Data_Jena_20_metacommunities

Because the Jena Experiment includes four blocks and five richness levels, all 20 block–richness combinations are considered, resulting in 20 sets of plots. In other words, all 76 plots are grouped into 20 sets based on their block identifiers and species richness levels. Each set is treated as a metacommunity, comprising three or four plots (communities). All plots within a metacommunity share the same number of species but differ in species composition.

datasets

Provides functions to to compute a continuum of information-based measures
for quantifying the temporal stability of populations, communities, and ecosystems,
as well as their associated synchrony, based on species (or species assemblage)
biomass or other key variables. When biodiversity data are available, the package
also enables the assessment of the corresponding diversity–stability relationships.
All measures are applicable in both temporal and spatial contexts. The theoretical
and methodological background is detailed in Chao et al. (2025)
<doi:10.1101/2025.08.20.671203>.

Anne Chao

iSTAY

Information-Based Stability and Synchrony Measures

Yu-Ting Huang

Johnny Shia

Data_Jena_20_metacommunities function

<code>Data_Jena_20_metacommunities</code> contains 20 lists; each list is a data frame with plot identifiers as rows and time points as columns.

Format

Because the Jena Experiment includes four blocks and five richness levels, all 20 block–richness combinations are considered, resulting in 20 sets of plots. In other words, all 76 plots are grouped into 20 sets based on their block identifiers and species richness levels. Each set is treated as a metacommunity, comprising three or four plots (communities). All plots within a metacommunity share the same number of species but differ in species composition.

Data_Jena_20_metacommunities: Biomass time series data of 20 sets of plots in the Jena experiment

Description

Usage

Arguments

Format