R. Quinn Thomas
Associate Professor | Virginia Tech | Data Science Faculty Fellow | Lead of Ecological Forecasting Initiative Research Coordination Network
Ecosystem Dynamics and Forecasting
Ecosystem: We study the forest and freshwater ecosystems upon which society depends
Dynamics: We model how ecosystems change over time in response to land-use, climate change, atmospheric deposition, and management. We measure carbon, water, and energy exchange between ecosystems and the atmosphere using eddy-covariance and biometeorology sensors.
Forecasting: We predict the future of ecosystems by combining observations and ecosystem models using statistical techniques.
Data Science Faculty Fellow
Co-lead of the Ecological Forecasting Project at Virginia Tech
Department of Forest Resources and Environmental Conservation &
Department of Biological Sciences
Virginia Tech
Steger Hall (0477)
Room 315B
1015 Life Science Circle
Blacksburg, VA 24061
rqthomas@vt.edu
@rquinnthomas
Google Scholar
ORCID
GitHub
Projects
Ecological Forecasting Initiative Research Coordination Network (DEB-1926388)
Lead PI of an NSF sponsored 5-year project that is leading workshops, conferences, and collaborative software development to address the following objectives:
- Define community standards and best practices for developing, sharing, and archiving forecasts and models
- Increase the number and diversity of NEON-enabled (National Ecological Observatory Network) forecasts by developing and hosting the NEON Ecological Forecasting Challenge
- Create educational materials to empower scientists at all career stages to forecast using NEON data products
- Support the creation of software to produce NEON-enabled forecasts at intensive and collaborative coding-focused workshops
- Align forecast outputs and decision support with the needs of forecast users at mission-driven agencies to guide decision making, and
- Synthesize forecasts to examine how limits to forecastability vary across ecological systems and scales.
Other current projects
Democratized Cyberinfrastructure for Open Discovery to Enable Research (OAC-2209866)
Cyberinfrastructure Enabling End-to-End Workflows for Aquatic Ecosystem Forecasting (DBI-1933016)
Global Centers Track 2: Building the Global Center for Forecasting Freshwater Futures (OISE-2330211)
In The News
Diving Into the Future of Freshwater Forecasting - NEON Science
Researchers cross international boundaries to predict better water quality - VT News
Scientists spurred by a thirst to transform the field of phytoplankton forecasting - VT News
Building the tools to make environmental data more accessible and forecasts more accurate - VT News
A vicious cycle of oxygen loss threatens water quality in lakes - VT News
Virginia Tech pioneers smart reservoirs - Roanoke Times
To ensure safe drinking water, experts forecast the health of lakes and reservoirs - VT News
Using data to predict the future of ecosystems - VT News
Testing the water: Virginia Tech team launches system to predict water conditions - VT News
Global Change Center researchers to forecast water quality with NSF support - VT News
Study forecasts growth rates of loblolly pine trees through first half of 21st century - VT News
Publications
Click for a full list of publications
Recent (2023 - )
Clark, C.M., J. Phelan, J. Ash, J. Buckley, J. Cajka, K. Horn, R.Q. Thomas, R. Sabo. 2023. Future climate change effects on U.S. forest composition may offset benefits of reduced atmospheric deposition of N and S. Global Change Biology 29:4793-4810 http://doi.org/10.1111/gcb.16817
Clark, C.M., R.Q. Thomas, and K.J. Horn. 2023. Above-ground tree carbon storage in response to nitrogen deposition in the U.S. is heterogeneous and may have weakened. Communications Earth & Environment 4: 35 https://doi.org/10.1038/s43247-023-00677-w
Dietze, M., R.Q. Thomas, J. Peters, C. Boettiger, A. Shiklomanov, and J. Ashander. 2023. A community convention for ecological forecasting: output files and metadata v1.0. Ecosphere 14: e4686 https://doi.org/10.1002/ecs2.4686
Hounshell, A.G., B. M. D’Acunha, A. Breef-Pilz, M.S. Johnson, R. Quinn Thomas, C.C. Carey. 2023. Eddy covariance data reveal that a small freshwater reservoir emits a substantial amount of carbon dioxide and methane. Journal Geophysical Research - Biogeosciences 128: e2022JG007091 https://doi.org/10.1029/2022JG007091
Lofton, M.E., D.W. Howard, R.Q. Thomas, C. C Carey. 2023. Progress and opportunities in advancing near-term forecasting of freshwater quality. Global Change Biology 29: 1691-1714 https://doi.org/10.1111/gcb.16590
McNellis, R., N. Smith, R.Q. Thomas, and N. van Gestel. Winter cover cropping increases albedo and latent heat flux in a Texas High Plains agro-ecosystem. Accepted at Ecosphere.
