The PREDICTS database : A global database of how local terrestrial biodiversity responds to human impacts

Autores
Hudson, Lawrence N.; Newbold, Tim; Contu, Sara; Hill, Samantha L. L.; Lysenko, Igor; Palma, Adriana de; Phillips, Helen R. P.; Senior, Rebecca A.; Bennett, Dominic J.; Booth, Hollie; Choimes, Argyrios; Correia, David L. P.; Day, Julie; Cerezo, Alexis
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Fil: Cerezo, Alexis. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información. Buenos Aires, Argentina.
Biodiversity continues to decline in the face of increasing anthropogenic pressures such as habitat destruction, exploitation, pollution and introduction of alien species. Existing global databases of species' threat status or population time series are dominated by charismatic species. The collation of datasets with broad taxonomic and biogeographic extents, and that support computation of a range of biodiversity indicators, is necessary to enable better understanding of historical declines and to project - and avert - future declines. We describe and assess a new database of more than 1.6 million samples from 78 countries representing over 28,000 species, collated from existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world. The database contains measurements taken in 208 (of 814) ecoregions, 13 (of 14) biomes, 25 (of 35) biodiversity hotspots and 16 (of 17) megadiverse countries. The database contains more than 1 percent of the total number of all species described, and more than 1 percent of the described species within many taxonomic groups - including flowering plants, gymnosperms, birds, mammals, reptiles, amphibians, beetles, lepidopterans and hymenopterans. The dataset, which is still being added to, is therefore already considerably larger and more representative than those used by previous quantitative models of biodiversity trends and responses. The database is being assembled as part of the PREDICTS project (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems - www.predicts.org.uk). We make site-level summary data available alongside this article. The full database will be publicly available in 2015. The collation of biodiversity datasets with broad taxonomic and biogeographic extents is necessary to understand historical declines and to project - and hopefully avert - future declines. We describe a newly collated database of more than 1.6 million biodiversity measurements from 78 countries representing over 28,000 species, collated from existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world.
Fuente
Ecology and Evolution
Vol.4, no.24
4701-4735
http://www.wiley.com/WileyCDA/
Materia
AMPHIBIA
AVES
COLEOPTERA
DATA SHARING
GLOBAL CHANGE
GYMNOSPERMAE
HABITAT DESTRUCTION
HYMENOPTERA
LAND USE
LEPIDOPTERA
MAGNOLIOPHYTA
MAMMALIA
REPTILIA
Nivel de accesibilidad
acceso abierto
Condiciones de uso
acceso abierto
Repositorio
FAUBA Digital (UBA-FAUBA)
Institución
Universidad de Buenos Aires. Facultad de Agronomía
OAI Identificador
snrd:2014lawrence

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oai_identifier_str snrd:2014lawrence
network_acronym_str FAUBA
repository_id_str 2729
network_name_str FAUBA Digital (UBA-FAUBA)
spelling The PREDICTS database : A global database of how local terrestrial biodiversity responds to human impactsHudson, Lawrence N.Newbold, TimContu, SaraHill, Samantha L. L.Lysenko, IgorPalma, Adriana dePhillips, Helen R. P.Senior, Rebecca A.Bennett, Dominic J.Booth, HollieChoimes, ArgyriosCorreia, David L. P.Day, JulieCerezo, AlexisAMPHIBIAAVESCOLEOPTERADATA SHARINGGLOBAL CHANGEGYMNOSPERMAEHABITAT DESTRUCTIONHYMENOPTERALAND USELEPIDOPTERAMAGNOLIOPHYTAMAMMALIAREPTILIAFil: Cerezo, Alexis. