Abstract This paper studies the assessment of sensitivity to land degradation of Deliblato sands (the northern part of Serbia), as a special nature reserve. Sandy soils of Deliblato sands are highly sensitive to degradation (given their fragility), while the system of land use is regulated according to the law, consisting of three zones under protection. Based on the MEDALUS approach and the characteristics of the study area, four main factors were considered for evaluation: soil, climate, vegetation and management. Several indicators affecting the quality of each factor were identified. Each indicator was quantified according to its quality and given a weighting of between 1.0 and 2.0. ArcGIS 9 was utilized to analyze and prepare the layers of quality maps, using the geometric mean to integrate the individual indicator map. In turn, the geometric mean of all four quality indices was used to generate sensitivity of land degradation status map. Results showed that 56.26% of the area is classified as critical; 43.18% as fragile; 0.55% as potentially affected and 0.01% as not affected by degradation. The values of vegetation quality index, expressed as coverage, diversity of vegetation functions and management policy during the protection regime are clearly represented through correlation coefficient (0.87 and 0.47).

中文翻译：

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使用 MEDALUS 模型进行退化土地敏感性分析：以塞尔维亚 Deliblato Sands 为例

摘要 本文研究了 Deliblato 沙地（塞尔维亚北部）作为一个特殊的自然保护区对土地退化的敏感性评估。Deliblato 沙的沙质土壤对退化高度敏感（鉴于它们的脆弱性），而土地利用系统则依法进行管理，由三个受保护区域组成。基于MEDAUS方法和研究区的特点，考虑四个主要因素进行评价：土壤、气候、植被和管理。确定了影响每个因素质量的几个指标。每个指标都根据其质量进行量化，并赋予 1.0 到 2.0 之间的权重。ArcGIS 9 被用来分析和准备质量地图的图层，使用几何平均值来整合单个指标图。反过来，所有四个质量指数的几何平均值用于生成土地退化状况图的敏感性。结果显示，56.26% 的区域被归类为关键区域；43.18% 为脆弱；0.55% 为潜在影响，0.01% 为不受降解影响。植被质量指数的值，以覆盖率、植被功能多样性和保护制度期间的管理政策表示，通过相关系数（0.87和0.47）得到明确表示。