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A Naturalistic Indicator of the Forest Quality and its Relationship with the Land Use Anthropentropy Factor: Theory, Tools, and Results for an Italian Case Study

机译:森林质量的自然主义指标及其与土地的关系利用乌培训因子:意大利案例研究的理论,工具和结果

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This paper describes a new indicator related to an important aspect of the forest landscape: the quality, expressed by the forest floristic composition, according to the phytosociological approach. Furthermore, the relationship with an existing land use indicator, the Anthropentropy Factor, is investigated. Another novelty of this research is its multidisciplinary approach: we combine the classical algorithms of computer vision systems to process the images from GIS (Geographic Information System) databases with the necessary expertise provided by the biological knowledge. The goal is to build a deep knowledge about some aspects of biodiversity preservation, by studying the impact of anthropic activities, both inside (urbanization) and outside (forests) the areas occupied by human settlements. We define two metrics to classify the levels of land use and forest quality status. The knowledge coming from the computation of the two indicators and the corresponding metrics can be used for policy actions, to guide local government decisions for biodiversity conservation in the landscape planning. The two indicators and the methodological approach are validated by presenting experimental results on a case study of a North-West area of Italy.
机译:本文介绍了与森林景观的一个重要方面相关的新指标:根据植物遗传学方法,由森林植物组成表示的质量。此外,研究了与现有的土地使用指标,拟人特性因子的关系。这项研究的另一个新颖性是其多学科方法:我们将计算机视觉系统的经典算法结合起来处理来自GIS(地理信息系统)数据库的图像,并通过生物知识提供的必要专业知识。目标是通过研究人类住区内外(城市化)和外部(森林)的影响,对生物多样性保存的某些方面进行深入了解生物多样性保存的一些方面。我们定义了两项指标,以分类土地利用水平和森林质量状况。来自计算两项指标和相应度量的知识可用于政策行动,以指导景观规划中的地方政府对生物多样性保护的决策。通过对意大利西北地区的实验研究呈现实验结果,验证了这两种指标和方法。

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