摩洛哥森林退化:以本斯里曼省为例

IF 0.8 Q2 Environmental Science
A. Hammouyat, A. Ichen, M. Elmalki, D. Chahhou
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引用次数: 0

摘要

本文旨在通过使用遥感技术(1990-2000-2010-2020年的空间图像)制作土地覆盖图,阐明1990-2020年期间本斯里曼省森林面积已知退化的过程,并指明导致这一过程的最重要的人类原因(采石场、建成区的扩展、农业活动的影响、放牧和木柴的收集)。采用空间精度为30 m的Landsat 5 TM、Landsat 7 ETM+和Landsat 8 OLI卫星影像,利用QGIS中的半自动分类插件(SCP)进行大气校正,利用光谱角映射算法进行影像分类。Kappa系数的评级评价分别为1990-2000-2010-2020年的比率:0.89 - -0.90 -0.90 - -0.93。结果表明:1990-2020年,本斯里曼省森林面积以200 ha/年的速度减少了11.4%,约6027.7 ha,已变为天然地或裸地;这片森林也失去了35.2%的植被密度,变得更加稀疏,而它周围的原始牧区减少了50.4%。采石场面积增长1097.4%,建成区面积增长328.2%,农业面积增长32.7%。这些结果可以用作未来研究的初步数据,并可以帮助决策者关注森林退化的真正驱动因素,以便制定干预措施,确保自然资源的可持续性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The degradation of forest areas in Morocco: Case of Benslimane province
This article aims to shed light on the process of known degradation of the forest area of Benslimane province during the period 1990–2020 and to specify the most important human causes which contributed to it (quarries, extension of the built-up area, the impact of agricultural activities, grazing and collection of firewood), by using remote sensing techniques (spatial images for the years 1990–2000–2010–2020) to produce Land Cover maps. The following satellite images were used, Landsat 5 TM, Landsat 7 ETM+ and Landsat 8 OLI, with a spatial precision of 30 m, the Semi-Automatic Classification Plugin (SCP) in QGIS was used for atmospheric correction, and the Spectral Angle Mapping algorithm for the images’ classification. The rating evaluation of the Kappa coefficient shows the following ratios for the years 1990–2000–2010–2020 respectively ; 0.89–0.90–0.90–0.93. The results showed that the forest area of Benslimane province has declined by 11.4% or about 6,027.7 ha between 1990–2020 at the rate of 200 ha/year, which has been turned into matorral land or bare land. This forest also lost 35.2% of its vegetative density and has become much sparser, while the original grazing areas surrounding it have been reduced by 50.4%. Moreover, the area of quarries increased by 1,097.4%, the percentage of built-up area increased by 328.2%, and the agricultural area expanded by 32.7%. These results can be used as preliminary data for future studies and can help policymakers focus on the real drivers of forest degradation, in order to develop interventions to ensure the sustainability of natural resources.
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CiteScore
2.40
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