IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v487y2024ics0304380023002739.html
   My bibliography  Save this article

A review of computing models for studying population dynamics of giant panda ecosystems

Author

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

Abstract

Computing models are a good and effective way to study population dynamics of endangered species like giant pandas. Until now, a variety of computing models were proposed for giant pandas, but no survey on computing models for population dynamics of giant panda ecosystems has yet appeared in the specialised literature. It is necessary to provide an overview of the state-of-the-art of this topic so as to allow newcomers to the area to obtain a clear understanding of developments, key research problems, properties of computing models in this field, including those that are currently under way. This paper proposes a unified framework to clearly summarise the computing models used for studying the population dynamics of threatened species with respect to theoretical and application aspects and presents a comprehensive and systematic survey of the state-of-the-art computing models. This paper also introduces basic concepts of computing models, surveys their theoretical developments and applications, sketches the differences between various computing model variants, and compares the advantages and limitations of the models. Comparing with single-factor computing models and double-factor computing models, multi-factor computing models, especially multi-environment population dynamics P systems, are more suitable for investigating giant panda ecosystems, because the use of bottom-up way to consider evolutionary behaviours influencing giant pandas’ population.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:ecomod:v:487:y:2024:i:c:s0304380023002739
    DOI: 10.1016/j.ecolmodel.2023.110543
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380023002739
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2023.110543?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Caron-Lormier, Geoffrey & Bohan, David A. & Hawes, Cathy & Raybould, Alan & Haughton, Alison J. & Humphry, Roger W., 2009. "How might we model an ecosystem?," Ecological Modelling, Elsevier, vol. 220(17), pages 1935-1949.
    2. Zhang, Jingjing & Pimm, Stuart L. & Xu, Weihua & Shi, Xuewei & Xiao, Yang & Kong, Lingqiao & Fan, Xinyue & Ouyang, Zhiyun, 2020. "Relationship between giant panda populations and selected ecosystem services," Ecosystem Services, Elsevier, vol. 44(C).
    3. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Logsdon, Rebecca A. & Chaubey, Indrajeet, 2013. "A quantitative approach to evaluating ecosystem services," Ecological Modelling, Elsevier, vol. 257(C), pages 57-65.
    2. Smajgl, Alex & House, Alan P.N. & Butler, James R.A., 2011. "Implications of ecological data constraints for integrated policy and livelihoods modelling: An example from East Kalimantan, Indonesia," Ecological Modelling, Elsevier, vol. 222(3), pages 888-896.
    3. Caron-Lormier, Geoffrey & Bohan, David A. & Dye, Richard & Hawes, Cathy & Humphry, Roger W. & Raybould, Alan, 2011. "Modelling an ecosystem: The example of agro-ecosystems," Ecological Modelling, Elsevier, vol. 222(5), pages 1163-1173.

    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:eee:ecomod:v:487:y:2024:i:c:s0304380023002739. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    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.