Ecological Forecasting in the Earth System

Session ID#: 119507

Session Description:
How are ecosystems and the services they provide going to change in the future? How do human decisions affect this trajectory? In a world facing rapid environmental change, the most pressing biogeoscience questions are fundamentally about forecasting. Due to advances in data availability, models, statistics, and decision support, the time is ripe for rapid progress in making biogeoscience more predictive. Furthermore, a forecasting approach will not only improve biogeoscience more quickly, but will make it more relevant to society, especially when combined with multidisciplinary approaches that engage partners and social scientists. That said, there are many conceptual and technical challenges to our ability to make predictions, such as the need for improvements in theory, models, data assimilation, and uncertainty quantification, targeting data deficiencies, and improving the usability of forecasts in decision-making. This session highlights methodological and application-based research on forecasting biogeochemistry, biogeophysics, and ecology across terrestrial and aquatic systems.
Co-Sponsor(s):
  • AMS: American Meteorological Society -
  • ESA: Ecological Society of America -
Index Terms:

0430 Computational methods and data processing [BIOGEOSCIENCES]
0466 Modeling [BIOGEOSCIENCES]
1910 Data assimilation, integration and fusion [INFORMATICS]
1922 Forecasting [INFORMATICS]


Primary Convener:  Michael Dietze, Boston University, Boston, MA, United States and Ecological Forecasting Initiative
Conveners:  Kelly Heilman, University of Notre Dame, Notre Dame, IN, United States, Ann Raiho, Colorado State University, Fort Collins, CO, United States, Jacob Zwart, USGS Integrated Information Dissemination Division, Data Science Branch, Middleton, United States and Ecological Forecasting Initiative
Primary Liaison:  Michael Dietze, Boston University, Boston, MA, United States and Ecological Forecasting Initiative
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