Indicators of Land Degradation Vulnerability due to Anthropic Factors: Tools for an Efficient Planning

نویسندگان

  • V. Imbrenda
  • T. Simoniello
چکیده

Land degradation is one of the most impacting phenomena on natural resource availability, both in quantitative and qualitative terms. In order to provide efficient tools for territorial sustainable management in areas affected by land degradation, it is important to define suitable models and indicators able to identify exposed areas and their vulnerability level, so as to provide an effective support for decision makers in identifying intervention priorities and planning mitigation/adaptation strategies. This work is focused on the evaluation at high spatial detail of land degradation vulnerability due to anthropic factors, which is a crucial issue in areas devoted to farming practices. Vulnerability is evaluated by integrating a new indicator of the mechanization level the authors recently developed, with a set of census based indicators of land management. The new indicator is independent of census data being based on land cover data; thus, it can provide a better spatial characterization and a more frequent updating compared to commonly adopted indices that are evaluated at municipal scale. By analyzing data for the whole Southern Italy, such an indicator was integrated for the first time at full spatial resolution to obtain a final vulnerability index of land management. This comprehensive index enabled a more accurate estimation of the land degradation vulnerability due to anthropic factors allowing the discrimination of priority areas within the municipal areas. Indicators of Land Degradation Vulnerability due to Anthropic Factors: Tools for an Efficient Planning V. Imbrenda University of Basilicata, Italy & National Research Council of Italy, Institute of Methodologies for Environmental Analysis, Italy M. D’Emilio Institute of Methodologies for Environmental Analysis, Italy M. Lanfredi Institute of Methodologies for Environmental Analysis, Italy M. Ragosta University of Basilicata, Italy DOI: 10.4018/978-1-4666-4852-4.ch078 T. Simoniello Institute of Methodologies for Environmental Analysis, Italy

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تاریخ انتشار 2016