Affiliation:
1. Botany, Mycology and Environment Laboratory, Department of Biology, Faculty of Sciences, Mohammed V University, Rabat 10050, Morocco
2. École Normale Supérieure Marrakech, Cadi Ayyad University, Marrakech 40000, Morocco
3. National Forestry School of Engineers, Sale 11000, 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.
Reference177 articles.
1. Chakhchar, A., Ben Salah, I., El Kharrassi, Y., Filali-Maltouf, A., El Modafar, C., and Lamaoui, M. (2022). Agro-Fruit-Forest Systems Based on Argan Tree in Morocco: A Review of Recent Results. Front. Plant Sci., 12.
2. El Aboudi, A. (1990). Typologie Des Arganeraies Inframéditerranéennes et Écophysiologie de L’arganier (Argania spinosa (L.) Skeels) Dans Le Sous (Maroc). [Ph.D. Thesis, Université Joseph Fourier].
3. Ganz, S., Adler, P., and Kändler, G. (2020). Forest Cover Mapping Based on a Combination of Aerial Images and Sentinel-2 Satellite Data Compared to National Forest Inventory Data. Forests, 11.
4. Blackman, R., and Yuan, F. (2020). Detecting Long-Term Urban Forest Cover Change and Impacts of Natural Disasters Using High-Resolution Aerial Images and LiDAR Data. Remote Sens., 12.
5. Forestry Applications of UAVs in Europe: A Review;Torresan;Int. J. Remote Sens.,2017