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MOLECULAR GENETICS IN WILDLIFE SCIENCE, CONSERVATION, AND MANAGEMENT
Author(s) -
DeYOUNG RANDY W.,
BRENNAN LEONARD A.
Publication year - 2005
Publication title -
the journal of wildlife management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.94
H-Index - 111
eISSN - 1937-2817
pISSN - 0022-541X
DOI - 10.2193/0022-541x(2005)69[1360:mgiwsc]2.0.co;2
Subject(s) - toolbox , wildlife , wildlife management , wildlife conservation , computer science , section (typography) , data science , field (mathematics) , geography , ecology , biology , mathematics , pure mathematics , programming language , operating system
this rapidly developing field. Many of the authors we selected had previously published in the Journal of Wildlife Management and were familiar with the interests and needs of the Journal’s audience. Unbeknownst to us, several of the individuals we contacted had independently recognized the need for a review paper in their respective topical areas and they provided valuable advice during the preparation of this section. Finally, we assembled a panel of experienced reviewers to provide a critical review of each paper to ensure a clear and thorough coverage of the topics. We begin this section with an overview paper by DeYoung and Honeycutt that uses a toolbox metaphor to illustrate the vast number of wildlife research topics that can be tackled using molecular techniques. The paper emphasizes how genetic methods can be added to the existing collection of “tools” (e.g., radiotelemetry, Geographic Information Systems [GIS], simulation modeling, etc.) that are applied to problems in wildlife ecology, conservation, and management. This paper sets the stage for the next 5 papers that address many of DeYoung and Honeycutt’s key