metadata

A dataset containing salinity values of 136 lagoons on the Monegros desert area.

datasets

The Randomized Trait Community Clustering method (Triado-Margarit et al., 2019,
<doi:10.1038/s41396-019-0454-4>) is a statistical approach which allows to determine whether
if an observed trait clustering pattern is related to an increasing environmental constrain.
The method 1) determines whether exists or not a trait clustering on the sampled communities
and 2) assess if the observed clustering signal is related or not to an increasing environmental
constrain along an environmental gradient. Also, when the effect of the environmental gradient
is not linear, allows to determine consistent thresholds on the community assembly based on trait-values.

Mateu Menendez-Serra

RTCC

Detecting Trait Clustering in Environmental Gradients

metadata function

A data frame with 136 rows and 2 variables:<dl class="dl-horizontal">
 <dt>sample_ID</dt><dd>Sample internal code</dd>
 <dt>salinity</dt><dd>Sample salinity value</dd>
</dl>

Format

Salinity values of saline lagoons. — metadata

A data frame with 136 rows and 2 variables:<dl class='dl-horizontal'>
 <dt>sample_ID</dt><dd>Sample internal code</dd>
 <dt>salinity</dt><dd>Sample salinity value</dd>
</dl>

metadata: Salinity values of saline lagoons.

Description

Usage

Arguments

Format