Eddy correlation measurements to visualize CO2 and water vapor concentrations and fluxes
Keywords:Eddy correlation/covariance, CO2 -Flux, CO2 conc, water vapor, atmospheric gas fluxes, atmospheric gas concentration
Eddy correlation measures gas exchange between canopy and the overlying atmosphere by evaluating the correlation between fluctuations in the gas-of-interest’s mixing ratio and the vertical wind velocity and considered the most accurate approach for measuring gas fluxes, mostly carbon dioxide and water vapor under ideal homogeneous conditions. It has been used in micrometeorology for decades to quantify mass and energy transfer between urban, natural and agricultural ecosystems and the atmosphere. We assessed its application under various—homogeneous and non-homogeneous—conditions. Our study indicates that fluxes of CO2 and H2O correlate well with plants activity only when turbulent conditions are present, in open fields. At such conditions, direct measurements of concentration of those gases are not an accurate indicator for plants activity. On the other hand, in closed systems (e.g. greenhouses)- fluxes as measured by an eddy correlation system can't accurately be related to the state of the vegetation, but the fluctuations in the concentrations of CO2 and H2O directly correlate to the actual plants activity. Adapting conditions in greenhouses to limiting factors as temperature, increases CO2 sequestration by plants, and may increase productivity
Assouline, S., and Mahrer, Y. (1993). Evaporation from Lake Kinneret: 1. Eddy correlation system measurements and energy budget estimates. Water Resour. Res., 29(4): 901–910. https://doi.org/10.1029/92WR02432
Baldocchi, D. D. (2020). How eddy covariance flux measurements have contributed to our understanding of Global Change Biology. Glob. Chang. Biol., 26(1): 242–260. https://doi.org/10.1111/gcb.14807
Baldocchi, D., and Meyers, T. (1998). On using eco-physiological, micrometeorological and biogeochemical theory to evaluate carbon dioxide, water vapor and trace gas fluxes over vegetation: a perspective. Agric. For. Meteorol., 90(1–2): 1–25. https://doi.org/10.1016/S0168-1923(97)00072-5
Bassham, J. A., and Lambers, H. (2022). Photosynthesis | Definition, Formula, Process, Diagram, Reactants, Products, & Facts | Britannica. Encyclopedia Britannica. https://www.britannica.com/science/photosynthesis
Burba, G. (2021). Atmospheric flux measurements. In M. W. S. Weidong Chen, Dean S. Venables (Ed.), Advances in Spectroscopic Monitoring of the Atmosphere (pp. 443–520). Elsevier. https://doi.org/10.1016/B978-0-12-815014-6.00004-X
Burba, G., and Anderson, D. (2010). A brief practical guide to eddy covariance flux measurements: principles and workflow examples for scientific and industrial applications (LI-COR Biosciences (ed.)). LI-COR Biosciences.
Burba, G., Madsen, R., and Feese, K. (2013). Eddy Covariance Method for CO2 Emission Measurements in CCUS Applications: Principles, Instrumentation and Software. Energy Procedia, 40: 329–336. https://doi.org/10.1016/J.EGYPRO.2013.08.038
Camuffo, D. (2014). Atmospheric Stability and Pollutant Dispersion. In Dario Camuffo (Ed.), Microclimate for Cultural Heritage (2nd ed., pp. 245–282). Elsevier. https://doi.org/10.1016/B978-0-444-63296-8.00008-1
Elimelech, D. (2022). Not just a spa from nature: the surprising use of the “hot geysers” in the north. The Limited Times & Walla News. https://newsrnd.com/life/2022-02-20-not-just-a-spa-from-nature--the-surprising-use-of-the-%22hot-geysers%22-in-the-north---walla!-tourism.Bk8oQNgg9.html
Er-Raki, S., Chehbouni, A., Ezzahar, J., Khabba, S., Boulet, G., Hanich, L., and Williams, D. (2009). Evapotranspiration partitioning from sap flow and eddy covariance techniqu es for olive orchards in semi-arid region. Acta Hortic., 846: 201–208. https://doi.org/10.17660/ActaHortic.2009.846.21
Gu, L., Massman, W. J., Leuning, R., Pallardy, S. G., Meyers, T., Hanson, P. J., Riggs, J. S., Hosman, K. P., and Yang, B. (2012). The fundamental equation of eddy covariance and its application in flux measurements. Agric. For. Meteorol., 152: 135–148. https://doi.org/10.1016/J.AGRFORMET.2011.09.014
Harris, D. C. (2010). Charles David Keeling and the Story of Atmospheric CO 2 Measurements. Anal. Chem., 82(19): 7865–7870. https://doi.org/10.1021/ac1001492
Jia, X., Dukes, M. D., and Jacobs, J. M. (2009). Bahiagrass crop coefficients from eddy correlation measurements in central Florida. Irrig. Sci., 28(1): 5–15. https://doi.org/10.1007/s00271-009-0176-x
Liang, S., and Wang, J. (2020). Estimate of vegetation production of terrestrial ecosystem. In S. Liang & J. Wang (Eds.), Advanced Remote Sensing (2nd ed.). Academic Press. https://doi.org/10.1016/B978-0-12-815826-5.00015-5
Mahrer, Y., and Rytwo, G. (1991). Modelling and measuring evapotranspiration in a daily drip irrigated cotton field. Irrig. Sci., 12(1): 13–20.
