R. Quinn Thomas

About R. Quinn Thomas

R. Quinn Thomas, With an exceptional h-index of 27 and a recent h-index of 24 (since 2020), a distinguished researcher at Virginia Polytechnic Institute and State University, specializes in the field of ecosystem science, forests, ecological forecasting, ecosystem modeling, global change.

His recent articles reflect a diverse array of research interests and contributions to the field:

Winter cover cropping increases albedo and latent heat flux in a Texas High Plains agroecosystem

Data assimilation experiments inform monitoring needs for near‐term ecological forecasts in a eutrophic reservoir

A modular curriculum to teach undergraduates ecological forecasting improves student and instructor confidence in their data science skills

Process-Based Forecasts of Lake Water Temperature and Dissolved Oxygen Outperform Null Models, with Variability Over Time and Depth

What can we learn from 100,000 freshwater forecasts? A synthesis from the NEON Ecological Forecasting Challenge

A multi-model ensemble of empirical and process-based models improves the predictive skill of near-term lake forecasts

Predicting spring phenology in deciduous broadleaf forests: NEON phenology forecasting community challenge

Macrosystems EDDIE Module 6: Understanding Uncertainty in Ecological Forecasts (Instructor Materials)

R. Quinn Thomas Information

University

Position

Associate Professor Department of Forest Resources and Environmental Conservation

Citations(all)

4042

Citations(since 2020)

2864

Cited By

1993

hIndex(all)

27

hIndex(since 2020)

24

i10Index(all)

43

i10Index(since 2020)

41

Email

University Profile Page

Google Scholar

R. Quinn Thomas Skills & Research Interests

ecosystem science

forests

ecological forecasting

ecosystem modeling

global change

Top articles of R. Quinn Thomas

Title

Journal

Author(s)

Publication Date

Winter cover cropping increases albedo and latent heat flux in a Texas High Plains agroecosystem

Ecosphere

Risa McNellis

Natasja van Gestel

R Quinn Thomas

Nicholas G Smith

2024/2

Data assimilation experiments inform monitoring needs for near‐term ecological forecasts in a eutrophic reservoir

Ecosphere

Heather L Wander

R Quinn Thomas

Tadhg N Moore

Mary E Lofton

Adrienne Breef‐Pilz

...

2024/2

A modular curriculum to teach undergraduates ecological forecasting improves student and instructor confidence in their data science skills

ESS Open Archive

ME Lofton

TN Moore

WM Woelmer

RQ Thomas

CC Carey

2024

Process-Based Forecasts of Lake Water Temperature and Dissolved Oxygen Outperform Null Models, with Variability Over Time and Depth

Available at SSRN 4699835

Whitney M Woelmer

R Quinn Thomas

Freya Olsson

Bethel G Steele

Kathleen C Weathers

...

2024

What can we learn from 100,000 freshwater forecasts? A synthesis from the NEON Ecological Forecasting Challenge

Ecological Applications

Freya Olsson

Cayelan C Carey

Carl Boettiger

Gregory Harrison

Robert Ladwig

...

2024/5/1

A multi-model ensemble of empirical and process-based models improves the predictive skill of near-term lake forecasts

Authorea Preprints

Freya Olsson

Tadhg Moore

Cayelan Carey

Adrienne Breef-Pilz

R Quinn Thomas

2023/7/27

Predicting spring phenology in deciduous broadleaf forests: NEON phenology forecasting community challenge

Agricultural and Forest Meteorology

Kathryn I Wheeler

Michael C Dietze

David LeBauer

Jody A Peters

Andrew D Richardson

...

2024/2/15

Macrosystems EDDIE Module 6: Understanding Uncertainty in Ecological Forecasts (Instructor Materials)

Tadhg N Moore

Mary E Lofton

Cayelan C Carey

R Quinn Thomas

2023/12

Progress and opportunities in advancing near-term forecasting of freshwater quality

Global Change Biology

M.E. Lofton

D.W. Howard

R.Q. Thomas

C. C Carey

2023

Embedding communication concepts in forecasting training increases students’ understanding of ecological uncertainty

Ecosphere

Whitney M Woelmer

Tadhg N Moore

Mary E Lofton

R Quinn Thomas

Cayelan C Carey

2023/8

Macrosystems EDDIE module 8: Using ecological forecasts to guide decision-making (instructor materials)

Whitney M Woelmer

R Quinn Thomas

Tadhg N Moore

Cayelan C Carey

2023/5

Near-term forecasts of NEON lakes reveal gradients of environmental predictability across the U.S.

Frontiers in Ecology and Environment

R.Q Thomas

R.P. McClure

T.N. Moore

Woelmer

W. M.

...

2023

Assessing opportunities and inequities in undergraduate ecological forecasting education

Ecology and Evolution

Alyssa M Willson

Hayden Gallo

Jody A Peters

Antoinette Abeyta

Nievita Bueno Watts

...

2023/5

Eddy covariance data reveal that a small freshwater reservoir emits a substantial amount of carbon dioxide and methane

Journal of Geophysical Research: Biogeosciences

Alexandria G Hounshell

Brenda M D’Acunha

Adrienne Breef‐Pilz

Mark S Johnson

R Quinn Thomas

...

2023/3

State-of-the-art review of near-term freshwater forecasting literature published between 2017 and 2022

Mary E Lofton

Dexter W Howard

R Quinn Thomas

Cayelan C Carey

2023/1

Above-ground tree carbon storage in response to nitrogen deposition in the U.S. is heterogeneous and may have weakened

Communications Earth & Environment

Christopher M Clark

R Quinn Thomas

Kevin J Horn

2023/2/14

Assessing Ecosystem State Space Models: Identifiability and Estimation

Journal of Agricultural, Biological and Environmental Statistics

JW Smith Jr

Leah R Johnson

Robert Q Thomas

2023/9

Hacking Limnology Workshops and DSOS23: Growing a Workforce for the Nexus of Data Science, Open Science, and the Aquatic Sciences

Michael F Meyer

Merritt E Harlan

Robert T Hensley

Qing Zhan

Nahit S Börekçi

...

2023/1/1

Parameterizing Lognormal state space models using moment matching

Environmental and Ecological Statistics

John W Smith

R Quinn Thomas

Leah R Johnson

2023/9

A community convention for ecological forecasting: output files and metadata v1.0

Ecosphere

Michael C Dietze

R Quinn Thomas

Jody Peters

Carl Boettiger

Gerbrand Koren

...

2023/11

See List of Professors in R. Quinn Thomas University(Virginia Polytechnic Institute and State University)

Co-Authors

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