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|CSDMS meeting abstract presentation=Society is facing unprecedented environmental challenges that have pushed us into a world dominated by transients and variability. Informed decision making in this era, at scales from the individual to the globe, requires explicit predictions on management-relevant timescales, based on the best available information, and considering a wide range of uncertainties. As a research community, we are not yet meeting this need. In this talk I will introduce the Ecological Forecasting Initiative (EFI), an international grass-roots research consortium aimed at building a community of practice. I will discuss EFI’s cross-cutting efforts to tackle community-wide bottlenecks in cyberinfrastructure, community standards, methods and tools, education, diversity, knowledge transfer, decision support, and our theoretical understanding of predictability. I will highlight examples of near real-time iterative ecological forecasts across a wide range of terrestrial and aquatic systems, as well as work done by my own group developing PEcAn (a terrestrial ecosystem model-data informatics and forecasting system) and our recent efforts to generalize these approaches to other forecasts. Finally, I will also introduce EFI’s ecological forecasting competition, which relies on a wide range of continually-updated NEON (National Ecological Observatory Network) data. | |CSDMS meeting abstract presentation=Society is facing unprecedented environmental challenges that have pushed us into a world dominated by transients and variability. Informed decision making in this era, at scales from the individual to the globe, requires explicit predictions on management-relevant timescales, based on the best available information, and considering a wide range of uncertainties. As a research community, we are not yet meeting this need. In this talk I will introduce the Ecological Forecasting Initiative (EFI), an international grass-roots research consortium aimed at building a community of practice. I will discuss EFI’s cross-cutting efforts to tackle community-wide bottlenecks in cyberinfrastructure, community standards, methods and tools, education, diversity, knowledge transfer, decision support, and our theoretical understanding of predictability. I will highlight examples of near real-time iterative ecological forecasts across a wide range of terrestrial and aquatic systems, as well as work done by my own group developing PEcAn (a terrestrial ecosystem model-data informatics and forecasting system) and our recent efforts to generalize these approaches to other forecasts. Finally, I will also introduce EFI’s ecological forecasting competition, which relies on a wide range of continually-updated NEON (National Ecological Observatory Network) data. | ||
|CSDMS meeting youtube code= | |CSDMS meeting youtube code=yYLjrBjYWdY | ||
|CSDMS meeting participants=0 | |CSDMS meeting participants=0 | ||
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{{Presenters additional material | {{Presenters additional material | ||
|Working group member=Terrestrial Working Group, Coastal Working Group, Marine Working Group, Education and Knowledge Transfer (EKT) Working Group, Cyberinformatics and Numerics Working Group, Hydrology Focus Research Group, Chesapeake Focus Research Group, Critical Zone Focus Research Group, Human Dimensions Focus Research Group, Ecosystem Dynamics Focus Research Group, Coastal Vulnerability Initiative, Artificial Intelligence & Machine Learning Initiative | |Working group member=Terrestrial Working Group, Coastal Working Group, Marine Working Group, Education and Knowledge Transfer (EKT) Working Group, Cyberinformatics and Numerics Working Group, Hydrology Focus Research Group, Chesapeake Focus Research Group, Critical Zone Focus Research Group, Human Dimensions Focus Research Group, Ecosystem Dynamics Focus Research Group, Coastal Vulnerability Initiative, Artificial Intelligence & Machine Learning Initiative | ||
|CSDMS meeting presentation=Dietze CSDMS 2020.pdf | |||
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Latest revision as of 06:55, 31 May 2020
CSDMS 2020: Linking Ecosphere and Geosphere
21st Century Science For 21st Century Environmental Decision Making: The Challenges And Opportunities Of Near-Term Iterative Environmental Forecasting
Abstract
Society is facing unprecedented environmental challenges that have pushed us into a world dominated by transients and variability. Informed decision making in this era, at scales from the individual to the globe, requires explicit predictions on management-relevant timescales, based on the best available information, and considering a wide range of uncertainties. As a research community, we are not yet meeting this need. In this talk I will introduce the Ecological Forecasting Initiative (EFI), an international grass-roots research consortium aimed at building a community of practice. I will discuss EFI’s cross-cutting efforts to tackle community-wide bottlenecks in cyberinfrastructure, community standards, methods and tools, education, diversity, knowledge transfer, decision support, and our theoretical understanding of predictability. I will highlight examples of near real-time iterative ecological forecasts across a wide range of terrestrial and aquatic systems, as well as work done by my own group developing PEcAn (a terrestrial ecosystem model-data informatics and forecasting system) and our recent efforts to generalize these approaches to other forecasts. Finally, I will also introduce EFI’s ecological forecasting competition, which relies on a wide range of continually-updated NEON (National Ecological Observatory Network) data.
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Of interest for:
