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The PREDICTS database: a global database of how local terrestrial biodiversity responds to human impacts.

The PREDICTS database: a global database of how local terrestrial biodiversity responds to human impacts.
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 - http://www.predicts.org.uk). We make site-level summary data available alongside this article. The full database will be publicly available in 2015.
- University of Kent United Kingdom
- University of Milan Italy
- Frankfurt Zoological Society Germany
- University of Cambridge United Kingdom
- Western Kentucky University United States
Community ecology (excl. invasive species ecology), VDP::Mathematics and natural science: 400::Zoology and botany: 480::Ecology: 488, Reptilia, Data sharing; Global change; Habitat destruction; Land use; Ecology, Evolution, Behavior and Systematics; Ecology; Nature and Landscape Conservation, data sharing, 590, Settore BIO/05 - Zoologia, Evolutionary biology, Biológiai tudományok, NORTHEASTERN COSTA-RICA, BIRD SPECIES RICHNESS, Amphibia, VDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480::Økologi: 488, MEXICAN COFFEE PLANTATIONS, Habitat destruction, Természettudományok, Global change, QH540-549.5, SDG 15 - Life on Land, agriculture, Original Research, QH0075, Ecology, name=SDG 15 - Life on Land, /dk/atira/pure/sustainabledevelopmentgoals/life_on_land; name=SDG 15 - Life on Land, LAND-USE CHANGE, Coleoptera, Lepidoptera, Chemistry, climate change, Mammalia, ddc:570, Zoology not elsewhere classified, Aves, BOMBUS SPP. HYMENOPTERA, 570, :Mathematics and natural science: 400::Zoology and botany: 480::Ecology: 488 [VDP], 330, Data sharing; global change; habitat destruction; land use, INTENSIVELY MANAGED FARMLAND, /dk/atira/pure/sustainabledevelopmentgoals/life_on_land, 333, Ecology and Environment, Magnoliophyta, BUMBLEBEE NEST DENSITY, :Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480::Økologi: 488 [VDP], Ecological impacts of climate change and ecological adaptation, Biology, DUNG BEETLE COLEOPTERA, global change, QL, QH, PLANT COMMUNITY COMPOSITION, Biology and Life Sciences, land use, food security, Hymenoptera, Environmental sciences, URBAN-RURAL GRADIENT, Land use, Data sharing, Gymnospermae, habitat destruction, ddc: ddc:570
Community ecology (excl. invasive species ecology), VDP::Mathematics and natural science: 400::Zoology and botany: 480::Ecology: 488, Reptilia, Data sharing; Global change; Habitat destruction; Land use; Ecology, Evolution, Behavior and Systematics; Ecology; Nature and Landscape Conservation, data sharing, 590, Settore BIO/05 - Zoologia, Evolutionary biology, Biológiai tudományok, NORTHEASTERN COSTA-RICA, BIRD SPECIES RICHNESS, Amphibia, VDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480::Økologi: 488, MEXICAN COFFEE PLANTATIONS, Habitat destruction, Természettudományok, Global change, QH540-549.5, SDG 15 - Life on Land, agriculture, Original Research, QH0075, Ecology, name=SDG 15 - Life on Land, /dk/atira/pure/sustainabledevelopmentgoals/life_on_land; name=SDG 15 - Life on Land, LAND-USE CHANGE, Coleoptera, Lepidoptera, Chemistry, climate change, Mammalia, ddc:570, Zoology not elsewhere classified, Aves, BOMBUS SPP. HYMENOPTERA, 570, :Mathematics and natural science: 400::Zoology and botany: 480::Ecology: 488 [VDP], 330, Data sharing; global change; habitat destruction; land use, INTENSIVELY MANAGED FARMLAND, /dk/atira/pure/sustainabledevelopmentgoals/life_on_land, 333, Ecology and Environment, Magnoliophyta, BUMBLEBEE NEST DENSITY, :Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480::Økologi: 488 [VDP], Ecological impacts of climate change and ecological adaptation, Biology, DUNG BEETLE COLEOPTERA, global change, QL, QH, PLANT COMMUNITY COMPOSITION, Biology and Life Sciences, land use, food security, Hymenoptera, Environmental sciences, URBAN-RURAL GRADIENT, Land use, Data sharing, Gymnospermae, habitat destruction, ddc: ddc:570
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citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).177 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
