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首页> 外文期刊>European Journal of Soil Science >Indicators for the estimation of vulnerability to land degradation derived from soil compaction and vegetation cover
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Indicators for the estimation of vulnerability to land degradation derived from soil compaction and vegetation cover

机译:估算因土壤压实和植被覆盖而对土地退化的脆弱性的指标

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摘要

The increasing incidence of soil degradation requires monitoring strategies adapted to the scale of interest. We propose an innovative approach to the large-scale investigation of predominantly green areas where healthy vegetation is the clue to identifying vital and protected soil. We started with the well-established environmentally sensitive areas (ESA) model, which provides an evaluation of overall land vulnerability that is based on structural, biophysical and socio-economic indicators. To improve the estimation of soil vulnerability, we integrated information on the potential extent of compaction caused by agricultural machinery. To differentiate the degree of degradation in areas that show similar potential vulnerability we included information on the temporal variation of photosynthetic activity in the model for early detection of the soil's reduced ability to carry out ecosystem services and functions. Satellite data were used to obtain vegetation cover properties to integrate into the ESA model to improve estimation of land degradation in southern Italy, where both natural and agricultural areas are widespread. Inclusion of the temporal dimension is essential for discriminating between different degrees of soil productivity in areas characterized by similar structural conditions. Our procedure is adaptable, user-friendly and easily transferable.
机译:土壤退化的发生率越来越高,需要采用适合所关注规模的监测策略。我们提出了一种创新的方法来对主要为绿色的区域进行大规模调查,在这些区域中,健康的植被是识别重要的和受保护的土壤的线索。我们从建立良好的环境敏感区(ESA)模型开始,该模型基于结构,生物物理和社会经济指标对土地的总体脆弱性进行评估。为了提高对土壤脆弱性的估计,我们综合了有关农业机械造成压实的潜在程度的信息。为了区分表现出类似潜在脆弱性的地区的退化程度,我们在模型中纳入了有关光合作用活动的时间变化的信息,以便尽早发现土壤进行生态系统服务和功能的能力下降。卫星数据被用于获取植被覆盖度特性,以整合到ESA模型中,以改善对意大利南部的土地退化的估计,那里自然和农业地区都很普遍。包含时间维度对于区分以相似结构条件为特征的区域中不同程度的土壤生产力至关重要。我们的程序适应性强,用户友好且易于转移。

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