US-HRC: Humnoke Farm Rice Field – Field C
Tower_team: | |
PI: | Michele L. Reba michele.reba@ars.usda.gov - USDA, ARS, DELTA WATER MANAGEMENT RESEARCH UNIT |
AncContact: | Benjamin R. K. Runkle brrunkle@uark.edu - University of Arkansas |
Lat, Long: | 34.5888, -91.7517 |
Elevation(m): | — |
Network Affiliations: | AmeriFlux, Phenocam |
Vegetation IGBP: | CRO (Croplands: Lands covered with temporary crops followed by harvest and a bare soil period (e.g., single and multiple cropping systems). Note that perennial woody crops will be classified as the appropriate forest or shrub land cover type.) |
Climate Koeppen: | Cfa (Humid Subtropical: mild with no dry season, hot summer) |
Mean Annual Temp (°C): | 16.7 |
Mean Annual Precip. (mm): | 1250 |
Flux Species Measured: | CO2, H2O, CH4 |
Years Data Collected: | 2015 - Present |
Years Data Available: | AmeriFlux BASE 2015 - 2017 Data Citation |
Data Use Policy: | AmeriFlux CC-BY-4.0 Policy1 |
Description: | Conventional flood irrigation method on a rice field under continuous rice operation for 50 years |
URL: | — |
Research Topics: | Agriculture, carbon balance, water balance |
Acknowledgment: | — |
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US-HRC: Humnoke Farm Rice Field – Field C
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DOI(s) for citing US-HRC data
Data Use Policy: AmeriFlux CC-BY-4.0 License
This site’s data can also be used under the more restrictive AmeriFlux Legacy Policy.
The AmeriFlux Legacy Policy must be followed if US-HRC data are combined with data from sites that require the AmeriFlux Legacy Policy.
- AmeriFlux BASE: https://doi.org/10.17190/AMF/1543375
Citation: Michele L. Reba (2021), AmeriFlux BASE US-HRC Humnoke Farm Rice Field – Field C, Ver. 3-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1543375
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US-HRC: Humnoke Farm Rice Field – Field C
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US-HRC: Humnoke Farm Rice Field – Field C
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US-HRC: Humnoke Farm Rice Field – Field C
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Year | Publication |
---|---|
2023 | Leavitt, M., Moreno-García, B., Reavis, C. W., Reba, M. L., Runkle, B. R. (2023) The Effect Of Water Management And Ratoon Rice Cropping On Methane Emissions And Yield In Arkansas, Agriculture, Ecosystems &Amp; Environment, 356, 108652. https://doi.org/10.1016/j.agee.2023.108652 |
2019 | Runkle, B. R., Suvočarev, K., Reba, M. L., Reavis, C. W., Smith, S. F., Chiu, Y., Fong, B. (2019) Methane Emission Reductions From The Alternate Wetting And Drying Of Rice Fields Detected Using The Eddy Covariance Method, Environmental Science & Technology, 53(2), 671-681. https://doi.org/10.1021/acs.est.8b05535 |
2017 | Benjamin R. K. Runkle, James R. Rigbyb, Michele L. Rebac, Saseendran S. Anapallid, Joydeep Bhattacharjeee, Ken W. Kraussf, Lu Liangg, Martin A. Locke, Kimberly A. Novick, Ruixiu Suid, Kosana Suvočareva and Paul M. White (2017) Delta-Flux: An Eddy Covariance Network for a Climate-Smart Lower Mississippi Basin, Agricultural & Environmental Letters, 2(1), 170003 - 170003. https://doi.org/10.2134/ael2017.01.0003 |
US-HRC: Humnoke Farm Rice Field – Field C
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US-HRC: Humnoke Farm Rice Field – Field C
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