Artigo

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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Autor principal: Barlow, Bernard Josiah
Grau: Artigo
Idioma: eng
Publicado em: Museu Paraense Emilio Goeldi 2018
Assuntos:
Acesso em linha: http://repositorio.museu-goeldi.br/handle/mgoeldi/1250
id ir-mgoeldi-1250
recordtype dspace
spelling ir-mgoeldi-12502019-07-17T18:06:43Z The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project O banco de dados do projeto PREDICTS (Projeção de Respostas da Diversidade Ecológica em Mudança de Sistemas Terrestres) Barlow, Bernard Josiah data sharing global biodiversity modeling global change habitat destruction land use CNPQ::CIENCIAS BIOLOGICAS::ECOLOGIA 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. O projeto PREDICTS - Projetando Respostas da Diversidade Ecológica na Mudança dos Sistemas Terrestres (www.predicts.org.uk) - compilou de estudos publicados um banco de dados grande e razoavelmente representativo de amostras comparáveis de biodiversidade de múltiplos locais que diferem na natureza ou intensidade de impactos humanos relacionados ao uso da terra. Usamos essa base de evidências para desenvolver modelos estatísticos globais e regionais sobre como a biodiversidade local responde a essas medidas. Descrevemos e disponibilizamos gratuitamente esta versão de 2016 do banco de dados, contendo mais de 3,2 milhões de registros coletados em mais de 26.000 locais e representando mais de 47.000 espécies. Descrevemos como o banco de dados pode ajudar a responder a uma série de questões em ecologia e biologia da conservação. Para nosso conhecimento, este é o maior e mais geograficamente e taxonomicamente representativo banco de dados de comparações espaciais da biodiversidade que foi coligida até à data; será útil para pesquisadores e esforços internacionais que desejam modelar e entender o status global da biodiversidade. 2018-07-06T13:17:33Z 2018-06-26 2018-07-06T13:17:33Z 2016-09-22 Artigo de Periódico http://repositorio.museu-goeldi.br/handle/mgoeldi/1250 eng Ecology and Evolution Acesso Aberto application/pdf Museu Paraense Emilio Goeldi Brasil MPEG
institution Repositório Institucional - Museu Paraense Emílio Goeldi
collection RepositorioEmilioGoeldi
language eng
topic data sharing
global biodiversity modeling
global change
habitat destruction
land use
CNPQ::CIENCIAS BIOLOGICAS::ECOLOGIA
spellingShingle data sharing
global biodiversity modeling
global change
habitat destruction
land use
CNPQ::CIENCIAS BIOLOGICAS::ECOLOGIA
Barlow, Bernard Josiah
The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project
topic_facet data sharing
global biodiversity modeling
global change
habitat destruction
land use
CNPQ::CIENCIAS BIOLOGICAS::ECOLOGIA
description 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.
format Artigo
author Barlow, Bernard Josiah
title The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project
title_short The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project
title_full The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project
title_fullStr The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project
title_full_unstemmed The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project
title_sort database of the predicts (projecting responses of ecological diversity in changing terrestrial systems) project
publisher Museu Paraense Emilio Goeldi
publishDate 2018
url http://repositorio.museu-goeldi.br/handle/mgoeldi/1250
_version_ 1787135719517454336
score 11.755432