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

Mohamed Mouafik, Abdelghani Chakhchar, Mounir Fouad, Ahmed El Aboudi
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引用次数: 0

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.
用于监测阿甘木林分的遥感技术:全面回顾
这篇综述探讨了摩洛哥西南部阿甘树林(Argania spinosa)的生态意义以及遥感技术在监测森林生态系统中的关键作用。阿甘油林以其在半干旱和干旱条件下的恢复力而闻名,是一种关键性物种,可防止土壤侵蚀、维持生态平衡,并为多种野生动物提供栖息地和食物。此外,它们还生产极其珍贵的阿甘油,为当地社区提供经济机会和文化意义。包括卫星图像、激光雷达、无人机、雷达和 GPS 精度在内的遥感工具彻底改变了我们远程收集有关森林健康、植被和对环境变化的反应的数据的能力。这些技术可以精确地了解树冠结构、密度和单棵树木的健康状况,从而对阿甘树群进行评估,并检测非生物压力、生物多样性和保护评估。此外,遥感技术在监测植被健康、生产力和干旱压力方面发挥着至关重要的作用,有助于可持续的土地管理实践。本综述强调了遥感技术在保护森林生态系统(尤其是阿甘林)方面的变革性影响,并突出了遥感技术在生态研究和保护工作中不断进步的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
1.70
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0.00%
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