Abstract
Some recent land use changes in Albania, such as deforestation, cropland abandonment, and urban sprawl, have caused serious increase of erosion risk. The main objective of this study was to map erosion risk in Korçe region and assess the degree at which every land use is concerned. The G2 erosion model was applied, which can provide erosion maps and statistical figures at month-time intervals using input from free European and global geodatabases. The mapping results in Korçe region were derived at a 30-m cell size, which is an innovation for G2. Autumn-winter months were found to be the most erosive, with average erosion rates reaching the maximum in November and December, i.e. 2.62 and 2.36 t/ha, respectively, while the annual rate was estimated at 10.25 t/ha/yr. Natural grasslands, shurblands, mixed forests, and vineyards showed to exhibit the highest mean erosion rates, while shrublands, broad-leaved forests and natural grasslands were found to be the most extended land covers risky for non-sustainable erosion rates (i.e. >10 t/ha/yr). A detailed examination of the detected hot spots is now necessary by the competent authorities, in order to apply appropriate, site-specific conservation measures. Notably, use of SPOT VGT data did not prevent the maps from having extended gaps due to cloudiness. Sentinel-2 time series, freely available by the European Space Agency (ESA), have the potential to improve spatiotemporal coverage of V-factor, thus further empowering the G2 model, in the near future.
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References
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(3–4):213–226
Barrios M, Francés F (2012) Spatial scale effect on the upper soil effective parameters of a distributed hydrological model. Hydrol Process:1022–1033. doi:10.1002/hyp.8193
De Aranzabal I, Fe Schmitz M, Aguilera P, Pineda FD (2008) Modelling of landscape changes derived from the dynamics of socio-ecological systems: a case of study in a semiarid Mediterranean landscape. Ecol Indic 8(5):672–685
Desmet P, Grovers G (1996) A GIS procedure for automatically calculating the USLE LS factor on topographically complex landscape units. J Soil Water Conserv 51(5):427–433
Garcia-Ruiz JM (2010) The effects of land uses on soil erosion in Spain: a review. Catena 81(1):1–11
Gavrilovic Z (1988) The use of an empirical method (erosion potential method) for calculating sediment production and transportation in unstudied or torrential streams. In: In: International conference of river regime, 18–20 May 1988. John Wiley and Sons, Wallingford. Chichester, pp. 411–422
Giordano A et al. (1991) The methodological approach to soil erosion and important land resources evaluation of the European Community. Soil Technol 4:65–77
Comber L, Fischer P, Wadsworth R (2005) What is land cover? Environment and Planning B: Planning and Design 32:199–209
Grazhdani S, Shumka S (2007) An approach to mapping soil erosion by water with application to Albania. Desalination 213(1–3):263–272
Grimm RJA, Jones E, Rusco, Montanarella. L (2002) Soil erosion risk in Italy: a revised USLE approach. European Commission, EUR 20677 EN, (2002), 28 pp. Office for Official Publications of the European Communities, Luxembourg
Hadjimitsis DG, Chrysoulakis N, Retalis A (2009) Analysis of ASTER multispectral stereo imagery to update DEM and land cover databases for Cyprus Island. 29th EARSeL Symposium “Imagin[e, g] Europe”, MAICH, 15-18 June 2009, Chania, Crete
Hakanson L (1980) An ecological risk index aquatic pollution control, a sedimentological approach. Water Res 14:975–1001
Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A (2005) Very high resolution interpolated climate surfaces for global land areas. Int J Climatol 25:1965–1978
Karydas CG, Panagos P (2015) Modelling monthly soil losses and sediment yields in Cyprus. Int J Digital Earth 9(8):766–787
Karydas CG, Panagos P, Gitas IZ (2012) A classification of water erosion models according to their geospatial characteristics,. International Journal of Digital Earth 7(3):229–250
Karydas CG, Zdruli P, Koci S, Sallaku F (2015a) Monthly time-step erosion risk monitoring of Ishmi-Erzeni watershed. Albania using the G2 model, Environmental Modeling & Assessment 20(6):657–671
Karydas CG, Tzoraki O, Panagos P (2015b) A New Spatiotemporal Risk Index for Heavy Metals: Application in Cyprus. Water 7:4323–4342
Kirkby MJ, Jones RJA, Irvine B, Gobin A, Govers G, Cerdan O, Van Rompaey AJJ, Le Bissonnais Y, Daroussin J, King D, Montanarella L, Grimm M, Vieillefont V, Puigdefabregas J, Boer M, Kosmas C, Yassoglou N, Tsara M, Mantel S, Van Lynden GJ, Huting J (2004) Pan-European Soil Erosion Risk Assessment: The PESERA Map, Version 1 October 2003. Explanation of Special Publication Ispra 2004 No.73 (S.P.I.04.73). European Soil Bureau Research Report No.16, EUR 21176, 18 pp. and 1 map in ISO B1 format. Office for Official Publications of the European Communities, Luxembourg
Kumaraku A, Osmanaj L (2011) Regionalization Of Intensity–Duration–Frequency (IDF) curves in Albania. International Balkans Conference on Challenges of Civil Engineering, BCCCE, 19–21 May 2011. EPOKA University, Tirana, ALBANIA
Laze P, Kovaci V (1996) Soil erosion and physico-chemical nature of eroded materials. 9th Conference of the International Soil Conservation Organization (ISCO),. Extended Abstracts, Bonn, Germany.
MacDonald D, Crabtree JR, Wiesinger G, Dax T, Stamou N, Fleury P, Gutierrez Lazpita J, Gibon A (2000) Agricultural abandonment in mountain areas of Europe: Environmental consequences and policy response. J Environ Manag 59(1):47–69
Martinez-Casasnovas JA, Sanchez-Bosch I (2000) Impact assessment of changes in land use/conservation practices on soil erosion in the Penedès–Anoia vineyard region (NE Spain). Soil Tillage Res 57(1–2):101–106
Moore ID, Burch GJ (1986) Physical basis of the lengthslope factor in the universal soil loss equation. Soil Sci Soc Am J 50:1294–1298
Palutikof JP, Trigo RM, Adcock ST (1996) Scenarios of rainfall over the Mediterranean: is the region drying. Presentation to: International Conference on Mediterranean Desertification, 29 October-1 November 1996, Crete Greece. Available from: Climate Research Unit, UEA, Norwich, UK
Panagos P (2006) The European soil database. GEO: connexion 5(7):32–33
Panagos P, Karydas CG, Gitas IZ, Montanarella L (2012a) Monthly soil erosion monitoring based on remotely sensed biophysical parameters: A case study in Strymonas river basin towards a functional pan-European service. Int J Dig Earth 5(6):461–487
Panagos P, Van Liedekerke M, Jones A, Montanarella L (2012b) European soil data Centre: response to European policy support and public data requirements. Land Use Policy 29(2):329–338
Panagos P, Karydas C, Ballabio C, Gitas I (2014a) Seasonal monitoring of soil erosion at regional scale: an application of the G2 model in Crete focusing on agricultural land uses. Int J Appl Earth Obs Geoinf 27(B):147–155
Panagos P, Karydas C, Borrelli P, Ballabio C, Meusburger K (2014b) Advances in soil erosion modelling through remote sensing data availability at European scale, Second International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2014), International Society for Optics and Photonics, pp. 92290I-92290I-10.
