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Abstract
Climate change is leading to species redistributions. In the tundra biome, shrubs are generally expanding, but not all tundra shrub species will benefit from warming. Winner and loser species, and the characteristics that may determine success or failure, have not yet been fully identified. Here, we investigate whether past abundance changes, current range sizes and projected range shifts derived from species distribution models are related to plant trait values and intraspecific trait variation. We combined 17,921 trait records with observed past and modelled future distributions from 62 tundra shrub species across three continents. We found that species with greater variation in seed mass and specific leaf area had larger projected range shifts, and projected winner species had greater seed mass values. However, trait values and variation were not consistently related to current and projected ranges, nor to past abundance change. Overall, our findings indicate that abundance change and range shifts will not lead to directional modifications in shrub trait composition, since winner and loser species share relatively similar trait spaces.
Functional trait data could guide predictions of species responses to environmental change. Here, the authors show that winner and loser shrub species in the warming tundra biome overlap in trait space and may therefore be difficult to predict based on commonly measured traits.
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1 University of Edinburgh, School of GeoSciences, Edinburgh, UK (GRID:grid.4305.2) (ISNI:0000 0004 1936 7988)
2 University of Gothenburg, Department of Biology and Environmental Sciences, Gothenburg, Sweden (GRID:grid.8761.8) (ISNI:0000 0000 9919 9582); Gothenburg Global Biodiversity Centre, Gothenburg, Sweden (GRID:grid.8761.8) (ISNI:0000 0000 9919 9582)
3 Aarhus University, Department of Biology, Aarhus, Denmark (GRID:grid.7048.b) (ISNI:0000 0001 1956 2722)
4 Helmholtz Centre for Environmental Research - UFZ, Department of Physiological Diversity, Leipzig, Germany (GRID:grid.7492.8) (ISNI:0000 0004 0492 3830); German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany (GRID:grid.421064.5) (ISNI:0000 0004 7470 3956); University of Oulu, Department of Ecology and Genetics, Oulu, Finland (GRID:grid.10858.34) (ISNI:0000 0001 0941 4873)
5 University of Gothenburg, Department of Biology and Environmental Sciences, Gothenburg, Sweden (GRID:grid.8761.8) (ISNI:0000 0000 9919 9582)
6 Qatar University, Environmental Science Center, Doha, Qatar (GRID:grid.412603.2) (ISNI:0000 0004 0634 1084)
7 Cerdanyola del Vallès, CREAF, Barcelona, Spain (GRID:grid.452388.0) (ISNI:0000 0001 0722 403X); University of Greifswald, Institute of Botany and Landscape Ecology, Greifswald, Germany (GRID:grid.5603.0)
8 Great Lakes Forestry Centre, Natural Resources Canada, Canadian Forest Service, Sault Ste Marie, Canada (GRID:grid.146611.5) (ISNI:0000 0001 0775 5922)
9 Utrecht University, Copernicus Institute of Sustainable Development, Utrecht, the Netherlands (GRID:grid.5477.1) (ISNI:0000000120346234); Nelson Mandela University, Centre for African Conservation Ecology, Port Elizabeth, South Africa (GRID:grid.412139.c) (ISNI:0000 0001 2191 3608)
10 Grand Valley State University, Biology Department, Allendale, USA (GRID:grid.256549.9) (ISNI:0000 0001 2215 7728)
11 Dutch Research Council (NWO), The Hague, The Netherlands (GRID:grid.420488.2) (ISNI:0000 0001 1092 7772)
12 School of Life Sciences Weihenstephan, Land Surface-Atmosphere Interactions, Freising, Germany (GRID:grid.420488.2)
13 University of Insubria, Department of Biotechnologies and Life Sciences, Varese, Italy (GRID:grid.18147.3b) (ISNI:0000000121724807)
