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Carbon Dioxide Fluxes on a Soybean Field in Argentina: Influence of Crop Growth Stages
CO 2 fluxes were measured in a soybean field in the Province of Buenos Aires, Argentina, with an eddy covariance system consisting of a CO 2 /H 2 O infrared gas analyzer and a sonic anemometer. The measurements were carried out between 24 th December 2008 and 31 st March 2009. The measurements conti...
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Published in: | The open agriculture journal 2010-12, Vol.4 (1), p.58-63 |
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Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Citations: | Items that cite this one |
Online Access: | Get full text |
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Summary: | CO
2
fluxes were measured in a soybean field in the Province of Buenos Aires, Argentina, with an eddy covariance
system consisting of a CO
2
/H
2
O infrared gas analyzer and a sonic anemometer. The measurements were carried out
between 24
th
December 2008 and 31
st
March 2009. The measurements continued to be carried out even after the growing
season, in order to capture data on the CO
2
fluxes of dying plants and weed plants established after it. Changes in phenology
and botanical composition were accompanied with important changes in CO2 flux values and on the relative importance
exercised by three meteorological variables selected to describe the environmental condition: solar radiation, air
temperature and vapor pressure deficit (VPD). The maximum CO2 fluxes were recorded before noon and reached values
up to approximately 1.0 mg CO
2
m
-2
s
-1
, having a relation with the global radiation and VPD values. This low value was
probably associated with the few rain registered during the spring. When senescence took place, respiration processes became
more important and the field acted as a source of CO
2
. A weak relation was found then with the environmental conditions.
Carbon dioxide uptake was reestablished when the soil was covered by weeds but at a much lower rate. The
maximum flux value was then around 0.3 mg m
-2
s
-1
. Carbon dioxide flux was strongly associated with global radiation,
which explained 80% of the variance. |
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ISSN: | 1874-3315 1874-3315 |
DOI: | 10.2174/1874331501004010058 |