Modeling population growth of Pyrenean chamois (Rupicapra p. pyrenaica) by using P-systems

  • Authors:

  • Maria Angels Colomer;Santiago Lavín;Ignasi Marco;Antoni Margalida;Ignacio Pérez-Hurtado;Mario J. Pérez-Jiménez;Delfí Sanuy;Emmanuel Serrano;Luis Valencia-Cabrera

  • Affiliations:

  • Dpt. of Mathematics, University of Lleida, Lleida, Spain;Servei d'Ecopatologia de Fauna Salvatge, Departament de Medicina i Cirurgia Animals, Universitat Autònoma de Barcelona, Barcelona, Spain;Servei d'Ecopatologia de Fauna Salvatge, Departament de Medicina i Cirurgia Animals, Universitat Autònoma de Barcelona, Barcelona, Spain;Bearded Vulture Study & Protection Group, El Pont de Suert, Lleida, Spain;Dpt. of Computer Science and Artificial Intelligence, University of Sevilla, Sevilla, Spain;Dpt. of Computer Science and Artificial Intelligence, University of Sevilla, Sevilla, Spain;Dpt. of Animal Production, University of Lleida, Lleida, Spain;Servei d'Ecopatologia de Fauna Salvatge, Departament de Medicina i Cirurgia Animals, Universitat Autònoma de Barcelona, Barcelona, Spain;Dpt. of Computer Science and Artificial Intelligence, University of Sevilla, Sevilla, Spain

  • Venue:
  • CMC'10 Proceedings of the 11th international conference on Membrane computing
  • Year:
  • 2010

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Abstract

P systems provide a high level computational modeling framework which integrates the structural and dynamic aspects of ecosystems in a comprehensive and relevant way. In previous works,several ecosystems modeled by using P systems were presented. The good results obtained encourage us to study new ecosystems such as the one presented in this paper. Pyrenean Chamois (Rupicapra p. pyrenaica) is an ungulate species inhabiting the Catalan Pyrenees. In recent years, several diseases have caused a drastic decrease in the number of individuals. Since they provide significant economic contributions in the area and constitutes an important food resource for obligate and facultative scavengers, it is very interesting to provide a model in order to facilitate the management of their ecosystems.