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Terrestrial Systems Ecology: Research



Present Research Activities and Research Perspectives

Prime focus of Terrestrial Systems Ecology research is on: In the recent years the Systems Ecology' research group emphasized the following three aspects: Our research forms also part of the following national and international research programmes:

 

Behavior of terrestrial ecosystems in a changing climate

ForClimSense

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 ÒCase Studies in Bioclimatic Scenario DerivationÓ). 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.

ForAgroClim

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.

Bioclimatic Scenario Derivation

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 ÒdownscalingÓ 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.

RAMSES - Methodology of computer-assisted Research Aids for Modeling and Simulation of Environmental Systems

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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Terrestrial Systems Ecology     Institute of Terrestrial Ecology (ITÖ)
Department of Environmental Sciences     ETHZ

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