Panagos P, Borrelli P, Poesen J, Ballabio C, Lugato E, Meusburger K, Montanarella L, Alewell C (2015) The new assessment of soil loss by water erosion in Europe. Envir Sci & Policy 54:438–447
Richards JA and Jia X (1999) Remote sensing digital image analysis. Heidelberg, Springer
Rojas R, Velleux M, Julien P, Johnson B. (2008) Grid scale effects on watershed soil erosion models. J Hydrol Eng, 10.1061/(ASCE)1084–0699(2008)13:9(793),793–802
Romero-Calcerrada R, Perry GLW (2004) The role of land abandonment in landscape dynamics in the SPA ‘Encinares del rı́o Alberche y Cofio, Central Spain, 1984–1999, Landsc Urban Plan, 66(4):217–232
Sallaku F, Huqi B, Tota O, Mema M, Fortuzi S, Jojic E (2009) Dynamics of land-use and land-cover change in Albania: environmental consequences and policy response, Res J Agric Science, Vol. 41 (2)
Shelef O, Stavi I, Zdruli P, Rachmilevitch S (2014) Land-use change, a case study from southern Italy: General implications for agricultural-subsidy policies. Land Degr & Develop Wiley. DOI: 10.1002/ldr.2343
Tantasirin C, Nagai M, Tipdecho T, and Tripathi N (2016) Reducing hillslope size in digital elevation models at various scales and the effects on slope gradient estimation. Geocarto Int, doi:10.1080/10106049.2015.1004133, 140–157.
Van der Knijff JM, Jones RJA, Montanarella L (2000) Soil erosion risk assessment in Italy. European Soil Bureau. European Commission, JRC Scientific and Technical Report, EUR 19044 EN, 52 pp
Wischmeier WH and Smith DD (1978) Predicting rainfall erosion losses: a guide for conservation planning (agriculture handbook 537), US Department of Agriculture.
Zdruli P (1997) Benchmark Soils of Albania: Resource Assessment for Sustainable Land Use USDA NRCS IFDC Agricultural University of Tirana. PhD thesis
Zdruli P, Lushaj S (2012) Problems of soil degradation and alternative control measures for soil protection in Albania. Book of Abstracts. EUROSOIL2012, Bari, Italy
Zdruli P (2014) Land resources of the Mediterranean: status, pressures, trends and impacts on regional future development. Land Degrad Dev 25: 373–384, Wiley. DOI: 10.1002/ldr.2150
Zdruli P, Calabrese J, Ladisa G, Oitekhile A (2014) Impacts of land cover change on soil quality of manmade soils cultivated with table grapes in the Apulia Region of south-eastern Italy, CATENA Elsevier. doi:10.1016/j.catena.2014.04.015
Online Resource
Copernicus Land Monitoring, web portal: http://land.copernicus.eu/pan-european/corine-land-cover/clc-2012/view (last accessed on 6-April-2016)
CORINE LC web portal: http://sia.eionet.europa.eu/CLC2006/CLC_Legeng.pdf (last accessed on 6-April-2016)
European Soil Data Centre (ESDAC) of the Joint Research Centre: http://esdac.jrc.ec.europa.eu (last accessed on 6-April-2016)
United States Geological Survey, Landsat imagery portal: http://glovis.usgs.gov/ (last accessed on 6-April-2016)
WorldClim project, data portal: http://www.worldclim.org/ (last accessed on 6-April-2016)
World climate data, project, www.klimatinfo.nl (last accessed on 30-September-2015)
Acknowledgments
ASTER GDEM is a product of METI and NASA, downloaded from the web portal http://www.jspacesystems.or.jp/ersdac/GDEM/E/index.html. Fcover grids (original BioPar products) were downloaded from VITO client portal (ftp: catftp.vgt.vito.be). Landsat 8 image was downloaded from USGS portal (http://glovis.usgs.gov/). The authors would like also to thank the Joint Research Centre, Institute of Environment and Sustainability, Land Resource Management Unit for hosting the component of the G2 model facilities and databases (http://esdac.jrc.ec.europa.eu/themes/g2-model).
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Zdruli, P., Karydas, C.G., Dedaj, K. et al. High resolution spatiotemporal analysis of erosion risk per land cover category in Korçe region, Albania. Earth Sci Inform 9, 481–495 (2016). https://doi.org/10.1007/s12145-016-0269-z
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DOI: https://doi.org/10.1007/s12145-016-0269-z