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Towards reconstructing rural landscapes: A case study of Italian Mongardino
Journal of Rural Studies ( IF 5.1 ) Pub Date : 2021-07-13 , DOI: 10.1016/j.jrurstud.2021.06.021
Fabrizio Aimar 1 , Paola Gullino 2 , Marco Devecchi 2, 3
Affiliation  

This paper intends to propose an integrated methodology for reconstructing the rural landscape of Mongardino, a municipality in the cross-border area of the UNESCO Buffer Zone of the ‘Vineyard Landscape of Piedmont: Langhe-Roero and Monferrato’. A multi-source approach was established to detect land use changes that occurred in its dynamic agricultural mosaic from the 17th century to date and intuiting future land-use variations. Qualitative comparisons have combined literature, historical maps from archives, repeated photo- and postcard-based research, statistical dataset interpretations and WebGIS surveys. This research has delineated the significance of historical studies to detect and interpret current matrices of change and build an enhanced comprehension of the evolutionary trajectories of a wine-growing landscape over time. Findings reveal that changes do not follow administrative boundaries but rather linear, non-linear, external and internal dynamics that are local and context-dependent. On the one hand, no asymmetries or prevailing trends have been found between the areas encompassed or not in the UNESCO Buffer Zone. On the other hand, land-use and historical permanencies are detected as indicators of integrity and qualifying landscape elements upon which to build rural strategies and policies for local-based landscape planning and management.



中文翻译:

重建乡村景观:以意大利蒙加迪诺为例

本文旨在提出一种综合方法来重建蒙加迪诺的乡村景观,蒙加迪诺是联合国教科文组织“皮埃蒙特葡萄园景观:朗格-罗埃罗和蒙费拉托”缓冲区跨境地区的一个自治市。建立了一种多源方法来检测从 17 世纪至今的动态农业镶嵌中发生的土地利用变化,并直观地了解未来的土地利用变化。定性比较结合了文献、档案中的历史地图、重复的基于照片和明信片的研究、统计数据集解释和 WebGIS 调查。这项研究描绘了历史研究的重要性,以检测和解释当前的变化矩阵,并增强对葡萄种植景观随时间推移的进化轨迹的理解。调查结果表明,变化不遵循行政边界,而是线性、非线性、外部和内部动态,这些动态与本地和上下文相关。一方面,在教科文组织缓冲区所包含或不包含的区域之间没有发现不对称或普遍趋势。另一方面,土地利用和历史永久性被检测为完整性和合格景观元素的指标,在​​此基础上为当地景观规划和管理制定农村战略和政策。

更新日期:2021-07-13
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