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BestsellerE-book

Title Population genetics for animal conservation / edited by Giorgio Bertorelle [and others].

Publication Info. Cambridge ; New York : Cambridge University Press, [2009]
©2009

Item Status

Description 1 online resource (xi, 395 pages) : illustrations, maps.
Physical Medium polychrome
Description text file
Series Conservation biology ; 17
Conservation biology series (Cambridge, England) ; 17.
Bibliography Includes bibliographical references and indexes.
Contents Introduction Heidi C. Hauffe and Valerio Sbordoni -- Statistical methods for identifying hybrids and groups Eric C. Anderson -- How to use Migrate or why are Markov chain Monte Carlo programs difficult to use? Peter Beerli -- Nested clade phylogeographic analysis for conservation genetics Jennifer E. Buhay, Keith A. Crandall and David Posada -- A comparison of methods for constructing evolutionary networks from intraspecific DNA sequences Patrick Mardulyn, Insa Cassens and Michel C. Milinkovitch -- Challenges in assessing adaptive genetic diversity: overview of methods and empirical illustrations Aurelie Bonin and Louis Bernatchez -- Monitoring and detecting translocations using genetic data Giorgio Bertorelle, Chiara Papetti, Heidi C. Hauffe and Luigi Boitani -- Non-invasive genetic analysis in conservation Benoît Goossens and Michael W. Bruford -- The role of ancient DNA in conservation biology Jon Beadell, Yvonne Chan and Robert Fleischer -- Future-proofing genetic units for conservation: time's up for subspecies as the debate gets out of neutral! Michael W. Bruford -- Genetic diversity and fitness related traits in endangered salmonids Katriina Tiira and Craig R. Primmer -- Genetics and conservation on islands: the Galápagos giant tortoise as a case study Claudio Ciofi, Adalgisa Caccone, Luciano B. Beheregaray, Michel C. Milinkovitch, Michael Russello and Jeffrey R. Powell -- Evolution of population genetic structure in marine mammal species A. Rus Hoelzel -- Recent developments in molecular tools for conservation Cristiano Vernesi and Michael W. Bruford -- Theoretical outlook Mark Beaumont.
Access Use copy Restrictions unspecified MiAaHDL
Reproduction Electronic reproduction. [S.l.] : HathiTrust Digital Library, 2010. MiAaHDL
System Details Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. http://purl.oclc.org/DLF/benchrepro0212 MiAaHDL
Processing Action digitized 2010 HathiTrust Digital Library committed to preserve MiAaHDL
Summary It is widely accepted among conservation biologists that genetics is, more than ever, an essential and efficient tool for wild and captive population management and reserve design. However, a true synergy between population genetics and conservation biology is lacking. Following the first International Workshop on Population Genetics for Animal Conservation in 2003, the scientific committee felt that, given the global urgency of animal conservation, it was imperative that discussions at the conference were made accessible to graduate students and wildlife managers. This book integrates 'the analytical methods approach' with the 'real problems approach' in conservation genetics. Each chapter is an exhaustive review of one area of expertise, and a special effort has been made to explain the statistical tools available for the analysis of molecular data as clearly as possible. The result is a comprehensive volume of the state-of-the-art in conservation genetics, illustrating the power and utility of this synergy.
Local Note eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America
Subject Conservation biology.
Conservation biology.
Animal genetics.
Animal genetics.
Genre/Form Electronic books.
Added Author Bertorelle, Giorgio.
Other Form: Print version: Population genetics for animal conservation. Cambridge ; New York : Cambridge University Press, 2009 9780521866309 (DLC) 2009005815 (OCoLC)286432684
ISBN 9780511539428 (electronic book)
0511539428 (electronic book)
9780511650932 (electronic book)
0511650930 (electronic book)
9780511626920 (electronic book)
0511626924 (electronic book)
9780521866309 (hardback)
0521866308 (hardback)
9780521685375 (paperback)
0521685370 (paperback)