Methods for Measuring Functional Diversity Based on Trait Probability Density

Tools to calculate trait probability density functions (TPD) at any scale (e.g. populations, species, communities). TPD functions are used to compute several indices of functional diversity, as well as its partition across scales. These indices constitute a unified framework that incorporates the underlying probabilistic nature of trait distributions into uni- or multidimensional functional trait-based studies. See Carmona et al. (2016) for further information.


Overview

TPD is a package that includes different methods, based on the computation of the trait probability densities of populations and species (TPDs), and its extension to communities (TPDc). These methods allow estimating several components of functional diversity and to partition it across scales (within and between populations or species, within and between communities). The collection of methods constitute a unified framework that incorporates the underlying probabilistic nature of trait distributions in a uni- or multivariate trait space. For more information check:

Carmona, C.P. et al. (2016) Traits Without Borders : Integrating Functional Diversity Across Scales. Trends Ecol. Evol. 31, 382–394

Carmona, C.P. et al. (2016) The Density Awakens: A Reply to Blonder. Trends Ecol. Evol. DOI: 10.1016/j.tree.2016.07.003

Carmona, C.P. et al. (2017) Towards a Common Toolbox for Rarity: A Response to Violle et al. Trends Ecol. Evol. 31, 427–435

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Reference manual

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install.packages("TPD")

1.0.0 by Carlos P. Carmona, 3 months ago


Browse source code at https://github.com/cran/TPD


Authors: Carlos P. Carmona <[email protected]>


Documentation:   PDF Manual  


GPL-3 license


Imports gridExtra, mvtnorm, graphics, stats

Depends on ggplot2, ks

Suggests knitr, testthat


See at CRAN