14 Threatened, Endangered, and Diversity Program, Alaska Department of Fish and Game, Anchorage, USA (GRID:grid.417842.c) (ISNI:0000 0001 0698 5259)
15 Vrije Universiteit, Section Systems Ecology, Amsterdam Institute for Life and Environment (A-LIFE), Amsterdam, The Netherlands (GRID:grid.12380.38) (ISNI:0000 0004 1754 9227)
16 University of Lapland, Arctic Centre, Rovaniemi, Finland (GRID:grid.37430.33) (ISNI:0000 0001 0744 995X)
17 WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland (GRID:grid.419754.a) (ISNI:0000 0001 2259 5533); Swiss Federal Research Institute WSL, Birmensdorf, Switzerland (GRID:grid.419754.a) (ISNI:0000 0001 2259 5533); University of British Columbia, Department of Geography, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830); Climate Change and Extremes in Alpine Regions Research Centre CERC, Davos, Switzerland (GRID:grid.17091.3e)
18 Queen’s University, Kingston, Department of Biology, Ontario, Canada (GRID:grid.410356.5) (ISNI:0000 0004 1936 8331)
19 Memorial University, Department of Biology, St. John’s, Canada (GRID:grid.25055.37) (ISNI:0000 0000 9130 6822)
20 Government of British Columbia, Vancouver, Canada (GRID:grid.451253.4) (ISNI:0000 0004 0635 1100)
21 Federal Institute of Metrology METAS, Department of Chemical and Biological Metrology, Bern-Wabern, Switzerland (GRID:grid.451253.4)
22 University of Helsinki, Research Centre for Ecological Change, Organismal and Evolutionary Biology Research Programme, Helsinki, Finland (GRID:grid.7737.4) (ISNI:0000 0004 0410 2071)
23 University of Oldenburg, Institute of Biology and Environmental Sciences, Oldenburg, Germany (GRID:grid.5560.6) (ISNI:0000 0001 1009 3608)
24 Université du Québec à Trois-Rivières, Trois-Rivières, Département des Sciences de l’environnement et Centre d’études nordiques, Québec, Canada (GRID:grid.265703.5) (ISNI:0000 0001 2197 8284)
25 University of Antwerp, Research Group Plants and Ecosystems (PLECO), Wilrijk, Belgium (GRID:grid.5284.b) (ISNI:0000 0001 0790 3681)
26 University of Helsinki, Department of Geosciences and Geography, Helsinki, Finland (GRID:grid.7737.4) (ISNI:0000 0004 0410 2071)
27 Biology Centre of the Czech Academy of Sciences, Institute of Hydrobiology, Ceske Budejovice, Czech Republic (GRID:grid.418095.1) (ISNI:0000 0001 1015 3316)
28 Florida International University, Department of Biological Sciences, Miami, USA (GRID:grid.65456.34) (ISNI:0000 0001 2110 1845); Marietta College, Department of Biology and Environmental Science, Marietta, USA (GRID:grid.259649.5) (ISNI:0000 0000 9723 3871)
29 WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland (GRID:grid.419754.a) (ISNI:0000 0001 2259 5533); U.S. Geological Survey, Fort Collins, USA (GRID:grid.2865.9) (ISNI:0000000121546924)
30 University of Zurich, Department of Evolutionary Biology and Environmental Studies, Zurich, Switzerland (GRID:grid.7400.3) (ISNI:0000 0004 1937 0650)
31 Komarov Botanical Institute, St. Petersburg, Russia (GRID:grid.465298.4)
32 Memorial University, Department of Biology, St. John’s, Canada (GRID:grid.25055.37) (ISNI:0000 0000 9130 6822); Terra Nova National Park, Parks Canada Agency, Glovertown, Canada (GRID:grid.451141.4)
33 Hasselt University, Centre for Environmental Sciences, Hasselt, Belgium (GRID:grid.12155.32) (ISNI:0000 0001 0604 5662)
34 University of Waterloo, School of Environment, Resources and Sustainability, Waterloo, Canada (GRID:grid.46078.3d) (ISNI:0000 0000 8644 1405)
35 Deakin University, Centre for Integrative Ecology, School of Life and Environmental Sciences, Burwood, Australia (GRID:grid.1021.2) (ISNI:0000 0001 0526 7079)
36 University of Helsinki, Department of Geosciences and Geography, Helsinki, Finland (GRID:grid.7737.4) (ISNI:0000 0004 0410 2071); Woodwell Climate Research Center, Falmouth, USA (GRID:grid.251079.8) (ISNI:0000 0001 2185 0926)