IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v546y2017i7656d10.1038_nature22399.html
   My bibliography  Save this article

Leaf bacterial diversity mediates plant diversity and ecosystem function relationships

Author

Listed:
  • Isabelle Laforest-Lapointe

    (Université du Québec à Montréal
    Centre d’étude de la Forêt, Université du Québec à Montréal)

  • Alain Paquette

    (Université du Québec à Montréal
    Centre d’étude de la Forêt, Université du Québec à Montréal)

  • Christian Messier

    (Université du Québec à Montréal
    Centre d’étude de la Forêt, Université du Québec à Montréal
    Institut des Sciences de la Forêt Tempérée, Université du Québec en Outaouais)

  • Steven W. Kembel

    (Université du Québec à Montréal
    Centre d’étude de la Forêt, Université du Québec à Montréal)

Abstract

A tree biodiversity and ecosystem function experiment shows that leaf bacterial diversity is positively related to plant community productivity, and explains a portion of the variation in productivity that would otherwise be attributed to plant diversity and functional traits.

Suggested Citation

  • Isabelle Laforest-Lapointe & Alain Paquette & Christian Messier & Steven W. Kembel, 2017. "Leaf bacterial diversity mediates plant diversity and ecosystem function relationships," Nature, Nature, vol. 546(7656), pages 145-147, June.
    • Handle: RePEc:nat:nature:v:546:y:2017:i:7656:d:10.1038_nature22399
    DOI: 10.1038/nature22399
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/nature22399
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1038/nature22399?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Barbara Emmenegger & Julien Massoni & Christine M. Pestalozzi & Miriam Bortfeld-Miller & Benjamin A. Maier & Julia A. Vorholt, 2023. "Identifying microbiota community patterns important for plant protection using synthetic communities and machine learning," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    2. Jake M. Robinson & Jacob G. Mills & Martin F. Breed, 2018. "Walking Ecosystems in Microbiome-Inspired Green Infrastructure: An Ecological Perspective on Enhancing Personal and Planetary Health," Challenges, MDPI, vol. 9(2), pages 1-15, November.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:546:y:2017:i:7656:d:10.1038_nature22399. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.