Conservation Genetics

, Volume 12, Issue 2, pp 503–515

Modelling range shifts and assessing genetic diversity distribution of the montane aquatic mayfly Ameletus inopinatus in Europe under climate change scenarios

  • Julia Taubmann
  • Kathrin Theissinger
  • Kevin A. Feldheim
  • Irina Laube
  • Wolfram Graf
  • Peter Haase
  • Jes Johannesen
  • Steffen U. Pauls
Research Article

DOI: 10.1007/s10592-010-0157-x

Cite this article as:
Taubmann, J., Theissinger, K., Feldheim, K.A. et al. Conserv Genet (2011) 12: 503. doi:10.1007/s10592-010-0157-x

Abstract

Genetic diversity is one of the most important criteria to identify unique populations for conservation purposes. In this study we analyze the genetic population structure of the endangered montane mayfly Ameletus inopinatus in its European range. The species is restricted to unpolluted cold-water streams, and exhibits an insular distribution across highlands of Central Europe and a more continuous distribution across Fennoscandia and Northern Euro-Siberia. We genotyped 389 individuals from 31 populations for eight highly polymorphic microsatellite loci to investigate genetic diversity and population structure within and among European mountain ranges. Genetic diversity of A. inopinatus decreases along an east–west gradient in Central Europe and along a north–south gradient in Fennoscandia, respectively. Centres of exceptionally high genetic diversity are located in the Eastern Alps (Andertal Moor, Austria), the High Tatra, the Beskides, the Sudety Mountains and the Eastern German Highlands. Species distribution modelling for 2080 projects major regional habitat loss, particularly in Central Europe mountain ranges. By relating these range shifts to our population genetic results, we identify conservation units primarily in Eastern Europe, that if preserved would maintain high levels of the present-day genetic diversity and continue to provide long-term suitable habitat under future climate warming scenarios.

Keywords

MicrosatellitesPopulation geneticsSpecies distribution modellingConservationAquatic insectsWahlund effect

Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  • Julia Taubmann
    • 1
    • 2
  • Kathrin Theissinger
    • 1
    • 2
  • Kevin A. Feldheim
    • 3
  • Irina Laube
    • 1
    • 4
  • Wolfram Graf
    • 5
  • Peter Haase
    • 2
  • Jes Johannesen
    • 1
  • Steffen U. Pauls
    • 4
    • 6
  1. 1.Department of Ecology, Institute of ZoologyJohannes Gutenberg UniversityMainzGermany
  2. 2.Department of Limnology and ConservationSenckenbergGelnhausenGermany
  3. 3.Pritzker Laboratory for Molecular Systematics and EvolutionThe Field MuseumChicagoUSA
  4. 4.Biodiversity and Climate Research Centre (BiK-F)Frankfurt am MainGermany
  5. 5.Institute of Hydrobiology and Aquatic Ecosystem ManagementWienAustria
  6. 6.Department of EntomologyUniversity of MinnesotaSt PaulUSA