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On the consequences of aggregation and balancing of networks on system properties derived from ecological network analysis |
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| Authors: | Dan Baird Brian D Fath Robert E Ulanowicz Harald Asmus Ragnhild Asmus |
| Institution: | 1. Department of Botany and Zoology, University of Stellenbosch, Private Bag X1, Matieland 7602, Stellenbosch, South Africa;2. Biology Department, Towson University, Towson, MD 21252, USA;3. Dynamic Systems Program, International Institute for Applied Systems Analysis, Laxenburg, Austria;4. University of Marlyland Center for Environmental Science, Chesapeake Biological Laboratory, 1 Williams Street, Solomons, MD 20688-0038, USA;5. Department of Botany & Zoology, University of Florida, Gainesville, FL 32611-8525, USA;6. Alfred Wegener Institute, Wattenmeerstation, Hafenstrasse 43, List 25992, Germany |
| Abstract: | In the ecological network analysis (ENA) of complex flow food webs the assumption is often made that the models characterizing the flows and stocks of ecosystems occur in a steady state where inflows equals outflows. An assessment of the system indices derived from ENA of six balanced and unbalanced system models, respectively, indicate to differences between indices. The aggregation of highly articulated flow models into models with fewer compartments also has drastic effects on the system metrics, particularly on the information indices. |
| Keywords: | Ecological network analysis Steady state models Non-steady state models Balancing Aggregation Trophic dynamics System indices Sylt&ndash Rø mø Bight |
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