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The global loss of floristic uniqueness

Author

Listed:
  • Qiang Yang

    (University of Konstanz)

  • Patrick Weigelt

    (University of Göttingen
    Campus-Institut Data Science)

  • Trevor S. Fristoe

    (University of Konstanz)

  • Zhijie Zhang

    (University of Konstanz)

  • Holger Kreft

    (University of Göttingen
    University of Goettingen)

  • Anke Stein

    (University of Konstanz)

  • Hanno Seebens

    (Senckenberg Biodiversity and Climate Research Centre)

  • Wayne Dawson

    (Durham University)

  • Franz Essl

    (University of Vienna)

  • Christian König

    (University of Potsdam)

  • Bernd Lenzner

    (University of Vienna)

  • Jan Pergl

    (Institute of Botany, Department of Invasion Ecology)

  • Robin Pouteau

    (IRD)

  • Petr Pyšek

    (Institute of Botany, Department of Invasion Ecology
    Charles University)

  • Marten Winter

    (German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig)

  • Aleksandr L. Ebel

    (Tomsk State University
    Siberian Branch of Russian Academy of Sciences)

  • Nicol Fuentes

    (Universidad de Concepción)

  • Eduardo L. H. Giehl

    (Federal University of Santa Catarina)

  • John Kartesz

    (Biota of North America Program)

  • Pavel Krestov

    (Botanical Garden-Institute FEB RAS)

  • Toomas Kukk

    (Estonian University of Life Sciences)

  • Misako Nishino

    (Biota of North America Program)

  • Andrey Kupriyanov

    (Siberian Branch of Russian Academy of Sciences)

  • Jose Luis Villaseñor

    (Universidad Nacional Autónoma de México)

  • Jan J. Wieringa

    (Naturalis Biodiversity Centre)

  • Abida Zeddam

    (Ingenieur en Ecologie vegetale)

  • Elena Zykova

    (Siberian Branch of Russian Academy of Sciences)

  • Mark Kleunen

    (University of Konstanz
    Taizhou University)

Abstract

Regional species assemblages have been shaped by colonization, speciation and extinction over millions of years. Humans have altered biogeography by introducing species to new ranges. However, an analysis of how strongly naturalized plant species (i.e. alien plants that have established self-sustaining populations) affect the taxonomic and phylogenetic uniqueness of regional floras globally is still missing. Here, we present such an analysis with data from native and naturalized alien floras in 658 regions around the world. We find strong taxonomic and phylogenetic floristic homogenization overall, and that the natural decline in floristic similarity with increasing geographic distance is weakened by naturalized species. Floristic homogenization increases with climatic similarity, which emphasizes the importance of climate matching in plant naturalization. Moreover, floristic homogenization is greater between regions with current or past administrative relationships, indicating that being part of the same country as well as historical colonial ties facilitate floristic exchange, most likely due to more intensive trade and transport between such regions. Our findings show that naturalization of alien plants threatens taxonomic and phylogenetic uniqueness of regional floras globally. Unless more effective biosecurity measures are implemented, it is likely that with ongoing globalization, even the most distant regions will lose their floristic uniqueness.

Suggested Citation

  • Qiang Yang & Patrick Weigelt & Trevor S. Fristoe & Zhijie Zhang & Holger Kreft & Anke Stein & Hanno Seebens & Wayne Dawson & Franz Essl & Christian König & Bernd Lenzner & Jan Pergl & Robin Pouteau & , 2021. "The global loss of floristic uniqueness," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-27603-y
    DOI: 10.1038/s41467-021-27603-y
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    Cited by:

    1. Schaumann, Sarah K. & Bergmann, Felix M. & Wagner, Stephan M. & Winkenbach, Matthias, 2023. "Route efficiency implications of time windows and vehicle capacities in first- and last-mile logistics," European Journal of Operational Research, Elsevier, vol. 311(1), pages 88-111.
    2. Kang, Dongju & Kang, Doeun & Hwangbo, Sumin & Niaz, Haider & Lee, Won Bo & Liu, J. Jay & Na, Jonggeol, 2023. "Optimal planning of hybrid energy storage systems using curtailed renewable energy through deep reinforcement learning," Energy, Elsevier, vol. 284(C).
    3. Qushua, Najat & Smith-Appelson, Jesse & Sarraf, Danielle & Stark, Lindsay & Seff, Ilana, 2023. "Seeking approval first: Mental health care utilization and engagements among MENA adolescents in the United States," Children and Youth Services Review, Elsevier, vol. 155(C).

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