- Marine Ecology: Political, Economic and Environmental Implications
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Marine systems analysis and modeling
Helgoländer Meeresuntersuchungen volume 49, pages 617–632 (1995)
Abstract
Oceanography and marine ecology have a considerable history in the use of computers for modeling both physical and ecological processes. With increasing stress on the marine environment due to human activities such as fisheries and numerous forms of pollution, the analysis of marine problems must increasingly and jointly consider physical, ecological and socio-economic aspects in a broader systems framework that transcends more traditional disciplinary boundaries. This often introduces difficult-to-quantify, “soft” elements, such as values and perceptions, into formal analysis. Thus, the problem domain combines a solid foundation in the physical sciences, with strong elements of ecological, socio-economic and political considerations. At the same time, the domain is also characterized by both a very large volume of some data, and an extremely datapoor situation for other variables, as well as a very high degree of uncertainty, partly due to the temporal and spatial heterogeneity of the marine environment. Consequently, marine systems analysis and management require tools that can integrate these diverse aspects into efficient information systems that can support research as well as planning and also policy- and decisionmaking processes. Supporting scientific research, as well as decision-making processes and the diverse groups and actors involved, requires better access and direct understanding of the information basis as well as easy-to-use, but powerful tools for analysis. Advanced information technology provides the tools to design and implement smart software where, in a broad sense, the emphasis is on the man-machine interface. Symbolic and analogous, graphical interaction, visual representation of problems, integrated data sources, and built-in domain knowledge can effectively support users of complex and complicated software systems. Integration, interaction, visualization and intelligence are key concepts that are discussed in detail, using an operational software example of a coastal water quality model. The model comprises components of a geographical information and mapping system, data bases, dynamic simulation models, and an integrated expert system. An interactive graphical user interface, dynamic visualization of model results, and a hyper-text-based help-and-explain system illustrate some of the features of new and powerful software tools for marine systems analysis and modeling.
Literature Cited
Andersen, K. P. & Ursin, E., 1977. A multispecies extension to the Beverton and Holt theory of fishing, with accounts of phosphorus circulation and primary production. — Meddr Danm. Fisk.-og Havunders.7, 319–435.
Anonymous, 1988. MANS — Management analysis North Sea. Summary report 1987. Rijkswaterstaat, North Sea Directorate, The Hague, 39 pp.
Anonymous, 1989. Modelling of the North Sea water quality. Rijkswaterstaat, Tidal Waters Division, The Hague, 24 pp.
Barnes, K. B., 1988. Cartographic modeling of nonpoint pollutant surfaces for a coastal drainage area. In: Proceedings of the Symposium on Coastal Water Resources. Ed. by K. B. Barnes, W. L. Lyke & T. J. Hoban. American Water Resources Association, Bethesda, 133–146.
Bigelow, J. H., Haven, J. C. de, Dzitzer, C., Eilers, P. & Peeters, J. C. H., 1977. Protecting an estuary from floods — a policy analysis of the Oosterschelde. III.: Assessment of long-run ecological balances. Rand Corporation, Santa Monica. 215 pp. (R-2121/4-NETH).
Collins, M. B., Banner, F. T. & Tyler, P. A. (Eds), 1980. Industrial embayments and their environmental problems. A case study of Swansea Bay. Pergamon Press, Oxford, 608 pp.
Connolly, J. P., 1991. Application of a food chain model to polychlorinated biphenyl contamination of the lobster and winter flounder food chains in New Bedford Harbor. — Environ. Sci. Technol.25, 760–770.
Delft Hydraulics (Ed.), 1990. Draft — Swansea Bay Model — dispersion modelling and particles tracking model (T647). Delft Hydraulics, Delft, 78 pp.
Falconer, R. A., Goodwin, P. & Matthew, R. G. S. (Eds), 1989. Hydraulic and environmental modeling of coastal, estuarine and river waters. Proceedings of the International Conference held at the University of Bradford, 19–21 September 1989. Gower Technical, Aldershot, 694 pp.
Fedra, K., 1981. Pelagic foodweb analysis: hypothesis testing by simulation. — Kieler Meeresforsch. (Sonderh.)5, 249–258.
Fedra, K., 1985. A modular interactive simulation system for eutrophication and regional development. — Water Resour. Res.21 (2), 143–152.
Fedra, K., 1990. Interactive environmental software: integration, simulation and visualization. In: Informatik für den Umweltschutz. Proceedings of the 5th Symposium on Computer Science for Environmental Protection, 19–21 September 1990, Vienna, Austria. Hrsg. von W. Pillmann & A. Jaeschke. Springer, Berlin, 733–744.
Fedra, K., 1991. Smart software for water resources planning and management. Decision Support Systems. Ed. by D. P. Loucks & J. R. da Costa. Springer, Berlin, 145–172. (NATO ASI Ser. [G]26).
Fedra, K. & Loucks, D. P., 1985. Interactive computer technology for planning and policy modeling. —Water Resour. Res.21 (2), 114–122.
Fedra, K., Winkelbauer, L. & Pantulu, V. R., 1991. Expert systems for environmental screening. An application in the lower Mekong Basin. RR-91-19. International Institute for Applied Systems Analysis, Laxenburg, 169 pp.
Fransz, H. G., Mommaerts, J. P. & Radach, G., 1991. Ecological modelling of the North Sea. —Neth. J. Sea Res.28 (1/2), 67–140.
Goldberg, E. D., McCave, I. N., O'Brien, J. J. & Steele, J. H. (Eds), 1977. The sea. Vol. 6: Marine modeling. Wiley, New York, 1048 pp.
Hultkrantz, L., 1991. The cost of edible fish — effects on the Swedish and Finnish forest industries from the imposition of effluent charges on chlorine residuals in Sweden. — J. environ. Mgmt32, 145–164.
Klomp, R., 1990. Modelling the transport and fate of toxics in the southern North Sea. — Sci. total Environment.97/98, 103–114.
Kremer, J. N. & Nixon, S. W., 1978. A coastal marine ecosystem — simulation and analysis. Springer, Berlin, 217 pp.
Krohn, J., Müller, A. & Puls, W., 1991. Pollutant transport monitoring and prediction by mathematical modelling: North Sea and adjacent estuaries. — Mar. Pollut. Bull.23, 699–702.
Lewis, R. E. & Riddle, A. M., 1989. Sea disposal: modelling studies of waste field dilution. — Mar. Pollut. Bull.20(3), 124–129.
Loucks, D. P. & Fedra, K., 1987. Impact of changing computer technology on hydrologic and water resource modeling. — Rev. Geophys.25(2), 107–112.
Mates, A. & Scheinberg, Y., 1991. A model for approving and controlling sea water pollution for recreational activity. — Toxicol. environ. Chem.31/32, 479–487.
Nihoul, J. C. J. (Ed.), 1975. Modelling of marine systems. Elsevier, Amsterdam, 272 pp.
Reed, M., French, D., Grigalunas, T. & Opaluch, J., 1989. Overview of a natural resource damage assessment model system for coastal and marine environments. — Oil chem. Pollut.5, 85–97.
Riley, G. A., Stommel, H. & Bumpus, D. F., 1949. Quantitative ecology of the plankton of the western North Atlantic. — Bull. Bingham oceanogr. Coll.12, 1–169.
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Fedra, K. Marine systems analysis and modeling. Helgolander Meeresunters 49, 617–632 (1995). https://doi.org/10.1007/BF02368387
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DOI: https://doi.org/10.1007/BF02368387