Consultation on data needs for the Post-2020 Global Biodiversity Framework

In preparation for the Fifteenth Convention of the Parties (COP15) to the UN Convention on Biological Diversity (CBD) in Kunming, China, the _alliance for biodiversity knowledge_ is organizing a community consultation. With the help of key partners across the science-policy interface, the consultation will engage those involved in developing global and national indicators under the CBD’s post-2020 Global Biodiversity Framework (GBF) and Essential Biodiversity Variables (EBVs).

To start the discussion, we encourage community members to read the white paper, Primary biodiversity data and the Post-2020 Global Biodiversity Framework, which provides an overview of the dependence of previous and future indicator frameworks on primary biodiversity data.

Watch the recording here

This agenda for the webinar will form the basis of a two-week moderated consultation addressing the themes of:

• Data models and standards for improved usability
• Spatial, temporal and taxonomic biases in the data
• Transparency of data and methodologies used in indicators

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.

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 Consultation partners 

• David Bloom, VertNet: UF/Florida Museum of Natural History
• Paula Zermoglio VertNet
• Robert Guralnick, Florida Museum of Natural History
• Andrew Rodrigues, GBIF Secretariat
• Joe Miller, GBIF Secretariat
• Tim Hirsch, GBIF Secretariat
• Simon Ferrier CSIRO Land and Water
• Aidin Niamir, Senckenberg Biodiversity and Climate Research Centre
• Yanina Sica, Yale University | Map of Life
• 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)
• Melodie Mcgeogh, La Trobe University
• Louise McRae, Zoological Society of London