Univariate and multivariate temporal and spatial diversity indices, rank abundance curves, and community stability metrics for ecologists.
The functions in
codyn implement metrics that are either explicitly temporal and include the option to calculate them over multiple replicates, or spatial and include the option to calculate them over multiple time points.
Functions fall into five categories: static diversity indices, temporal diversity indices, spatial diversity indices, rank abundance curves, and community stability metrics.
The diversity indices in
codyn are temporal and spatial analogs to traditional diversity indices.
codyn includes functions to calculate community richness, evenness and diversity at a given point in space and time. In addition,
codyn contains functions to calculate species turnover, mean rank shifts, and lags in community similarity between two time points. For the components of rank abundance curves, the shape of the rank abundance curve, species abundances and multivariate metrics of community composition,
codyn contains functions to calculate these metrics either between time points or a single time point between two paired replicates.
The community stability metrics in
codyn calculate overall stability and patterns of species covariance and synchrony over time.
codyn contains vignettes that describe methods and reproduce figures from published papers to help users contextualize and apply functions to their own data.
Work on this package was supported by National Science Foundation grant #1262458 to the National Center for Ecological Analysis and Synthesis (NCEAS), the University of Wisconsin, and the University of New Mexico, and a SESYNC Synthesis Postdoctoral Fellowship to MLA.
turnover: Calculates species turnover between time periods
rank_shift: Calculates the mean relative change in species rank abundances
rate_change: Calculates the rate change in a community over time
rate_change_interval: Produces a data frame containing differences in species composition between samples at increasing time intervals
community_stability: Calculates community stability over time
variance_ratio: Computes the ratio of the variance of aggregate species abundances in a community
synchrony: Calculates the degree synchrony in species abundances
temporal_torus_translation: Calculates a test statistic on a null ecological community created via cyclic shifts.
confint provides mean and confidence intervals of this null distribution
community_structure: Calculates richness and evenness (using specified metric) for a replicate
community_diversity: Calculates diversity (using specified metric) for a replicate
RAC_change:Calculates changes in species richness, evenness, species' ranks, gain, and losses for a replicate over time
abundance_change: For each species in a replicate, calculates changes in abundance over time
curve_change: Calculates changes in the shape of the RAC curve for each replicate over time
multivariate_change: Calculates changes in community composition and dispersion over time
RAC_difference: Calculates differences in species richness, evenness, species' ranks, shared species between paired samples at a single point in time
abundance_difference: Calculates differences in abundance for each species in paired samples at a single point in time
curve_difference: Calculates differences in the shape of the RAC between paired samples at a single point in time
multivariate_difference: Calculates differences in community composition and dispersion of all replicates between treatments at a single point in time
Lauren Hallett firstname.lastname@example.org
Meghan L. Avolio email@example.com
Ian T. Carroll firstname.lastname@example.org
Sydney K. Jones email@example.com
A. Andrew A. MacDonald firstname.lastname@example.org
Dan F. B. Flynn email@example.com
Peter Slaughter firstname.lastname@example.org
Julie Ripplinger email@example.com
Scott L. Collins firstname.lastname@example.org
Corinna Gries email@example.com
Matthew B. Jones firstname.lastname@example.org
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.