Genetic consequences of climate change for northern plants

Author:

Alsos Inger Greve12,Ehrich Dorothee34,Thuiller Wilfried5,Eidesen Pernille Bronken23,Tribsch Andreas36,Schönswetter Peter37,Lagaye Claire5,Taberlet Pierre5,Brochmann Christian3

Affiliation:

1. Tromsø University Museum, 9037 Tromsø, Norway

2. The University Centre in Svalbard, PO Box 156, 9171 Longyearbyen, Norway

3. National Centre for Biosystematics, Natural History Museum, University of Oslo, PO Box 1172 Blindern, 0318 Oslo, Norway

4. Department of Arctic and Marine Biology, Faculty of Biosciences, Fisheries and Economics, University of Tromsø, 9037 Tromsø, Norway

5. Laboratoire d'Ecologie Alpine, CNRS UMR 5553, Université Joseph Fourier, PO Box 53, 38041 Grenoble Cedex 09, France

6. Department of Organismic Biology, University of Salzburg, Hellbrunnerstrasse 34, 5020 Salzburg, Austria

7. Botanical Institute, University of Innsbruck, Innrain 52, 6020 Innsbruck, Austria

Abstract

Climate change will lead to loss of range for many species, and thus to loss of genetic diversity crucial for their long-term persistence. We analysed range-wide genetic diversity (amplified fragment length polymorphisms) in 9581 samples from 1200 populations of 27 northern plant species, to assess genetic consequences of range reduction and potential association with species traits. We used species distribution modelling (SDM, eight techniques, two global circulation models and two emission scenarios) to predict loss of range and genetic diversity by 2080. Loss of genetic diversity varied considerably among species, and this variation could be explained by dispersal adaptation (up to 57%) and by genetic differentiation among populations ( F ST ; up to 61%). Herbs lacking adaptations for long-distance dispersal were estimated to lose genetic diversity at higher rate than dwarf shrubs adapted to long-distance dispersal. The expected range reduction in these 27 northern species was larger than reported for temperate plants, and all were predicted to lose genetic diversity according to at least one scenario. SDM combined with F ST estimates and/or with species trait information thus allows the prediction of species' vulnerability to climate change, aiding rational prioritization of conservation efforts.

Publisher

The Royal Society

Subject

General Agricultural and Biological Sciences,General Environmental Science,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine

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