2019
DOI: 10.1002/ecy.2876
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Trait probability density (TPD): measuring functional diversity across scales based on TPD with R

Abstract: Functional diversity (FD) has the potential to address many ecological questions, from impacts of global change on biodiversity to ecological restoration. There are several methods estimating the different components of FD. However, most of these methods can only be computed at limited spatial scales and cannot account for intraspecific trait variability (ITV), despite its significant contribution to FD. Trait probability density (TPD) functions (which explicitly account for ITV) reflect the probabilistic natu… Show more

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Cited by 111 publications
(214 citation statements)
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“…We used the following packages in R software ver. 3.3.3 (<http://www.r-project.org>): TPD (Carmona ) for calculating trait probability distributions, functional diversity indices, functional dissimilarity and functional uniqueness measures; FD (Laliberté et al ) for calculating CWMs, betapart (Baselga et al ) for beta diversity analyses; lme4 (Bates et al ) for linear mixed‐effects models; MASS (Venables and Ripley ) for NMDS; and ggplot2 (Wickham ) for graphics.…”
Section: Methodsmentioning
confidence: 99%
“…We used the following packages in R software ver. 3.3.3 (<http://www.r-project.org>): TPD (Carmona ) for calculating trait probability distributions, functional diversity indices, functional dissimilarity and functional uniqueness measures; FD (Laliberté et al ) for calculating CWMs, betapart (Baselga et al ) for beta diversity analyses; lme4 (Bates et al ) for linear mixed‐effects models; MASS (Venables and Ripley ) for NMDS; and ggplot2 (Wickham ) for graphics.…”
Section: Methodsmentioning
confidence: 99%
“…We retained the four first axes of the PCoA, that represented 65.6% of the total variation in the trait matrix, and used the scores of the species in these axes to estimate functional diversity indices. For this, we used the R package TPD 74,75 to obtain a trait probability density function (TPD) for each species and assemblage. TPD functions reflect the abundance of the different trait combinations in each community and can be used to estimate several aspects of functional diversity 56,72 .…”
Section: Data Analysis Full Inventory Completeness Was Reported As Tmentioning
confidence: 99%
“…By developing robust functions for estimating the primary facets of FD-the richness, divergence, and regularity components (Pavoine & Bonsall, 2011;Tucker et al, 2017),-we open up the potential to fully exploit the strengths of the Hutchinsonian niche concept in functional ecology research (Blonder, 2019). As in the case of other frameworks for estimating FD (e.g., Mouchet et al, 2010;Junker, Kuppler, Bathke, Schreyer, & Trutschnig, 2016;Carmona et al, 2019), these new functions can be used to answer a large assortment of questions. Alpha and beta FD allow us to understand the richness of a functional hyperspace, and in which components multiple functional hyperspaces differ, namely the pairwise richness or replacement difference in term of functional traits.…”
Section: Discussionmentioning
confidence: 99%
“…This function allows the user to calculate functional richness in a kernel context. Alpha FD is simply the total volume of the functional niche hyperspace-but see Carmona et al (2016bCarmona et al ( , 2016aCarmona et al ( , 2019 for an alternative estimation based on trait probability density (TPD). & Gomes, 2012;Carvalho, Cardoso, Borges, Schmera, & Podani, 2013) in a similar way as already proposed for functional trees .…”
Section: Kernelalphamentioning
confidence: 99%