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A bio-inspired computing model as a new tool for modeling ecosystems: The avian scavengers as a case study

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  • Colomer, M. Àngels
  • Margalida, Antoni
  • Sanuy, Delfí
  • Pérez-Jiménez, Mario J.

Abstract

The models used for ecosystems modeling are generally based on differential equations. However, in recent years new computational models based on biological processes, or bioinspired models, have arisen, among which are P systems. These are inspired by the functions of cells and present important advantages with respect to traditional models, such as a high computational efficiency, modularity and their ability to work in parallel. They are simple, individual-based models that use biological parameters that can be obtained experimentally. In this work, we present the framework for a model based on P systems applied to the study of an ecosystem in which three avian scavengers (predators) interact with 10 wild and domestic ungulates (preys). The computation time for 100 repetitions, corresponding to 14 simulation years each, with an initial population composed of 385,422 individuals, was 30min. Our results suggest that the model presented, based on P systems, correctly simulates the population dynamics in the period of time analyzed. We discuss the usefulness of this tool in simulating complex ecosystems dynamics to aid managers, conservationists and policy-makers in making appropriate decisions for the improvement of management and conservation programs.

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  • Colomer, M. Àngels & Margalida, Antoni & Sanuy, Delfí & Pérez-Jiménez, Mario J., 2011. "A bio-inspired computing model as a new tool for modeling ecosystems: The avian scavengers as a case study," Ecological Modelling, Elsevier, vol. 222(1), pages 33-47.
    • Handle: RePEc:eee:ecomod:v:222:y:2011:i:1:p:33-47
    DOI: 10.1016/j.ecolmodel.2010.09.012
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    References listed on IDEAS

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    1. Daniel Oro & Antoni Margalida & Martina Carrete & Rafael Heredia & José Antonio Donázar, 2008. "Testing the Goodness of Supplementary Feeding to Enhance Population Viability in an Endangered Vulture," PLOS ONE, Public Library of Science, vol. 3(12), pages 1-10, December.
    2. Sakanoue, Seiichi, 2009. "A resource-based approach to modelling the dynamics of interacting populations," Ecological Modelling, Elsevier, vol. 220(11), pages 1383-1394.
    3. Lawrie, Jock & Hearne, John, 2008. "A method for aggregating state variables in large ecosystem models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(3), pages 368-378.
    4. Sakanoue, Seiichi, 2007. "Extended logistic model for growth of single-species populations," Ecological Modelling, Elsevier, vol. 205(1), pages 159-168.
    5. da Silva Peixoto, Magda & de Barros, Laécio Carvalho & Bassanezi, Rodney Carlos, 2008. "Predator–prey fuzzy model," Ecological Modelling, Elsevier, vol. 214(1), pages 39-44.
    6. Russell, James C. & Lecomte, Vincent & Dumont, Yves & Le Corre, Matthieu, 2009. "Intraguild predation and mesopredator release effect on long-lived prey," Ecological Modelling, Elsevier, vol. 220(8), pages 1098-1104.
    7. Miehls, Andrea L. Jaeger & Mason, Doran M. & Frank, Kenneth A. & Krause, Ann E. & Peacor, Scott D. & Taylor, William W., 2009. "Invasive species impacts on ecosystem structure and function: A comparison of the Bay of Quinte, Canada, and Oneida Lake, USA, before and after zebra mussel invasion," Ecological Modelling, Elsevier, vol. 220(22), pages 3182-3193.
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    Cited by:

    1. Fondevilla, Cristian & Àngels Colomer, M. & Fillat, Federico & Tappeiner, Ulrike, 2016. "Using a new PDP modelling approach for land-use and land-cover change predictions: A case study in the Stubai Valley (Central Alps)," Ecological Modelling, Elsevier, vol. 322(C), pages 101-114.
    2. Colomer, M. Àngels & Montori, Albert & García, Eder & Fondevilla, Cristian, 2014. "Using a bioinspired model to determine the extinction risk of Calotriton asper populations as a result of an increase in extreme rainfall in a scenario of climatic change," Ecological Modelling, Elsevier, vol. 281(C), pages 1-14.
    3. Colomer, Mª Àngels & Margalida, Antoni & Sanuy, Isabel & Llorente, Gustavo A. & Sanuy, Delfí & Pujol-Buxó, Eudald, 2021. "A computational model approach to assess the effect of climate change on the growth and development of tadpoles," Ecological Modelling, Elsevier, vol. 461(C).
    4. García-Quismondo, Manuel & Reed, J. Michael & Chew, Frances S. & Martínez-del-Amor, Miguel A. & Pérez-Jiménez, Mario J., 2017. "Evolutionary response of a native butterfly to concurrent plant invasions: Simulation of population dynamics," Ecological Modelling, Elsevier, vol. 360(C), pages 410-424.

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