9783030634889-3030634884-Population Genomics: Wildlife

Population Genomics: Wildlife

ISBN-13: 9783030634889
ISBN-10: 3030634884
Edition: 1st ed. 2021
Author: Om P. Rajora, Paul A. Hohenlohe
Publication date: 2020
Publisher: Springer
Format: Hardcover 572 pages
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Book details

ISBN-13: 9783030634889
ISBN-10: 3030634884
Edition: 1st ed. 2021
Author: Om P. Rajora, Paul A. Hohenlohe
Publication date: 2020
Publisher: Springer
Format: Hardcover 572 pages

Summary

Population Genomics: Wildlife (ISBN-13: 9783030634889 and ISBN-10: 3030634884), written by authors Om P. Rajora, Paul A. Hohenlohe, was published by Springer in 2020. With an overall rating of 4.3 stars, it's a notable title among other Anatomy (Biological Sciences, Bioinformatics, Zoology, Evolution) books. You can easily purchase or rent Population Genomics: Wildlife (Hardcover) from BooksRun, along with many other new and used Anatomy books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $4.03.

Description

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.

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