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Hudson, Lawrence N.; Newbold, Tim; Contu, Sara; Hill, Samantha L.L.; Lysenko, Igor; de Palma, Adriana; Phillips, Helen R.P.; Alhusseini, Tamera I.; Bedford, Felicity E.; Bennett, Dominic J.; Booth, Hollie; Burton, Victoria J.; Chng, Charlotte W.T.; Choimes, Argyrios; Correia, David L.P.; Day, Julie; Echeverria-Londono, Susy; Emerson, Susan R.; Gao, Di; Garon, Morgan; Harrison, Michelle L.K.; Ingram, Daniel J.; Jung, Martin; Kemp, Victoria; Kirkpatrick, Lucinda; Martin, Callum D.; Pan, Yuan; Pask-Hale, Gwilym D.; Pynegar, Edwin L.; Robinson, Alexandra N. ... view all 136 authors View less authors (2017)
Publisher: Wiley
Journal: Ecology and Evolution
Languages: English
Types: Article
Subjects: habitat, Settore BIO/07 - Ecologia, Ingénierie de l'environnement, L60 - Taxonomie et géographie animales, CARABID BEETLE ASSEMBLAGES, Biodiversitat -- Bases de dades, Ekologi, QH, INTENSIVELY MANAGED FARMLAND, C30 - Documentation et information, Biodiversité et Ecologie, Biology, Biology and Life Sciences, DIPTEROCARP FOREST, Settore BIO/05 - Zoologia, Biodiversity and Ecology, Global change, Ecological heterogeneity -- Databases, Original Research, Data sharing, PLANT COMMUNITY COMPOSITION, Geovetenskap och miljövetenskap, FRUIT-FEEDING BUTTERFLIES, LAND-USE CHANGE, Global biodiversity modeling, P01 - Conservation de la nature et ressources foncières, Biological diversity -- Databases, Data and Information, Ecology, Land use, Milieux et Changements globaux, MEXICAN COFFEE PLANTATIONS, Ecology and Environment, GE, destruction, Chemistry, /dk/atira/pure/researchoutput/pubmedpublicationtype/D016428, URBAN-RURAL GRADIENT, U10 - Méthodes mathématiques et statistiques, Earth and Environmental Sciences, Environnement et Société, data sharing; global biodiversity modeling; global change; habitat destruction; land use; ecology, evolution, behavior and systematics; ecology; nature and landscape conservation, Earth and Related Environmental Sciences, data sharing;global biodiversity modeling;global change;habitat destruction;land use, F40 - Ecologie végétale, BIRD SPECIES RICHNESS, LOWLAND, F70 - Taxonomie végétale et phyto-géographie, Habitat destruction, Journal Article, Heterogeneïtat ecològica -- Bases de dades, 1172 Environmental sciences, TROPICAL DRY FOREST
Abstract: The PREDICTS projectProjecting 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. Abstract: 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.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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    Title Trust
    58
    58%
    70
    70%
    42
    42%
    60
    60%
    67
    67%
    58
    58%
    60
    60%
    43
    43%
    58
    58%
    66
    66%
    56
    56%
    56
    56%
    58
    58%
    64
    64%
    56
    56%
    73
    73%
    73
    73%
    73
    73%
    73
    73%
    73
    73%
    73
    73%
    73
    73%
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