TPD - 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) <doi:10.1016/j.tree.2016.02.003> for further information.

Last updated 5 years ago

3.42 score 2 stars 33 scripts 284 downloads

funspace - Creating and Representing Functional Trait Spaces

Estimation of functional spaces based on traits of organisms. The package includes functions to impute missing trait values (with or without considering phylogenetic information), and to create, represent and analyse two dimensional functional spaces based on principal components analysis, other ordination methods, or raw traits. It also allows for mapping a third variable onto the functional space. See 'Carmona et al. (2021)' <doi:10.1038/s41586-021-03871-y>, 'Puglielli et al. (2021)' <doi:10.1111/nph.16952>, 'Carmona et al. (2021)' <doi:10.1126/sciadv.abf2675>, 'Carmona et al. (2019)' <doi:10.1002/ecy.2876> for more information.

Last updated 5 months ago

1.60 score 2 stars 9 scripts 354 downloads

DarkDiv - Estimating Dark Diversity and Site-Specific Species Pools

Estimation of dark diversity and site-specific species pools using species co-occurrences. It includes implementations of probabilistic dark diversity based on the Hypergeometric distribution, as well as estimations based on the Beals index, which can be transformed to binary predictions using different thresholds, or transformed into a favorability index. All methods include the possibility of using a calibration dataset that is used to estimate the indication matrix between pairs of species, or to estimate dark diversity directly on a single dataset. See De Caceres and Legendre (2008) <doi:10.1007/s00442-008-1017-y>, Lewis et al. (2016) <doi:10.1111/2041-210X.12443>, Partel et al. (2011) <doi:10.1016/j.tree.2010.12.004>, Real et al. (2017) <doi:10.1093/sysbio/syw072> for further information.

Last updated 4 years ago

1.00 score 6 scripts 194 downloads