Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the application of persistent homology in analyzing plant-pollinator interactions through this informative conference talk. Delve into the mathematical analysis of ecological relationships, moving beyond traditional network representations to incorporate simplicial complexes. Discover how topological data analysis extends the framework to allow connections between multiple vertices, weighted by pollinator preferences for specific plant types. Learn about the significance of using persistent homology to identify enduring topological features across various pollinator preference ranges. Compare the outcomes of analyses conducted with and without flowering plant survey data, highlighting the importance of comprehensive data collection in understanding plant-pollinator community structures. Gain insights into the utility of integrating quantitative interaction data with flowering plant surveys for a more accurate representation of ecological relationships.