ArticleScientific data2023
A global database of bird nest traits.
Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Temperature mediates variation in avian sensitivity to forest cover.Nature ecology & evolution · 2026Article
- Beak height and nest structure shape avian bite force.Zoological research · 2026Article
- A wide range of abiotic and biotic variables leaves most variation in bird nest architecture unexplained.Proceedings. Biological sciences · 2025Article
- BIRDBASE: A Global Dataset of Avian Biogeography, Conservation, Ecology and Life History Traits.Scientific data · 2025Article
- Egg mass drives the evolution of bird nest architecture.Proceedings. Biological sciences · 2025Article
- Life history and nesting traits reflect urban tolerance in coastal birds.Royal Society open science · 2025Article
- A global database of bird nest traits.Scientific data · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
The reproductive success of birds is closely tied to the characteristics of their nests. It is crucial to understand the distribution of nest traits across phylogenetic and geographic dimensions to gain insight into bird evolution and adaptation. Despite the extensive historical documentation on breeding behavior, a structured dataset describing bird nest characteristics has been lacking. To address this gap, we have compiled a comprehensive dataset that characterizes three ecologically and evolutionarily significant nest traits-site, structure, and attachment-for 9,248 bird species, representing all 36 orders and 241 out of the 244 families. By defining seven sites, seven structures, and four attachment types, we have systematically classified the nests of each species using information from text descriptions, photos, and videos sourced from online databases and literature. This nest traits dataset serves as a valuable addition to the existing body of morphological and ecological trait data for bird species, providing a useful resource for a wide range of avian macroecological and macroevolutionary research.
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Registered trials
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