Object-oriented support for modelling and simulation of individual-oriented ecological models

Ecological Modelling

Volumn 108, Issue 1-3, 1998, Pages 77-96

  Lorek, Helmut ^a   Sonnenschein, Michael ^a  

^a OFFIS INSTITUTE FOR INFORMATION TECHNOLOGY   (Germany)

Author keywords

Discrete event simulation; Individual oriented modelling; Object oriented programming; Tool

Indexed keywords

ECOLOGICAL MODEL; INDIVIDUAL ORIENTATED MODEL; MODELLING;

EID: 0032076094     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0304-3800(98)00020-9     Document Type: Article

References (60)

1. Agha, G.A., 1986. ACTORS: A Model of Concurrent Computation in Distributed Systems. MIT Press, Cambridge.
2. Baveco, J.M., Lingeman, R., 1992. An object-oriented tool for individual-oriented simulation: host-parasitoid system application. Ecol. Model. 61, 267-286.
3. Baveco, J.M., Smeulders, A.M.W., 1994. Objects for Simulation: Smalltalk and Ecology. Simulation 62 (1), 42-57.
4. Bell, P.C., O'Keefe, R.M., 1987. Visual interactive simulation-history, recent developments, and major issues. Simulation 49 (3), 109-116.
5. Booch G., 1994. Object-Oriented Analysis and Design with Applications. Benjamin-Cummings, Redwood City, CA.
6. Bossel, H., 1987. Ecodynamics as a Function of Ecosystem Structure: Forest Dieback as an Example. In: Wolff, W., Soeder, C.-J., Drepper, F.R. (Eds.), Ecodynamics Contributions to Theoretical Ecology. Springer, Berlin, pp. 244-257.
7. Caswell, H., John, A.M., 1992. From the individual to the population in demographic models. In: DeAngelis, D.L., Gross, L.J. (Eds.), Individual-Based Models and Approaches in Ecology. Chapman and Hall, London.
8. Carruthers, R.I., Larkin, T.S., Soper, R.S., 1988. Simulation of insect disease dynamics: an application of SERB to a rangeland ecosystem. Simulation 53 (3), 101-109.
9. Caswell, H., 1989. Matrix Populations Models. Sinauer Associates.
10. Coad P., Yourdon E., 1991. Object-Oriented Design. Prentice Hall, Englewood Cliffs, NJ.
11. DeAngelis, D. L., Rose, K.A, 1992. Which individual-based approach is most appropriate for a given problem? In: DeAngelis, D.L., Gross, L.J. (Eds.), Individual-Based Models and Approaches in Ecology. Chapman and Hall, London.
12. DeAngelis, D. L., 1979. Cannibalism and size dispersal in young-of-the-year largemouth bass: experiment and model. Ecol. Model. 8, 133-148.
13. DeAngelis, D.L., 1992. Mathematics: a bookkeeping tool or a means of deeper understanding of ecological systems? Verhandlungen der Gesellschaft für Ökologie 21, 9-13.
14. DeAngelis, D.L., Gross, L.J. (Eds.), 1992. Individual-Based Models and Approaches in Ecology. Chapman and Hall, London.
15. Ermentrout, G.B., Edelstein-Keshet, L., 1993. Cellular automata approaches to biological modeling. J. Theor. Biol. 160, 97-133.
16. Goldberg, A., 1984. Smalltalk-80 The language and its implementation. Addison-Wesley, Reading, MA.
17. Goldberg, A., 1990. Information models, views, and controllers. Dr Dobb's J. 15 (7), 54-61.
18. Grimm, V., Uchmanski, J., 1994. Ecological systems are not dynamic systems: some consequences of individual variability. In: Grasman, J., van Straten, G. (Eds.), Predictability and Nonlinear Modelling in Natural Sciences and Economics. Kluwer, Boston.
19. Grimm, V., 1994. Mathematical models and understanding in ecology. Ecol. Model. 75/76, 641-651.
20. Hewitt, C., Baker, H., 1977. Laws for Communicating Parallel Processes. Information Processing '77. North Holland, pp. 987-992.
21. Hiebeler, D., 1994. The Swarm Simulation System and Individual Based Modeling. Decision Support 2001: Advanced Technology for Natural Resource Management. Toronto.
22. Hogeweg, P., Hesper, B., 1990. Individual-oriented modelling in ecology. Math. Comput. Model. 13 (6), 83-90.
23. Hogeweg, P., 1988. Cellular automata as a paradigm for ecological modeling. Appl. Math. Comput. 27, 81-100.
24. Holling, C.S., 1966. The strategy for building models of complex ecological systems. In: Watt, K.E.F. (Ed.), System Analysis in Ecology.
25. Hurrion, R.D., 1989. Graphics interaction. In: Pidd, M. (Ed.), Computer Modelling for discrete simulation. Wiley.
26. Huston, M.A., DeAngelis, D.L., Post, W., 1988. New computer models unify ecological theory. Bioscience 38, 682-691.
27. Huth, A., Wissel, C., 1994. The simulation of fish schools in comparison with experimental data. Ecol. Model. 75/76, 135-145.
28. Huth, A., 1992. Ein Simulationsmodell zur Erklärung der kooperativen Bewegung von polarisierten Fischschwärmen. Dissertation, Fachbereich Physik der Philipps-Universität, Marburg.
29. Judson, O.P., 1994. The rise of the individual-based model in ecology. TREE 9 (1), 9-14.
30. Kaiser, H, 1979. The dynamics of populations as result of the properties of individual animals. Fortschr. Zool. 25 (23), 109-136.
