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Gewählte Master / Diploma Thesis:

Verena Stingl (2012): Modellierung von Stoffkreisläufen im Boden an zwei Österreichischen Waldstandorten mittels MoBiLE-DNDC2.
Master / Diploma Thesis - Institut für Bodenforschung (IBF), BOKU-Universität für Bodenkultur, pp 98. UB BOKU obvsg FullText

Data Source: ZID Abstracts
The current political debate on climate change focuses almost exclusively on the greenhouse gas CO2 and its anthropogenic emission. But next to it are other important climate active gases, most important methane (CH4) and the azotic gases NOx and N2O. For those, soil respectively soil microbiology are one of the determining factors with up to 60% of the total global emission (N2O, including agriculture related soil emissions). N2O and NO - but also CO2 - are emitted from soils as a product of the microbial decomposition of biomass. CH4 can be either produced or absorbed by the soil (forests mainly act as a sink for atmospheric CH4). In all cases, the related mechanisms and influencing parameters are highly complex. Ecosystem modeling helps to reveal those relationships, to understand the associated dynamics and allows making predictions on e.g. the influence of changed environmental conditions. For this work, the biogeochemical model MoBiLE-DNDC2 was used for modeling greenhouse gas emissions of soils for two Austrian forest sites (Achenkirch and Klausenleopoldsdorf). In a first step, the model was adapted to the specifics of both sites followed by a calibration of the soil conditions (moisture and temperature). The model was then calibrated on measured gas emissions of CO2, N2O and NO for both sites and validated through independent data sets (in the case of Achenkirch those were measurement data of soil heating experiments). Good fits were obtained for CO2 and N2O, for NO the results were not satisfactory. For Achenkirch the model was further used to simulate different climate scenarios. A considerable effect of a warmer atmosphere on greenhouse gas emissions was observed already for an increased temperature of as little as +1°C. For a warming of +3°C the model predicted increased emissions of CO2 and N2O of up to 20%.

Beurteilende(r): Zechmeister-Boltenstern Sophie

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