The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project
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...
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| Otros Autores: | , , , , , , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
| Materias: | |
| Acceso en línea: | http://ri.agro.uba.ar/files/download/articulo//2017hudson.pdf LINK AL EDITOR |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
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| 008 | 180723t2017 xxk|||||o|||| 00| | eng d | ||
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| 022 | |a 2045-7758 | ||
| 024 | |a 10.1002/ece3.2579 | ||
| 040 | |a AR-BaUFA | ||
| 245 | 1 | 0 | |a The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project |
| 520 | |a 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. | ||
| 653 | |a DATA SHARING | ||
| 653 | |a GLOBAL BIODIVERSITY MODELING | ||
| 653 | |a GLOBAL CHANGE | ||
| 653 | |a HABITAT DESTRUCTION | ||
| 653 | |a LAND USE | ||
| 700 | 1 | |9 67528 |a Hudson, Lawrence N. |u Natural History Museum. Department of Life Sciences. London, UK. | |
| 700 | 1 | |9 67529 |a Newbold, Tim |u United Nations Environment Programme World Conservation Monitoring Centre. Cambridge, UK. |u University College London. Centre for Biodiversity and Environment. Department of Genetics, Evolution and Environment. London, UK. | |
| 700 | 1 | |9 67530 |a Contu, Sara |u Natural History Museum. Department of Life Sciences. London, UK. | |
| 700 | 1 | |9 67531 |a Hill, Samantha L. L. |u Natural History Museum. Department of Life Sciences. London, UK. |u United Nations Environment Programme World Conservation Monitoring Centre. Cambridge, UK. | |
| 700 | 1 | |9 67532 |a Lysenko, Igor |u Imperial College London. Department of Life Sciences. Ascot, UK. | |
| 700 | 1 | |9 67533 |a Palma, Adriana de |u Natural History Museum. Department of Life Sciences. London, UK. |u Imperial College London. Department of Life Sciences. Ascot, UK. | |
| 700 | 1 | |9 9496 |a Poggio, Santiago Luis |u Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Buenos Aires, Argentina. |u CONICET – Universidad de Buenos Aires. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Buenos Aires, Argentina. | |
| 700 | 1 | |9 67535 |a Cerezo, Alexis |u Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información. Buenos Aires, Argentina. | |
| 773 | 0 | |t Ecology and Evolution |g Vol.7, no.1 (2017), p.145-188, mapas, tbls., grafs. | |
| 856 | |f 2017hudson |i en internet |q application/pdf |u http://ri.agro.uba.ar/files/download/articulo//2017hudson.pdf |x ARTI201808 | ||
| 856 | |z LINK AL EDITOR |u http://www.wiley.com | ||
| 942 | |c ARTICULO | ||
| 942 | |c ENLINEA | ||
| 976 | |a AAG | ||