@conference{
author = "Perović, Veljko and Čakmak, Dragan and Marković, Milica and Jaramaz, Darko and Kostić, Olga and Mitrović, Miroslava and Pavlović, Pavle",
year = "2017",
abstract = "INTRODUCTION and OBJECTIVES:
Soil erosion is the most common form of land degradation, and as such represents a serious constraint to the sustainable development of economy and society. Nowadays, wide spectrums of models for erosion risk evaluation are available. 'Ihe most commonly used erosion models in the world are: USLE (Universal Soil Loss Equation), RUSLE (Revised Universal Soil Loss Equation), WaTEM/SEDEM (K.U.Lcuven, Belgium), ANSWERS (Areal Nonpoint Source Watershed Environment Response Simulator) and SWAT (Soil and Water Assessment Tool).The Natural Capital Project has developed a program that is engaged in spatial ecosystem management through the tool that is called Integrated Valuation of Ecosystem Services and Tradeoffs (In VEST). In VEST's sediment erosion model is an integral part of the mentioned project and it is available in the fom1 of open source software. Dominant data represented in this model are climate, soil, topography, land use and others.The paper aims to identify areas threatened by erosion processes and quantify the current erosion intensity of agricultural land in the Blacc municipality by employing lnYES'l's sediment erosion model.
MATERIAL and METHOD:
InVESTs sediment erosion model estimate erosion processes, using method that is based on the Universal Soil Loss Equation (USLE) (Wischmeier and Smith, 1978). Model is a spatially oriented, and by employing raster structure the parts of the ecosystem can be divided into small spatial units (raster cells). The main unit in which the model estimated erosion processes is t ha-1yf1 • Data that arc necessary for running the model arc: Digital elevation model (DEM), Rainfall erosivity index, Soil crodibility, Land use/land cover (LULC), Watersheds (shapefile), Biophysical table (lucode, usle_c, usle_p), Threshold tlow accumulation, Borselli k Parameter, Borselli ICO Parameter and Max SDR Value. After main calculation, the model creates several raster, vector and text files, among which the most important are: rkls (tons/pixel), sed_export.tif (tons/pixel), usle (tons/pixel), sed _retention (tons/pixel), sed_retention_index (tons/pixel), watcrshed_results_sdr (.shp) and sed _ export (tons/watershed).
RESULTS and CONCLUSIONS:
Annual losses of agricultural land in municipality of Blace using In VEST sediment erosion model is in the range from O to 182.22 t ha-'yr-', with an average erosion intensity of 7.39 t ha-'yr-1, which this area according to OECD (Organisation for Economic Co-operation and Development) classified in a group with poorly risk of erosion processes. SDR (sediment delivery ratio) reflects landscape connectivity (connection between the source of runoff, sediment, and sinks), and inside the model was represented at the pixel level. Pixels are hydrologically connected to the characteristics of the upslope area (C factor and slope). SDR normally has a value in range between O and I. The value of the SDR in the municipality of Blace is in the range from O to 0.21, with an average level of 0.06 tonnes per pixel. The current state of erosion processes on agricultural lands at municipality of Blace does not indicate concerns and the need for the conservation measures implementation. However, in agricultural areas that have intense erosion processes, stiould be perfonned crop rotation and reorientation from annual to multi-annual crops.",
publisher = "Novi Sad: Faculty of Agricultur, Belgrade : Soil Science Society of Serbia",
journal = "Book of Abstracts: 2nd International and 14th National Congress of Soil Science Society of Serbia: Solutions and Projections for Sustainable Soil Management; 2017 Sep 25-28; Novi Sad, Serbia",
title = "Implementation of a new erosion model (Invest’s sediment erosion model) at Blace municipality (Serbia) – case study",
pages = "116",
url = "https://hdl.handle.net/21.15107/rcub_ibiss_5419"
}