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Late Quaternary climate legacies in contemporary plant functional composition

B. Blonder, BJ. Enquist, BJ. Graae, J. Kattge, BS. Maitner, N. Morueta-Holme, A. Ordonez, I. Šímová, J. Singarayer, JC. Svenning, PJ. Valdes, C. Violle,

. 2018 ; 24 (10) : 4827-4840. [pub] 20180729

Jazyk angličtina Země Anglie, Velká Británie

Typ dokumentu historické články, časopisecké články, práce podpořená grantem, Research Support, U.S. Gov't, Non-P.H.S.

Perzistentní odkaz   https://www.medvik.cz/link/bmc19012514

The functional composition of plant communities is commonly thought to be determined by contemporary climate. However, if rates of climate-driven immigration and/or exclusion of species are slow, then contemporary functional composition may be explained by paleoclimate as well as by contemporary climate. We tested this idea by coupling contemporary maps of plant functional trait composition across North and South America to paleoclimate means and temporal variation in temperature and precipitation from the Last Interglacial (120 ka) to the present. Paleoclimate predictors strongly improved prediction of contemporary functional composition compared to contemporary climate predictors, with a stronger influence of temperature in North America (especially during periods of ice melting) and of precipitation in South America (across all times). Thus, climate from tens of thousands of years ago influences contemporary functional composition via slow assemblage dynamics.

Center for Macroecology Evolution and Climate Natural History Museum of Denmark University of Copenhagen Copenhagen Denmark

Center for Theoretical Study Charles University Prague Czech Republic Department of Ecology Faculty of Science Charles University Prague Czech Republic

CNRS CEFE Université de Montpellier Université Paul Valéry EPHE Montpellier France

Department of Biology Norwegian University of Science and Technology Trondheim Norway

Department of Ecology and Evolutionary Biology University of Arizona Tucson Arizona

Department of Ecology and Evolutionary Biology University of Arizona Tucson Arizona Santa Fe Institute Santa Fe New Mexico

Department of Meteorology University of Reading Reading UK

Environmental Change Institute School of Geography and the Environment University of Oxford Oxford UK Department of Biology Norwegian University of Science and Technology Trondheim Norway School of Life Sciences Arizona State University Tempe Arizona

Max Planck Institute for Biogeochemistry Jena Germany German Centre for Integrative Biodiversity Research Halle Jena Leipzig Leipzig Germany

School of Geographical Sciences University of Bristol Bristol UK

Section for Ecoinformatics and Biodiversity Department of Bioscience Aarhus University Aarhus C Denmark Center for Biodiversity Dynamics in a Changing World Aarhus University Aarhus Denmark

Section for Ecoinformatics and Biodiversity Department of Bioscience Aarhus University Aarhus C Denmark School of Biological Sciences Queens University Belfast Northern Ireland

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$a The functional composition of plant communities is commonly thought to be determined by contemporary climate. However, if rates of climate-driven immigration and/or exclusion of species are slow, then contemporary functional composition may be explained by paleoclimate as well as by contemporary climate. We tested this idea by coupling contemporary maps of plant functional trait composition across North and South America to paleoclimate means and temporal variation in temperature and precipitation from the Last Interglacial (120 ka) to the present. Paleoclimate predictors strongly improved prediction of contemporary functional composition compared to contemporary climate predictors, with a stronger influence of temperature in North America (especially during periods of ice melting) and of precipitation in South America (across all times). Thus, climate from tens of thousands of years ago influences contemporary functional composition via slow assemblage dynamics.
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$a Enquist, Brian J $u Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona. Santa Fe Institute, Santa Fe, New Mexico.
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$a Graae, Bente J $u Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway.
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$a Kattge, Jens $u Max Planck Institute for Biogeochemistry, Jena, Germany. German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.
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$a Maitner, Brian S $u Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona.
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$a Ordonez, Alejandro $u Section for Ecoinformatics & Biodiversity, Department of Bioscience, Aarhus University, Aarhus C, Denmark. School of Biological Sciences, Queens University, Belfast, Northern Ireland.
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$a Šímová, Irena $u Center for Theoretical Study, Charles University, Prague, Czech Republic. Department of Ecology, Faculty of Science, Charles University, Prague, Czech Republic.
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$a Singarayer, Joy $u Department of Meteorology, University of Reading, Reading, UK.
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$a Svenning, Jens-Christian $u Section for Ecoinformatics & Biodiversity, Department of Bioscience, Aarhus University, Aarhus C, Denmark. Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Aarhus University, Aarhus, Denmark.
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$a Valdes, Paul J $u School of Geographical Sciences, University of Bristol, Bristol, UK.
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$a Violle, Cyrille $u CNRS, CEFE, Université de Montpellier - Université Paul Valéry - EPHE, Montpellier, France.
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