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Our research forms also part of the following national and international
research programmes:
Recently completed research programmes:
Purpose: Furthering our understanding of the sensitivities of forest
ecosystems in the Alps to climatic change and the associated
uncertainties.
Approach: The dynamic forest patch-model ForClim has been developed
to assess the impact of future climatic changes on forests, particularly
in the alpine region. It simulates successional patterns in forest
ecosystems
by simulating explicitly all abiotic, i.e. mainly climatic, factors.
Currently ForClim
is validated in past climatic change scenarios using various proxy data
such as isotopes and pollen records for a time window covering the end
of
the last ice age. Results: Simulations at selected test sites revealed a
large spectrum of forest responses to the same changes in the climatic
input, which range from primary successional growth to complete
die-backs. Perspectives: The core of the current project is a
systematic
analysis of the sensitivity of species compositions to local climate
change scenarios and the related uncertainties (see project ”Case
Studies
in Bioclimatic Scenario Derivation’). Furthermore the cohort based
stochastic model ForClim is aggregated to a structured population
dynamics model. The latter will be used to describe tree species
migration in a complex topography forced by a changing climate.
Purpose: Modeling the carbon-dynamics in forest ecosystems under the influence of climatic change. Approach: The carbon fluxes exerted by a terrestrial ecosystem play a major role as biospheric feed-backs in the climatic system. The forest gap-model ForClim provides a basis to simulate the elemental fluxes of C and N. Given the importance of carbon, both in the context of the global carbon cycle and as a key element in ecosystem functioning via coupling with nutrients, ForClim is presently refined to include the major fluxes driving the C-cycle. Results: Soil-borne processes and soil organic carbon in particular have been recognized as major components of the carbon balance of forests. Parameters were identified and the structure of the soil carbon submodel has been improved. Perspectives: Integration of the soil submodel into the larger ForClim. Parametric sensitivity analysis. Validation of the new ForClim variant and model applications to assess quantitatively impacts of climatic change on boreal and temperate forests.
The project is aimed at developing, testing, and applying methods to
derive
future climate scenarios as required by specific ecosystem case studies
in
a mountainous region. Statistical ”downscaling’ techniques are developed
to
empirically link regional climatic changes to global climate variations,
and
then applied to estimate possible future shifts in regional climates
from
simulations with General Circulation Climate Models (GCMs). Stochastic
time series models and weather generators are used to describe climate
and
weather variability at different time scales. Interpolation techniques
are
developed to estimate base-line climate and climatic changes at any
location
of interest. In close collaboration with ecosystem modelers, the
resulting
application-specific bioclimatic scenarios are applied to study the
sensitivities
of ecosystem models, and to assess possible future ecosystem responses
in
the European Alps.
Based on the modeling and systems theory by Wymore (1984) and Zeigler (1976, 1984) we work on the theoretical basis and the needed mathematical formalisms to model and simulate ill-defined systems, which are often studied in environmental sciences in various contexts. Workstation-aided structureda, modular modeling and interactive simulation require software tools, to support an efficient and scientifically rigorous mathematical modeling and analysis of complex systems. Curent implementations of RAMSES tools are embedded in flexible system architectures to support not only text-book but real research needs typically arising in ecological modeling projects. Case studies (see other projects) allow to test the validity of the tools in supporting earlier as well as later phases of research. In earlier phases the emphasis is typically on the support of a flexible model development which can only be provided by an open, yet robust system architecture; in later phases the focus shifts to extensive simulation experiments such as sensitivity analysis, parameter identification, or optimal systems control. The current focus is on simulation servers (RASS) running within a local area network and supporting the batch execution of distributed simulation experiments of model definition programs originally developed only for an interactive environment.
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