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mFD: an R package to compute and illustrate the multiple facets of functional diversity

Authors :
Magneville, Camille
Loiseau, Nicolas
Albouy, Camille
Casajus, Nicolas
Claverie, Thomas
Escalas, Arthur
Leprieur, Fabien
Maire, Eva
Mouillot, David
Villéger, Sébastien
MARine Biodiversity Exploitation and Conservation (UMR MARBEC)
Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)
Dynamique et durabilité des écosystèmes : de la source à l’océan (DECOD)
Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Centre de Synthèse et d’Analyse sur la Biodiversité (CESAB)
Fondation pour la recherche sur la Biodiversité (FRB)
Centre Universitaire de Formation et de Recherche de Mayotte (CUFR)
Lancaster Environment Centre
Lancaster University
Institut Universitaire de France (IUF)
Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.)
ANR-17-CE32-0003,EXOFISHMED,Poissons herbivores exotiques dans les écosystèmes méditerranéens : causes biologiques et conséquences écologiques d'une invasion en cours(2017)
Source :
Ecography, Ecography (0906-7590) (Wiley), 2022-01, Vol. 2022, N. 1, P. e05904 (15p.), Ecography, 2022, 2022 (1), ⟨10.1111/ecog.05904⟩
Publication Year :
2021

Abstract

WOS:000729415000001; International audience; Functional diversity (FD), the diversity of organism attributes that relates to their interactions with the abiotic and biotic environment, has been increasingly used for the last two decades in ecology, biogeography and conservation. Yet, FD has many facets and their estimations are not standardized nor embedded in a single tool. mFD (multifaceted functional diversity) is an R package that uses matrices of species assemblages and species trait values as building blocks to compute most FD indices. mFD is firstly based on two functions allowing the user to summarize trait and assemblage data. Then it calculates trait-based distances between species pairs, informs the user whether species have to be clustered into functional entities and finally computes multidimensional functional space. To let the user choose the most appropriate functional space for computing multidimensional functional diversity indices, two mFD functions allow assessing and illustrating the quality of each functional space. Next, mFD provides 6 core functions to calculate 16 existing FD indices based on trait-based distances, functional entities or species position in a functional space. The mFD package also provides graphical functions based on the ggplot library to illustrate FD values through customizable and high-resolution plots of species distribution among functional entities or in a multidimensional space. All functions include internal validation processes to check for errors in data formatting which return detailed error messages. To facilitate the use of mFD framework, we built an associated website hosting five tutorials illustrating the use of all the functions step by step.

Details

ISSN :
16000587
Database :
OpenAIRE
Journal :
Ecography
Accession number :
edsair.doi.dedup.....f4ac8a1e6f6132eee4e49853fc791d24
Full Text :
https://doi.org/10.1111/ecog.05904