Seabird Range Contraction and Dispersal Under Climate Change

Five model replicates per species provide data for 18 seabird species with over 50 occurrence records each. The dataset contains species distribution model outputs, morphological traits from AVONET, and sea surface temperature data to support the research article. Author Jorge Avaria-Llautureo published the data on Figshare in April 2026.

Use Cases

• Analyze projected changes in area of occupancy (aoo.rcp26, aoo.rcp85) for seabird species under different climate scenarios.
• Model relationships between morphological traits (Mass.g, Wing.Length, Hand.Wing.Index) and estimated range shifts (centshift_rcp85).
• Correlate mean annual sea surface temperature (MA.SST) with present-day species distributions using random geographic coordinates (Long, Lat).
• Validate species distribution model performance using the AUC metric across five stochastic replicates per species.
• Estimate historical biogeography by linking palaeotemperature data to palaeo-coordinates (Palae.Long, Palaeo.Lat).

Strengths

• Includes five stochastic replicates per species to account for model uncertainty.
• Integrates multiple data types: SDM outputs, morphological traits, and environmental variables.
• Covers two future climate scenarios (RCP 2.6 and RCP 8.5) for comparative analysis.

Limitations

• Sample size is limited to 18 seabird species meeting a 50-occurrence threshold.
• Spatial coverage is restricted to species with BirdLife International polygon data.
• Future projections rely on specific climate models and emission scenarios.

Provenance

Source

Figshare repository supporting a peer-reviewed research article.

Collection Method

Species distribution modeling using occurrence data, combined with morphological data from AVONET and environmental layers.

Time Range

Present-day and future projections under RCP 2.6 and RCP 8.5 scenarios.

Freshness

Data reflects research current as of April 2026.

Geography

Global, focused on seabird distributions as defined by BirdLife International polygons.