FN Archimer Export Format
PT J
TI mFD: an R package to compute and illustrate the multiple facets of functional diversity
BT 
AF Magneville, Camille
   Loiseau, Nicolas
   Albouy, Camille
   Casajus, Nicolas
   Claverie, Thomas
   Escalas, Arthur
   Leprieur, Fabien
   Maire, Eva
   Mouillot, David
   Villéger, Sébastien
AS 1:1;2:1;3:4;4:5;5:1,6;6:1;7:1,2;8:3;9:1,2;10:1;
FF 1:;2:;3:PDG-RBE-HALGO-EMH;4:;5:;6:;7:;8:;9:;10:;
C1 MARBEC, Univ. Montpellier, CNRS, Ifremer, IRD Montpellier, France
   Inst. Univ. de France Paris ,France
   Lancaster Environment Centre, Lancaster Univ. Lancaster, UK
   IFREMER, INRAE, Inst Agro, DECOD Ecosyst Dynam & Sustainabil, Agrocampus Ouest, Lorient, France
   FRB‐CESAB Montpellier,France
   Centre Univ. de Formation et de Recherche de Mayotte ,France
C2 UNIV MONTPELLIER, FRANCE
   INST UNIV FRANCE, FRANCE
   UNIV LANCASTER, UK
   IFREMER, FRANCE
   FRB‐CESAB, FRANCE
   UNIV MAYOTTE, FRANCE
SI NANTES
SE PDG-RBE-HALGO-EMH
UM MARBEC
   DECOD
IN WOS Ifremer UMR
   WOS Cotutelle UMR
   DOAJ
   copubli-france
   copubli-europe
   copubli-univ-france
IF 5.9
TC 78
UR https://archimer.ifremer.fr/doc/00740/85252/90287.pdf
   https://archimer.ifremer.fr/doc/00740/85252/90288.pdf
LA English
DT Article
DE ;alpha-diversity;beta-diversity;functional entities;functional space;functional traits;Hill numbers
AB unctional 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. 
PY 2022
PD JAN
SO Ecography
SN 0906-7590
PU Wiley
VL 2022
IS 1
UT 000729415000001
DI 10.1111/ecog.05904
ID 85252
ER

EF