Date: December 4, 2012
Below is the list of poster and oral presentations for EFI’s hosted session at the American Geophysical Union (AGU) 2022 Conference in Chicago, as well as other ecological forecasting-related talks that may be of interest to the community. All times are listed in US Central Time.
Thursday EFI Social – Anyone who is available to meet up on December 15, Thursday evening, we’ll have a group getting together at Kroll’s South Loop starting around 6:30 – 8:30pm. It’s an 18-minute walk from the Convention Center. Find directions here.
Friday Poster and Oral Sessions – EFI’s oral and poster sessions on “Ecological Forecasting in the Earth System” will be held on Friday, December 16, 2012. The in-person Poster Session is from 9am-12:30pm in Poster Hall A (South, Level 3). The Online Poster Session is from 1:45-2:45pm. The Oral session is from 4:45-6:15pm in S501bcd (South, Level 5). We’re excited to have a great set of speakers that really span the full gradient from terrestrial to freshwater to marine. Come check out the following talks!
Friday EFI In-Person Poster Session (9:00-12:30, Poster Hall A)
- David Fastovich (Syracuse University) – B52E-0873 Detecting legacies of millennial scale climate oscillations on modern biodiversity: lessons from a proxy-model comparison
- Woojin Jeon (Jeonbuk University) – B52E-0874 ENSO prediction modulated by interactive phytoplankton feedback
- Adrian V Rocha (University of Notre Dame) – B52E-0875 Identifying challenges to increase collaboration between field ecologists and modelers
- Qianyu Li (Brookhaven National Laboratory) – B52E-0876 Soil carbon assimilation through PEcAn State Data Assimilation framework
- Michael Dietze (Boston University) – B25E-0877 Partitioning model-data uncertainties in a terrestrial carbon cycle reanalysis across NEON sites.
- Joshua Bowers (University of Wisconsin Oshkosh) – B52E-0878 Validation of the PEcAn Terrestrial Ecosystem Forecast Using NASA SMAP Satellite Soil Moisture Observations
- Yingjie Hu (University of Buffalo) – B52E-0879 Forecasting vegetation dynamics in an open ecosystem by integrating deep learning and environmental variables
- Buyun Jeong (Seoul National University) – B52E-0880 Incorporation of Fe oxides as an Additional Cd Partitioning Phase in the Presence of Humic Acid for Development of Sediment Toxicity Prediction Model in Oxic Conditions
Friday EFI Online Poster Session (1:45-2:45pm, Online)
- Heng Huang (Texas A&M University) – B54C-01 Projecting transitions from positive to negative net ecosystem productivity merging earth system models with global observation databases
Friday EFI Oral Session (4:45-6:15pm, S501bcd – South, Level 5)
- 4:45 Nicole Lovenduski (University of Colorado) – Near-term predictions of multiple marine stressors
- 4:55 Mark Rowe (NOAA, Great Lakes Environmental Research Laboratory) – Approaches to Development and Assessment of Ecological Forecasts, With Recent Examples From Lake Erie (Invited)
- 5:05 Katherine Hudson Gallagher (Stony Brook University) – Pygoscelis Penguin Colony Locations and Diet Compositions along the West Antarctic Peninsula could be Driven by High Retention and Accumulation of Simulated Krill
- 5:15 Cory Merow (University of Connecticut) – BioFI – The Biodiversity Forecasting Initiative to Understand Population, Community, and Ecosystem Function Under Climate Change
- 5:25 Hannah O’Grady (Mount Holyoke College) – Using Space-for-Time to Understand the Empirical Dynamics of Tropical Rainforests
- 5:35 Chris Wilson (University of Florida) – Forecasting pasture productivity and ecosystem services at scale: insights and challenges combining cross-scale datasets with a canopy process model using a hierarchical Bayesian approach
- 5:45 Cancelled
- 5:55 Kelly Heilman (University of Arizona) – Ecological forecasting of ponderosa pine forest biomass in the Interior West US
- 18:05 – Discussion
Other Forecasting Presentations –
If you are presenting an ecological forecasting-related talk or poster that you don’t see on the list, reach out so we can get it added!
- Mon 9:00-9:10: Katherine Skalak, E270 – Integrated Water Prediction at Regional and National Scales
- Mon 11:10-11:20: Mengqiu Wang, S402a – Improving Sargassum Transport Modeling in the Tropical Atlantic with Continuous Satellite Observations (Invited)
- Mon 11:40-11:50: Anastasia Tarasenko, S402a – Sargassum detection and forecast operational system at Meteo-France
- Mon 11:50-12:00: Robert Marsh, S402a – Monitoring, Understanding and Forecasting Sargassum across the Tropical Atlantic: the SARTRAC Experience
- Mon 12:00-12:10: Donald Johnson, S402a – Toward Seasonal Forecasting of Sargassum Influx Events in the Tropical Atlantic
- Mon 12:10-12:20: Ludivine Goujon, S402a – Study of the littoral dynamics of sargassum in Martinique and the risks of stranding
- Mon 2:45-2:55: Michael Dietze, B15C-01 – Integrating networked observations and remote sensing into a CONUS-scale carbon cycle reanalysis and forecasting system (Invited)
- Mon 2:45-6:15: Saiful Haque Rahat, Poster Hall-A – Machine Learning for River Water Quality Prediction and Detecting Uncertainties with Changing Climate
- Tues 9:10-9:20: Ethan Romero-Severson, E258 – The Climate Integrated Model of Mosquito-Borne Infectious Disease: a large-scale, mechanistic approach to science and global forecasting under climate change
- Tues 2:45-6:15: Shashika Himandi, Poster Hall-A, South Level 3 – Combining Air Borne LiDAR and Forest Inventory Analysis Data (FIA) to Develop a Forest Carbon Model Using Machine Learning Techniques
- Wed 2:45-6:15: Poster Hall-A, South Level 3 – Advances in Data Assimilation, Predictability, and Uncertainty Quantification IV Poster [Poster Session]
- Wed 5:00-5:10: Giangiacomo Navarra, S105d – Using Deep Learning to Forecast Marine Fishery indicators in the North Pacific
- Thurs 9-12:30: Aidan Schneider, Poster Hall-A, South Level 3 – Forecasting West Nile Virus Infections: A Machine-Learning Approach to Epidemiological Monitoring
- Fri 9:00-12:30: Jackie Dean, Poster Hall-A, South Level 3 – Forecasting Net Forest Biomass Changes for Land Management in Interior Alaska