knz_001d

<p>Plant composition within multiple replicates at an annually burned tallgrass
prairie site in the Konza Prairie LTER, Manhattan KS (Watershed 001d).</p>

datasets

Univariate and multivariate temporal and spatial diversity indices,
rank abundance curves, and community stability measures. The functions
implement measures 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
measures. The diversity indices are temporal and spatial analogs to
traditional diversity indices. Specifically, the package includes functions
to calculate community richness, evenness and diversity at a given point in
space and time. In addition, it contains functions to calculate species
turnover, mean rank shifts, and lags in community similarity between two
time points. Details of the methods are available in
Hallett et al. (2016) <doi:10.1111/2041-210X.12569> and Avolio
et al. (2019) <doi:10.1002/ecs2.2881>.

Matthew B Jones

codyn

Community Dynamics Metrics

Lauren Hallett

Meghan L. Avolio

Ian T. Carroll

Sydney K. Jones

A. Andrew M. MacDonald

Dan F. B. Flynn

Peter Slaughter

Julie Ripplinger

Scott L. Collins

Corinna Gries

Matthew B. Jones

knz_001d function

<p>A data frame with 8768 rows and 4 variables</p>

Format

Data from Konza Prairie, watershed 001d — knz_001d

Data from Konza Prairie, watershed 001d

knz_001d: Data from Konza Prairie, watershed 001d

Description

Usage

Arguments

Format

Details