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información. Buenos Aires, Argentina.Biodiversity continues to decline in the face of increasing anthropogenic pressures such as habitat destruction, exploitation, pollution and introduction of alien species. Existing global databases of species' threat status or population time series are dominated by charismatic species. The collation of datasets with broad taxonomic and biogeographic extents, and that support computation of a range of biodiversity indicators, is necessary to enable better understanding of historical declines and to project - and avert - future declines. We describe and assess a new database of more than 1.6 million samples from 78 countries representing over 28,000 species, collated from existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world. The database contains measurements taken in 208 (of 814) ecoregions, 13 (of 14) biomes, 25 (of 35) biodiversity hotspots and 16 (of 17) megadiverse countries. The database contains more than 1 percent of the total number of all species described, and more than 1 percent of the described species within many taxonomic groups - including flowering plants, gymnosperms, birds, mammals, reptiles, amphibians, beetles, lepidopterans and hymenopterans. The dataset, which is still being added to, is therefore already considerably larger and more representative than those used by previous quantitative models of biodiversity trends and responses. The database is being assembled as part of the PREDICTS project (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems - www.predicts.org.uk). We make site-level summary data available alongside this article. The full database will be publicly available in 2015. The collation of biodiversity datasets with broad taxonomic and biogeographic extents is necessary to understand historical declines and to project - and hopefully avert - future declines. We describe a newly collated database of more than 1.6 million biodiversity measurements from 78 countries representing over 28,000 species, collated from existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world.2014info:eu-repo/semantics/articlepublishedVersioninfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfdoi:10.1002/ece3.1303issn:2045-7758http://ri.agro.uba.ar/greenstone3/library/collection/arti/document/2014lawrenceEcology and EvolutionVol.4, no.244701-4735http://www.wiley.com/WileyCDA/reponame:FAUBA Digital (UBA-FAUBA)instname:Universidad de Buenos Aires. Facultad de Agronomíaenginfo:eu-repo/semantics/openAccessopenAccesshttp://ri.agro.uba.ar/greenstone3/library/page/biblioteca#section42025-09-29T13:42:06Zsnrd:2014lawrenceinstacron:UBA-FAUBAInstitucionalhttp://ri.agro.uba.ar/Universidad públicaNo correspondehttp://ri.agro.uba.ar/greenstone3/oaiserver?verb=ListSetsmartino@agro.uba.ar;berasa@agro.uba.ar ArgentinaNo correspondeNo correspondeNo correspondeopendoar:27292025-09-29 13:42:06.83FAUBA Digital (UBA-FAUBA) - Universidad de Buenos Aires. Facultad de Agronomíafalse
dc.title.none.fl_str_mv The PREDICTS database : A global database of how local terrestrial biodiversity responds to human impacts
title The PREDICTS database : A global database of how local terrestrial biodiversity responds to human impacts
spellingShingle The PREDICTS database : A global database of how local terrestrial biodiversity responds to human impacts
Hudson, Lawrence N.
AMPHIBIA
AVES
COLEOPTERA
DATA SHARING
GLOBAL CHANGE
GYMNOSPERMAE
HABITAT DESTRUCTION
HYMENOPTERA
LAND USE
LEPIDOPTERA
MAGNOLIOPHYTA
MAMMALIA
REPTILIA
title_short The PREDICTS database : A global database of how local terrestrial biodiversity responds to human impacts
title_full The PREDICTS database : A global database of how local terrestrial biodiversity responds to human impacts
title_fullStr The PREDICTS database : A global database of how local terrestrial biodiversity responds to human impacts
title_full_unstemmed The PREDICTS database : A global database of how local terrestrial biodiversity responds to human impacts
title_sort The PREDICTS database : A global database of how local terrestrial biodiversity responds to human impacts
dc.creator.none.fl_str_mv Hudson, Lawrence N.
Newbold, Tim
Contu, Sara
Hill, Samantha L. L.
Lysenko, Igor
Palma, Adriana de
Phillips, Helen R. P.
Senior, Rebecca A.
Bennett, Dominic J.
Booth, Hollie
Choimes, Argyrios
Correia, David L. P.
Day, Julie
Cerezo, Alexis
author Hudson, Lawrence N.
author_facet Hudson, Lawrence N.
Newbold, Tim
Contu, Sara
Hill, Samantha L. L.
Lysenko, Igor
Palma, Adriana de
Phillips, Helen R. P.
Senior, Rebecca A.
Bennett, Dominic J.
Booth, Hollie
Choimes, Argyrios
Correia, David L. P.
