A global database of bird nest traits.
Sci Data
; 10(1): 923, 2023 Dec 21.
Article
en En
| MEDLINE
| ID: mdl-38129417
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.
Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
Aves
/
Comportamiento de Nidificación
Límite:
Animals
Idioma:
En
Revista:
Sci Data
/
Scientific data
Año:
2023
Tipo del documento:
Article
País de afiliación:
Taiwán