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Evolutionary genomics can improve prediction of species' responses to climate change.
Waldvogel, Ann-Marie; Feldmeyer, Barbara; Rolshausen, Gregor; Exposito-Alonso, Moises; Rellstab, Christian; Kofler, Robert; Mock, Thomas; Schmid, Karl; Schmitt, Imke; Bataillon, Thomas; Savolainen, Outi; Bergland, Alan; Flatt, Thomas; Guillaume, Frederic; Pfenninger, Markus.
Afiliação
  • Waldvogel AM; Senckenberg Biodiversity and Climate Research Centre Frankfurt am Main Germany.
  • Feldmeyer B; Senckenberg Biodiversity and Climate Research Centre Frankfurt am Main Germany.
  • Rolshausen G; Senckenberg Biodiversity and Climate Research Centre Frankfurt am Main Germany.
  • Exposito-Alonso M; Department of Plant Biology Carnegie Institution for Science Stanford California.
  • Rellstab C; Swiss Federal Institute WSL Birmensdorf Switzerland.
  • Kofler R; Institute of Population Genetics Vetmeduni Vienna Austria.
  • Mock T; School of Environmental Sciences University of East Anglia Norwich United Kingdom.
  • Schmid K; Institute of Plant Breeding, Seed Science and Population Genetics University of Hohenheim Stuttgart Germany.
  • Schmitt I; Senckenberg Biodiversity and Climate Research Centre Frankfurt am Main Germany.
  • Bataillon T; Institute of Ecology, Evolution and Diversity Goethe-University Frankfurt am Main Germany.
  • Savolainen O; LOEWE Centre for Translational Biodiversity Genomics (LOEWE-TBG) Frankfurt am Main Germany.
  • Bergland A; Bioinformatics Research Center Aarhus University Aarhus Denmark.
  • Flatt T; Department of Ecology and Genetics University of Oulu Finland.
  • Guillaume F; Department of Biology University of Virginia Charlottesville Virginia.
  • Pfenninger M; Department of Biology University of Fribourg Fribourg Switzerland.
Evol Lett ; 4(1): 4-18, 2020 Feb.
Article em En | MEDLINE | ID: mdl-32055407
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Evol Lett Ano de publicação: 2020 Tipo de documento: Article
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Evol Lett Ano de publicação: 2020 Tipo de documento: Article