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Variance in Water Temperature as a Factor in the Modelling of Starfish and Mussel Population Density and Diversity

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Book cover Advances in Artificial Life (ECAL 2007)

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Abstract

There is a general agreement when modelling ecosystems that the simplest solutions are generally the best. Comparing water temperature models that affect the feeding rate of starfish can show similar results when simulated under a simple scenario. When the system is modified to include environmental change, water temperature models that have similar mean temperatures but differences in variance can produce variable results that correlate to the magnitude of their variance. This paper will examine and compare the effect that four water temperature models, each with similar mean temperatures, has on the predation of mussels by starfish, and how this affects population densities over time. Results find that water temperature models with comparable variance produce similar results; models that differ in variance produce dissimilar results, especially when environmental conditions capitalise on that variance.

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References

  1. Booth, G., Gecko, A.: Continuous 2-D World for Ecological Modelling. Artfiicial Life 3, 147–163 (1997)

    Google Scholar 

  2. Crisp, D.T.: Simplified methods of estimating daily mean stream water temperature. Freshwater Biology 23(3), 457–462 (1990)

    Article  Google Scholar 

  3. Downing, K.: EUZONE: Simulating the Evolution of Aquatic Ecosystems. Artficial Life 3(4), 307–333 (1997)

    Article  Google Scholar 

  4. Green, D.G., Newth, D.: Towards a theory of everything? Grand challenges in complexity and informatics. In: Complex Systems 2000, Dunedin, New Zealand (2000)

    Google Scholar 

  5. Grimm, V.: Ten years of individual-based modelling in ecology: what have we learnt and what could we learn in the future? Ecological Modelling 115, 129–148 (1999)

    Article  Google Scholar 

  6. Himmelman, J.H., Dutil, C., Gaymer, C.F.: Foraging behaviour and activity budgets of sea stars on a subtidal sediment bottom community. Journal of Experimental Marine Biology and Ecology 322, 153–165 (2005)

    Article  Google Scholar 

  7. Inglis, G.J., Gust, N.: Potential indirect effects of shellfish culture on the reproductive success of benthic predators. Journal of Applied Ecology 40(6), 1077–1089 (2003)

    Article  Google Scholar 

  8. Katz, R.W., Brown, B.G.: Extreme events in a changing climate: Variability is more important than averages. Climatic Change 21, 289–302 (1992)

    Article  Google Scholar 

  9. Mearns, L.O., Rosenzweig, C., Goldberg, R.: Mean and Variance Change in Climate Scenarios: Methods, Agricultural Applications, and Measures of Uncertainty. Climate Change 35, 367–396 (1997)

    Article  Google Scholar 

  10. Oboshi, T., Kato, S., Mutoh, A., Itoh, H.: Collective or Scattering: Evolving Schooling Behaviours to Escape from Predator. In: Artificial Life VIII, Proceedings of the Eighth International Conference on Artificial Life (2003)

    Google Scholar 

  11. Paine, R.T.: A Note on Trophic Complexity and Community Stability. American Naturalist 103, 91–93 (1969)

    Article  Google Scholar 

  12. Paine, R.T., Levin, S.A.: Intertidal Landscapes: Disturbance and the Dynamics of Pattern. Ecological Monographs 51(2), 145–178 (1981)

    Article  Google Scholar 

  13. Robinson, S.: Distributed Simulation and Simulation Practice. Simulation 81(1), 5–13 (2005)

    Article  Google Scholar 

  14. Sanford, E.: The feeding, growth, and energentics of two rocky intertidal predators (Pisaster ochraceus and Nucella canaliculata) under water temperatures simulating episodic upwelling. Journal of Experimental Marine Biology and Ecology 273, 199–218 (2002)

    Article  Google Scholar 

  15. Sanford, E.: Water Temperature, Predation, and the Neglected Role of Physiological Rate Effects in Rocky Intertidal Communities. Integrative and Comparative Biology 42(4), 881–891 (2002)

    Article  MathSciNet  Google Scholar 

  16. Thulke, H.H., Grimm, V., Müller, M.S., Staubach, C., Tischendorf, L., Wissel, C., Jeltsch, F.: From pattern to practice: a scaling-down strategy for spatially explicit modelling illustrated by the spread and control of rabies. Ecological Modelling 117, 179–202 (1998)

    Article  Google Scholar 

  17. Volterra, V.: Variations and fluctuations of the number of individuals in animal species living together. Animal Ecology (1931)

    Google Scholar 

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Fernando Almeida e Costa Luis Mateus Rocha Ernesto Costa Inman Harvey António Coutinho

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© 2007 Springer-Verlag Berlin Heidelberg

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White, D. (2007). Variance in Water Temperature as a Factor in the Modelling of Starfish and Mussel Population Density and Diversity. In: Almeida e Costa, F., Rocha, L.M., Costa, E., Harvey, I., Coutinho, A. (eds) Advances in Artificial Life. ECAL 2007. Lecture Notes in Computer Science(), vol 4648. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74913-4_16

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  • DOI: https://doi.org/10.1007/978-3-540-74913-4_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74912-7

  • Online ISBN: 978-3-540-74913-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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