Crop-management factor calculation using weights of spatio-temporal distribution of rainfall erosivity

https://doi.org/10.17221/100/2017-SWRCitation:Brychta J., Janeček M., Walmsley A. (2018): Crop-management factor calculation using weights of spatio-temporal distribution of rainfall erosivity. Soil & Water Res., 13: 150-160.
download PDF

Inappropriate integration of USLE or RUSLE equations with GIS tools and Remote Sensing (RS) data caused many simplifications and distortions of their original principles. Many methods of C and R factor estimation were developed due to the lack of optimal data for calculations according to original methodology. This paper focuses on crop-management factor evaluation (C) weighted by fully distributed form of rainfall erosivity factor (R) distribution throughout the year. We used high resolution (1-min) data from 31 ombrographic stations (OS) in the Czech Republic (CR) for monthly R map creation. All steps of the relatively time-consuming C calculation were automated in GIS environment with an innovative procedure of R factor weight determination for each agro-technical phase by land parcel geographic location. Very high spatial and temporal variability of rainfall erosivity within each month and throughout the year can be observed from our results. This highlights the importance of C factor calculation using a correctly presented method with emphasis on the geographic location of given land parcels.

References:
Angulo-Martínez M., López-Vicente M., Vicente-Serrano S. M., Beguería S. (2009): Mapping rainfall erosivity at a regional scale: a comparison of interpolation methods in the Ebro Basin (NE Spain). Hydrology and Earth System Sciences, 13, 1907-1920  https://doi.org/10.5194/hess-13-1907-2009
 
de Asis Alejandro M., Omasa Kenji (2007): Estimation of vegetation parameter for modeling soil erosion using linear Spectral Mixture Analysis of Landsat ETM data. ISPRS Journal of Photogrammetry and Remote Sensing, 62, 309-324  https://doi.org/10.1016/j.isprsjprs.2007.05.013
 
Ballabio Cristiano, Borrelli Pasquale, Spinoni Jonathan, Meusburger Katrin, Michaelides Silas, Beguería Santiago, Klik Andreas, Petan Sašo, Janeček Miloslav, Olsen Preben, Aalto Juha, Lakatos Mónika, Rymszewicz Anna, Dumitrescu Alexandru, Tadić Melita Perčec, Diodato Nazzareno, Kostalova Julia, Rousseva Svetla, Banasik Kazimierz, Alewell Christine, Panagos Panos (2017): Mapping monthly rainfall erosivity in Europe. Science of The Total Environment, 579, 1298-1315  https://doi.org/10.1016/j.scitotenv.2016.11.123
 
Bonilla Carlos A., Vidal Karim L. (2011): Rainfall erosivity in Central Chile. Journal of Hydrology, 410, 126-133  https://doi.org/10.1016/j.jhydrol.2011.09.022
 
Brychta J., Janeček M. (2017): Evaluation of discrepancies in spatial distribution of rainfall erosivity in the Czech Republic caused by different approaches using GIS and geostatistical tools. Soil and Water Research, 12, 117-127  https://doi.org/10.17221/176/2015-SWR
 
Cebecauer T., Suri M., Hofierka J., Fulajtar E. (2004): Corine Land Cover in the context of soil erosion assessment at a regional scale. In: Workshop CORINE Land Cover 2000 in Germany and Europe and its Use for Environmental Applications, 20–21: 131–137.
 
De Jong Steven M. (1994): Derivation of vegetative variables from a landsat tm image for modelling soil erosion. Earth Surface Processes and Landforms, 19, 165-178  https://doi.org/10.1002/esp.3290190207
 
Dissmeyer G.E., Foster G.R. (1981): Estimating the cover-management factor (C) in the Universal Soil Loss Equation for forest condition. Journal of Soil and Water Conservation, 36: 235–240.
 
García-Orenes F., Cerdà A., Mataix-Solera J., Guerrero C., Bodí M.B., Arcenegui V., Zornoza R., Sempere J.G. (2009): Effects of agricultural management on surface soil properties and soil–water losses in eastern Spain. Soil and Tillage Research, 106, 117-123  https://doi.org/10.1016/j.still.2009.06.002
 
Gilabert M (): A Mixture Modeling Approach to Estimate Vegetation Parameters for Heterogeneous Canopies in Remote Sensing. Remote Sensing of Environment, 72, 328-345  https://doi.org/10.1016/S0034-4257(99)00109-1
 
Hanel Martin, Máca Petr, Bašta Petr, Vlnas Radek, Pech Pavel (2016): The rainfall erosivity factor in the Czech Republic and its uncertainty. Hydrology and Earth System Sciences, 20, 4307-4322  https://doi.org/10.5194/hess-20-4307-2016
 
Hermando D., Romana G.M. (2015): Estimating the rainfall erosivity factor from monthly precipitation data in the Madrid region (Spain). Journal of Hydrology and Hydromechanics, 63: 55–62.
 
