Global Bird Nest Traits Database for Macroecological Research

9,248 to 9,302 bird species have their nests systematically classified by site, structure, and attachment, representing all 36 avian orders. This dataset fills a gap in structured nest trait data, compiled from text descriptions, photos, and videos in online databases and literature. It enables analysis of nest trait evolution and adaptation across phylogenetic and geographic dimensions.

Use Cases

• [Analyzing phylogenetic patterns of nest architecture] based on [systematic classification of nest site, structure, and attachment types]
• [Mapping geographic distributions of nest traits] based on [species-level data across all avian families]
• [Studying correlations between nest characteristics and reproductive success] based on [three ecologically significant nest traits]
• [Modeling avian adaptation and evolution] based on [trait data integrated with existing morphological and ecological datasets]

Strengths

• High taxonomic coverage, including all 36 bird orders and 241 out of 244 families.
• Systematic classification of nests using multiple information sources: text, photos, and videos.
• Defines a standardized trait framework with seven nest sites, seven structures, and four attachment types.

Limitations

• Conflict in reported species count: sources list 9,248 and 9,302 species.
• Key metadata such as column names, file formats, and last update date are unknown.
• Dataset completeness is unclear; it covers 241 of 244 families, leaving a small gap.

Provenance

Source

Stephanie Chia, University of Maryland, College Park

Collection Method

Compiled from information in text descriptions, photos, and videos sourced from online databases and literature.

Geography

Global