@article{fdi:010067427,
  title = {{T}he database of the {PREDICTS} ({P}rojecting {R}esponses of {E}cological {D}iversity {I}n {C}hanging {T}errestrial {S}ystems) project},
  author = {{H}udson, {L}.{N}. and {N}ewbold, {T}. and {C}ontu, {S}. and {F}ournier, {A}nne and {P}{\'e}lissier, {R}apha{\¨e}l and et al.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he {PREDICTS} project—{P}rojecting {R}esponses of {E}cological {D}iversity {I}n {C}hanging {T}errestrial {S}ystems (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. {W}e have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. {W}e 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. {W}e outline how the database can help in answering a range of questions in ecology and conservation biology. {T}o 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 = {},
  booktitle = {},
  journal = {{E}cology and {E}volution},
  volume = {7},
  numero = {1},
  pages = {145--188},
  ISSN = {2045-7758},
  year = {2017},
  DOI = {10.1002/ece3.2579},
  URL = {https://www.documentation.ird.fr/hor/fdi:010067427},
}