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Analysis of the Effect of Soil Erosion in Abandoned Agricultural Areas: The Case of NE Area of Basilicata Region (Southern Italy)

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  • Valentina Santarsiero

    (CNR IMAA, Tito Scalo, 85050 Potenza, Italy
    School of Engineering, University of Basilicata, 85100 Potenza, Italy
    CNR IGAG, Area Della Ricerca di Roma 1, Strada Provinciale 35d, 00185 Rome, Italy)

  • Antonio Lanorte

    (CNR IMAA, Tito Scalo, 85050 Potenza, Italy)

  • Gabriele Nolè

    (CNR IMAA, Tito Scalo, 85050 Potenza, Italy)

  • Giuseppe Cillis

    (CNR IMAA, Tito Scalo, 85050 Potenza, Italy)

  • Biagio Tucci

    (CNR IMAA, Tito Scalo, 85050 Potenza, Italy)

  • Beniamino Murgante

    (School of Engineering, University of Basilicata, 85100 Potenza, Italy)

Abstract

Land abandonment is among the most complex la nd use change processes driven by a multiplicity of anthropogenic and natural factors, such as agricultural over-exploitation, implementation of agricultural policies, socio-economic and climatic aspects. Therefore, it is necessary to deepen the effects of land abandonment based on methodologies that are as multidisciplinary as possible. Environmental and social problems related to abandonment include soil erosion and environmental degradation. Approaches combining GIS (Geographic Information System), remote sensing, and image analysis techniques allow for assessments and predictions based on integrating theoretical models with advanced geospatial and geostatistical models. One of the most widely used models for soil erosion estimation is the Revised Universal Soil Loss Equation (RUSLE). The present work developed a model using remote sensing and GIS tools to investigate some factors of the RUSLE equation to evaluate the adverse effects of soil erosion in areas covered by arable crops and subsequently abandoned. To identify potentially degraded areas, two factors of the RUSLE were related: the C Factor describing the vegetation cover of the soil and the A Factor representing the amount of potential soil erosion. Through statistical correlation analysis with the RUSLE factors, based on the deviations from the average erosion values and mapping of the areas of vegetation degradation relating to arable land, the areas identified and mapped are susceptible to soil degradation.

Suggested Citation

  • Valentina Santarsiero & Antonio Lanorte & Gabriele Nolè & Giuseppe Cillis & Biagio Tucci & Beniamino Murgante, 2023. "Analysis of the Effect of Soil Erosion in Abandoned Agricultural Areas: The Case of NE Area of Basilicata Region (Southern Italy)," Land, MDPI, vol. 12(3), pages 1-22, March.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:3:p:645-:d:1091823
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    References listed on IDEAS

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    7. Lia Duarte & Mário Cunha & Ana Cláudia Teodoro, 2021. "Comparing Hydric Erosion Soil Loss Models in Rainy Mountainous and Dry Flat Regions in Portugal," Land, MDPI, vol. 10(6), pages 1-18, May.
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