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).
From Uncertainty to Action: Integrating In-Situ and Remote Sensing Campaigns for Open Biodiversity Data Products
Anabelle Cardoso1,8, Kyla Dahlin2, Mike Harfoot3, Erin Hestir4, Carsten Meyer5, Javier Pacheco-Labrador6, Christian Rossi7, Maria J. Santos7, Adam M. Wilson1
1University at Buffalo, United States of America; 2Michigan State University, United States of America; 3Vizzuality, United Kingdom; 4University of California Merced, United States of America; 5iDiv; 6Spanish National Research Council (CSIC), Spain; 7University of Zurich, Switzerland; 8University of Capetown, South Africa
Conserving biodiversity is a global priority that urgently requires effective decision-making. Open, Operational Biodiversity Data Products (OOBDPs) that deliver information to decision-makers at the appropriate spatiotemporal scale are critical to informing conservation policy and action across governments, corporations, and local communities. However, efficiently scaling spatiotemporal biodiversity data products beyond the few areas/periods/variables with comprehensive in situ data, while maintaining scientific integrity, is challenging, as uncertainties inherent in these products negatively scale with in situ data coverage and quality.
Biodiversity is intrinsically local and context-specific, making the integration of in situ data and remote sensing essential for reducing these uncertainties. Despite significant advancements, current practices often fail to explicitly address or propagate uncertainty, limiting the utility and trust in these products among decision-makers.
This workshop will explore how to conceptualize, quantify, communicate, and reduce uncertainty in biodiversity data. By discussing intensive field campaigns, data integration, and emerging technologies, participants will work collaboratively to identify best practices, address key gaps, and provide actionable recommendations for improving biodiversity data products, optimizing resource allocation, and enhancing decision-making processes.
