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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/14113
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Title: | The PREDICTS database: a global database of how local terrestrial biodiversity responds to human impacts |
Authors: | Hudson, L. N. Newbold, T. Contu, S Hill, SLL Brito, I |
Keywords: | Data sharing Global change Habitat destruction Land use |
Issue Date: | 2014 |
Publisher: | http://onlinelibrarystatic.wiley.com/images/wolSiteLogo.png |
Citation: | Hudson,LN, Newbold, T, Contu, S, Hill SLL, et al. (2014) The PREDICTS database: a global database of how local terrestrial biodiversity responds to human impacts. Ecology and Evolution 4, 4701–4735. |
Abstract: | 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% of the total number of all species described, and more than
1% 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. |
URI: | http://hdl.handle.net/10174/14113 |
ISSN: | 2045-7758 |
Type: | article |
Appears in Collections: | BIO - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica MED - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
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