December 2, 2025

Below is the list of poster and oral presentations for EFI’s hosted session at the American Geophysical Union (AGU) 2025 Conference in New Orleans, as well as other ecological forecasting-related talks, and talks by EFI community members that may be of interest. All times are listed in US Central Time.

Thursday EFI Social – Meet up with others in the EFI community on Thursday evening, December 18, from 6:00-8:00 pm at the Rusty Nail, just a short walk from the convention center.

EFI’s Friday Poster and Oral Sessions – EFI’s oral and poster sessions on “Ecological Forecasting in Managed and Natural Systems: Hydrology, Agriculture, and the Earth System” will be held on Friday, December 19. We’re excited to have a great set of speakers that span cyberinfrastructure, decision making, and forecasts for coastal, terrestrial, and agricultural systems. Details of the talks and posters are below.

Friday Oral Session (8:30-10:00, Rm: 265-266 – Nola CC)

• 8:30 – John Zobitz (Augsburg University) – Evaluating Real-Time Forecasts of Soil Carbon Flux Across the Continental United States (Invited)
• 8:40 – Cameron Webb (Boston University) – Using National Forest Inventory Data to Advance Carbon Cycle Model-Data Assimilation
• 8:50 – Van Huong Le (University of Delaware) – Long-term Ecological Studies Must Continue: Insights From a Dryland Transition Zone
• 9:00 – Biying Wang (Duke Kunshan University) – Forecasting Climate-Driven Impacts in Migratory Pathways of an Endangered Waterbird Using Atmospheric Circulation Patterns
• 9:10 – Andrew Villeneuve (University of New Hampshire) – Beyond Climatology: Thermal Tolerance Landscapes Forecast the Biological Impacts of Marine Heatwaves (Invited)
• 9:20 – Kirti Rajagopalan (Washington State University) – Practitioner Perspectives on the Potential Utility of Seasonal Forecasts to Support Agricultural Decisions
• 9:30 – Andrew Robertson (Center for Climate Systems Research, NASA GISS) – Improving Sub-seasonal Monsoon Forecasts Over India with Machine Learning for Hydrologic Applications (Invited)
• 9:40 – Madhav Marathe (Virginia Tech) – Transforming Sustainable Agriculture using AI
• 9:50 – Discussion

Friday Poster Session (8:30-12:00, Hall EFG – Poster Hall)

• Yinghao Sun (Boston University) – A Cohort-Based Carbon Reanalysis Across the CONUS NEON Sites Using PEcAn+LPJ-GUESS
• Yang Gu (Boston University) – Improving NEE and LE Estimates Across North America: A Hybrid Data Assimilation + Machine Learning Approach to Gap-Filling, Model Bias Correction, and Downscaling
• Dongchen Zhang (Boston University) – Mapping the North American Terrestrial Carbon Cycle: a Process-based Reanalysis Using State Data Assimilation (SDA)
• Zhuohong Li (Duke University) – Unequal Urban Greening Revealed by the First Sub-Meter Vegetation Map of the U.S.
• Prasad Deshpande (Kansas State University) – Bayesian Neural Networks for Uncertainty-Aware Fog Detection and Forecasting
• Mao Mao (Nanjing University, Tulane University) – Earth System Modeling of Mercury Using CESM2: Oceanic Model POP2/Hg
• Krishu Thapu (Washington State University) – ForeSWE: An Attention Model for Forecasting SWE with Uncertainty Quantification
• Mohammed Amine Gharsallaoui (Washington State University) – Streamflow Forecasting via Vision Transformer over Clustered Water Basins
• Di Wu (University of Colorado at Boulder) – High resolution mapping of Mormon cricket with a Bayesian spatiotemporal species distribution model
• Snehalata Sainjoo (University of Minnesota) – Testing Probabilistic Visualization Designs and Their Impacts on Agricultural Decision Making
• Eunji Byun (Yonsei University) – Research Trends on Ecosystem Responses to Earthquakes

Other Forecasting Presentations & Presentations by the EFI Community

If you are presenting an ecological forecasting-related talk or poster that you don’t see on the list, email EFI so we can get it added!

