System Analysis and Context Assessment.
Breckling, Broder, Jopp, Fred and Reuter, Hauke (2011) System Analysis and Context Assessment. In: Modelling Complex Ecological Dynamics. , ed. by Jopp, F., Reuter, Hauke ORCID: https://orcid.org/0000-0002-7751-9244 and Breckling, B.. Springer, Berlin, Heidelberg, pp. 43-54. ISBN 978-3-642-05028-2 DOI https://doi.org/10.1007/978-3-642-05029-9_4.
Full text not available from this repository.Abstract
System analysis is a theory-based approach with a wide range of practical applications for interdisciplinary co-operation that was derived from the General Systems Theory, as introduced by Bertalanffy and others. Formerly being developed as an analytical instrument, it has now become also an integral part of model development. The method starts with the delimitation of the investigated system from the surrounding context, the specification of its compartments, key factors, driving forces and how these interact with each other. To gain a conceptual overview, a cause–effect diagram of a system can be constructed to sketch the influences between the investigated components. Such a graphical examination can be refined in a next step into a flow-diagram (flow chart) that depicts the compartments, connections and controls of the system. This tool is of considerable help when developing model systems further on the basis of differential equations, as it enables to characterize time-dependent quantitative changes of the components as a result of their interactions. Over the recent years, object-oriented systems analysis (OOSA) has been established as a structural extension of the classical systems analysis. By using the object-oriented programming approach, OOSA enables to represent and subsequently simulate dynamic systems which change their structure over time. We provide examples of the resulting complex interaction networks from marine fisheries and functional plant architecture.
Document Type: | Book chapter |
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Programme Area: | UNSPECIFIED |
Research affiliation: | Integrated Modelling > Spatial Ecology and Interactions |
DOI: | https://doi.org/10.1007/978-3-642-05029-9_4 |
Date Deposited: | 30 Sep 2019 11:12 |
Last Modified: | 26 Mar 2024 13:29 |
URI: | http://cris.leibniz-zmt.de/id/eprint/2935 |
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