IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i3p1340-d488278.html
   My bibliography  Save this article

Global Climate Pattern Impacts on Long-Term Olive Yields in Northwestern Africa: Case from Souss-Massa Region

Author

Listed:
  • Houria Abahous

    (International Water Research Institute, Mohammed VI Polytechnic University, Ben Guerir 43150, Morocco)

  • Lhoussaine Bouchaou

    (International Water Research Institute, Mohammed VI Polytechnic University, Ben Guerir 43150, Morocco
    Applied Geology and Geo-Environment Laboratory, Faculty of Sciences, Ibn Zohr University, Agadir 80000, Morocco)

  • Abdelghani Chehbouni

    (International Water Research Institute, Mohammed VI Polytechnic University, Ben Guerir 43150, Morocco
    CESBIO, Université de Toulouse, CNRS, CNES, IRD, BPI 280, CEDEX 9, 31065 Toulouse, France)

Abstract

In arid to semi-arid regions, vulnerability to climate change combined with the overexploitation of water resources is jeopardizing food security. In the Souss-Massa region in central Morocco, the rural population relies on growing olives for a living. The management of these orchards is mostly traditional under rainfed irrigation, which induces a high level of dependence on climate variability. In the present study, we investigate the long-term trends of the relationship between the observed olive yields and global climate patterns during the period 1973–2014. We apply lagged Spearman’s correlations and cross-wavelet analysis to detect the potential influence of El Niño-southern oscillation (ENSO), the Indian Ocean Dipole (IOD), North Atlantic oscillation (NAO) and Pacific decadal oscillation (PDO) on the yield variability of olive orchards. The results of a Mann-Kendall test show a statistically significant decreasing trend in olive yields during the studied period. Statistically significant negative correlations were observed for (lag = −1) with spring and summer NINO 3.4 and with summer and autumn PDO. No statistically significant correlations between olive yields and NAO and IOD were observed. The results of wavelet coherence between annual olive yields and PDO and ENSO revealed that the highest values of power spectrum coherence occurred during the (lag = 0) spring PDO and (lag = −1) spring ENSO, both with an antiphase relationship. During the studied period, the extreme events of El Niña and El Niño years corresponded to below average yields.

Suggested Citation

  • Houria Abahous & Lhoussaine Bouchaou & Abdelghani Chehbouni, 2021. "Global Climate Pattern Impacts on Long-Term Olive Yields in Northwestern Africa: Case from Souss-Massa Region," Sustainability, MDPI, vol. 13(3), pages 1-12, January.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:3:p:1340-:d:488278
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/3/1340/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/3/1340/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Matias Heino & Michael J. Puma & Philip J. Ward & Dieter Gerten & Vera Heck & Stefan Siebert & Matti Kummu, 2018. "Two-thirds of global cropland area impacted by climate oscillations," Nature Communications, Nature, vol. 9(1), pages 1-10, December.
    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. Cao, Juan & Zhang, Zhao & Tao, Fulu & Chen, Yi & Luo, Xiangzhong & Xie, Jun, 2023. "Forecasting global crop yields based on El Nino Southern Oscillation early signals," Agricultural Systems, Elsevier, vol. 205(C).
    2. Anjar Dimara Sakti & Wataru Takeuchi, 2020. "A Data-Intensive Approach to Address Food Sustainability: Integrating Optic and Microwave Satellite Imagery for Developing Long-Term Global Cropping Intensity and Sowing Month from 2001 to 2015," Sustainability, MDPI, vol. 12(8), pages 1-27, April.

    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:jsusta:v:13:y:2021:i:3:p:1340-:d:488278. 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.