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Analysing Patterns of Biodiversity

In: Multivariate Analysis of Ecological Data with ade4

Author

Listed:
  • Jean Thioulouse

    (CNRS UMR 5558 – Université de Lyon, Laboratoire de Biométrie et Biologie Evolutive)

  • Stéphane Dray

    (CNRS UMR 5558 – Université de Lyon, Laboratoire de Biométrie et Biologie Evolutive)

  • Anne-Béatrice Dufour

    (CNRS UMR 5558 – Université de Lyon, Laboratoire de Biométrie et Biologie Evolutive)

  • Aurélie Siberchicot

    (CNRS UMR 5558 – Université de Lyon, Laboratoire de Biométrie et Biologie Evolutive)

  • Thibaut Jombart

    (London School of Hygiene and Tropical Medicine, Department of Infectious Disease Epidemiology)

  • Sandrine Pavoine

    (Muséum national déHistoire naturelle, CNRS, Sorbonne Université, Centre d’Ecologie et des Sciences de la Conservation (CESCO))

Abstract

Patterns of functional or phylogenetic diversity among communities can be described thanks to the Double Principal Coordinate Analysis (DPCoA). This approach depicts differences among communities in low-dimensional plots and explains those differences by their species compositions and the functional or phylogenetic differences among species.

Suggested Citation

  • Jean Thioulouse & Stéphane Dray & Anne-Béatrice Dufour & Aurélie Siberchicot & Thibaut Jombart & Sandrine Pavoine, 2018. "Analysing Patterns of Biodiversity," Springer Books, in: Multivariate Analysis of Ecological Data with ade4, chapter 0, pages 281-294, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4939-8850-1_14
    DOI: 10.1007/978-1-4939-8850-1_14
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