Abstract
Different approaches were used to model soil losses in the Sele River basin (southern Italy) characterized by data scarcity. The suitability of models interpolating different sources of data was evaluated with the aim to suggest similar methodologies in other regions where data availability is not sufficient to use the more complex and detailed models. The first approach is based on the concept of the balance between driving and resisting forces. Rainfall is considered as both a driving and resisting factor: the rain erosivity not only increases with its amount and intensity but also enhances the protective effect of vegetation. The long-term erosion rate of the basin resulted mainly affected by local land-cover conditions that showed a more dramatic effect than the variability of rain erosivity. In the period during which soils were protected by natural woodlands, net erosion rates were extremely low, while the elimination of forest (AD 1780–1810) increased erosion that reached annual rates from 20 to 300 Mg km−2. The second approach is a revised and scale-adapted Foster–Meyer–Onstad model suitable for scarce input data (CliFEM = Climate Forcing and Erosion Modelling). This new idea was addressed to develop a monthly Net Erosion model (NER) and gross erosion was estimated from the sediment delivery ratio (SDR). From this approach it is clear that the erosion regime was clearly autumnal with a mean rate of 8 Mg ha−1 per month. The long-term average soil erosion highlighted, since 1990, a more irregular temporal pattern, with the highest annual erosion (200 Mg ha−1) in 2002. The third approach combines the revised universal soil loss equation (RUSLE) with GIS–geospatial technology. Regression Ordinary Kriging (ROK)-based maps of erosive rainfall were made on annual and monthly basis. The months following soil tillage (from August to November) have become even more hazardous for soil erosion, with values higher than 80% of total yearly soil losses, because in this period the highest rainfall erosivity is coupled to the lowest soil cover due to soil tillage at the end of summer. In these conditions soil can be protected only by the agro-environmental measures aimed at reducing soil erodibility and at increasing soil cover, such as conservative soil tillage (i.e. sod seeding) and perennial cover crops in orchards and vineyards.
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References
Abbaspour KC, Schulin R, van Genuchten MT, Schlappi E (1998) An alternative to cokriging for situations with small sample sizes. Math Geol 30:259–274
Angeli L (2004) Valutazione del rischio erosione applicazioni del modello RUSLE, Centro Ricerche Erosione Suolo, Report 2004, 21 p. http://www.lamma-cres.rete.toscana.it/rapporti/2004/2.pdf. Accessed 23 Sept 2009
Arnold JG, Williams JR (1995) A continuous time water and sediment routing model for large basins. J Hydraul Div–ASCE 121:171–183
Aronica G, Ferro V (1997) Rainfall erosivity over the Calabrian region. J Hydrol Sci 42:35–48
Bakker MM, Govers G, Van Doorn A, Quetier F, Chouvardas D, Rounsevell M (2008) The response of soil erosion and sediment export to land-use change in four areas of Europe: the importance of landscape pattern. Geomorphology 98:213–226
Bhattacharyya T, Babu R, Sarkar D, Mandal C, Dhyani BL, Nagar AP (2007) Soil loss and crop productivity model in humid subtropical India. Curr Sci India 93:1397–1403
Boardman J (1993) The sensitivity of downland arable land to erosion by water. In: Thomas DSG, Allison RJ (eds) Landscape sensitivity. John Wiley & Sons, Chichester, pp 211–228
Boardman JD, Favis-Mortlock T (2001) How will future climate change and land-use change affect rates of erosion on agricultural land. In: Soil erosion research for the 21st Century. Am Soc Agric Biol Eng, Honolulu, Hawaii, pp 498–501, 3–5 Jan 2001
Borselli L (2006) Valutazione dell’erodibilità del suolo in applicazioni a scala di bacino. In: Costantini EAC (ed) Metodi di valutazione dei suoli e delle terre. Cantagalli, Siena, pp 197–222
Brunetti M, Maugeri M, Nanni T (2001) Changes in total precipitation, rainy days and extreme events in northeastern Italy. Int J Climatol 21:861–871
