IDEAS home Printed from https://ideas.repec.org/a/hin/complx/1312824.html
   My bibliography  Save this article

A Review of Membrane Computing Models for Complex Ecosystems and a Case Study on a Complex Giant Panda System

Author

Listed:
  • Yingying Duan
  • Haina Rong
  • Dunwu Qi
  • Luis Valencia-Cabrera
  • Gexiang Zhang
  • Mario J. Pérez-Jiménez

Abstract

Ecosystem modelling based on membrane computing is emerging as a powerful way to study the dynamics of (real) ecological populations. These models, providing distributed parallel devices, have shown a great potential to imitate the rich features observed in the behaviour of species and their interactions and key elements to understand and model ecosystems. Compared with differential equations, membrane computing models, also known as P systems, can model more complex biological phenomena due to their modularity and their ability to enclose the evolution of different environments and simulate, in parallel, different interrelated processes. In this paper, a comprehensive survey of membrane computing models for ecosystems is given, taking a giant panda ecosystem as an example to assess the model performance. This work aims at modelling a number of species using P systems with different membrane structure types to predict the number of individuals depending on parameters such as reproductive rate, mortality rate, and involving processes as rescue or release. Firstly, the computing models are introduced conceptually, describing the main elements constituting the syntax of these systems and explaining the semantics of the rules involved. Next, various modelled species (including endangered animals, plants, and bacteria) are summarized, and some computer tools are presented. Then, a discussion follows on the use of P systems for ecosystem modelling. Finally, a case study on giant pandas in Chengdu Base is analysed, concluding that the study in this field by using PDP systems can provide a valuable tool to deepen into the knowledge about the evolution of the population. This could ultimately help in the decision-making processes of the managers of the ecosystem to increase the species diversity and modify the adaptability. Besides, the impacts of natural disasters on the population dynamics of the species should also be considered. The analysis performed throughout the paper has taken into consideration this fact in order to increase the reliability of the prospects making use of the models designed.

Suggested Citation

  • Yingying Duan & Haina Rong & Dunwu Qi & Luis Valencia-Cabrera & Gexiang Zhang & Mario J. Pérez-Jiménez, 2020. "A Review of Membrane Computing Models for Complex Ecosystems and a Case Study on a Complex Giant Panda System," Complexity, Hindawi, vol. 2020, pages 1-26, September.
  • Handle: RePEc:hin:complx:1312824
    DOI: 10.1155/2020/1312824
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/8503/2020/1312824.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/8503/2020/1312824.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2020/1312824?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Duan, Yingying & Rong, Haina & Zhang, Gexiang & Gorbachev, Sergey & Qi, Dunwu & Valencia-Cabrera, Luis & Pérez-Jiménez, Mario J., 2024. "A review of computing models for studying population dynamics of giant panda ecosystems," Ecological Modelling, Elsevier, vol. 487(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:complx:1312824. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.