2020 ESA Annual Meeting (August 3 - 6)

INS 17 - Big Data Reveal Seasonal Changes: Innovation in the Integration and Analysis of Large Phenological Datasets

Thursday, August 6, 2020: 3:00 PM-3:30 PM
Organizer:
Katharine L. Gerst
Co-organizer:
Katherine Jones
Moderator:
Katharine L. Gerst
Shifts in phenology in response to changing climate lead to well-documented ecological consequences for plant, animal and human communities. Until recently, studies have relied on data constrained to limited sites, species, timeframes, or sampling methods.  This session will highlight new and innovative efforts to integrate data across scales and platforms and to analyze large complex datasets (e.g. USA National Phenology Network, NEON, Phenocam, and MODIS). This discussion of the ‘revolution’ in open phenological data will be informed by work that examines responsible data collection and data sovereignty. Presentations will include snapshots of projects that bring together observational datasets and remotely sensed data, digitize and score phenological information from herbaria, use the Plant Phenology Ontology to integrate data across the globe, and utilize big data tools and resources to address both local and large-scale questions. Presenters will share their vision for a future of phenological research that involves visualizing and integrating phenological information across large datasets to create short- and long-term forecasts and tools to inform decision-making and climate adaptation.
The California Phenology Network: Building capacity for sharing specimen-based phenological data
Katelin Pearson, California Polytechnic State University; Jenn M. Yost, California Polytechnic State University
NEON and National Phenology Network cross-pollination: Budding opportunities to discover phenological patterns with integrated multi-network datasets
Katherine Jones, National Ecological Observatory Network; Katharine L. Gerst, USA National Phenology Network
We can improve phenological data integration
Katharyn Duffy, Northern Arizona University; Jeffrey Morisette, U.S. Department of the Interior; Andrew D. Richardson, Northern Arizona University
The pipeline of phenological data in large scale automated forecasts
Shawn D. Taylor, USDA Agricultural Research Service, Jornada Experimental Range, University of Florida
The greenwave: Moving beyond descriptive to predictive models of seasonality
Luke J. Zachmann, Conservation Science Partners; Vincent A. Landau, Conservation Science Partners; Tony Chang, Conservation Science Partners; Jeffrey Morisette, U.S. Department of the Interior
Cross-continental, integrated phenological observations reveals that the effect of urbanization on plant phenology depends on regional temperature
Robert P. Guralnick, Florida Museum of Natural History; Daijiang Li, University of Florida; Brian Stucky, Florida Museum of Natural History
Climate and phenology network synergies for sustainable agriculture
Dawn Browning, USDA - Agricultural Research Service; Shawn D. Taylor, USDA Agricultural Research Service, Jornada Experimental Range
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