31. Krasner, G.E., Pope, S.T., 1988. A cookbook for using the model-view-controller user interface paradigm in Smalltalk-80. J. Object-oriented Program. 1 (3), 26-49.
32. Larkin, T.S., Carruthers, R.I., Soper, R.S., 1988. Simulation and object-oriented programming: the development of SERB. Simulation 52 (3), 93-100.
33. Lhotka, L., 1991. Object-Oriented methodology on the field of aquatic ecosystem modelling. In: Bezevin, J., Meyer, B. (Eds.), TOOLS4. Technology of Object Oriented Languages and Systems. Prentice-Hall, Englewood Cliffs, NJ, pp. 309-317.
34. Lhotka, L., 1994. Implementation of individual-oriented models in aquatic ecology. Ecol. Model. 74, 47-62.
35. Lomnicki, A., 1992. Population ecology from the individual perspective. In: DeAngelis, D.L., Gross, L.J. (Eds.), Individual-Based Models and Approaches in Ecology. Chapman and Hall, London.
36. Maley, C. C., Caswell, H., 1993. Implementing i-state configuration models for population dynamics: an object-oriented programming approach. Ecol. Model. 68, 75-89.
37. McCauley, E., Wilson, W.G., De Roos, A.M., 1993. Dynamics of age-structured and spatially structured predator - prey interactions: individual-based models and population-level formulations. Am. Nat. 142 (3), 412-442.
38. Metz, J.A.J., De Roos, A.M., Van den Bosch, F., 1988. Population models incorporating physiological structure: a quick survey of the basic concepts and an application to size-structured population dynamics in waterflies. In: Ebemann, B., Persson, I. (Eds.), Size-structured population dynamics: ecology and evolution. Springer, Heidelberg, pp. 106-126.
39. Metz, J.A.J., Diekmann, O., 1986. The Dynamics of Physiologically Structured Populations. Springer lecture notes in biomathematics, vol. 68. Springer, Heidelberg.
40. Minar, N., Burkhart, R., Langton, C., Askenazi, M., 1996. The Swarm simulation system: A toolkit for building multiagent simulations. http://www.santafe.ed/projects/swarm.
41. ModellData, 1995. POWERSIM The Complete Software Tool for Dynamic Simulation, User Manual, ModellData AS, Helland, 5120 Manger, Norway.
42. Murdoch, W.W., McCauley, E., Nisbet, R.M., Gurney, W.S.C., de Roos, A.M., 1992. Individual-based models: combining testability and generality. In: DeAngelis, D.L., Gross, L.J. (Eds.), Individual-Based Models and Approaches in Ecology. Chapman and Hall, London.
43. Poehtke, H.J., Wissel, C., 1994. Zur Bedeutung von Theorie und mathematischen Modellen für den Naturschutz. Zeitschrift für Ökologie und Naturschutz 3, 131-137.
44. Pritzker, A.A.B., 1986. Introduction to Simulation and SLAM II. Wiley.
45. Reynolds, C.W., 1987. Flocks, herds, and schools: a distributed behavirol model. Comput. Graph. 21 (4), 25-34.
46. Rooks, M., 1991. A unified framework for visual interactive simulation. In: Nelson, B.L., Kelton, W.D., Clark, G.M. (Eds.), WSC '91: Proceedings of the 1991 Winter Simulation Conference, pp. 1146-1155.
47. Rooks, M., 1993. A user-centered paradigm for interactive simulation. Simulation 60 (3), 168-177.
48. Rumbaugh J., Blaha M., Premerlani W., Eddy F., Lorensen W., 1991. Object-Oriented Modelling and Design. Prentice-Hall, Englewood Cliffs, NJ.
49. Schmidt, B., 1995. SIMPLEX-II-Benutzerhandbuch. SCS Publications, San Diego.
50. SimuLink, 1993. SIMULINK, Dynamic System Simulation Software. The MathWorks, 24 Prime Park Way, Natick, MA.
51. Sonnenschein, M., Gronewold, A., 1995. Diskrete Petrinetze für individuenbasierte Modelle. In: Gnauck A., Frischmuth, A. and Kraft, A. (eds.). Ökosysteme: Modellierung und Simulation. Umweltwissenschaften, Eberhard Blottner Verlag Series, 6: 109-30.
52. Stefik, M., Bobrow, G., Kahn, M., 1986. Integration access-oriented programming into a multiparadigm environment. IEEE Software 3 (1), 11-18.
53. Systems Thinking, Experimental Learning Laboratory, 1994. STELLA II. Systems Thinking, Hannover, NH 05755.
54. Taylor, C.E., Jefferson, D.R., Turner, S.R., Goldman, S.R., 1988. RAM: artificial life for the exploration of complex biological systems. In: Langton, C. (Ed.), Artificial Life, vol. 1. Addison-Wesley, Reading, MA.
55. Thompson, W.A., Vertinsky, I., Krebs, J.R., 1974. The survival value of flocking in birds: a simulation model. J. Anim. Ecol. 43, 785-820.
56. Villa, F., 1992. New computer architecture as tools for ecological thought. TREE 7 (6), 179-183.
57. Wissel, C., Zaschke, S.-H., 1993. Ein Modell zu Uberlebenschancen von Kleinpopulationen. Verhandlungen der Gesellschaft für Ökologie, 22:469-474. Zürich, 1992.
58. Wissel, C., Zaschke, S.-H., 1994. Stochastic birth and death processes describing minimum viable populations. Ecol. Model. 75/76, 183-192.
59. Wittmann, J., 1994. The SIMPLEX II simulation system to solve problems in environmental protection. Ecol. Model. 75/76, 563-573.
60. Wolff, W.F., 1994. An individual-oriented model of a wading bird nesting colony. Ecol. Model. 72, 74-114.Yodzis, P., 1989. Introduction to Theoretical Ecology. Harper and Row, New York.