Benjamin R. K. Runkle

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    A[Benjamin R. K. Runkle]
    AC["Associated Concepts (25)"]
    AW["Authored Works (11)"]
    CA["Linked Co-Authors (12)"]
    CI["Linked Collaborating Institutions (17)"]
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ORCiD

https://orcid.org/0000-0002-2583-1199

OpenAlex ID

https://openalex.org/A5039730099 (API record)

Associated Concepts [?]

• Biology
• Ecology
• Environmental science
• Geology
• Geography
• Physics
• Oceanography
• Engineering
• Ecosystem
• Chemistry
• History
• Archaeology
• Organic chemistry
• Mathematics
• Atmospheric sciences
• Geotechnical engineering
• Computer science
• Agronomy
• Eddy covariance
• Hydrology (agriculture)
• Greenhouse gas
• Economics
• Meteorology
• Materials science
• Botany

Authored Works

sorted by decreasing year, and then by display-name

• Understanding the Impacts of Alternative Management on Methane Emissions in US Rice
• The potential of in-situ phenology data to estimate satellite driven gross primary productivity of rice in Arkansas
• The importance of tree species and soil phosphorus in driving soil greenhouse gas emissions in humid, subtropical forests
• The adaptation of a hierarchical CH4 model for rice fields in Arkansas
• Methane Dynamics of Vegetation-Soil Interactions in Bald Cypress and Other Bottomland Hardwood Forests
• Methane Dynamics of Stems and Exposed Woody Root Structures in Bottomland Hardwood Forests of the Upper Mississippi Alluvial Valley
• Field-scale methane measurements from row irrigated rice in US Mid-South rice production
• Bias-corrected Crop Coefficients for Different Land Cover Types in the U.S. Mid-South derived from Eddy Covariance Measurements and the gridMET Dataset
• Temporal Variation in Rice Field Ebullitive Methane Fluxes as Derived from Violations of Scalar Similarity Using a Modified Wavelet Method for Eddy Covariance Observations
• Informing Nature-based Climate Solutions with the best-available science: a research agenda for the land-atmosphere flux community
• Estimating Crop Coefficients for Rice Fields in the U.S. Mid-South using Eddy Covariance Measurements and the gridMET Dataset

Linked Co-Authors

• Bin Peng
• C. Reavis
• Jitendra Kumar
• Kaiyu Guan
• Kimberly A. Novick
• Kyle S. Hemes
• M. E. Litvak
• M. L. Reba
• M. S. Torn
• Mallory L. Barnes
• Stefan Metzger
• Susanne Wiesner

Linked Collaborating Institutions

• Arkansas State University
• California State University, Hayward
• Desert Research Institute
• Indiana University, Bloomington
• Murray State University, Kentucky
• National Center for Atmospheric Research, Colorado
• Oak Ridge National Laboratory, Tennessee
• Stanford University, California
• U.S. Department of Agriculture
• University of Arkansas, Fayetteville
• University of California, Berkeley
• University of Illinois, Urbana-Champaign
• University of Memphis, Tennessee
• University of New Hampshire
• University of New Mexico
• University of Utah
• University of Wisconsin, Madison

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