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University of Lund, Dep. Physical Geography and Ecosystem Analysis

Short name

LPJ-GUESS is a well-evaluated tool to explore the coupled dynamics of climate, ecosystems and land use under future greenhouse forcing and socioeconomic development. It includes the Spitfire module to model fire occurrence and -spread based on weather conditions, ignition sources and vegetation fuel available for burning. Forest gap-model features in LPJ-GUESS make it particularly suitable to study climate-fire-vegetation interactions on ecosystem to landscape scale. LUND will work in WPs 2.1, 2.2 and 2.3 to: A) adopt the model's vegetation parameterization to the Mediterranean/North African environment using site observations available to FUME; B) contribute analyses of potential natural vegetation cover change in response to climate change, specifically concentrating on the local to regional scale; C) provide future and past fire simulations and interactions with ecological vegetation features on landscape level, for instance the shift from fire intolerant towards fire prone vegetation in new fire prone areas.
Work packages
AA leads the INES group on land-surface interactions in the climate system; in 2009 she is visiting full professor at Helsinki University Physics Department. Her research group was initiated by a 6th FP Marie Curie Excellence grant. AA coordinates the work package on fire-climate-carbon cycle interactions in the FP6 STREP CarboAfrica and is co-leader of the Integration/modeling unit of LUCCI. In CARBO-Africa she was responsible to adopt the Spitfire module in LPJ-GUESS to be applied for the African continent.
Brief description of the legal entity
INES has a long track record in multidisciplinary studies of climate and environmental change impacts on terrestrial ecosystems and vice versa. The department coordinates the Linnaeus Excellence Centre for Studies of Carbon Cycle and Climate Interactions (LUCCI), funded by the Swedish Research Council. The modeling group at INES is developing the ecosystem modeling framework LPJ-GUESS. At present 15 senior researchers, post-docs and doctoral students contribute to model development at INES, of a total number of 66 staff.


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