The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project
Identificadores
Enlace permanente (URI): http://hdl.handle.net/10017/38495DOI: 10.1002/ece3.2579
ISSN: 2045-7758
Fecha de publicación
2017Patrocinadores
U.K. Natural Environment Research Council
United Nations Environment Program World Conservation Monitoring Centre
Departamento Administrativo de Ciencia, Tecnología e Innovación de Colombia
Cita bibliográfica
Ecology and Evolution, 2017, v. 7, n. 1, p. 145-188
Palabras clave
Data sharing
Global biodiversity modeling
Global change
Habitat destruction
Land use
Proyectos
NE/J011193/2 y NE/L002515/1 (U.K. Natural Environment Research
Council)
BB/F017324/1 (United Nations Environment Program)
PhD Scholarship (COLCIENCIAS)
Tipo de documento
info:eu-repo/semantics/article
Versión
info:eu-repo/semantics/publishedVersion
Derechos
Attribution 4.0 International (CC BY 4.0)
© 2016 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.
Derechos de acceso
info:eu-repo/semantics/openAccess
Resumen
The PREDICTS project-Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (www.predicts.org.uk)-has collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. We describe and make freely available this 2016 release of the database, containing more than 3.2 million records sampled at over 26,000 locations and representing over 47,000 species. We outline how the database can help in answering a range of questions in ecology and conservation biology. To our knowledge, this is the largest and most geographically and taxonomically representative database of spatial comparisons of biodiversity that has been collated to date; it will be useful to researchers and international efforts wishing to model and understand the global status of biodiversity.
Ficheros en el ítem
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database_hudson_EAE_2017.pdf | 1.725Mb |
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database_hudson_EAE_2017.pdf | 1.725Mb |
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Colecciones
- ECOLOGÍA - Artículos [240]