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Remote Sensing Technologies for Monitoring Argane Forest Stands: A Comprehensive Review

Author

Listed:
  • Mohamed Mouafik

    (Botany, Mycology and Environment Laboratory, Department of Biology, Faculty of Sciences, Mohammed V University, Rabat 10050, Morocco)

  • Abdelghani Chakhchar

    (École Normale Supérieure Marrakech, Cadi Ayyad University, Marrakech 40000, Morocco)

  • Mounir Fouad

    (National Forestry School of Engineers, Sale 11000, Morocco)

  • Ahmed El Aboudi

    (Botany, Mycology and Environment Laboratory, Department of Biology, Faculty of Sciences, Mohammed V University, Rabat 10050, Morocco)

Abstract

This comprehensive review explores the ecological significance of the Argane stands ( Argania spinosa ) in southwestern Morocco and the pivotal role of remote sensing technology in monitoring forest ecosystems. Argane stands, known for their resilience in semi-arid and arid conditions, serve as a keystone species, preventing soil erosion, maintaining ecological balance, and providing habitat and sustenance to diverse wildlife species. Additionally, they produce an extremely valuable Argane oil, offering economic opportunities and cultural significance to local communities. Remote sensing tools, including satellite imagery, LiDAR, drones, radar, and GPS precision, have revolutionized our capacity to remotely gather data on forest health, cover, and responses to environmental changes. These technologies provide precise insights into canopy structure, density, and individual tree health, enabling assessments of Argane stand populations and detection of abiotic stresses, biodiversity, and conservation evaluations. Furthermore, remote sensing plays a crucial role in monitoring vegetation health, productivity, and drought stress, contributing to sustainable land management practices. This review underscores the transformative impact of remote sensing in safeguarding forest ecosystems, particularly the Argane forest stands, and highlights its potential for continued advancements in ecological research and conservation efforts.

Suggested Citation

  • Mohamed Mouafik & Abdelghani Chakhchar & Mounir Fouad & Ahmed El Aboudi, 2024. "Remote Sensing Technologies for Monitoring Argane Forest Stands: A Comprehensive Review," Geographies, MDPI, vol. 4(3), pages 1-21, July.
    • Handle: RePEc:gam:jgeogr:v:4:y:2024:i:3:p:24-461:d:1443343
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    References listed on IDEAS

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    3. Lybbert, Travis J. & Magnan, Nicholas & Aboudrare, Abdellah, 2010. "Household and local forest impacts of Morocco's argan oil bonanza," Environment and Development Economics, Cambridge University Press, vol. 15(4), pages 439-464, August.
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    Cited by:

    1. Jin-Soo Kim & Sang-Min Sung & Ki-Suk Back & Yong-Su Lee, 2024. "Accuracy Assessment of Advanced Laser Scanner Technologies for Forest Survey Based on Three-Dimensional Point Cloud Data," Sustainability, MDPI, vol. 16(23), pages 1-15, December.

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