Audit environmental filtering (optima/tolerances vs realised abundances)

Usage

audit_environmental_filtering(res)

A data.frame; one row per gradient-responsive species, with columns:

species: Species label.
gradient: Gradient name (e.g. temperature/elevation/rainfall).
n_sites: Number of sampled quadrats with finite environment + abundance.
occupancy_sites: Number of quadrats with abundance > 0 (a simple sparsity check).
rho: Spearman correlation between abundance and closeness-to-optimum (higher is more consistent with filtering).
slope: Slope from a simple linear model of abundance vs distance-from-optimum (sign is diagnostic only).
qualitative: Teaching-friendly label (e.g. abundance_peaks_near_optimum, weak_or_no_signal, too_sparse_to_assess).