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Analysing biodiversity and conservation knowledge products to support regional environmental assessments

  • Thomas M. Brooks
  • , H. Resit Akçakaya
  • , Neil D. Burgess
  • , Stuart H.M. Butchart
  • , Craig Hilton-Taylor
  • , Michael Hoffmann
  • , Diego Juffe-Bignoli
  • , Naomi Kingston
  • , Brian MacSharry
  • , Mike Parr
  • , Laurence Perianin
  • , Eugenie C. Regan
  • , Ana S.L. Rodrigues
  • , Carlo Rondinini
  • , Yara Shennan-Farpon
  • , Bruce E. Young
  • International Union for Conservation of Nature and Natural Resources
  • University of the Philippines
  • University of Tasmania
  • UNEP-WCMC
  • University of Copenhagen
  • BirdLife International
  • American Bird Conservancy
  • Biodiversity Consultancy
  • Centre d'Ecologie Fonctionnelle et Evolutive
  • University of Rome La Sapienza
  • NatureServe

Research output: Contribution to journalArticlepeer-review

68 Scopus citations

Abstract

Two processes for regional environmental assessment are currently underway: the Global Environment Outlook (GEO) and Intergovernmental Platform on Biodiversity and Ecosystem Services (IPBES). Both face constraints of data, time, capacity, and resources. To support these assessments, we disaggregate three global knowledge products according to their regions and subregions. These products are: The IUCN Red List of Threatened Species, Key Biodiversity Areas (specifically Important Bird &Biodiversity Areas [IBAs], and Alliance for Zero Extinction [AZE] sites), and Protected Planet. We present fourteen Data citations: numbers of species occurring and percentages threatened; numbers of endemics and percentages threatened; downscaled Red List Indices for mammals, birds, and amphibians; numbers, mean sizes, and percentage coverages of IBAs and AZE sites; percentage coverage of land and sea by protected areas; and trends in percentages of IBAs and AZE sites wholly covered by protected areas. These data will inform the regional/subregional assessment chapters on the status of biodiversity, drivers of its decline, and institutional responses, and greatly facilitate comparability and consistency between the different regional/subregional assessments.

Original languageEnglish
Article number160007
JournalScientific Data
Volume3
DOIs
StatePublished - Feb 16 2016

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