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| Titel |
LandscapeDNDC used to model nitrous oxide emissions from soils under an oak forest in southern England |
| VerfasserIn |
Shirley Cade, Kevin Clemitshaw, David Lowry, Sirwan Yamulki, Eric Casella, Saul Molina, Edwin Haas, Ralf Kiese |
| 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 |
250078433
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| Zusammenfassung |
| Nitrous oxide (N2O) is an important greenhouse gas, having a global warming potential of
approximately 300 times that of carbon dioxide (CO2), and plays a significant role in
depleting stratospheric ozone. Its principal source is microbial activity in soils and waters.
Measured values of N2O emissions from soils show high temporal dynamics and a large
range as a result of inter-related physico-chemical factors affecting the microbial processes,
thus making predictions difficult. Emissions often occur in pulses following re-wetting,
frost-thaw or management events such as N-fertilization, which further complicates
predictions. Process-based models have been developed to help understand this emission
variability and as potential tools for IPCC Tier 3 reporting on national emission
inventories.
Forests are promoted as sinks for CO2 and can be used as renewable sources of energy or
longer term CO2 storage if timber is used in products such as in construction and furniture,
provided appropriate replanting takes place. It is important that the effect of any changes in
forest management and land use as a result of a desire to reduce CO2 emissions does not
increase N2O emissions from forest soils, which are still poorly understood, compared to
agricultural soils.
LandscapeDNDC (Haas et al 2012) has been developed as a process-oriented model,
based on the biogeochemical model, DNDC (Li et al, 1992), in order to simulate
biosphere-atmosphere-hydrosphere exchanges at site and regional scales. It can
model the carbon and nitrogen turnover and associated greenhouse gas (GHG)
emissions of forest, agricultural and grassland ecosystems, and allows modelling of
impacts of regional land use change over time. This study uses data (including
forest growth, GHG emissions and soil moisture) from an oak forest, known as the
Straits Enclosure, at Alice Holt in Hampshire, where extensive measurements have
been made by Forest Research since 1995. It involves validation of the site scale
model and internal parameters of LandscapeDNDC for use with an oak forest in
SE England and as a result facilitates the broadening of its application. Modelled
N2O soil emissions are compared with measurements from soil chambers in the
forest.
HAAS, E., KLATT, S., FRÖHLICH, A., KRAFT, P., WERNER, C., KIESE, R., GROTE, R.,
BREUER, L. and BUTTERBACH-BAHL, K., 2012. LandscapeDNDC: a process model for
simulation of biosphere–atmosphere–hydrosphere exchange processes at site and regional
scale. Landscape Ecology, , pp. 1-22.
LI, C., FROLKING, S. and FROLKING, T.A., 1992. A model of nitrous oxide evolution
from soil driven by rainfall events: 1. Model structure and sensitivity. J.Geophys.Res, 97(D9),
pp. 9759-9776. |
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