Chagnon201410

Référence

Chagnon, P.-L., Bradley, R.L., Klironomos, J.N. (2014) Plant-fungal symbioses as ecological networks: The need to characterize more than just interaction patterns. Fungal Ecology, 12(C):10-13. (Scopus )

Résumé

Next-generation sequencing technologies are providing us with new opportunities to characterize plant-fungal communities in more depth and with better replication than ever before. The application of network concepts and numerical tools to analyze those extensive data sets is also rapidly increasing. Here we show, however, that network-based tools will further advance our understanding of the ecology of plant-fungal symbioses if (1) researchers characterize both the interaction patterns among species, and investigate the likely biotic and abiotic drivers of such interactions (e.g. species' abundance, functional traits, environmental conditions) and (2) researchers make sure that the assumptions made by their network-based numerical tools are met by their data sets. © 2014 Elsevier Ltd and The British Mycological Society.

Format EndNote

Vous pouvez importer cette référence dans EndNote.

Format BibTeX-CSV

Vous pouvez importer cette référence en format BibTeX-CSV.

Format BibTeX

Vous pouvez copier l'entrée BibTeX de cette référence ci-bas, ou l'importer directement dans un logiciel tel que JabRef .

@ARTICLE { Chagnon201410,
    AUTHOR = { Chagnon, P.-L. and Bradley, R.L. and Klironomos, J.N. },
    TITLE = { Plant-fungal symbioses as ecological networks: The need to characterize more than just interaction patterns },
    JOURNAL = { Fungal Ecology },
    YEAR = { 2014 },
    VOLUME = { 12 },
    PAGES = { 10-13 },
    NUMBER = { C },
    NOTE = { cited By 1 },
    ABSTRACT = { Next-generation sequencing technologies are providing us with new opportunities to characterize plant-fungal communities in more depth and with better replication than ever before. The application of network concepts and numerical tools to analyze those extensive data sets is also rapidly increasing. Here we show, however, that network-based tools will further advance our understanding of the ecology of plant-fungal symbioses if (1) researchers characterize both the interaction patterns among species, and investigate the likely biotic and abiotic drivers of such interactions (e.g. species' abundance, functional traits, environmental conditions) and (2) researchers make sure that the assumptions made by their network-based numerical tools are met by their data sets. © 2014 Elsevier Ltd and The British Mycological Society. },
    AUTHOR_KEYWORDS = { Community ecology; Ecological networks; Functional traits; Mutualistic networks; Mycorrhizas; Null models; Specialization; Symbioses },
    DOCUMENT_TYPE = { Note },
    DOI = { 10.1016/j.funeco.2014.05.002 },
    SOURCE = { Scopus },
    URL = { http://www.scopus.com/inward/record.url?eid=2-s2.0-84927174152&partnerID=40&md5=049e615bfcd74cc093ba76a6f3f3e2fd },
}

********************************************************** ***************** Facebook Twitter *********************** **********************************************************

Abonnez-vous à
l'Infolettre du CEF!

********************************************************** ***************** Pub - Symphonies_Boreales ****************** **********************************************************

********************************************************** ***************** Boîte à trucs *************** **********************************************************

CEF-Référence
La référence vedette !

Jérémie Alluard (2016) Les statistiques au moments de la rédaction 

  • Ce document a pour but de guider les étudiants à intégrer de manière appropriée une analyse statistique dans leur rapport de recherche.

Voir les autres...