Abstract
Soil degradation is a phenomenon that describes the degradation of soil quality due to which agricultural land in particular is unproductive as a consequence of the loss of ability to produce crops and biomass. The causes are many but, especially in the inland areas of the Mediterranean regions, some dynamics related to agriculture have particularly influenced the grading process. Specifically, agricultural over exploitation with unsustainable practices and land abandonment are causing ecological alterations that require contextual analysis to assess the medium and long-term effects. The aim of this work is to investigate the role of some factors that make up the RUSLE index have in the detection and monitoring of potentially degraded areas.In particular, the areas cultivated with arable crops were chosen as the area to be analyzed, because the average annual rate of soil erosion (A factor in RUSLE equation) is high despite the presence of vegetation cover and shown evident problems due to the phenomenon of degradation. In order to identify the potential degraded areas, two factor of RUSLE index have been correlated: C factor that describes the vegetation cover of the soil and A factor which represent the amount of potential soil erosion. All methodologies have been applied in a rural area in the northern part of Basilicata Region (Italy) using GIS and remote sensing approaches, as allows the possibility to perform a series of a complex studies and can be efficiently implemented in environmental monitoring plans.
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References
Santarsiero, V., Nolè, G., Lanorte, A., Tucci, B., Baldantoni, P., Murgante, B.: Evolution of soil consumption in the municipality of Melfi (Southern Italy) in Relation to Renewable Energy. In: Misra, S., et al. (eds.) ICCSA 2019. LNCS, vol. 11621, pp. 675–682. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-24302-9_48
Biancalani, R., Nachtergaele, F., Petri, M., Bunning, S.: Land degradation assessment in drylands methodology and results (2013)
United Nations: Convention to Combat Desertification in those Countries Experiencing Serious Drought and/or Desertification, Particularly in Africa. Int. Leg. Mater. 33 (1994). https://doi.org/10.1017/s0020782900026711
Hamdy, A., Aly, A.: Land degradation, agriculture productivity and food security. In: Fifth International Scientific Agricultural Symposium, pp. 708–717 (2014)
Munafò, M. (a cura di): Consumo di suolo, dinamiche territoriali e servizi ecosistemici. Edizione 2020 (2020). 978-88-448-0964-5
Assennato, F., et al.: Land degradation assessment for sustainable soil management. Ital. J. Agron. 15, 299–305 (2020). https://doi.org/10.4081/ija.2020.1770
Matano, A.-S., et al.: Effects of land use change on land degradation reflected by soil properties along Mara River, Kenya and Tanzania. Open J. Soil Sci. 05, 20–38 (2015). https://doi.org/10.4236/ojss.2015.51003
Basso, F., Pisante, M., Basso, B.: Soil erosion and land degradation. In: Presented at the Mediterranean Desertification, a Mosaic of Processes and Responses (2002)
Lasanta, T., Sánchez‐Navarrete, P., Medrano‐Moreno, L., Khorchani, M., Nadal-Romero, E.: Soil quality and soil organic carbon storage in abandoned agricultural lands: Effects of revegetation processes in a Mediterranean mid‐mountain area. L. Degrad. Dev. 31 (2020). https://doi.org/10.1002/ldr.3655.
Yorder, D.C, Foster, G.R., Renard, K.G.: Predicting soil erosion by water: a guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE). In: Agricultural Handbook No. 703. p. 404 (1997)
Lanorte, A., Danese, M., Lasaponara, R., Murgante, B.: Multiscale mapping of burn area and severity using multisensor satellite data and spatial autocorrelation analysis. Int. J. Appl. Earth Obs. Geoinf. 20, 42–51 (2012). https://doi.org/10.1016/j.jag.2011.09.005
Panagos, P., Borrelli, P., Meusburger, K., Alewell, C., Lugato, E., Montanarella, L.: Estimating the soil erosion cover-management factor at the European scale. Land Use Policy 48, 38–50 (2015). https://doi.org/10.1016/j.landusepol.2015.05.021
Imbrenda, V., DEmilio, M., Lanfredi, M., Simoniello, T., Ragosta, M., Macchiato, M.: Integrated indicators for the estimation of vulnerability to land degradation. In: Soil Processes and Current Trends in Quality Assessment (2013). https://doi.org/10.5772/52870
Copernicus Land Monitoring: CLC 2018—Copernicus Land Monitoring Service
Carta della Natura—Italiano, https://www.isprambiente.gov.it/it/servizi/sistema-carta-della-natura. Accessed on 03 May 2021
Welcome to the QGIS project!. https://qgis.org/en/site/. Accessed on 03 May 2021
Sentinel-2 - Data Products - Sentinel Handbook – Sentinel. https://sentinel.esa.int/web/sentinel/missions/sentinel-2/data-products. Accessed on 03 May 2021
Theia Data and Services Center – Theia. https://www.theia-land.fr/en/theia-data-and-services-center/. Accessed on 04 May 2021
Wischmeier, W.H., et Smith, D.D.: Predicting rainfall erosion losses - A guide to conservation planning. U.S. Department of Agriculture, Washington D.C., Agriculture Handbook 537, p. 58 (1978)
Lazzari, M., Gioia, D., Piccarreta, M., Danese, M., Lanorte, A.: Sediment yield and erosion rate estimation in the mountain catchments of the Camastra artificial reservoir (Southern Italy): A comparison between different empirical methods. CATENA 127, 323–339 (2015). https://doi.org/10.1016/j.catena.2014.11.021
Panagos, P., Borrelli, P., Meusburger, K., van der Zanden, E.H., Poesen, J., Alewell, C.: Modelling the effect of support practices (P-factor) on the reduction of soil erosion by water at European scale. Environ. Sci. Policy. 51, 23–34 (2015). https://doi.org/10.1016/j.envsci.2015.03.012
Gayen, A., Saha, S., Pourghasemi, H.R.: Soil erosion Assessment using RUSLE model and its Validation by FR probability model. Geocarto Int. 35 (2019). https://doi.org/10.1080/10106049.2019.1581272.
Alexandridis, T.K., Sotiropoulou, A.M., Bilas, G., Karapetsas, N., Silleos, N.G.: the effects of seasonality in estimating the C-factor of soil erosion studies. L. Degrad. Dev. 26, 596–603 (2015). https://doi.org/10.1002/ldr.2223
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Tucci, B. et al. (2021). Assessment and Monitoring of Soil Erosion Risk and Land Degradation in Arable Land Combining Remote Sensing Methodologies and RUSLE Factors. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science(), vol 12954. Springer, Cham. https://doi.org/10.1007/978-3-030-86979-3_50
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