IDEAS home Printed from https://ideas.repec.org/a/ags/asagre/174504.html
   My bibliography  Save this article

Dynamic Simulation of Land Use in the Southern Loess Plateau

Author

Listed:
  • GUO, Bin

Abstract

To study the dynamic changes of land use and predict the future land use scenarios based on the current land use, this paper uses Cellular Automata-Markov (CA-Markov) model to simulate the landscape pattern in 2030. The results show that in the study area during the period 1980-2005, grassland and construction land increased, and woodland increased slightly; waters and unused land decreased, and arable land underwent dramatic changes. The simulation precision of CA-Markov model is 87.28%, indicating that the use of it for simulation is reliable. The land use of the study area will be changed greatly in the future. This method provides a reference for the regions to carry out land prediction, and the research results can provide a basis for the study of optimization of land.

Suggested Citation

  • GUO, Bin, 2014. "Dynamic Simulation of Land Use in the Southern Loess Plateau," Asian Agricultural Research, USA-China Science and Culture Media Corporation, vol. 6(05), pages 1-4, May.
    • Handle: RePEc:ags:asagre:174504
    DOI: 10.22004/ag.econ.174504
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/174504/files/13.PDF
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.174504?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
    ---><---

    More about this item

    Keywords

    Agribusiness;

    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:ags:asagre:174504. 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: AgEcon Search (email available below). General contact details of provider: .

    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.