The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project

Lawrence N. Hudson; Tim Newbold; Sara Contu; Samantha L.L.  Hill; Igor Lysenko; Adriana De Palma; Helen R.P. Phillips; Tamera I. Alhusseini; Felicity E. Bedford; Dominic J. Bennett; R.J.F. Bugter

doi:10.1002/ece3.2579

The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project

Lawrence N. Hudson^*, Tim Newbold, Sara Contu, Samantha L.L. Hill, Igor Lysenko, Adriana De Palma, Helen R.P. Phillips, Tamera I. Alhusseini, Felicity E. Bedford, Dominic J. Bennett, R.J.F. Bugter

^*Corresponding author for this work

Biodiversity and Policy

Research output: Contribution to journal › Article › Academic › peer-review

176 Citations (Scopus)

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.

Original language	English
Pages (from-to)	145-188
Journal	Ecology and Evolution
Volume	7
Issue number	1
DOIs	https://doi.org/10.1002/ece3.2579
Publication status	Published - 2017

Keywords

data sharing
global biodiversity modeling
global change
habitat destruction
land use

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1002/ece3.2579Licence: CC BY

The 2016 release of the PREDICTS database
Hudson, L. N. (Creator), Newbold, T. (Creator), Contu, S. (Creator), Hill, S. L. L. (Creator), Lysenko, I. (Creator), De Palma, A. (Creator), Phillips, H. R. P. (Creator), Alhusseini, T. I. (Creator), Bedford, F. E. (Creator), Bennett, D. J. (Creator) & Bugter, R. J. F. (Creator), Natural History Museum, London, 18 Apr 2016
DOI: 10.5519/0066354
Dataset
The 2016 release of the PREDICTS database V1.1
Hudson, L. N. (Creator), Newbold, T. (Creator), Contu, S. (Creator), Hill, S. L. L. (Creator), Lysenko, I. (Creator), De Palma, A. (Creator), Phillips, H. R. P. (Creator), Alhusseini, T. I. (Creator), Bedford, F. E. (Creator), Bennett, D. J. (Creator), Booth, H. (Creator), Burton, V. J. (Creator) & Bugter, R. (Creator), Natural History Museum, London, 29 Nov 2023
DOI: 10.5519/j4sh7e0w
Dataset

Cite this

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title = "The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project",

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.",

keywords = "data sharing, global biodiversity modeling, global change, habitat destruction, land use",

author = "Hudson, {Lawrence N.} and Tim Newbold and Sara Contu and Hill, {Samantha L.L.} and Igor Lysenko and {De Palma}, Adriana and Phillips, {Helen R.P.} and Alhusseini, {Tamera I.} and Bedford, {Felicity E.} and Bennett, {Dominic J.} and R.J.F. Bugter",

year = "2017",

doi = "10.1002/ece3.2579",

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journal = "Ecology and Evolution",

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AU - Hudson, Lawrence N.

AU - Newbold, Tim

AU - Contu, Sara

AU - Hill, Samantha L.L.

AU - Lysenko, Igor

AU - De Palma, Adriana

AU - Phillips, Helen R.P.

AU - Alhusseini, Tamera I.

AU - Bedford, Felicity E.

AU - Bennett, Dominic J.

AU - Bugter, R.J.F.

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - data sharing

KW - global biodiversity modeling

KW - global change

KW - habitat destruction

KW - land use

U2 - 10.1002/ece3.2579

DO - 10.1002/ece3.2579

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SN - 2045-7758

VL - 7

SP - 145

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JO - Ecology and Evolution

JF - Ecology and Evolution

IS - 1

ER -

The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project

Abstract

Keywords

UN SDGs

Access to Document

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Datasets

The 2016 release of the PREDICTS database

The 2016 release of the PREDICTS database V1.1

Cite this