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

Hudson Lawrence N., Newbold Tim, Contu Sara, Hill Samantha L.L., Lysenko Igor, de Palma Adriana, Phillips Helen R.P., Senior Rebecca A., Bennett Dominic J., Booth Hollie, Choimes Argyrios, Correia David L.P., Day Julie, Echeverria-Londono Susy, Garon Morgan, Harrison Michelle L.K., Ingram Daniel J., Jung Martin, Kemp Victoria, Kirkpatrick Lucinda, Martin Callum D., Pan Yuan, White Hannah J., Aben Job, Abrahamczyk Stefan, Adum Gilbert B., Aguilar-Barquero Virginia, Aizen Marcelo A., Ancrenaz Marc, Arbelaez-Cortes Enrique, Armbrecht Inge, Azhar Badrul, Azpiroz Adrian B., Baeten Lander, Baldi Andras, Banks John E., Barlow Jos, Batary Peter, Bates Adam J., Bayne Erin M., Beja Pedro, Berg Ake, Berry Nicholas J., Bicknell Jake E., Bihn Jochen H., Böhning-Gaese Katrin, Boekhout Teun, Boutin Céline, Bouyer Jérémy, et al.. 2014. The PREDICTS database: a global database of how local terrestrial biodiversity responds to human impacts. Ecology and Evolution, 4 (24) : pp. 4701-4735.

Journal article ; Article de revue à facteur d'impact Revue en libre accès total
Published version - Anglais
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Quartile : Q2, Sujet : ECOLOGY

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 - We make site-level summary data available alongside this article. The full database will be publicly available in 2015. (Résumé d'auteur)

Mots-clés Agrovoc : Biodiversité, Plante, Animal, espèce en danger, Banque de données, Méthode statistique, Analyse de données, Tendance, Conservation des ressources, Impact sur l'environnement

Mots-clés géographiques Agrovoc : Monde

Classification Agris : P01 - Nature conservation and land resources
C30 - Documentation and information
F40 - Plant ecology
L20 - Animal ecology

Champ stratégique Cirad : Axe 6 (2014-2018) - Sociétés, natures et territoires

Auteurs et affiliations

  • Hudson Lawrence N., Natural History Museum (GBR)
  • Newbold Tim, UNEP-WCMC (GBR)
  • Contu Sara, Natural History Museum (GBR)
  • Hill Samantha L.L., Natural History Museum (GBR)
  • Lysenko Igor, Imperial College London (GBR)
  • de Palma Adriana, Natural History Museum (GBR)
  • Phillips Helen R.P., Natural History Museum (GBR)
  • Senior Rebecca A., UNEP-WCMC (GBR)
  • Bennett Dominic J., Imperial College London (GBR)
  • Booth Hollie, UNEP-WCMC (GBR)
  • Choimes Argyrios, Natural History Museum (GBR)
  • Correia David L.P., Natural History Museum (GBR)
  • Day Julie, Imperial College London (GBR)
  • Echeverria-Londono Susy, Natural History Museum (GBR)
  • Garon Morgan, Imperial College London (GBR)
  • Harrison Michelle L.K., Imperial College London (GBR)
  • Ingram Daniel J., University of Sussex (GBR)
  • Jung Martin, Natural History Museum (DNK)
  • Kemp Victoria, Imperial College London (GBR)
  • Kirkpatrick Lucinda, University of Stirling (GBR)
  • Martin Callum D., Imperial College London (GBR)
  • Pan Yuan, University of Sheffield (GBR)
  • White Hannah J., Queen's University Belfast (IRL)
  • Aben Job, University of Antwerp (BEL)
  • Abrahamczyk Stefan, University of Bonn (DEU)
  • Adum Gilbert B., FRNR (GHA)
  • Aguilar-Barquero Virginia, UCR (CRI)
  • Aizen Marcelo A., INIBIOMA (ARG)
  • Ancrenaz Marc, HUTAN-Kinabatangan Orang-utan Conservation Programme (MYS)
  • Arbelaez-Cortes Enrique, UNAM (MEX)
  • Armbrecht Inge, Universidad del Valle (COL)
  • Azhar Badrul, Universiti Putra Malaysia (MYS)
  • Azpiroz Adrian B., Instituto de Investigaciones Biologicas Clemente Estable (URY)
  • Baeten Lander, University of Ghent (BEL)
  • Baldi Andras, MTA Centre for Ecological Research (HUN)
  • Banks John E., University of Washington (USA)
  • Barlow Jos, Lancaster University (GBR)
  • Batary Peter, Georg-August University (DEU)
  • Bates Adam J., University of Birmingham (GBR)
  • Bayne Erin M., University of Alberta (CAN)
  • Beja Pedro, Université de Porto (PRT)
  • Berg Ake, Swedish University of Agricultural Sciences (SWE)
  • Berry Nicholas J., University of Edinburgh (GBR)
  • Bicknell Jake E., DICE (GBR)
  • Bihn Jochen H., Philipps University Marburg (DEU)
  • Böhning-Gaese Katrin, BIK-F (DEU)
  • Boekhout Teun, University of Frankfurt (DEU)
  • Boutin Céline, Carleton University (CAN)
  • Bouyer Jérémy, CIRAD-BIOS-UMR CMAEE (SEN) ORCID: 0000-0002-1913-416X
  • et al.

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