Bayesian Linear Regression Metrics Summary for Salmonid Stable Isotope Analysis

Glenn T. Schumacher published a dataset on figshare on 2026-05-15 summarizing Bayesian hierarchical linear regression metrics from a stable isotope analysis study. The 5.5 KB XLS file contains results from an analysis of ontogenetic niche shifts in Arctic Charr and Brook Trout populations in four lakes in Maine, USA. The study used eye lens stable isotope analysis to investigate trophic position changes through life.

Use Cases

• Comparing ontogenetic trophic shifts between Arctic Charr and Brook Trout based on stable isotope data.
• Assessing population-level variation in lifetime δ¹⁵N slope estimates using Bayesian regression outputs.
• Investigating the relationship between habitat type and fish assemblage on ontogenetic patterns in salmonids.
• Supporting climate vulnerability assessments for specific fish life stages and populations.

Strengths

• Dataset is small at 5.5 KB, facilitating quick download and inspection.
• Analysis is based on a specific application of eye lens stable isotope analysis to freshwater salmonids, a novel approach mentioned in the description.
• Results include posterior mean slope estimates for δ¹⁵N, providing quantitative metrics for comparison.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset's scope is limited to four lakes in Maine, USA.

Provenance

Source

figshare

Collection Method

Eye lens stable isotope analysis and Bayesian hierarchical linear regression applied to fish samples.

Freshness

Last updated 2026-05-15 17:34:08; freshness should be verified.

Geography

Four lakes in Maine, USA, at the southern extent of the Arctic Charr range.