Contrasting CO 2 and water vapour fluxes in dry forest and pasture sites of central Argentina

Ecohydrology ◽  
2020 ◽  
Vol 13 (8) ◽  
Author(s):  
Marcelo D. Nosetto ◽  
Emanuel Luna Toledo ◽  
Patricio N. Magliano ◽  
Patricia Figuerola ◽  
Lisandro J. Blanco ◽  
...  
Keyword(s):  
Water Vapour ◽  
Dry Forest ◽  
Central Argentina ◽  
Water Vapour Fluxes

scholarly journals Functional strategies and distribution of climbing plant communities in different vegetation patches in a subtropical dry forest, central Argentina

2017 ◽  
Vol 12 (1) ◽  
pp. 23-33 ◽  
Author(s):  
María Cecilia Ferrero ◽  
Sebastián R Zeballos ◽  
Juan I Whitworth-Hulse ◽  
Melisa A Giorgis ◽  
Diego E Gurvich
Keyword(s):  
Plant Communities ◽  
Dry Forest ◽  
Central Argentina ◽  
Climbing Plant ◽  
Vegetation Patches

scholarly journals The Effect of Night Temperature on Co2 Assimilation, Transpiration, and Water Use Efficiency in Agave Americana L

1973 ◽  
Vol 26 (4) ◽  
pp. 705 ◽  
Author(s):  
TF Neales
Keyword(s):  
Water Use Efficiency ◽  
Water Vapour ◽  
Water Use ◽  
Nutrient Solution ◽  
Co2 Assimilation ◽  
Night Temperature ◽  
Agave Americana ◽  
Use Efficiency ◽  
Water Vapour Fluxes

The CO2 and water vapour fluxes arising from the tops of a plant of A. americana, growing in nutrient solution, were continuously measured at night temperatures of 15, 25, and 36�C, the day temperature being held constant at 25�C.

Water vapour fluxes and their impact under elevated CO 2 in a C4‐tallgrass prairie

1997 ◽  
Vol 3 (3) ◽  
pp. 189-195 ◽  
Author(s):  
CLENTON OWENSBY ◽  
JAY HAM ◽  
ALAN KNAPP ◽  
DALE BREMER ◽  
LISA AUEN
Keyword(s):  
Water Vapour ◽  
Tallgrass Prairie ◽  
Water Vapour Fluxes

Inter-annual and seasonal variations of energy and water vapour fluxes above a Pinus sylvestris forest in the Siberian middle taiga

Tellus B ◽  
2002 ◽  
Vol 54 (5) ◽  
pp. 537-551 ◽  
Author(s):  
Nadejda M. Tchebakova ◽  
Olaf Kolle ◽  
Daniil Zolotoukhine ◽  
Almut Arneth ◽  
Julie M. Styles ◽  
...  
Keyword(s):  
Pinus Sylvestris ◽  
Water Vapour ◽  
Seasonal Variations ◽  
Middle Taiga ◽  
Water Vapour Fluxes

scholarly journals EddyUH: an advanced software package for eddy covariance flux calculation for a wide range of instrumentation and ecosystems

2016 ◽  
Author(s):  
I. Mammarella ◽  
O. Peltola ◽  
A. Nordbo ◽  
L. Järvi ◽  
Ü. Rannik
Keyword(s):  
Carbon Dioxide ◽  
Water Vapour ◽  
Eddy Covariance ◽  
Closed Path ◽  
Software Packages ◽  
Spectral Correction ◽  
Open Path ◽  
Methane Fluxes ◽  
Water Vapour Fluxes ◽  
Processing Steps

Abstract. We have carried out an inter-comparison between EddyUH and EddyPro®, two public software packages for post-field processing of eddy covariance data. Datasets including carbon dioxide, methane and water vapour fluxes measured over two months at a wetland in Southern Finland and carbon dioxide and water vapour fluxes measured over three months at an urban site in Helsinki, were processed and analysed. The purpose was to estimate the flux uncertainty due to the use of different software packages and to evaluate the most critical processing steps, determining the largest deviations in the calculated fluxes. Turbulent fluxes calculated with a reference combination of processing steps were in good agreement, the systematic difference between the two software packages being up to 2% and 6.7% for half-hour and cumulative sum values, respectively. The raw data preparation and processing steps were consistent between the software packages, and most of the deviations in the estimated fluxes were due to the flux corrections. Among the different calculation procedures analysed, the spectral correction had biggest impact for closed-path latent heat fluxes, reaching nocturnal median value of 15% at the wetland site. We found up to 43% median value of deviation (with respect to the run with all corrections included) if closed path carbon dioxide flux is calculated without the dilution correction, while the methane fluxes were up to 10% lower without both dilution and spectroscopic corrections. The density (and spectroscopic) correction was the most critical step for open-path systems. However, we found also large spectral correction factors for the open-path methane fluxes, due to the sensor separation effect.

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