Monday

• 8:30-12, Charina Lyn A Repollo (University of the Philippines Diliman), Hall EFG (Poster Hall) – Marine Heatwaves in the Philippines: Implications for the Marine Environment and Coral Reefs
• 8:40-8:50, Kelly Heilman (Oak Ridge Associated Universities; USDA Forest Service, Northern Research Station), 207 (Nola CC) – Toward a tree-ring enhanced National Forest Inventory: Data assimilation approaches to estimate inter-annual variability in forest carbon and drivers
• 8:45-8:55, Mauricio Eduardo Arias (University of South Florida Tampa), 252-227 (Nola CC) – Towards an Integrated Water Quality Forecast in South Florida (Invited)
• 14:15-17:45, Rohit Shukla (Virginia Polytechnic Institute and State University), Hall EFG (Poster Hall) – Near-term Water Quality Forecasting and Uncertainty Analyses in Freshwater Ecosystems using Machine Learning
• 14:15-17:45, Michael Dietze (Boston University), Hall EFG (Poster Hall) – Spatiotemporal uncertainties in carbon budget estimation: assessing the impact of autocorrelation on the portfolio effect

Tuesday

• 9:40-9:50, Michael Dietze (Boston University), 260 (Nola CC) – The PEcAn+SIPNET Terrestrial Carbon Cycle Reanalysis of North America: Development and Validation
• 11:40-11:50, David LeBauer (The LeBauer Approach, LLC), 265-266 (Nola CC) – An Open Workflow to Generate Inventories and Scenario-based Projections of Greenhouse Gas Balance Across California’s Croplands
  13:00-14:00, Melissa Kenney (University of Minnesota), Kristen Averyt (AGU, EVP Science), Matthew Giampoala (AGU, VP Publications), Constantine Samaras (Carnegie Mellon University), Emille Beller (AGU, Senior Coordinator, Special Collections), 243-244 (Nola CC) –  A Discussion on the ‘U.S. Climate Collection: Informing Assessment of Risks and Solutions’

Wednesday

• 8:30-12:00, Mallory Barnes (Indiana University Bloomington), Hall EFG (Poster Hall) – Importance of soil moisture temporal scale, depth, and antecedent conditions for machine-learning based predictions of dryland carbon and water fluxes
• 8:30-12:00, Melissa Kenney (University of Minnesota), Hall EFG (Poster Hall) – Fifteen Years of Community-based Research and Mentorship: Reflections from the SLAWR REU Program
• 10:40-10:50, Melissa Kenney (University of Minnesota), 225-227 (Nola CC) – Evaluating the Usability of Flood Inundation Maps Through Experimental Testing
• 11:30-11:40, Sarah Kanee (Boston University), 206 (Nola CC) – Integrating Remotely-Sensed Agricultural Management into Scalable GHG Modeling Workflows
• 14:15-17:45, Yejin Lee (Jeonbuk National University), Hall EFG (Poster Hall) – Assessing Chlorophyll Concentration in Using Geostationary Ocean Color Imager Satellite and Deep Learning approach: Case study of Reclaimed Areas of Saemangeum Watershed
• 14:15-17:45, Monish Vijay Deshpande (University of Michigan), Hall EFG (Poster Hall) – End-of-Season and Forecast Yield Prediction for Rabi Wheat in India’s Breadbasket Using Multi-sensor Fusion of Satellite Data and Machine Learning
• 15:05-15:15, Abhilash Neog (Virginia Polytechnic Institute and State University), 243-244 (Nola CC) – Toward Scientific Foundation Models for Aquatic Ecosystems
• 15:17-15:27, Zachary Woods (Southern Nazarene University), 298-299 (Nola CC) – Predicting Mosquito Vector Abundance for Targeted West Nile Virus Control
• 16:45-16:55, Deanna Nash (Scripps Institution of Oceanography, University of California San Diego), 297 (Nola CC) – Rivers in the Sky, Landslides on the Ground: Community Science on Prince of Wales in Southeast Alaska

Thursday

• 14:55-15:05, Sasha Reed (U.S. Geological Survey, Southwest Biological Science Center), 267-268 (Nola CC) – Pushed Over the Edge: Using Multi-scale Approaches to Understand and Forecast Dryland Responses to Climate Extremes
• 16:15-16:30, Dexter Howard (Virginia Polytechnic Institute and State University), 220-22 (Nola CC) – Changes in Dissolved Organic Matter Composition across the Lotic to Lentic Boundary in a Reservoir Longitudinal Gradient
• 16:20-16:30, Keenan Ganz (University of Washington Seattle Campus), 261-262 (Nola CC) – Autocorrelation, not ecological context, drives tree mortality forecasts at continental scale

Friday

• 8:30-12:00, Guantao Pu (Zhejiang University), Hall EFG (Poster Hall) – Prediction of Marine Ecological Environment Based on Deep Neural Network