Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
1Meise Botanic Garden / Stellenbosch University; 2Meise Botanic Garden; 3Alma Mater Studiorum University of Bologna
This demo session introduces researchers and policymakers to the innovative use of data cubes in biodiversity informatics and ecological modeling, as they are developed in the B-Cubed project (https://b-cubed.eu/). Participants will gain insights into practical applications for biodiversity monitoring and development of indicators, emphasizing collaboration and open science.
Session Outline:
1. Introduction to GBIF Data Cubes and the B-Cubed project (30 minutes). Participants will be introduced to biodiversity data cubes, their structure, and their applications in biodiversity monitoring. Key topics will include an overview of biodiversity data, common biases, and how the data cubes can be generated using the Global Biodiversity Information Facility (GBIF) APIs. The principles of open science will be highlighted through practical examples.
2. Using Biodiversity Data Cube for Indicators (25 minutes). This section will provide a live demonstration of building workflows to generate indicators out of the GBIF data cubes. During the demonstration, the Phylogenetic Diversity indicator will be explained and applied to a specific case.
3. Ecological Modeling and Simulated Data Cubes (25 minutes). Participants will explore advanced analytical techniques for ecological modeling, focusing on climate-related impacts and adaptation strategies. The session will demonstrate how Virtual Suitability Data cubes can be generated and used in modeling workflows.
4. Open discussion (10 minutes).
Outcome:
Attendees will leave with an understanding of the potential of data cubes for biodiversity and ecological analysis, insights into open science practices, and inspiration to apply these techniques in their own work.