Dalal-Clayton B, Dent D (2001) Knowledge of the land. Land resources information and its use in rural development. Oxford University Press, New York
de Santos Loureiro N, de Azevedo Coutinho M (1995) Rainfall changes and rainfall erosivity increase in the Algarve (Portugal). Catena 24:55–67
Desmet PJJ, Govers G (1996) Comparison of routing algorithms for digital elevation models and their implications for predicting ephemeral gullies. J Geograph Inform Syst 10:311–331
Di Gennaro A (2002) I sistemi di terre della Campania. Carta 1:250.000 e Legenda. Selca, Firenze
Diodato N (2004a) Local models for rainstorm-induced hazard analysis on Mediterranean river-torrential geomorphological systems. Nat Hazard Hydrol Earth Syst Sci 4:389–397
Diodato N (2004b) Estimate RUSLE’s rainfall factor in the part of Italy with a Mediterranean rainfall regime. Hydrol Earth Syst Sci 8:103–107
Diodato N (2005) Geostatistical uncertainty modelling for the environmental hazard assessment during single erosive rainstorm events. Environ Monit Assess 105:25–42
Diodato N (2006) Modelling net erosion responses to enviroclimatic changes recorded upon multisecular timescales. Geomorphology 80:164–177
Diodato N, Ceccarelli M (2005) Erosive rainfall reconstruction since 1580 AD in Calore River Basin (Southern Italy). SCODA Report, University of Sannio. Available on line at: http://www.scoda.unisannio.it/Papers/Archive/Diodato_R_reconstruction%20in%20CRB.pdf
Diodato N, Fagnano M (2011) A simple geospatial model climate–based for designing erosive rainfall pattern. In: Nemr AE (ed) The environmental pollution and its relation to climate change. Nova Science Publishers, New York (in Press)
Diodato N, Ceccarelli M, Bellocchi G (2008) Decadal and century-long changes in the reconstruction of erosive rainfall anomalies at a Mediterranean fluvial basin. Earth Surf Proc Land 33:2078–2093
Diodato N, Fagnano M, Alberico I (2009) CliFERM—Climate forcing and erosion response modelling at long-term Sele River Research Basin (Southern Italy). Nat Hazard Earth Syst Sci 9:1693–1702
Diodato N, Fagnano M, Alberico I, Chirico GB (2011a) Mapping soil erodibility from composed dataset in Sele River Basin, Italy. Nat Hazards 58:445–457
Diodato N, Fagnano M, Alberico I (2011b) Geospatial–and–visual modeling for exploring sediment source areas across the Sele river landscape Italy. Italian J Agronomy 6:85–92
Douglas I (1967) Man, vegetation and sediment yield of rivers. Nature 215:925–928
Fagnano M, Mori M, Carone F, Postiglione L (2000) Sistemi colturali per l’Appennino meridionale: Nota II. Deflussi ed erosione, Rivista di Agronomia 34:55–64 (in Italian)
Foster GR, Meyer LD, Onstad CA (1977) A runoff erosivity factor and variable slope length exponents for soil loss estimates. T ASAE 20:683–687
González-Hidalgo JC, Peña-Monné JL, de Luis M (2007) A review of daily soil erosion in Western Mediterranean areas. Catena 71:193–199
Hutchinson MF (1989) A new procedure for gridding elevation and stream line data with automatic removal of spurious pits. J Hydrol 106:211–232
Illian J, Penttinen A, Stoyan H, Stoyan D (2008) Statistical analysis and modelling of spatial point patterns. John Wiley and Sons Ltd, Chichester
Jones RJA, Montanarella L (2004) Organic matter in the soils of southern Europe. European Soil Bureau Technical Report, Luxembourg
Kosmas C, Danalatos N, Cammeraat LH, Chabart M, Diamanopoulos J, Farand R, Gutierrez L, Jacob A, Marques H, Martinez-Fernandez J, Mizara A, Moustakas N, Nicolau JM, Oliveros C, Pinna G, Puddu R, Puigdefabregas J, Roxo M, Simao A, Stamou G, Tomasi N, Usai D, Vacca A (1997) The effect of land use on runoff and soil erosion rates under Mediterranean conditions. Catena 29:45–59
Lu H, Moran CJ, Prosser IP, Raupach RM, Olley J, Petheram C (2003) Sheet an rill erosion sediment delivery to streams: a basin wide estimation at hillslope to Medium catchment scale, Report E to Project D10012, CSIRO Technical Report 15/03
Märker M, Angeli L, Bottai L, Costantini R, Ferrari R, Innocenti L, Siciliano G (2008) Assessment of land degradation susceptibility by scenario analysis: a case study in Southern Tuscany, Italy. Geomorphology 93:120–126
