
Only pay $7.95 per order within Australia, including end-to-end parcel tracking.
100% encrypted and secure
We adhere to industry best practice and never store credit card details.
Talk to real people
Contact us seven days a week – our staff are here to help.

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.

Related books