Sea lion behavioural diversity and environmental heterogeneity: Colony-level metrics (15 colonies, 2000–2023) with GLMM code

This dataset provides colony-level behavioural and environmental metrics
for five sea lion species across 15 colonies worldwide (2000–2023). For
each colony, we summarise population-level behavioural diversity
(interquartile range of time-at-depth, IQR_TAD; foraging strategy
diversity expressed as the percentage of trips following the most common
strategy, strategy_perc) and individual-level specialization/flexibility
(repeatability of time-at-depth, R_TAD; Shannon diversity of strategies,
SDI). Environmental heterogeneity is represented by spatial complexity
(bathymetric_roughness) and by primary productivity and its variability
(chlorophyl_concentration, chlorophyl_variability). The dataset enables
tests of how spatial and temporal heterogeneity relate to behavioural
diversity within and among colonies. Intended uses include reproducing the
generalized linear mixed models (GLMMs) provided here, sensitivity
analyses with/without an identified high-productivity outlier colony
(“Lobos”), and comparative or meta-analytic work on habitat heterogeneity
and intra-specific behavioural variation. Data are aggregated at the
colony level (15 rows; one per colony); no individual identifiers or
sensitive location data are included. The accompanying R script (glmmTMB)
fits the models used to assess links between behavioural metrics and
environmental covariates. These materials support transparent reanalysis,
extension (e.g., alternative link functions, priors, or covariate
scaling), and integration with other taxa. Ethical approvals and
permitting for the underlying biologging come from the original studies;
this package contains only derived, aggregated summaries.