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Gewählte Doctoral Thesis:

Sishir Gautam (2012): Modelling the Carbon Dynamics in the Congo Basin Rainforests of Gabon.
Doctoral Thesis - Institut für Waldbau (WALDBAU), BOKU-Universität für Bodenkultur, pp 167. UB BOKU obvsg

Data Source: ZID Abstracts
Reducing Emissions from Deforestation and forest Degradation (REDD) has been initiated to increase the carbon balance in tropical forests. It has been further extended to REDD+ to assure forest conservation, sustainable forest management and carbon enhancement. Effective implementation of REDD+ requires an accurate assessment of forest carbon pools and their dynamics. Lack of reliable carbon data and consistent carbon estimation methods in Gabon, however, show difficulties in quantifying their contribution to climate change mitigation. Developing the Biome BGC model as a diagnostic tool in assessing carbon dynamics in these forests might be an option. For this, carbon pools of a potentially intact forest in Birougou, Gabon were estimated. Forest structure, vegetation composition and soil carbon at different depths were assessed to understand major human disturbances on the forest. Carbon isotopes analyses of current vegetation and soil carbon were carried out to estimate the ancient origin of the forest. Finally, the Biome BGC model was parameterized and validated for this forest using observed carbon pools and the findings of field observations and carbon isotope analysis. Results exhibited that the forest originated at the latest in the Holocene climate optimum and lacked major human disturbances. It confirms that this forest can be used as an example of a climatically stable mature rainforest unaffected by human activity. The parameters of carbon pools, therefore, are of potential value in the broader region. The model using default eco-physiological parameters of evergreen tropical forest and Congo Basin using constant mortality did not explain the dynamics of this forest. The inclusion of a dynamic mortality routine in the Congo Basin parameters, however, exhibited consistent and unbiased prediction. The model can be used as a diagnostic tool to assess the temporal dynamics of carbon and the physiological processes of rainforests in Gabon.

Betreuer: Hasenauer Hubert
1. Berater: Katzensteiner Klaus

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