Day, Julie
Cerezo, Alexis
author_role author
author2 Newbold, Tim
Contu, Sara
Hill, Samantha L. L.
Lysenko, Igor
Palma, Adriana de
Phillips, Helen R. P.
Senior, Rebecca A.
Bennett, Dominic J.
Booth, Hollie
Choimes, Argyrios
Correia, David L. P.
Day, Julie
Cerezo, Alexis
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv AMPHIBIA
AVES
COLEOPTERA
DATA SHARING
GLOBAL CHANGE
GYMNOSPERMAE
HABITAT DESTRUCTION
HYMENOPTERA
LAND USE
LEPIDOPTERA
MAGNOLIOPHYTA
MAMMALIA
REPTILIA
topic AMPHIBIA
AVES
COLEOPTERA
DATA SHARING
GLOBAL CHANGE
GYMNOSPERMAE
HABITAT DESTRUCTION
HYMENOPTERA
LAND USE
LEPIDOPTERA
MAGNOLIOPHYTA
MAMMALIA
REPTILIA
dc.description.none.fl_txt_mv Fil: Cerezo, Alexis. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información. Buenos Aires, Argentina.
Biodiversity continues to decline in the face of increasing anthropogenic pressures such as habitat destruction, exploitation, pollution and introduction of alien species. Existing global databases of species' threat status or population time series are dominated by charismatic species. The collation of datasets with broad taxonomic and biogeographic extents, and that support computation of a range of biodiversity indicators, is necessary to enable better understanding of historical declines and to project - and avert - future declines. We describe and assess a new database of more than 1.6 million samples from 78 countries representing over 28,000 species, collated from existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world. The database contains measurements taken in 208 (of 814) ecoregions, 13 (of 14) biomes, 25 (of 35) biodiversity hotspots and 16 (of 17) megadiverse countries. The database contains more than 1 percent of the total number of all species described, and more than 1 percent of the described species within many taxonomic groups - including flowering plants, gymnosperms, birds, mammals, reptiles, amphibians, beetles, lepidopterans and hymenopterans. The dataset, which is still being added to, is therefore already considerably larger and more representative than those used by previous quantitative models of biodiversity trends and responses. The database is being assembled as part of the PREDICTS project (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems - www.predicts.org.uk). We make site-level summary data available alongside this article. The full database will be publicly available in 2015. The collation of biodiversity datasets with broad taxonomic and biogeographic extents is necessary to understand historical declines and to project - and hopefully avert - future declines. We describe a newly collated database of more than 1.6 million biodiversity measurements from 78 countries representing over 28,000 species, collated from existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world.
description Fil: Cerezo, Alexis. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información. Buenos Aires, Argentina.
publishDate 2014
dc.date.none.fl_str_mv 2014
dc.type.none.fl_str_mv info:eu-repo/semantics/article
publishedVersion
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv doi:10.1002/ece3.1303
issn:2045-7758
http://ri.agro.uba.ar/greenstone3/library/collection/arti/document/2014lawrence
identifier_str_mv doi:10.1002/ece3.1303
issn:2045-7758
url http://ri.agro.uba.ar/greenstone3/library/collection/arti/document/2014lawrence
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
openAccess
http://ri.agro.uba.ar/greenstone3/library/page/biblioteca#section4
eu_rights_str_mv openAccess
rights_invalid_str_mv openAccess
http://ri.agro.uba.ar/greenstone3/library/page/biblioteca#section4
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv Ecology and Evolution
Vol.4, no.24
4701-4735
http://www.wiley.com/WileyCDA/
reponame:FAUBA Digital (UBA-FAUBA)
instname:Universidad de Buenos Aires. Facultad de Agronomía
reponame_str FAUBA Digital (UBA-FAUBA)
collection FAUBA Digital (UBA-FAUBA)
instname_str Universidad de Buenos Aires. Facultad de Agronomía
repository.name.fl_str_mv FAUBA Digital (UBA-FAUBA) - Universidad de Buenos Aires. Facultad de Agronomía
repository.mail.fl_str_mv martino@agro.uba.ar;berasa@agro.uba.ar
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score 13.070432