Population Genomics: Wildlife

Author:   Paul A. Hohenlohe ,  Om P. Rajora
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
ISBN:  

9783030634889


Pages:   558
Publication Date:   10 December 2020
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Population Genomics: Wildlife


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Overview

Population genomics is revolutionizing wildlife biology, conservation, and management by providing key and novel insights into genetic, population and landscape-level processes in wildlife, with unprecedented power and accuracy. This pioneering book presents the advances and potential of population genomics in wildlife, outlining key population genomics concepts and questions in wildlife biology, population genomics approaches that are specifically applicable to wildlife, and application of population genomics in wildlife population and evolutionary biology, ecology, adaptation and conservation and management. It is important for students, researchers, and wildlife professionals to understand the growing set of population genomics tools that can address issues from delineation of wildlife populations to assessing their capacity to adapt to environmental change. This book brings together leading experts in wildlife population genomics to discuss the key areas of the field, as well as challenges, opportunities and future prospects of wildlife population genomics.

Full Product Details

Author:   Paul A. Hohenlohe ,  Om P. Rajora
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Weight:   1.016kg
ISBN:  

9783030634889


ISBN 10:   3030634884
Pages:   558
Publication Date:   10 December 2020
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Preface I. Perspectives, methods and genomic resources  1 Wildlife population genomics perspectives Paul Hohenlohe (University of Idaho) and Om Rajora (University of New Brunswick) 2 Genomic techniques for non-invasive sampling and low-quality DNA Kim Andrews, Lisette Waits (University of Idaho) 3 Sampling and experimental design for wildlife genomics Eric Anderson (NOAA) 4 Wildlife genomes Jochen Wolf (Uppsala University) II. Population and evolutionary genetic inferences 5 Structural and functional population genomic diversity and structure Jonathan Pritchard (University of Chicago) 6 Population genomic inferences for demography and evolution of wildlife Robin Waples (NOAA) Aaron Shafer (Uppsala University) 7 Landscape population genomics Sam Cushman (Northern Arizona University) III. Management perspectives 8 Population genomics in wildlife management Mike Schwartz (US Forest Service) 9 Wildlife forensics Rob Ogden (Royal Zoological Society of Scotland) 10 Wildlife populations and climate change  Clint Muhlfeld (US Geological Survey) IV. Progress and promises of population genomics in wildlife –  An overview A: Speciation, interspecific  admixture, phylogenetic relationships, and evolution 11 Bears Charlotte Lindqvist (Buffalo University) Beth Shapiro (University of California, Santa Cruz) 12 Canids Bob Wayne (UCLA) 13 Equids Ludovic Orlando (University of Copenhagen) 14 Birds David P. Toews (Cornell University) Hans Ellegren (Uppsala University) 15 Bats Uma Ramakrishnan (National Center for Biological Sciences, India) 16 Crocodiles David A. Ray (Mississippi State University) 17 Amphibians W. Chris Funk (Colorado State University) B: Demography and phylogeography 18 Turtles Brad Shaffer (UCLA) 19 Walrus Aaron Shafer (Trent University) 20 Bears Goran Spong (Swedish University of Agricultural Sciences) Charlotte Lindqvist (Buffalo University) Beth Shapiro (University of California, Santa Cruz) 21 Lions Warren F. Johnson (Smithsonian Conservation Biology Institute, USA) Agostinho Antures (University of Porto, Potugal) 22 Deer Emily Latch (University of Wisconsin Milwaukee) C: Genomics of small populations 23 Bighorn sheep David Coltman (University of Alberta) 24 Kiwi Kristina Ramstad (University of South Carolina, Aiken) D. Population genomics of wildlife disease 25 White nose disease in bats Marm Kilpatrick (UC Santa Cruz) 26 Transmissible cancer in Tasmanian devils Paul Hohenlohe (University of Idaho) E: Genomics of adaptation to changing environments 27 Pika Michael Russello (UBC Okanagan) 28 Snowshoe hare Paulo C. Alves (University of Porto) 29 Lizards Erica B. Rosenblum (UC, Berkeley) Index 

Reviews

The book ... admirably cover the breadth of current focal areas in wildlife genetics. ... Perhaps most impressively, and most usefully, many chapters address a common issue for geneticists: how to effectively bridge the gap between research and application. ... This chapter, combined with an entire part devoted to conservation and management, cements this volume as a valuable tool for students, researchers, and managers working across the broad spectrum of wildlife genomics research. (Paige A. Byerly, The Quarterly Review of Biology, Vol. 97 (3), September, 2022)


“The book … admirably cover the breadth of current focal areas in wildlife genetics. … Perhaps most impressively, and most usefully, many chapters address a common issue for geneticists: how to effectively bridge the gap between research and application. … This chapter, combined with an entire part devoted to conservation and management, cements this volume as a valuable tool for students, researchers, and managers working across the broad spectrum of wildlife genomics research.” (Paige A. Byerly, The Quarterly Review of Biology, Vol. 97 (3), September, 2022)


Author Information

Dr. Paul A. HohenloheAssociate ProfessorUniversity of Idaho Department of Biological SciencesInstitute for Bioinformatics and Evolutionary Studies Moscow, IDUSA Dr. Om P. RajoraProfessorUniversity of New BrunswickFaculty of Forestry and Environmental ManagementFredericton, NBCanada

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