期刊
LANDSCAPE AND URBAN PLANNING
卷 100, 期 1-2, 页码 98-108出版社
ELSEVIER
DOI: 10.1016/j.landurbplan.2010.11.012
关键词
Landscape inventory; Multi-disciplinary approach; Hierarchical classification; Traditional land-use; Rural heritage features; Agroforestry systems
类别
资金
- Italian Ministry of Research and University Education [2007S2CNC4]
- Regional Project Catalogo dei paesaggi tradizionali agrari e agroforestali
Traditional cultural landscapes (TCLs) are prominent in Mediterranean countries. The abundance of this landscape type, however, is not reflected by broad-scale inventories and mapping tools. The aim of this paper is to highlight the need for a multidisciplinary approach to landscape analysis, with special reference to the Mediterranean area. We propose an integrated method that combines deductive and inductive processes to define and map TCLs in a study area (Mount Etna, Sicily, Italy). We also develop a procedure to characterize the primary components of these landscapes as a reference to be used in cultural-landscape descriptions. For mapping purposes, three different scales of analysis were examined to select appropriate data-sets of interest. At the broadest scale (1:250,000-100,000), land systems of territorial contexts (LSTCs) were detected by overlaying climatic, lithomorphological and topological maps. At the second level (1:100,000-25,000), landscapes of main agroforestry systems (LMASs) were identified by adding primary land-cover and land-use maps. At the third and most detailed scale (1:25,000-10,000), TCLs were specified using detailed land-use maps of traditional agro-forestry systems. This procedure provides a tool to define and characterize the primary components of TCLs and to designate specific characters of importance (e.g., landscape composition and configuration, traditional techniques of land-management, and heritage features). By following this procedure, we detect a large number of TCLs in the Mt. Etna region, an important and representative area of Mediterranean cultural landscapes. (C) 2010 Elsevier B.V. All rights reserved.
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