Benjamin R. K. Runkle Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Associate Professor
University of Arkansas at Fayetteville
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Biography and Research Information
OverviewAI-generated summary
Benjamin R. K. Runkle's research focuses on understanding and quantifying greenhouse gas fluxes from various ecosystems, particularly wetlands. He investigates the environmental factors that influence methane (CH4) emissions, examining these relationships across different temporal scales, from diurnal to seasonal patterns. His work utilizes data from large-scale projects like FLUXNET-CH4, which provides a global dataset for analyzing methane seasonality in freshwater wetlands.
Dr. Runkle has published research on the hysteresis observed in the temperature sensitivity of global wetland CH4 emissions and has explored methods for gap-filling eddy covariance methane flux data using machine learning models. His recent publications also address the role of vegetation type in predicting Arctic summer land surface energy budgets and the importance of assessing natural climate solutions at an ecosystem scale. He collaborates with several researchers at the University of Arkansas at Fayetteville, including Beatriz Moreno‐García and Gerardo Celis, on numerous publications.
Runkle holds a B.S.E. in Civil & Environmental Engineering from Princeton University and a Ph.D. in Civil & Environmental Engineering from UC-Berkeley. He also completed a post-doctoral fellowship at the University of Hamburg Institute of Soil Science. With a highly cited researcher designation, his work contributes to the broader understanding of ecosystem-level biogeochemical cycles and climate change.
Metrics
- h-index: 30
- Publications: 191
- Citations: 2,950
Selected Publications
- Concentrations and Health Implications of As, Hg, and Cd and Micronutrients in Rice and Emissions of CH<sub>4</sub> From Variably Flooded Paddies (2025) DOI
- Global Rice Paddy Inventory (GRPI): A High‐Resolution Inventory of Methane Emissions From Rice Agriculture Based on Landsat Satellite Inundation Data (2025) DOI
- Near-surface remote sensing applications for a robust, climate-smart measurement, monitoring, and information system (MMIS) (2025) DOI
- Proximal remote sensing: an essential tool for bridging the gap between high‐resolution ecosystem monitoring and global ecology (2025) DOI
- A model-data fusion approach for quantifying the carbon budget in cotton agroecosystems across the United States (2025) DOI
- Review and Synthesis: Peatland and Wetland Models Simulating CH <sub>4</sub> Production, CH <sub>4</sub> Oxidation and CH <sub>4</sub> Transport Pathways (2024) DOI
- Belowground plant allocation regulates rice methane emissions from degraded peat soils (2024) DOI
- Mitigating Toxic Metal Exposure Through Leafy Greens: A Comprehensive Review Contrasting Cadmium and Lead in Spinach (2024) DOI
- The effects of alternate wetting and drying irrigation on water use efficiency in Mid-South rice (2024) DOI
- We need a solid scientific basis for nature-based climate solutions in the United States (2024) DOI
- Post-processed data and graphical tools for a CONUS-wide eddy flux evapotranspiration dataset (2023) DOI
- Assessing the methane mitigation potential of innovative management in US rice production (2023) DOI
- Temperate silvopastures provide greater ecosystem services than conventional pasture systems (2023) DOI
- The effect of water management and ratoon rice cropping on methane emissions and yield in Arkansas (2023) DOI
- Deep learning solutions for mapping contour levee rice production systems from very high resolution imagery (2023) DOI
Collaborators
Researchers in the database who share publications