Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 18, issue 3
Articles | Volume 18, issue 3
https://doi.org/10.5194/essd-18-2371-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-18-2371-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 3
Data description article
 | 
31 Mar 2026
Data description article |  | 31 Mar 2026

Toward better conservation: a spatial analysis of species occurrence data from the Global Biodiversity Information Facility

Susmita Dasgupta, Brian Blankespoor, and David Wheeler

Viewed

Total article views: 3,548 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,957 735 856 3,548 73 145
  • HTML: 1,957
  • PDF: 735
  • XML: 856
  • Total: 3,548
  • BibTeX: 73
  • EndNote: 145
Views and downloads (calculated since 18 Sep 2024)
Cumulative views and downloads (calculated since 18 Sep 2024)

Viewed (geographical distribution)

Total article views: 3,548 (including HTML, PDF, and XML) Thereof 3,462 with geography defined and 86 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 20 Apr 2026
Download
Short summary
This study leverages recent advances in machine-based pattern recognition to estimate occurrence maps for over 600,000 species, using georeferenced data from the Global Biodiversity Information Facility (GBIF). A pilot application for priority-setting identifies 30 nations that host nearly 80 percent of threatened species with small ranges limited to a single country. The algorithms are designed for rapid map updates and estimating new maps as growth in GBIF species occurrence reports continues.
Read more
Share
Altmetrics
Final-revised paper
Preprint