Evaluation of soil resilience to anthropopressure in Łosie village (Lower Beskids Mts) – preliminary results

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This paper presents the preliminary results of research on soil resilience to anthropopressure in Łosie village (Lower Beskids Mts). The considered risks included three features which reflect soil resilience: predicted soil loss caused by water erosion, mechanical and physico-chemical filtration capacities. The average annual rate of soil loss was calculated based on the Revised Universal Soil Loss Equation (RUSLE). Analyses of mechanical and physico-chemical filtration capacities of soils were conducted on the basis of algorithms which took into account the soil texture class and groundwater table class. The results confirmed that the highest predicted soil loss takes place within arable lands, particularly those located on slopes - with up and down tillage. During the period from 1997 to 2009, predicted soil loss decreased by 57% due to the decline in the percentage of arable land in the research area. It was found that the introduction of cross-slope tillage within arable lands could decrease overall predicted soil loss up to 67%. Areas with the lowest mechanical filtration capacities were located on slopes and related to sandy clay soils whereas the areas with the lowest physico-chemical filtration capacities were situated in valley bottoms and are mainly due to the shallow level of the groundwater table. Finally, it was noted that the different types of analyzed risk do not overlap nor even do they correspond with each other, which is conditioned by different features of the environment that were taken into consideration. The obtained results have shown how important sustainable spatial planning evaluation of various types of environmental resilience is.

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  • Altmann R. Schreiber K.F. & Thole R. (1992). Filtering buffering and transformation functions (in German). In R. Marks M.J. Muller H. Leser & H.J. Klink (Eds.) Instructions for assessment capacities of landscape sustainability (pp. 65-74). Trier: Zentralausschus fur deutsche Landeskunde Selbstverlag.

  • Arghinus C. & Arghinus V. (2011). The quantitative estimation of the soil erosion using USLE type ROMSEM model. Case-study - the Codrului Ridge and Piedmont (Romania). Carpathian Journal of Earth and EnvironmentalSciences 6(2) 59-66.

  • Bosco C. Rusco E. Montanarella L. & Panagos P. (2009). Soil erosion in the Alpine area: risk assessment and climate change. Studi Trentini di Scienze Naturali 85 117-123.

  • Demczuk P. (2009). Conform model USLE to automatic mapping intensity of soil erosion in the Bystrzanka Mountain Catchment (Flysh Carpathian) (in Polish). In W. Bochenek & M. Kijowska (Eds.) The integrated monitoringof the environment (pp. 239-244). Szymbark: IGiPZ PAN.

  • Drzewiecki W. (2006). GIS and remote sensing data application to the assessment of land-use conditions (in Polish). Geoinformatica Polonica 8 7-22.

  • Folke C. Carpenter S. Elmqvist T. Gunderson L. Holling C.S. & Walker B. (2002). Resilience and sustainable development: building adaptive capacity in a world of transformations. Ambio 31(5) 437-440. DOI:10.1579/0044-7447-31.5.437.

  • Grabaum R. & Meyer B.Ch. (1998). Multicriteria optimization of landscapes using GIS-based functional assessments. Landsc. Urban Plann. 43 21-34. DOI:10.1016/S0169-2046(98)00099-1.

  • Grabaum R. Meyer B.Ch. Friedrich K. Wolf T. Meyer T. & Gehrung J. (2005). Interactive user guide for theMULBO (in German). Leipzig: OLANIS Expertensysteme GmbH.

  • Holling C.S. (1973). Resilience and stability of ecological systems. Annu. Rev. Ecol. Syst. 4 1-23. DOI:10.1146/ annurev.es.04.110173.000245.

  • Igwe C.A. Akamigbo F.O.R. & Mbagwu J.S.C. (1999). Application of a SLEMSA and USLE erosion models for potential erosion hazard mapping in south-eastern Nigeria. International Agrophysics 13 41-48.

  • Koreleski K. (2008). The influence of field factors on the intensity of water erosion exemplified by a mountain village (in Polish). Infrastructure and Ecology of Rural Areas 3 5-12.

  • Lastoria B. Miserocchi F. Lanciani A. & Monacelli G. (2008). An estimated erosion map for the Aterno-Pescara river basin. European Water 21/22 29-39.

  • Obrębska-Starklowa B. (1983). Agroecological aspects of a mesoclimatic differentiation in the Lower Beskid (in Polish). Problemy Zagospodarowania Ziem Górskich 23 69-83.

  • Renard K. Foster G. Weesies G. McCool D. & Yoder D. (1997). Predicting soil erosion by water: a guide to conservationplanning with the Revised Universal Soil Loss Equation (RUSLE). US: Agricultural Research Service.

  • Stone R. Hilborn D. (2000). Fact Sheet: Universal Soil Loss Equation (USLE). Retrieved November 13 2012 from http://www.omafra.gov.on.ca/english/engineer/facts/00-001.htm

  • Tracz P. (2004). Methods of assessment of environmental resilience to degradation using GIS techniques (in Polish). In M. Strzyż (Ed.) Perspective on the Regional Development in the Light of Landscape Research. The Problems ofLandscape Ecology (pp. 277-285). Warsaw: PAEK.

  • Wischmeier W.H. & Smith D.D. (1978). Predicting rainfall erosion losses - a guide to conservation planning. Washington DC: U.S. Department of Agriculture.

  • Yue-qing X. Jian P. & Xiao-mei S. (2009). Assessment of soil erosion using RUSLE and GIS: a case study of Maotiao River watreshed Guizhou Province China. Environ. Geol. 56 1643-1652. DOI:10.1007/s00254-008-1261-9.

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