Updated to reflect the newly rescheduled date: 13 September 2022
With the help of key partners across the science-policy interface, the alliance for biodiversity knowledge is organizing a community consultation ahead of the Fifteenth Convention of the Parties (COP15) to the UN Convention on Biological Diversity (CBD). This consultation seeks to enlist and engage those involved in developing global and national indicators under the CBD’s Post-2020 Global Biodiversity Framework (GBF) and Essential Biodiversity Variables (EBVs).
A white paper, Primary biodiversity data and the Post-2020 Global Biodiversity Framework, will provide the starting point for a moderated two-week discussion about the dependence of previous and future indicator frameworks on primary biodiversity data.
This agenda for the webinar will form the basis of a two-week moderated consultation addressing the themes of:
- Improving data models and standards for improved usability
- Addressing spatial, temporal and taxonomic biases in primary biodiversity data
- Increasing transparency in processes for indicator development
Participants in the discussion will explore how to improve workflows around the primary biodiversity data on which indicators and EBVs rely and highlight the key role of biodiversity observation networks and information facilities in achieving the goals of the GBF.
Time and location
13 September 2022 15:00–16:30 CEST (UTC+2)
Online consultation and webinar
- David Bloom, VertNet: UF/Florida Museum of Natural History
- Paula Zermoglio VertNet
- Robert Guralnick, Florida Museum of Natural History
- Andrew Rodrigues, GBIF Secretariat
- Tim Hirsch, GBIF Secretariat
- Simon Ferrier CSIRO Land and Water
- Aidin Niamir, Senckenberg Biodiversity and Climate Research Centre
- Yanina Sica, Yale University
- Natasha Ali, United Nations Environment Programme World Conservation Monitoring Centre (UNEP-WCMC)
- Jillian Campbell, UN Convention on Biological Diversity
- Maria Cecilia Londoño, Humboldt Institute | Group on Earth Observations Biodiversity Observation Networks (GEO BON)