Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/23609
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Type: Journal article
Title: Automated modelling of a food web in lake Bled using measured data and a library of domain knowledge
Author: Atanasova, N.
Todorovski, L.
Dzeroski, S.
Rekar Remec, S.
Recknagel, F.
Kompare, B.
Citation: Ecological Modelling, 2006; 194(1-3):37-48
Publisher: Elsevier Science BV
Issue Date: 2006
ISSN: 0304-3800
1872-7026
Abstract: In this paper, we applied automated modelling (computer model construction) method to the task of modelling a complex lake ecosystem. The method (Lagramge) integrates domain expert knowledge in the process of automated model induction from given data set. The data set comprises long-term measurements (from 1995 to 2002) of physical, chemical and biological data in lake Bled, Slovenia. Given expert knowledge in terms of a simple food web concept and rules for modelling thereof, we first induced a model for long-term dynamics of the phytoplankton in the lake. Failing to obtain a good fit, we also induced models of phytoplankton dynamics for each year separately. The differences between these models indicate structural dynamics of the food web in lake Bled, i.e., indicate that the behaviour of the lake is changing from year to year. Additionally, we successfully induced a three-equation model (nutrient–phytoplankton–zooplankton) on the data from year 1996.
Keywords: Aquatic ecosystems
food web modelling
dynamic systems
automated modelling
computational scientific discovery
Description: Copyright © 2005 Elsevier B.V. All rights reserved.
DOI: 10.1016/j.ecolmodel.2005.10.029
Description (link): http://www.sciencedirect.com/science/journal/03043800
Appears in Collections:Aurora harvest 2
Earth and Environmental Sciences publications
Environment Institute publications

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