Ecological Archives E091-022-A4

Etienne Laliberté and Pierre Legendre. 2010. A distance-based framework for measuring functional diversity from multiple traits. Ecology 91:299–305.

Appendix D. A table listing the main features of the "dbFD" function. The "F_RED" function is from Villéger et al. (2008).

 

F_RED

dbFD

Input - traits

 

 

Allows quantitative (i.e., continuous) traits?

yes

yes

Allows qualitative (i.e., categorical) traits?

no

yes

Allows semi-quantitative (i.e., ordinal) traits?

no

yes

Tolerates missing values?

no

yes

Allows one trait only?

no

yes

Can have more traits than species?

no

yes

Can be a species × species distance matrix?

no

yes

Allows weighting of individual traits?

no

yes

Input - abundances

   

Allows sites with only one species?

no

yes

Allows sites with only two species?

no

yes

Can be missing?

no

yes

Options

 

 

Can standardize traits or not?

no

yes

Can weigh indices by abundances or not?

no

yes

Different ways of measuring FRic depending on the situation?

no

yes

Can FRic be standardized by the global hull volume (or other)?

no

yes

Can respect S > 2T condition* when FRic is the convex hull volume?

no

yes

Computes Rao’s quadratic entropy Q?

no

yes

Computes FDis (functional dispersion)?

no

yes

Computes CWM (community-weighted trait means)?

no

yes

Computes FGri (functional group richness)?

no

yes

Notes: S is the number of functionally singular species in the community, and T is the number of traits. *This condition was suggested by Villéger et al. (2008) for comparing FRic values between communities.

LITERATURE CITED

Villéger, S., N. W. H. Mason, and D. Mouillot. 2008. New multidimensional functional diversity indices for a multifaceted framework in functional ecology. Ecology 89:2290–2301.


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