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Desertification Sensitivity Analysis Using MEDALUS Model and GIS: A Case Study of the Oases of Middle Draa Valley Morocco

机译:基于MEDALUS模型和GIS的沙漠化敏感性分析-以摩洛哥中部Draa谷绿洲为例。

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摘要

Oases can play a significant role in the sustainable economic development of arid and Saharan regions. The aim of this study was to map the desertification-sensitive areas in the Middle Draa Valley (MDV), which is in the southeast of Morocco. A total of 13 indices that affect desertification processes were identified and analyzed using a geographic information system. The Mediterranean desertification and land use approach; which has been widely used in the Mediterranean regions due to its simplicity; flexibility and rapid implementation strategy; was applied. All the indices were grouped into four main quality indices; i.e., soil quality; climate quality; vegetation quality and management quality indices. Each quality index was constructed by the combination of several sub-indicators. In turn; the geometric mean of the four quality index maps was used to construct a map of desertification-sensitive areas; which were classified into four classes (i.e., low; moderate; high and very high sensitivity). Results indicated that only 16.63% of the sites in the study were classified as least sensitive to desertification; and 50.34% were classified as highly and very highly sensitive areas. Findings also showed that climate and human pressure factors are the most important indicators affecting desertification sensitivity in the MDV. The framework used in this research provides suitable results and can be easily implemented in similar oasis arid areas.
机译:绿洲可以在干旱和撒哈拉沙漠地区的可持续经济发展中发挥重要作用。这项研究的目的是绘制摩洛哥东南部中德拉地区(MDV)沙漠化敏感地区的地图。使用地理信息系统识别并分析了总共13个影响荒漠化进程的指标。地中海荒漠化和土地利用方法;由于其简单性,已在地中海地区广泛使用;灵活性和快速实施战略;已应用。所有指标分为四个主要质量指标。即土壤质量;气候质量;植被质量和管理质量指标。每个质量指标都是由几个子指标组成的。反过来;用四个质量指标图的几何均值绘制荒漠化敏感区图。分为四类(低,中,高和非常高的灵敏度)。结果表明,在研究中只有16.63%的地区被归类为对荒漠化最不敏感的地区。 50.34%被划分为高度和非常高度敏感的区域。研究结果还表明,气候和人为压力因素是影响MDV中沙漠化敏感性的最重要指标。本研究中使用的框架提供了合适的结果,并且可以在类似的绿洲干旱地区轻松实现。

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