Articles | Volume 10, issue 11
https://doi.org/10.5194/bg-10-6865-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-10-6865-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
02 Nov 2013
Research article |
| 02 Nov 2013
Comparison between eddy covariance and automatic chamber techniques for measuring net ecosystem exchange of carbon dioxide in cotton and wheat fields
K. Wang
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
C. Liu
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
X. Zheng
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
M. Pihlatie
Department of Physics, University of Helsinki, P.O. Box 48, Helsinki 00014, Finland
B. Li
Department of Soil and Water Sciences, China Agricultural University, Beijing 100094, China
S. Haapanala
Department of Physics, University of Helsinki, P.O. Box 48, Helsinki 00014, Finland
T. Vesala
Department of Physics, University of Helsinki, P.O. Box 48, Helsinki 00014, Finland
H. Liu
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Y. Wang
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
G. Liu
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
F. Hu
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
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48 citations as recorded by crossref.
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- Grazing alters net ecosystem C fluxes and the global warming potential of a subtropical pasture N. Gomez‐Casanovas et al. 10.1002/eap.1670
- Field investigation of carbon dioxide (CO 2 ) fluxes and organic carbon from a conserved paddy field of North–East India J. Dutta & S. Gokhale 10.1016/j.iswcr.2017.05.007
- Eddy covariance measurements of carbon dioxide and water fluxes in US mid-south cotton production B. Fong et al. 10.1016/j.agee.2019.106813
- Status of accuracy in remotely sensed and in-situ agricultural water productivity estimates: A review M. Blatchford et al. 10.1016/j.rse.2019.111413
- Net ecosystem carbon and greenhouse gas budgets in fiber and cereal cropping systems C. Liu et al. 10.1016/j.scitotenv.2018.08.048
- Intensification Differentially Affects the Delivery of Multiple Ecosystem Services in Subtropical and Temperate Grasslands S. Paudel et al. 10.2139/ssrn.4180435
- Temporal integration of soil N2O fluxes: validation of IPNOA station automatic chamber prototype P. Laville et al. 10.1007/s10661-017-6181-2
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- Towards pairing plot and field scale measurements in managed ecosystems: Using eddy covariance to cross-validate CO2 fluxes modeled from manual chamber campaigns A. Lucas-Moffat et al. 10.1016/j.agrformet.2018.01.023
- Short‐term effects of selected organic fertilizer sources on carbon dioxide fluxes and soil quality T. Mdlambuzi et al. 10.1002/jeq2.20174
- Reproducing CO2 exchange rates of a crop rotation at contrasting terrain positions using two different modelling approaches X. Specka et al. 10.1016/j.still.2015.05.007
- Carbon dioxide fluxes in a farmland ecosystem of the southern Chinese Loess Plateau measured using a chamber-based method F. Fang et al. 10.7717/peerj.8994
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- Potential of using spectral vegetation indices for corn green biomass estimation based on their relationship with the photosynthetic vegetation sub-pixel fraction L. Peroni Venancio et al. 10.1016/j.agwat.2020.106155
- Estimating Turbulent Fluxes in the Tropical Andes M. Córdova et al. 10.3390/atmos11020213
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