Using genetic data to predict the vulnerability of a native predator to a toxic invader
Abstract
ESR Endangered Species Research Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsSpecials ESR 31:13-17 (2016) - DOI: https://doi.org/10.3354/esr00745 Using genetic data to predict the vulnerability of a native predator to a toxic invader Richard Shine1,*,**, Supen Wang2,**, George Madani1, Kyle N. Armstrong3,4, Libiao Zhang5, Yi-Ming Li2 1School of Life and...
Paper Details
Title
Using genetic data to predict the vulnerability of a native predator to a toxic invader
Published Date
Aug 19, 2016
Journal
Volume
31
Pages
13 - 17
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History