首页> 外文期刊>Journal of Water and Land Development >Assessment and mapping of desertification sensitivity with MEDALUS model and GIS a?? Case study: basin of Hodna, Algeria
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Assessment and mapping of desertification sensitivity with MEDALUS model and GIS a?? Case study: basin of Hodna, Algeria

机译:利用MEDALUS模型和GIS对荒漠化敏感性进行评估和制图案例研究:阿尔及利亚霍德纳盆地

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In Algeria, desertification risk is one of the main environmental and also social and economic problems. As much as 20 million hectares of northern Algeria are highly exposed and vulnerable to desertification with large areas falling into his a??severea?? risk category, because the present massive destruction of vegetation and soils. This study aimed to use geographic information system (GIS) for mapping environmentally sensitive areas to desertification based on Mediterranean Desertification and Land Use (MEDALUS) approach in basin of Hodna, Algeria. Sensitivity is estimated with a modification of the MEDALUS environmentally sensitive area index (ESAI) which identifies such areas on the basis of an index (ESAI) that incorporates data on environmental quality (climate, vegetation, soil) as well as anthropogenic factors. This methodology allows the classification of land in critical, fragile and potentially sensitive areas. The results obtained show that 61% of the area is classified potentially sensitive to low sensitivity. These areas are particularly located in mountain areas. Spatially, the areas sensitive to degradation are as well in the lower region of the Hodna in Highlands consisting mostly of steppe route. The factors that could explain these variations of sensitivity are related mainly to changes in precipitation between the North and the South altitude and pressure of the population and livestock.
机译:在阿尔及利亚,荒漠化风险是主要的环境问题以及社会和经济问题之一。阿尔及利亚北部多达2000万公顷的土地高度暴露,易受荒漠化的影响,大面积土地陷入他的“重灾区”。危险类别,因为目前植被和土壤遭到大规模破坏。这项研究旨在利用地理信息系统(GIS),基于阿尔及利亚霍德纳盆地的地中海荒漠化和土地利用(MEDALUS)方法,将环境敏感地区映射到荒漠化。通过对MEDALUS环境敏感区指数(ESAI)进行修改来估算敏感度,该指数根据包含环境质量(气候,植被,土壤)和人为因素的数据的指数(ESAI)来识别这些区域。这种方法可以对关键,脆弱和潜在敏感地区的土地进行分类。获得的结果表明,该区域的61%被归类为可能对低灵敏度敏感。这些地区尤其位于山区。在空间上,对退化敏感的地区也在高地的霍德纳河下游地区,主要由草原构成。可以解释这些敏感性变化的因素主要与南北海拔之间的降水变化以及人口和牲畜的压力有关。

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