Metzger, J., Nied, M., Corsmeier, U., Kleffmann, J., and Kottmeier, C. (2018). Dead Sea evaporation by eddy covariance measurements vs. aerodynamic, energy budget, Priestley–Taylor, and Penman estimates. Hydrol. Earth Syst. Sci., 22(2): 1135–1155. https://doi.org/10.5194/hess-22-1135-2018
Mizutani, K. (1997). Applicability of the eddy correlation method to measure sensible heat transfer to forest under rainfall conditions. Agric. For. Meteorol., 86(3–4): 193–203. https://doi.org/10.1016/S0168-1923(97)00012-9
Monteith, J. L., and Unsworth, M. H. (2013). Micrometeorology: (i) Turbulent Transfer, Profiles, and Fluxes. In M. H. U. John L. Monteith (Ed.), Principles of Environmental Physics (4th ed., pp. 289–320). Academic Press. https://doi.org/10.1016/B978-0-12-386910-4.00016-0
Moore, P. (2015). Should We Celebrate Carbon Dioxide ? The Global Warming Policy Foundation. http://www.thegwpf.org/patrick-moore-should-we-celebrate-carbon-dioxide/
Moorhead, J. E. (2018). Field-Scale Estimation of Evapotranspiration, Advanced Evapotranspiration Methods and Applications. Daniel Bucur, IntechOpen. https://doi.org/DOI: 10.5772/intechopen.80945
Moss, D. N. (1962). The Limiting Carbon Dioxide Concentration for Photosynthesis. Nature, 4017: 587–588.
Nisbet, E. (2007). Cinderella science. Nature, 450 (7171): 789–790. https://doi.org/10.1038/450789a
Odi-Lara, M., Campos, I., Neale, C., Ortega-Farías, S., Poblete-Echeverría, C., Balbontín, C., and Calera, A. (2016). Estimating Evapotranspiration of an Apple Orchard Using a Remote Sensing-Based Soil Water Balance. Remote Sens., 8(3): 253. https://doi.org/10.3390/rs8030253
Otero, A., Berger, A. G., Morales, X., and Calistro, R. (2015). Eddy Covariance Estimates of Evapotranspiration in Irrigated and Rainfed Soybean in Uruguay. Agrociencia, 19(3): 8. https://doi.org/10.2477/VOL19ISS3PP8
Stern, R. (2018). Early Ripening of Lychee by Heating: Using geothermal water in the Hula Valley area. Israel Agricultural Technology & Innovations Hub. https://israelagri.com/early-ripening-of-lychee-by-heating/
Tans, P., and Keeling, R. (2022). Global Monitoring Laboratory - Carbon Cycle Greenhouse Gases. Scripps Institution of Oceanography. https://gml.noaa.gov/ccgg/trends/data.html
Wohlfahrt, G., and Gu, L. (2015). The many meanings of gross photosynthesis and their implication for photosynthesis research from leaf to globe. Plant. Cell Environ., 38(12): 2500–2507. https://doi.org/10.1111/pce.12569
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