PREDICTS: Projecting Responses of Ecological Diversity in Changing Terrestrial Systems

<p>The PREDICTS project (<a href="http://www.predicts.org.uk/">www.predicts.org.uk</a>) is a three-year NERC-funded project to model and predict at a global scale how local terrestrial diversity responds to human pressures such as land use, land cover, pollution, invasive...

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Main Authors: Georgina Mace, Jorn P. W. Scharlemann, Drew W. Purves, Lawrence Hudson, Tim Newbold, Andy Purvis
Format: Article
Language:English
Published: International Biogeography Society 2012-12-01
Series:Frontiers of Biogeography
Online Access:http://escholarship.org/uc/item/3pm6c22d
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spelling doaj-5901b14fba854a37a1a1820d8d39d37c2020-11-24T22:17:02ZengInternational Biogeography SocietyFrontiers of Biogeography1948-65962012-12-0144PREDICTS: Projecting Responses of Ecological Diversity in Changing Terrestrial SystemsGeorgina MaceJorn P. W. ScharlemannDrew W. PurvesLawrence HudsonTim NewboldAndy Purvis<p>The PREDICTS project (<a href="http://www.predicts.org.uk/">www.predicts.org.uk</a>) is a three-year NERC-funded project to model and predict at a global scale how local terrestrial diversity responds to human pressures such as land use, land cover, pollution, invasive species and infrastructure. PREDICTS is a collaboration between Imperial College London, the UNEP World Conservation Monitoring Centre, Microsoft Research Cambridge, UCL and the University of Sussex. In order to meet its aims, the project relies on extensive data describing the diversity and composition of biological communities at a local scale. Such data are collected on a vast scale through the committed efforts of field ecologists. If you have appropriate data that you would be willing to share with us, please get in touch (<a href="mailto:enquiries@predicts.org.uk">enquiries@predicts.org.uk</a>). All contributions will be acknowledged appropriately and all data contributors will be included as co-authors on an open-access paper describing the database.</p>http://escholarship.org/uc/item/3pm6c22d
collection DOAJ
language English
format Article
sources DOAJ
author Georgina Mace
Jorn P. W. Scharlemann
Drew W. Purves
Lawrence Hudson
Tim Newbold
Andy Purvis
spellingShingle Georgina Mace
Jorn P. W. Scharlemann
Drew W. Purves
Lawrence Hudson
Tim Newbold
Andy Purvis
PREDICTS: Projecting Responses of Ecological Diversity in Changing Terrestrial Systems
Frontiers of Biogeography
author_facet Georgina Mace
Jorn P. W. Scharlemann
Drew W. Purves
Lawrence Hudson
Tim Newbold
Andy Purvis
author_sort Georgina Mace
title PREDICTS: Projecting Responses of Ecological Diversity in Changing Terrestrial Systems
title_short PREDICTS: Projecting Responses of Ecological Diversity in Changing Terrestrial Systems
title_full PREDICTS: Projecting Responses of Ecological Diversity in Changing Terrestrial Systems
title_fullStr PREDICTS: Projecting Responses of Ecological Diversity in Changing Terrestrial Systems
title_full_unstemmed PREDICTS: Projecting Responses of Ecological Diversity in Changing Terrestrial Systems
title_sort predicts: projecting responses of ecological diversity in changing terrestrial systems
publisher International Biogeography Society
series Frontiers of Biogeography
issn 1948-6596
publishDate 2012-12-01
description <p>The PREDICTS project (<a href="http://www.predicts.org.uk/">www.predicts.org.uk</a>) is a three-year NERC-funded project to model and predict at a global scale how local terrestrial diversity responds to human pressures such as land use, land cover, pollution, invasive species and infrastructure. PREDICTS is a collaboration between Imperial College London, the UNEP World Conservation Monitoring Centre, Microsoft Research Cambridge, UCL and the University of Sussex. In order to meet its aims, the project relies on extensive data describing the diversity and composition of biological communities at a local scale. Such data are collected on a vast scale through the committed efforts of field ecologists. If you have appropriate data that you would be willing to share with us, please get in touch (<a href="mailto:enquiries@predicts.org.uk">enquiries@predicts.org.uk</a>). All contributions will be acknowledged appropriately and all data contributors will be included as co-authors on an open-access paper describing the database.</p>
url http://escholarship.org/uc/item/3pm6c22d
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