IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v266y1999i1p339-342.html
   My bibliography  Save this article

A stochastic lattice model for locust outbreak

Author

Listed:
  • Kizaki, Shinya
  • Katori, Makoto

Abstract

The locust is a kind of grasshoppers. Gregarious locusts form swarms and can migrate over large distances and they spread and damage a large area (locust outbreak). When the density is low, each of locusts behaves as an individual insect (solitary phase). As locusts become crowded, they become to act as a part of a group (gregarious phase) as a result of interactions among them. Modeling of this phenomenon is a challenging problem of statistical physics. We introduce a stochastic cellular automaton model of locust population-dynamics on lattices. Change of environmental conditions by seasonal migration is a key factor in gregarisation of locusts and we take it into account by changing the lattice size periodically. We study this model by computer simulations and discuss the locust outbreak as a cooperative phenomena.

Suggested Citation

  • Kizaki, Shinya & Katori, Makoto, 1999. "A stochastic lattice model for locust outbreak," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 266(1), pages 339-342.
  • Handle: RePEc:eee:phsmap:v:266:y:1999:i:1:p:339-342
    DOI: 10.1016/S0378-4371(98)00613-X
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037843719800613X
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/S0378-4371(98)00613-X?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.

    Citations

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


    Cited by:

    1. Nguyen, Tuyen Van & Park, Young-Seuk & Jeoung, Chang-Sik & Choi, Won-Il & Kim, Yong-Kuk & Jung, Il-Hyo & Shigesada, Nanako & Kawasaki, Kohkichi & Takasu, Fugo & Chon, Tae-Soo, 2017. "Spatially explicit model applied to pine wilt disease dispersal based on host plant infestation," Ecological Modelling, Elsevier, vol. 353(C), pages 54-62.
    2. Lee, Sang Dong & Park, Sohyun & Park, Young-Seuk & Chung, Yeong-Jin & Lee, Buom-Young & Chon, Tae-Soo, 2007. "Range expansion of forest pest populations by using the lattice model," Ecological Modelling, Elsevier, vol. 203(1), pages 157-166.

    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:phsmap:v:266:y:1999:i:1:p:339-342. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.