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| Titel |
Combining MODIS data and tower based measurements to estimate net ecosystem carbon exchange for the Republic of Ireland |
| VerfasserIn |
K Murphy, F. Clement, G. Kiely |
| Konferenz |
EGU General Assembly 2012
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 14 (2012) |
| Datensatznummer |
250071386
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| Zusammenfassung |
| A number of previous studies have employed Fluxnet data in developing models to upscale
localised eddy covariance (EC) footprints in order to determine net ecosystem carbon
exchange (NEE) over regional or national scales. This study combined measured EC flux data
(from three EC stations in Ireland over the period 2002-2007) with data from the Moderate Resolution
Imaging Spectrometer (MODIS) onboard the Terra (EOS-AM) Satellite, and land cover maps
(Corine Land Cover for 2006) to develop predictive NEE models using an adapted
regression tree method allowing upscaling to wider areas with MODIS products.
Separate models were developed for the four main ecosystem types found in the
Republic of Ireland: grassland, peatland, forestry and cropland. The NEE models
showed promising correlations with the EC measurements of NEE for training
and predictive data sets. Excluding urban and water areas, the results indicate that
Ireland’s terrestrial ecosystems are a sink for CO2 of -1.3Mg C-CO2 ha-1 y-1
giving a national estimate of -9.3 Tg C-CO2 y-1. This uptake compares to the
national inventory estimate for emissions from agriculture of 5.03 Tg C-CO2 eq y-1.
The models also captured well the spatiotemporal variations over the Republic of
Ireland relative to the measured NEE in different ecosystem types over different
seasons. The method shows potential in accounting for carbon fluxes over large areas. |
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