Don DeAngelis

Contributions to MCED

  • Chap 15


    Research Professor

    U. S. Geological Survey, Biological Resources Division

    Department of Biology, University of Miami
    P. O. Box 249118, Coral Gables, FL  33124
    Phone:  305-284-1690

    Fax: 305-284-3039


    Fields of work

    Conservation and Restoration Biology
    Mathematical and Theoretical Biology

    Research Interests:

    I am a theoretical ecologist with an interest in population dynamics, age and size structure of populations, food web theory, ecosystem theory, forest dynamics, nutrient cycling, modeling of animal behavior and movement, and evolutionary theory. My recent interests have included developing individual-based population models for populations of fish and other animals. I am coordinator of a US Geological Survey program developing a suite of landscape-level models of the Everglades ecosystem.

    Modelling approaches:

    Individual-based models
    Equation-based models

    Selected References

    Borcherding, J. , P. Beeck,, D. L. DeAngelis, and W. R. Scharf. 2010. Match or mismatch: the influence of phenology on size-dependent life history and divergence in population structure. Journal of Animal Ecology 79:1101-1112.

    Holland, J.N. and D.L. DeAngelis. 2010. A consumer-resource approach to the density-dependent population dynamics of mutualism. Ecology 91:1286-1295.

    Jopp, F., D. L. DeAngelis, and J. C. Trexler. 2010. Modeling seasonal dynamics of the small fish functional group in fluctuating freshwater marshlands. Landscape Ecology 25:1041-1054.

    Ju, Shu, and D. L. DeAngelis. 2010. Nutrient fluxes at the landscape level and the R* rule. Ecological Modelling 221:141-146.

    Reuter, H., F. Jopp, J. M. Blanco-Moreno, C. Damgaard, Y. Matsinos, and D. L. DeAngelis. Ecological hierarchies and self-organization – pattern analysis, modeling and process integration across scales. 2010. Basic and Applied Ecology 11: 572-581.

    Schmolke, A., P. Thorbek, D. L. DeAngelis, and V. Grimm. 2010. Ecological models supporting environmental decision making: a strategy for the future. Trends in Ecology and Evolution 25:479-486.