IDEAS home Printed from https://ideas.repec.org/a/igg/jaeis0/v6y2015i4p1-15.html
   My bibliography  Save this article

Scenarios and Modeling of Land Use and Cover Changes in Portugal from 1980 to 2040

Author

Listed:
  • Sara Santos

    (NOVA Information Management School, Lisbon, Portugal)

  • Pedro Cabral

    (NOVA Information Management School, Lisbon, Portugal)

  • Alexander Zamyatin

    (Tomsk State University, Tomsk, Russia)

Abstract

In this study, land use and cover changes in continental Portugal are analyzed for years 1980, 1995 and 2010 using samples of the Landyn research project. The modeling approach includes testing the hypothesis that land cover changes are generated by a first-order Markov process. Results show that the changes in land use and cover are dependent of the previous moment in time, i.e., they follow a Markov process. Accordingly, multi-decadal land cover projections of Landyn simplified land cover classes are legitimately presented and analyzed for continental Portugal and its regions for years 2020, 2030 and 2040. To make these results spatially explicit, a modelling approach which combines Markov chains with cellular automata is carried out using hypothetical scenarios. The quantitative and spatially explicit information provided by this study enables a better understanding of tendencies in land cover change and may be useful for territorial planning and management.

Suggested Citation

  • Sara Santos & Pedro Cabral & Alexander Zamyatin, 2015. "Scenarios and Modeling of Land Use and Cover Changes in Portugal from 1980 to 2040," International Journal of Agricultural and Environmental Information Systems (IJAEIS), IGI Global, vol. 6(4), pages 1-15, October.
  • Handle: RePEc:igg:jaeis0:v:6:y:2015:i:4:p:1-15
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJAEIS.2015100101
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Mascarenhas, André & Haase, Dagmar & Ramos, Tomás B. & Santos, Rui, 2019. "Pathways of demographic and urban development and their effects on land take and ecosystem services: The case of Lisbon Metropolitan Area, Portugal," Land Use Policy, Elsevier, vol. 82(C), pages 181-194.
    2. M., Jayanthi & T., Ravisankar & G., Nagaraj & S., Thirumurthy & M., Muralidhar & R., Saraswathy, 2019. "Is aquaculture abandonment a threat to sustainable coastal resource use? – A case study of Andhra Pradesh, India, with options for reuse," Land Use Policy, Elsevier, vol. 86(C), pages 54-66.

    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:igg:jaeis0:v:6:y:2015:i:4:p:1-15. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.