AGU annual meeting 2025

B31F - Tropical Forests Under a Changing Environment I Oral

Co Convener: Santiago Botia

Tropical forests are biodiverse ecosystems that exert a critical role in the Earth system’s cycling of water, energy, carbon, trace gases and organic compounds. This session welcomes research in tropical forests using ground-based results (observational studies and manipulation experiments), remote sensing and modeling. Processes to be highlighted include the responses and feedbacks of tropical forests to: (•1)land use change, degradation, changing vegetation demographics, increased atmospheric CO₂, altered rainfall and/or warming; (•2)extreme events (e.g., fire, drought, heat wave, flooding, extreme rainfall); (•3)interannual to interdecadal variability (e.g., ENSO, IOBM); (•4)changes in biodiversity, biogeochemistry (including leaf, nutrient limitation, soil respiration, and carbon sequestration), and ecological processes (including phenology, demography, biogeography).We encourage submissions from a wide range of perspectives, and especially integrative research toward a more holistic view of tropical forest responses to global change. Studies comparing and contrasting responses within biomes and across continents are particularly welcome.

B51O - Ecological Forecasting in Managed and Natural Systems: Hydrology, Agriculture, and the Earth System II Poster

Co Convener: Tejasvi Chauhan

Advances in data, models, and decision support enable rapid progress in making biogeoscience more predictive at all time-scales. Forecasting accelerates science and boosts societal relevance, especially when involving multidisciplinary collaborators, social scientists, and end users. This session highlights methodological and application-based research on forecasting biogeochemistry, biogeophysics, hydrology, agriculture, and ecology across terrestrial and aquatic systems. In particular, we emphasize the emerging opportunities of sub-seasonal to seasonal (S2S) forecasting to support decision-making in agriculture, water resource management, and ecosystem planning. We welcome contributions on: (1) innovations in forecasting tools, climate services, and ecological applications; (2) advances in artificial intelligence, machine learning, and data assimilation for forecasting, with an emphasis on explainability and uncertainty quantification; (3) case studies that evaluate the economic and societal value of forecasts in specific decision-making contexts; and (4) fundamental advances in theories, models, and data streams that improve the predictability of ecological and Earth system processes.