Distance Sampling Surveys of Population Size: Enabling Better Decision-Making by Wildlife Managers

Stephen T. Buckland (), Eric Rexstad (), Len Thomas () and David L. Borchers ()
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Stephen T. Buckland: The Observatory, Buchanan Gardens, University of St. Andrews, Centre for Research into Ecological and Environmental Modelling
Eric Rexstad: The Observatory, Buchanan Gardens, University of St. Andrews, Centre for Research into Ecological and Environmental Modelling
Len Thomas: The Observatory, Buchanan Gardens, University of St. Andrews, Centre for Research into Ecological and Environmental Modelling
David L. Borchers: The Observatory, Buchanan Gardens, University of St. Andrews, Centre for Research into Ecological and Environmental Modelling

A chapter in UK Success Stories in Industrial Mathematics, 2016, pp 45-51 from Springer

Abstract: Abstract Reliable estimates of the size of natural populations are required by national and regional governments for management and conservation, by international commissions that manage natural resources, and by NGOs. Distance sampling, in which distances of detected animals from a set of randomly located lines or points are recorded, is the most widely-applicable technique for obtaining such estimates. Almost all users of distance sampling methods use software and methods developed at St Andrews. Software Distance [5] is the industry standard and has over 30,000 registered users from around 115 countries. The methodological developments and associated software have allowed better-informed decisions to be made in the management and conservation of populations as diverse as whales, seals, fish, elephants, apes, deer, birds, ants, trees and flowering plants.

Keywords: Distance Sampling Methods; Point Transect Sampling; Minke Whales; Multiple Covariate Distance Sampling; Stratified Southern (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/978-3-319-25454-8_6

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