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Modeling Population Growth of Pyrenean Chamois (Rupicapra p. pyrenaica) by Using P-Systems

  • Maria Angels Colomer
  • Santiago Lavín
  • Ignasi Marco
  • Antoni Margalida
  • Ignacio Pérez-Hurtado
  • Mario J. Pérez-Jiménez
  • Delfí Sanuy
  • Emmanuel Serrano
  • Luis Valencia-Cabrera
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6501)

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.

Keywords

Zebra Mussel Designer User Snow Layer Custom Simulator Border Disease Virus 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Maria Angels Colomer
    • 1
  • Santiago Lavín
    • 2
  • Ignasi Marco
    • 2
  • Antoni Margalida
    • 3
  • Ignacio Pérez-Hurtado
    • 4
  • Mario J. Pérez-Jiménez
    • 4
  • Delfí Sanuy
    • 5
  • Emmanuel Serrano
    • 2
  • Luis Valencia-Cabrera
    • 4
  1. 1.Dpt. of MathematicsUniversity of LleidaLleidaSpain
  2. 2.Servei d’Ecopatologia de Fauna Salvatge (SEFaS), Departament de Medicina i Cirurgia AnimalsUniversitat Autònoma de Barcelona (UAB)Bellaterra BarcelonaSpain
  3. 3.Bearded Vulture Study & Protection GroupEl Pont de SuertSpain
  4. 4.Research Group on Natural Computing, Dpt. of Computer Science and Artificial IntelligenceUniversity of SevillaSevillaSpain
  5. 5.Dpt. of Animal ProductionUniversity of LleidaLleidaSpain

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