EGU21-8448
https://doi.org/10.5194/egusphere-egu21-8448
EGU General Assembly 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Assessing farmers’ irrigation practices under drought conditions in semi-arid area: Combining remote sensing data and agro-hydrological modeling

Adnane Labbaci1, Youssef Brouziyne2, Jamal Hallam3, and Lahoussaine Bouchaou4
Adnane Labbaci et al.
  • 1Geosciences and Geo-Environment Laboratory, Geology Department, Faculty of Sciences of Agadir, Ibn Zohr University, Agadir, Morocco
  • 2International Water Research Institute, Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco
  • 3Soil and Water Management / Soil Health, National Institute of Agricultural Research-Agadir, Inezgane, Morocco
  • 4Applied Geology and Geo-Environment Laboratory, Geology Department, Faculty of Sciences of Agadir, Ibn Zohr University, Agadir, Morocco

Drought is a serious natural hazard with far-reaching impacts including modification of biodiversity and other ecosystem functions, economic disruption, and a threat to human livelihoods and health through food systems alteration. Climate models project robust increases in drought and dryness in the Mediterranean region because of changing climate conditions.  Despite the scarcity of water, irrigated agriculture plays a major socio-economic role in groundwater-dependent irrigated regions of Morocco. Strategic sectors such as citrus rely on irrigation to maintain or even increase production and citrus stakeholders put sustainable irrigation management at the top priorities. This study aims to assess seasonal drought severity in the Souss plain, the largest citrus’ growing area in Morocco, using VCI (Vegetation Condition Index), TCI (Temperature Condition Index), and VHI (Vegetation Health Index) based on Sentinel-2 and Landsat 8 data. We explored the benefits of using the Soil Water Atmosphere Plant (SWAP) agro-hydrological model to optimize irrigation water management of a citrus orchard. The SWAP model was applied over three growing seasons from 2016 to 2019 to optimize seasonal water supply based on different criteria (e.g., critical soil pressure head and allowable daily stress), particularly during the drought episodes. The VHI was estimated and classified into five classes: extreme, severe, moderate, mild, and no drought. Key outputs of the SWAP model show that the farmers’ irrigation practices did not compensate for the lack of rainfall in the spring, which led to long-term unavailable water during crop development. The SWAP predictive model determined the optimal amount of water and irrigation scheduling systems to make efficient use of while maintaining appropriate yields. The developed algorithm simulation uses the minimal sufficient seasonal amount of water. The designed approach helps prevent critical stress in citrus orchards together with sustainable water distribution in accordance with best agronomic practices.

Keywords: Citrus, drought, water scarcity, sustainable irrigation management, VHI, VCI, TCI, SWAP, Souss plain

How to cite: Labbaci, A., Brouziyne, Y., Hallam, J., and Bouchaou, L.: Assessing farmers’ irrigation practices under drought conditions in semi-arid area: Combining remote sensing data and agro-hydrological modeling, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-8448, https://doi.org/10.5194/egusphere-egu21-8448, 2021.