Bibcode
Sánchez, M. L.; Pardo, N.; Pérez, I.; García, M. A.; Paredes, V.
Referencia bibliográfica
EGU General Assembly 2012, held 22-27 April, 2012 in Vienna, Austria., p.1802
Fecha de publicación:
4
2012
Número de citas
0
Número de citas referidas
0
Descripción
Greenhouse gas emissions in Spain in 2008-2009 were 34.3 % higher than
the base-year level, significantly above the burden-sharing target of 15
% for the period 2008-2012. Based on this result, our country will need
to make a major effort to meet the committed target on time using
domestic measures as well as others foreseen in the Kyoto Protocol, such
as LULUFC activities. In this framework, agrofuels, in other words
biofuels produced by crops that contain high amounts of vegetable oil
such as sorghum, sunflower, rape seed and jatropha, appear to be an
interesting mitigation alternative. Bearing in mind the meteorological
conditions in Spain, sunflower and rape seed in particular are
considered the most viable crops. Sunflower cultivated surface in Spain
has remained fairly constant in recent years, in contrast to rapeseed
crop surface which, although still scarce, has followed an increasing
trend. In order to assess rape seed ability as a CO2 sink as well as
to describe GPP dynamic evolution, we installed an eddy correlation
station in an agricultural plot of the Spanish plateau. Measurements at
the plot consisted of 30-min NEE flux measurements (using a LI-7500 and
a METEK USA-1 sonic anemometer) as well as other common meteorological
variables. Measurements were performed from March to October. This
paper presents the results of the GPP 8-d estimated values using a Light
Use Efficiency Model, LUE. Input data for the LUE model were the FPAR
8-d products supplied by MERIS, the PAR in situ measurements, and a
scalar f varying, between 0 and 1, to take into account the reduction of
the maximum PAR conversion efficiency, ɛ0, under limiting
environmental conditions. The f values were assumed to be dependent on
air temperature and the evaporative fraction, EF, which was considered
as a proxy of soil moisture. ɛ0, a key parameter, which depends
on biome types, was derived through the results of a linear regression
fit between the GPP 8-d eddy covariance composites observed and the LUE
concurrent 8-d model estimates. The model fitted observed GPP 8-d
satisfactory (R2=91%). The ɛ0 value obtained, 2.777 g C m-2
MJ-1, was substantially higher than the typical values reported in the
literature for other types of agricultural crops.