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Titel |
GHG fluxes in a subtropical European wetland (Southeast Spain) |
VerfasserIn |
Penelope Serrano-Ortíz, Lars Kutzbach, Enrique P. Sánchez-Cañete, Oscar Perez-Priego, Carla Bockermann, Jorge Castro, Benjamin Runkle, Armina Avagyan, Néstor Fernández, Sara Marañón-Jiménez, Andrew S. Kowalski |
Konferenz |
EGU General Assembly 2013
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Medientyp |
Artikel
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Sprache |
Englisch
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Digitales Dokument |
PDF |
Erschienen |
In: GRA - Volume 15 (2013) |
Datensatznummer |
250071935
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Zusammenfassung |
Wetlands accumulate a significant portion of the global soil carbon pool and are considered
important carbon sinks. However, it is still unknown whether wetlands will convert from
long-term carbon sinks to sources due to global warming and other anthropogenic effects.
The eddy covariance technique is one of the most commonly used methods worldwide to
measure GHG gas exchanges from “flux towers”, forming a FLUXNET community. Several
wetland sites are already included in the European FLUXNET community providing
continuous information about CO2, H2O and CH4 exchanges over a temperature and
precipitation gradient from northern Scandinavia to southern Germany. However, there is a
lack of information about the behaviour of wetlands located in the south of Europe. The
primary objective of this study is to analyse the ecosystem-scale water and carbon (CO2 and
CH4) fluxes from a restored wetland located in southern Spain in a sub-humid warm
climate. This restored wetland, with Phragmites australis as the dominant species, is
characterised by a mean annual temperature of 16ºC and mean annual precipitation of ca.
470 mm, with a very dry summer. In June 2012, an eddy covariance tower was
installed to measure fluxes of H2O, CO2 and CH4 to evaluate possible effects of global
warming on the role of such ecosystems as carbon sinks. We also analyse such effects
on respiratory and photosynthetic processes through flux partitioning methods,
calibrated using independent measurements. Here we present preliminary GHG fluxes at
the site together with an evaluation of the dominant processes and their drivers. |
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