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| Titel |
Validation of modelled forest biomass in Germany using BETHY/DLR |
| VerfasserIn |
M. Tum, M. Buchhorn, K. P. Günther, B. C. Haller |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1991-959X
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 4, no. 4 ; Nr. 4, no. 4 (2011-11-18), S.1019-1034 |
| Datensatznummer |
250001918
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| Publikation (Nr.) |
 copernicus.org/gmd-4-1019-2011.pdf |
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| Zusammenfassung |
| We present a new approach to the validation of modelled forest Net Primary
Productivity (NPP), using empirical data on the mean annual increment, or
MAI, in above-ground forest stock. The soil-vegetation-atmosphere-transfer
model BETHY/DLR is used, with a particular focus on a detailed
parameterization of photosynthesis, to estimate the NPP of forest areas in
Germany, driven by remote sensing data from VEGETATION, meteorological data
from the European Centre for Medium-Range Weather Forecasts (ECMWF), and
additional tree coverage information from the MODIS Vegetation Continuous
Field (VCF). The output of BETHY/DLR, Gross Primary Productivity (GPP), is
converted to NPP by subtracting the cumulative plant maintenance and growth
respiration, and then validated against MAI data that was calculated from
German forestry inventories. Validation is conducted for 2000 and 2001 by
converting modelled NPP to stem volume at a regional level. Our analysis
shows that the presented method fills an important gap in methods for
validating modelled NPP against empirically derived data. In addition, we
examine theoretical energy potentials calculated from the modelled and
validated NPP, assuming sustainable forest management and using
species-specific tree heating values. Such estimated forest biomass energy
potentials play an important role in the sustainable energy debate. |
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