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

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...

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Main Authors: Valentina Santarsiero, Antonio Lanorte, Gabriele Nolè, Giuseppe Cillis, Biagio Tucci, Beniamino Murgante
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Land
Subjects:
Online Access:https://www.mdpi.com/2073-445X/12/3/645
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author Valentina Santarsiero
Antonio Lanorte
Gabriele Nolè
Giuseppe Cillis
Biagio Tucci
Beniamino Murgante
author_facet Valentina Santarsiero
Antonio Lanorte
Gabriele Nolè
Giuseppe Cillis
Biagio Tucci
Beniamino Murgante
author_sort Valentina Santarsiero
collection DOAJ
description 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.
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spelling doaj.art-e456c0521a1c45a2a228885544a0c8462023-11-17T12:07:22ZengMDPI AGLand2073-445X2023-03-0112364510.3390/land12030645Analysis of the Effect of Soil Erosion in Abandoned Agricultural Areas: The Case of NE Area of Basilicata Region (Southern Italy)Valentina Santarsiero0Antonio Lanorte1Gabriele Nolè2Giuseppe Cillis3Biagio Tucci4Beniamino Murgante5CNR IMAA, Tito Scalo, 85050 Potenza, ItalyCNR IMAA, Tito Scalo, 85050 Potenza, ItalyCNR IMAA, Tito Scalo, 85050 Potenza, ItalyCNR IMAA, Tito Scalo, 85050 Potenza, ItalyCNR IMAA, Tito Scalo, 85050 Potenza, ItalySchool of Engineering, University of Basilicata, 85100 Potenza, ItalyLand 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.https://www.mdpi.com/2073-445X/12/3/645land abandonmentsoil erosionremote sensingGIS
spellingShingle Valentina Santarsiero
Antonio Lanorte
Gabriele Nolè
Giuseppe Cillis
Biagio Tucci
Beniamino Murgante
Analysis of the Effect of Soil Erosion in Abandoned Agricultural Areas: The Case of NE Area of Basilicata Region (Southern Italy)
Land
land abandonment
soil erosion
remote sensing
GIS
title Analysis of the Effect of Soil Erosion in Abandoned Agricultural Areas: The Case of NE Area of Basilicata Region (Southern Italy)
title_full Analysis of the Effect of Soil Erosion in Abandoned Agricultural Areas: The Case of NE Area of Basilicata Region (Southern Italy)
title_fullStr Analysis of the Effect of Soil Erosion in Abandoned Agricultural Areas: The Case of NE Area of Basilicata Region (Southern Italy)
title_full_unstemmed Analysis of the Effect of Soil Erosion in Abandoned Agricultural Areas: The Case of NE Area of Basilicata Region (Southern Italy)
title_short Analysis of the Effect of Soil Erosion in Abandoned Agricultural Areas: The Case of NE Area of Basilicata Region (Southern Italy)
title_sort analysis of the effect of soil erosion in abandoned agricultural areas the case of ne area of basilicata region southern italy
topic land abandonment
soil erosion
remote sensing
GIS
url https://www.mdpi.com/2073-445X/12/3/645
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