HR: 17:40h
AN: B24A-05    [Abstracts]
TI: Implementation of a Multi-Layer Soil Model Into Biome-BGC - Calibration and Application
AU: * Puhlmann, M
EM: martina.puhlmann@zalf.de
AF: Leibniz-Centre for Agricultural Landscape Research, LSA, Eberswalder Str. 84, Muencheberg, 15374, Germany
AU: Jochheim, H
EM: hjochheim@zalf.de
AF: Leibniz-Centre for Agricultural Landscape Research, LSA, Eberswalder Str. 84, Muencheberg, 15374, Germany
AB: As a consequence of global warming the average annual temperature in the federal state of Brandenburg, Germany will probably increase by about 3 degrees Celsius until the end of the current century. Furthermore, precipitation is expected to shift from summer to winter. 35 % of Brandenburg is covered with forests, predominantly pine (P. sylvestris) accompanied by oak (Q. robur, Q. petraea) and beech (F. sylvatica). The forests are mainly located at sandy and loamy substrates with a low available water capacity. Hence, with an increase in temperature and a decrease in summer precipitation, water stress will occur more frequently or prolonged. This may lead to an alteration in groundwater recharge and tree composition and will be important for establishing sustainable forest management concepts. For an improved estimation of the potential effects of increased water stress on forests in Brandenburg, the one layer soil model of the biogeochemical and ecophysiological model Biome-BGC was replaced by a one dimensional multi-layer approach with an arbitrary number of soil layers of variable layer thickness. The model changes cover particularly soil hydrology and soil temperature processes, but also decomposition and the distribution of soil organic matter. Additional changes were implemented for enabling downward root growth and an improved interaction between vegetation and soil related water processes. The improved Biome-BGC model was calibrated by using data of a beech and a pine stand in north-eastern Brandenburg. Besides stand information (C and N stocks, growth measurements, etc.) and detailed soil information (horizon specific soil parameters), sap flow and throughfall measurements were available. Weather data were provided by nearby weather stations. With a focus on soil water budget, the most important results of the calibration will be shown. Furthermore, a global warming scenario simulation was carried out using a data set which is based on the A1B IPCC-scenario. The predicted changes in water budget and potential restrictions for the above mentioned tree species are presented.
DE: 0439 Ecosystems, structure and dynamics (4815)
DE: 0466 Modeling
DE: 1637 Regional climate change
DE: 1876 Water budgets
DE: 4805 Biogeochemical cycles, processes, and modeling (0412, 0414, 0793, 1615, 4912)
SC: Biogeosciences [B]
MN: 2007 Joint Assembly