Meyer, M.F., M.E. Harlan, R.T. Hensley, Q. Zhan, N.S. Börekçi, T. Bucak, A.N. Cramer, J.Feldbauer, R. Ladwig, J.P. Mesman, I.A. Oleksy, R.M. Pilla, J.A. Zwart, E. Calamita, N.J. Gubbins, M.E. Lofton, D.A. Maciel, N.S. Marzolf, F. Olsson, A.N. Thellman, R.Q.Thomas, M.J. Vlah. 2023. Hacking Limnology Workshops and DSOS23: Growing a Workforce for the Nexus of Data Science, Open Science, and the Aquatic Sciences. Limnology and Oceanography Bulletin. https://doi.org/10.1002/lob.10607
Smith, J.W., L.R. Johnson, and R.Q. Thomas. 2023. Assessing Ecosystem State Space Models: Identifiability and Estimation. Journal of Agriculture, Biological and Environmental Statistics 28: 442–465 https://doi.org/10.1007/s13253-023-00531-8
Smith, J.W., L.R. Johnson, and R.Q. Thomas. 2023. Parameterizing Lognormal state space models using moment matching. Environmental and Ecological Statistics 30: 385-419. https://doi.org/10.1007/s10651-023-00570-x
Thomas, R.Q., C. Boettiger, C.C. Carey, M.C. Dietze, L.R. Johnson, M.A. Kenney, J.S. Mclachlan, J.A. Peters, E.R. Sokol, J.F. Weltzin, A. Willson, W.M. Woelmer, and Challenge Contributors. 2023. The NEON Ecological Forecasting Challenge. Frontiers in Ecology and Environment 21: 112-113. https://doi.org/10.1002/fee.2616
Thomas, R.Q, R.P. McClure, T.N. Moore, W.M. Woelmer, C. Boettiger, R.J. Figueiredo, R.T. Hensley, C.C. Carey. Near-term forecasts of NEON lakes reveal gradients of environmental predictability across the U.S. Frontiers in Ecology and Environment 21: 220–226. https://doi.org/10.1002/fee.2623
Wander, H.L., R.Q Thomas, T.N. Moore, M.E. Lofton, A. Breef-Pilz, C.C. Carey. Data assimilation experiments inform monitoring needs for near-term ecological forecasts in a eutrophic reservoir. Accepted at Ecosphere Pre-print: https://doi.org/10.22541/essoar.168500255.59108131/v1
Willson, A.M., H. Gallo, J.A. Peters, A. Abeyta, N. Bueno Watts, C.C. Carey, T.N. Moore, G. Smies, R.Q. Thomas, W.M. Woelmer, and J.S. McLachlan. 2023. Assessing opportunities and inequities in undergraduate ecological forecasting education. Ecology and Evolution 13: e10001. https://doi.org/10.1002/ece3.10001
Wheeler, K., M. Dietze, D. LeBauer, J. Peters, A.D. Richardson, R.Q. Thomas, K. Zhu, U. Bhat, S. Munch, R.F Buzbee, M. Chen, B. Goldstein, J.S. Guo, D. Hao, C. Jones, M. Kelly-Fair, H. Liu, C. Malmborg, N. Neupane. D. Pal, A. Ross, V. Shirey, Y. Song, M. Steen, E.A. Vance, W.M. Woelmer, J. Wynne and L. Zachmann. Predicting Spring Phenology in Deciduous Broadleaf Forests: An Open Community Forecast Challenge. Agricultural and Forest Meteorology Pre-print: http://dx.doi.org/10.2139/ssrn.4357147
Woelmer, W.M., T.N. Moore, M.E. Lofton, R.Q. Thomas, and C.C. Carey. 2023. Embedding communication concepts in forecasting training increases students’ understanding of ecological uncertainty Ecosphere 14: e4628 https://doi.org/10.1002/ecs2.4628
Wynne, J. H., W. M. Woelmer, T. N. Moore, R.Q. Thomas, K C. Weathers, and C. C. Carey. 2023. Uncertainty in projections of future lake thermal dynamics is differentially driven by global climate models and lake models. PeerJ 11:e15445 https://doi.org/10.7717/peerj.15445
Pre-prints undergoing peer-review
Olsson, F, T.N. Moore, C.C. Carey, A. Breef-Pilz, and R.Q. Thomas. 2023. A multi-model ensemble of baseline and process-based models improves the predictive skill of near-term lake forecasts. ESS Open Archive https://doi.org/10.22541/essoar.169049097.75300247/v1
Bio
A.B. Dartmouth College, Hanover, NH (2001 - 2005)
M.S. University of New Hampshire, Durham, NH (2005 - 2007)
Ph.D. Cornell University, Ithaca, NY (2007 - 2012)
Post-doc, National Center for Atmospheric Research, Boulder, CO (2012 - 2013)
Assistant Professor, Department of Forest Resources and Environmental Conservation, Virginia Tech, Blacksburg, VA (2013 - 2019)
Associate Professor, Department of Forest Resources and Environmental Conservation, Virginia Tech, Blacksburg, VA (2019 - present)
Associate Professor, Department of Biological Sciences, Virginia Tech, Blacksburg, VA (2021 - present)
Visiting Scholar, Dartmouth College, Hanover, NH (2021 - 2022)
Visiting Scientist, Terrestrial Ecosystem Research Network, University of Queensland, Brisbane, QLD, Australia (2022 - present)
Data Science Faculty Fellow, College of Science, Virginia Tech, Blacksburg, VA (2022 - present)
Team Members
Ph.D. students
Bibek Kandel
Post-docs
Mary Lofton (Co-mentored with Cayelan Carey)
Maike Holthuijzen (Co-mentored with Cayelan Carey)
Freya Olsson (Co-mentored with Cayelan Carey)
Data Scientist
Austin Delany
Alumni
Joshua Rady (PhD)
Benjamin Ahlswede (PhD)
Michael Graham (PhD; Geospatial and Environmental Analysis; co-advised with Megan O’Rourke)
Kevin J. Horn (Post-doc)
Annika Jersild (MS)
Ryan McClure (Post-doc; Co-mentored with Cayelan Carey)
Wyatt McCurdy (MS)
Tadhg Moore (Post-doc; Co-mentored with Cayelan Carey)
Laura Puckett (UG)
John Smith (PhD in Statistics; co-advised with Leah Johnson)
Teaching
FREC 3044: Environmental Data Science
FREC 5884: Ecological Forecasting
FREC 3604: Climate Science
FREC 5034: Ecosystem Dynamics
FREC 5204: Ecosystem and Climate
Join Us
Interested Ph.D. or Masters of Science students should send an email letter of inquiry containing an overview of your research interests and your C.V. Please feel free to contact me with questions about the application process, graduate school at Virginia Tech, or potential research ideas.