AmphiBIO, a global database for amphibian ecological traits.

Autor: Oliveira BF; Departamento de Ecologia, Universidade Federal do Rio Grande do Norte, Lagoa Nova, Natal, RN 59072-970, Brazil.; Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL 32611-0430, USA., São-Pedro VA; Departamento de Ecologia, Universidade Federal do Rio Grande do Norte, Lagoa Nova, Natal, RN 59072-970, Brazil., Santos-Barrera G; Departamento de Biología Evolutiva, Facultad de Ciencias, Universidad Nacional Autónoma de México, Circuito Exterior S/N, Ciudad Universitaria 04510, México., Penone C; Departamento de Ecologia, Universidade Federal do Rio Grande do Norte, Lagoa Nova, Natal, RN 59072-970, Brazil., Costa GC; Department of Biology, Auburn University at Montgomery, Montgomery, AL 36117, USA.
Jazyk: angličtina
Zdroj: Scientific data [Sci Data] 2017 Sep 05; Vol. 4, pp. 170123. Date of Electronic Publication: 2017 Sep 05.
DOI: 10.1038/sdata.2017.123
Abstrakt: Current ecological and evolutionary research are increasingly moving from species- to trait-based approaches because traits provide a stronger link to organism's function and fitness. Trait databases covering a large number of species are becoming available, but such data remains scarce for certain groups. Amphibians are among the most diverse vertebrate groups on Earth, and constitute an abundant component of major terrestrial and freshwater ecosystems. They are also facing rapid population declines worldwide, which is likely to affect trait composition in local communities, thereby impacting ecosystem processes and services. In this context, we introduce AmphiBIO, a comprehensive database of natural history traits for amphibians worldwide. The database releases information on 17 traits related to ecology, morphology and reproduction features of amphibians. We compiled data from more than 1,500 literature sources, and for more than 6,500 species of all orders (Anura, Caudata and Gymnophiona), 61 families and 531 genera. This database has the potential to allow unprecedented large-scale analyses in ecology, evolution, and conservation of amphibians.
Databáze: MEDLINE