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| Advanced Distance Sampling: Estimating Abundance of Biological Populations | 
| Creators: S.t. Buckland, D.r Anderson, K.p. Burnham, J.l. Laake, D.l. Borchers, L. Thomas Publisher: Oxford University Press, USA Category: Book
List Price: $60.00 Buy New: $44.42 You Save: $15.58 (26%)
New (14) from $44.42
Sales Rank: 720152
Media: Paperback Number Of Items: 1 Pages: 434 Shipping Weight (lbs): 1.5 Dimensions (in): 9.1 x 6.1 x 1
ISBN: 0199225877 Dewey Decimal Number: 577.88 EAN: 9780199225873 ASIN: 0199225877
Publication Date: February 9, 2008 Availability: Usually ships in 1-2 business days Condition: Brand New. Expected US delivery in 7-10 business days
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Product Description 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 program; 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.
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Wildlife, nature and the Environment
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