Landscape Analysis and Coastal Planning: Ría de Arosa (Pontevedra, Spain)

Carlos E. Nieto (), Antonio Miguel Martínez-Graña and Leticia Merchán
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Carlos E. Nieto: Department of Geology, Faculty of Sciences, Merced Square, University of Salamanca, 37008 Salamanca, Spain
Antonio Miguel Martínez-Graña: Department of Geology, Faculty of Sciences, Merced Square, University of Salamanca, 37008 Salamanca, Spain
Leticia Merchán: Department of Soil Sciences, Faculty of Agricultural and Environmental Sciences, University of Salamanca, Filiberto Villalobos Avenue, 119, 37007 Salamanca, Spain

Land, 2024, vol. 13, issue 5, 1-24

Abstract: Coastal areas are fundamental enclaves for economic and recreational development, attracting a large population worldwide. However, these factors have generated significant pressure on the coastal landscape, requiring territorial management strategies to protect and control its degradation. The coastal landscape, composed of abiotic and biotic elements, plays a crucial role in human wellbeing and the conservation of the natural environment. This study focuses on the southeast area of the Ría de Arosa, on the western coast of Galicia, known for its unique geomorphological features such as estuaries. The main objective is to generate high-resolution thematic maps for territorial planning and conservation of the natural and cultural landscape. Using methodologies based on geographic information systems, various factors of the natural environment will be analyzed to obtain objective results, presenting cartography of landscape units, along with quality and fragility landscape maps. In addition, active strategies are proposed such as multiple land uses or the development of geotourism to preserve, exploit, and manage the landscape better. This work contributes to better understanding the vulnerability of the coastal landscape and provides practical tools for its sustainable management in a context of accelerated global change.

Keywords: landscape units; landscape quality; landscape fragility; coastal planning; GIS (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
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