Joint Seminar: Ökosystemmodelle aus empirischer und theoretischer Perspektive

Ecological modelling is perceived as an applied science. Yet it has remained unclear from which sciences models utilise knowledge to be applied. In forestry, for example, empirical models derived from past experience have remained unmatched in management utility by models based on physical, chemical or biological processes. Here, the basic abstractions utilised in models of the living and the non-living will be reviewed and demonstrated in (terrestrial) examples. The focus will be on two (dual) ways in which ecological models can be mathematically framed into notions of state and behaviour. The first modelling paradigm is derived from physics and dominates process-based modelling approaches. A second, alternate approach can be derived from theoretical computer science and can be used to provide a theoretical basis for empirical ecosystem models. Unlike the history of atmospheric models, where empirical models are now perceived as an early and immature stage of modelling, in ecology the situation may by different. There, empirical models can be directly supported by theory. An outlook will be given on the implications and how the new approach could be used to complement current interfaces with ecosystems in climate models.




15:15 h


Bundesstr. 53, room 022/023
Seminar Room 022/023, Ground Floor, Bundesstrasse 53, 20146 Hamburg, Hamburg


Michael Hauhs, Ökologische Modellbildung, Universität Bayreuth


Back to listing