Matula S, Spongrovà K (2007) Pedotransfer function application for estimation of soil hydrophysical properties using parametric methods. Plant Soil Environ 53:149–157
Mitasova H, Hofierka J, Zlocha M, Iverson LR (1996) Modeling topographic potential for erosion and deposition using GIS. Int J Geograph Inform Sci 10:629–641
Mitasova H, Mitas L, Brown WM, Johnson D (1998) Multidimensional soil erosion/deposition modeling and visualization using GIS. University of Illinois, Urbana-Champaign, Final report for USA CERL
Moore ID, Turner AK, Wilson JP, Jenson SK, Band LE (1993) GIS and land-surface-subsurface process modeling. In: Goodchild MFR, Parks BO, Steyaert LT (eds) Environmental modeling with GIS. Oxford University Press, New York, pp 196–230
Mulligan J, Wainwright M (2004) Modeling and model building. In: Mulligan J, Wainwright M (eds) Environmental modelling: finding simplicity in complexity. Jonh Wiley and Sons, Chichester, pp 7–74
Nearing MA, Pruski FF, O’Neal MR (2004) Expected climate change impacts on soil erosion rates: A review. J. Soil Water Consevation 59:43–50
Regione Campania (1998) Cartografia tecnica regionale. http://www.sito.regione.campania.it/territorio/regionecampania.htm. Accessed 24 Sept 2009
Renard KG, Foster GR, Weesies GA, McCool DK, Yoder DC (1997) Predicting soil erosion by water: a guide to conservation planning with the revised Universal Soil Loss Equation (RUSLE). USDA, Agricultural Handbook 703
Rovito PL (2001) From the ‘amusing woods’ to the ‘sterile and slid’ plains. Notes about the environment disaster in Campania. Rivista Storica del Sannio 16:297–338 (in Italian)
Salski A (2006) Ecological applications of fuzzy logic. In: Recknagel F (ed) Ecological informatics. Springer, Berlin, pp 3–14
Thornes JB (1990) The interaction of erosional and vegetational dynamics in land degradation: spatial outcomes. In: Thornes JB (ed) Vegetation and erosion. Jonh Wiley and Sons, Chichester, pp 45–55
Torri D, Poesen J, Borselli L (1997) Predictability and uncertainty of the soil erodibility factor using a global dataset. Catena 31:1–22
Toy TJ, Foster GR, Renard KG (2002) Soil erosion; prediction, measurement, and control. John Wiley and Sons, New York
Van der Knijff JM, Jones RJA, Montanarella L (2000) Soil erosion risk assessment in Italy, European Soil Bureau, JRC—Report EUR 19022EN
Vandewiele GL, Xu CY, Lar-Win N (1992) Methodology and comparative study of monthly water balance models in Belgium, China and Burma. J Hydrol 134:315–347
Wang G, Gertner G, Singh V, Shinkareva S, Parysow P, Anderson A (2002) Spatial and temporal prediction and uncertainty of soil loss using the revised universal soil loss equation: a case study of the rainfall-runoff erosivity R factor. Ecol Model 153:143–155
Wessolek G, Duijnisveld WHM, Trinks S (2008) Hydro-pedotransfer functions (HPTFs) for predicting annual percolation rate on a regional scale. J Hydrol 356:17–27
Wischmeier WH, Smith DD (1958) Rainfall energy and its relationship to soil loss. Trans Am Geophys Union 39:285–291
Wischmeier WH, Smith DD (1978) Predicting rainfall erosion losses: a guide to conservation planning. USDA, Agriculture Handbook No. 537. Government Printing Office, Washington
Zhang XC, Nearing MA (2005) Impact of climate change on soil erosion, runoff, and wheat productivity in central Oklahoma. Catena 61:185–195
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This study was financially supported by VECTOR Project (line 2 VULCOST—coordinated by Bruno D’Argenio).
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This paper is an outcome of the FISR project VECTOR (Vulnerability of the Italian coastal area and marine ecosystem to climate changes and their role in the Mediterranean carbon cycles), subproject VULCOST (Vulnerability of coastal environments to climate changes) on: land–sea interaction and costal changes in the Sele River plain, Campania.
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Fagnano, M., Diodato, N., Alberico, I. et al. An overview of soil erosion modelling compatible with RUSLE approach. Rend. Fis. Acc. Lincei 23, 69–80 (2012). https://doi.org/10.1007/s12210-011-0159-8
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DOI: https://doi.org/10.1007/s12210-011-0159-8