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Article

Soil Erosion Risk Analysis in the Ría de Arosa (Pontevedra, Spain) Using the RUSLE and GIS Techniques

by
Carlos E. Nieto
1,*,
Antonio Miguel Martínez-Graña
1 and
Leticia Merchán
2
1
Department of Geology, Faculty of Sciences, Merced Square, University of Salamanca, 37008 Salamanca, Spain
2
Department of Soil Sciences, Faculty of Agricultural and Environmental Sciences, University of Salamanca, Filiberto Villalobos Avenue, 119, 37007 Salamanca, Spain
*
Author to whom correspondence should be addressed.
Forests 2024, 15(9), 1481; https://doi.org/10.3390/f15091481
Submission received: 12 July 2024 / Revised: 14 August 2024 / Accepted: 21 August 2024 / Published: 23 August 2024

Abstract

Soil erosion in coastal areas, driven by global change and human activity, poses a significant threat to ecological and economic stability. This research investigates water erosion in the southeast of the Ría de Arosa (Pontevedra, Spain), utilizing the Revised Universal Soil Loss Equation model and Geographic Information System technologies. Key factors analyzed include rainfall erosivity, soil erodibility, topography, land cover, and conservation practices. High-resolution maps (1 × 1 m pixels) identified areas at high risk of erosion. Vulnerable zones, such as coastal cliffs and vineyards, show severe erosion rates exceeding 50 t/ha/year (>5 mm/year), with the most extreme zones reaching up to 200 t/ha/year (>200 mm/year). These results emphasize that intervention could be required or recommended. Suggested measures include reforestation, effective agricultural land management, or the implementation of vegetative barriers to reduce erosion. These areas, characterized by steep slopes and sparse vegetation, are particularly susceptible to soil loss, necessitating specific conservation efforts. The results underscore the need for sustainable coastal management practices and preventive strategies to protect this vulnerable coastal zone. Implementing these measures is crucial to mitigating the impacts of soil erosion, preserving natural resources, and ensuring long-term ecological and economic resilience in the region.
Keywords: soil erosion; erosion risk; RUSLE; GIS; coastal management soil erosion; erosion risk; RUSLE; GIS; coastal management

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MDPI and ACS Style

Nieto, C.E.; Martínez-Graña, A.M.; Merchán, L. Soil Erosion Risk Analysis in the Ría de Arosa (Pontevedra, Spain) Using the RUSLE and GIS Techniques. Forests 2024, 15, 1481. https://doi.org/10.3390/f15091481

AMA Style

Nieto CE, Martínez-Graña AM, Merchán L. Soil Erosion Risk Analysis in the Ría de Arosa (Pontevedra, Spain) Using the RUSLE and GIS Techniques. Forests. 2024; 15(9):1481. https://doi.org/10.3390/f15091481

Chicago/Turabian Style

Nieto, Carlos E., Antonio Miguel Martínez-Graña, and Leticia Merchán. 2024. "Soil Erosion Risk Analysis in the Ría de Arosa (Pontevedra, Spain) Using the RUSLE and GIS Techniques" Forests 15, no. 9: 1481. https://doi.org/10.3390/f15091481

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