Butterfly Occurrence Data for Phenological Reanalysis of 22 Univoltine Species

A reanalysis of occurrence data for 22 univoltine butterfly species, derived from a larger set of 100 species, conducted by Elise A. Larsen of Georgetown University. The dataset underpins a critique of prior phenological analyses, highlighting substantive differences in macroscale patterns. The original study by Fric et al. was published in 2020.

Use Cases

• Reassessing macroscale phenological patterns based on occurrence data
• Critiquing methodological flaws in prior ecological analyses using large occurrence datasets
• Modeling phenology for temperate, univoltine butterfly species
• Evaluating data sufficiency for broad-scale ecological studies

Strengths

• Focuses on 22 species identified as having sufficient data for analysis
• Provides a substantive reanalysis of a 2020 study, offering a methodological critique

Limitations

• Row count and dataset size are unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Description metadata is limited; actual data quality requires manual inspection

Provenance

Source

Georgetown University

Collection Method

Reanalysis of existing occurrence datasets