Center for Ecosystem Forecasting
Our Mission
We are an interdisciplinary team that develops and applies forecasts of ecosystem dynamics.
We are an action-oriented research center: we collect and analyze environmental data; build and share ecological models and software; create and assess a diversity of forecasting methods; translate and communicate forecasts for decision support; and partner and engage with forecast users. We strive to advance the discipline of ecosystem forecasting globally by leading cutting-edge forecasting research, education, and community engagement.
- Ecology + Models + Uncertainty
- Ecology + Models + Uncertainty
- Ecology + Models + Uncertainty
News & Updates
Follow Along
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Article ItemEducation modules build student and instructor skills , article
Frustrated with a gap of available data science training opportunities for environmental science undergraduate students and instructors, in 2017 Virginia Tech researchers built a new educational program and extended it to other universities.
Date: Oct 25, 2024 -
Article ItemNew center showcases Virginia Tech's strengths in global sustainability , article
Cayelan Carey and Quinn Thomas, co-directors of the Virginia Tech Center for Ecosystem Forecasting, are striving to stay ahead of ecological hazards and broadly extending their efforts to encompass partners both home and abroad.
Date: Apr 09, 2024 -
Article ItemResearchers receive National Science Foundation grant for long-term data research , article
The five-year grant will support three Virginia Tech researchers working to help better predict the future of ecosystems.
Date: Feb 26, 2024
Why This Work Matters
We can no longer use historical baselines to predict tomorrow’s environmental conditions.
The environment is changing dramatically, and quickly.
We develop tools to predict future environmental conditions, in the way the National Weather Service currently forecasts weather. The environmental variables we focus on provide critical services for society and bolster our understanding of natural resource management.