IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2023i12p2127-d1292307.html
   My bibliography  Save this article

Thirty Years of Change in the Land Use and Land Cover of the Ziz Oases (Pre-Sahara of Morocco) Combining Remote Sensing, GIS, and Field Observations

Author

Listed:
  • Ahmed Karmaoui

    (Bioactives, Health & Environment Laboratory, Epigenetics, Faculty of Science and Techniques, Errachidia (UMI), Moroccan Center for Culture and Science, Moulay Ismail University, Meknes 50050, Morocco)

  • Adil Moumane

    (Department of Geography, Ibn Tofail University, Kenitra 14000, Morocco)

  • Samir El Jaafari

    (Cluster of Competency on Health and Environment, Moulay Ismail University, Meknes 52000, Morocco)

  • Aziza Menouni

    (Cluster of Competency on Health and Environment, Moulay Ismail University, Meknes 52000, Morocco)

  • Jamal Al Karkouri

    (Department of Geography, Ibn Tofail University, Kenitra 14000, Morocco)

  • Mohammed Yacoubi

    (Laboratory of Water, Biodiversity and Climate Change, Faculty of Sciences Semlalia, Cadi Ayyad University, Marrakech 40000, Morocco)

  • Lhoussain Hajji

    (Bioactives, Health and Environmental Laboratory, Epigenetics, Moulay Ismail University, Meknes 50050, Morocco)

Abstract

Remote sensing (RS) data and geographic information system (GIS) techniques were used to monitor the changes in the Oasis agroecosystem of the pre-Saharan province of Errachidia, southeastern Morocco. The land use and land cover (LULC) change of the agroecosystem of this province was processed using Landsat time series with 5-year intervals of the last thirty years. The normalized difference vegetation index (NDVI) and the maximum likelihood classification (MLC) were categorized into five classes, including water bodies, cultivated land, bare land, built-up, and desertified land. The overall accuracy of the MLC maps was estimated to be higher than 90%. The finding showed a degradation trend represented by an increase in desertified lands, which tripled in the ten last years, passing from 20.62% in 2011 to 58.49% in 2022. The findings also depicted a decreasing trend in the cultivated area in this period passing from 174.2 km 2 in 1991 to 82.2 km 2 in 2022. Using NDWI, Landsat images from 1991 to 2021 depicted a strong association between the water reserve in Hassan Eddakhil dam in the upstream area and the LULC changes. The oases from the dam (upstream) to Er-Rissani (downstream) recorded high rates of decline with an increasing trend of desertification due to drought and overuse mainly of groundwater. The outputs of this research effort constitute a significant source of information that may be used to support further research and decision-makers to manage arid ecosystems and achieve the sustainable development goals (SDGs), precisely the SDGs 15 (Life on land).

Suggested Citation

  • Ahmed Karmaoui & Adil Moumane & Samir El Jaafari & Aziza Menouni & Jamal Al Karkouri & Mohammed Yacoubi & Lhoussain Hajji, 2023. "Thirty Years of Change in the Land Use and Land Cover of the Ziz Oases (Pre-Sahara of Morocco) Combining Remote Sensing, GIS, and Field Observations," Land, MDPI, vol. 12(12), pages 1-25, December.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:12:p:2127-:d:1292307
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/12/2127/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/12/12/2127/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wang, Fei & Lai, Hexin & Li, Yanbin & Feng, Kai & Zhang, Zezhong & Tian, Qingqing & Zhu, Xiaomeng & Yang, Haibo, 2022. "Identifying the status of groundwater drought from a GRACE mascon model perspective across China during 2003–2018," Agricultural Water Management, Elsevier, vol. 260(C).
    2. Haj-Amor, Zied & Kumar Acharjee, Tapos & Dhaouadi, Latifa & Bouri, Salem, 2020. "Impacts of climate change on irrigation water requirement of date palms under future salinity trend in coastal aquifer of Tunisian oasis," Agricultural Water Management, Elsevier, vol. 228(C).
    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. Haghnazari, Farzad & Karandish, Fatemeh & Darzi-Naftchali, Abdullah & Šimůnek, Jiří, 2020. "Dynamic assessment of the impacts of global warming on nitrate losses from a subsurface-drained rainfed-canola field," Agricultural Water Management, Elsevier, vol. 242(C).
    2. Huazhu Xue & Ruirui Zhang & Wenfei Luan & Zhanliang Yuan, 2024. "The Spatiotemporal Variations in and Propagation of Meteorological, Agricultural, and Groundwater Droughts in Henan Province, China," Agriculture, MDPI, vol. 14(10), pages 1-28, October.

    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:gam:jlands:v:12:y:2023:i:12:p:2127-:d:1292307. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.