Jakubíková A., Janeček M., Tippl M. (2006): Field determination of the specific input characteristics to calculate the value of C factor of time-variable crops for the Revised Universal Soil Loss Equation (RUSLE). Soil and Water Research, 1: 10–15.
 
Janeček M., Tippl M., Bohuslávek J. (1995): Using a rainfall simulator for monitoring soil protection effectiveness of planting variants of corn. Plant Production, 41: 485–490. (in Czech)
 
Janeček M., Kubátová E., Tippl M. (2006): Revised determination of the rainfall-runoff erosivity factor R for application of USLE in the Czech Republic. Soil and Water Research, 1: 65–71.
 
Janeček M., Květoň V., Kubatová E., Kobzová D. (2012a): Differention and regionalization of rainfall erosivity factor values in the Czech Republic. Soil and Water Research, 7: 1–9.
 
Janeček M. et al. (2012b): Protection of Agricultural Land from Erosion. Prague, VUMOP. (in Czech)
 
Janeček M., Květoň V., Kubátová E., Kobzová D., Voš-merová M., Chlupsová J. (2013a): Values of rainfall erosivity factor for the Czech republic. Journal of Hydrology and Hydromechanic, 61: 97–102.
 
Janeček M., Kubátová E., Procházková E. (2013b): Use of simulators in the rain erosion research. Vodní hospodářství, 63: 168–172. (in Czech)
 
Lee Joon-Hak, Heo Jun-Haeng (2011): Evaluation of estimation methods for rainfall erosivity based on annual precipitation in Korea. Journal of Hydrology, 409, 30-48  https://doi.org/10.1016/j.jhydrol.2011.07.031
 
Meusburger K., Steel A., Panagos P., Montanarella L., Alewell C. (2012): Spatial and temporal variability of rainfall erosivity factor for Switzerland. Hydrology and Earth System Sciences, 16, 167-177  https://doi.org/10.5194/hess-16-167-2012
 
Mikhailova E. A., Bryant R. B., Schwager S. J., Smith S. D. (1997): Predicting Rainfall Erosivity in Honduras. Soil Science Society of America Journal, 61, 273-  https://doi.org/10.2136/sssaj1997.03615995006100010039x
 
Panagos P., Borrellia P., Meusburger K., Alewellb Ch., Lugatoa E., Montanarellaa L. (2015a): Estimating the soil erosion cover-management factor at the European scale. Science of the Total Environment, 48: 38–50.
 
Panagos P., Ballabio C., Borrelli P., Meusburger K., Klik A., Rousseva S., Tadić M.P., Michaelides S., Hrabalíková M., Olsen P., Aalto J., Rymszewicz A., Dumitrescu A., Beguería S., Alewell C. (2015b): Rainfall erosivity in Europe. Science of the Total Environment, 511: 801–814.
 
Parsons Anthony J., Abrahams Athol D., Wainwright John (1994): On determining resistance to interrill overland flow. Water Resources Research, 30, 3515-3521  https://doi.org/10.1029/94WR02176
 
Renard Kenneth G., Freimund Jeremy R. (1994): Using monthly precipitation data to estimate the R-factor in the revised USLE. Journal of Hydrology, 157, 287-306  https://doi.org/10.1016/0022-1694(94)90110-4
 
Renard K.G., Foster G.R., Weesies G.A., Mccool D.K., Yoder D.C. (1997). Predicting Soil Erosion by Water: A Guide to Conservation Planning with the Revised Universal Soil Loss Equation (RUSLE). USDA Agriculture Handbook No. 703, Washington D.C., USDA-ARS.
 
C. W. Richardson , G. R. Foster , D. A. Wright (1983): Estimation of Erosion Index from Daily Rainfall Amount. Transactions of the ASAE, 26, 0153-0156  https://doi.org/10.13031/2013.33893
 
Schwertmann U., Vogel W., Kainz M. (1987): Bodenerosion durch Wasser. Stuttgart, E. Ulmer Gmbh.
 
Symeonakis E., Drake N. (2004): Monitoring desertification and land degradation over sub-Saharan Africa. International Journal of Remote Sensing, 25, 573-592  https://doi.org/10.1080/0143116031000095998
 
Toman F., Kadlec M. (2003): Regionalization methods of agricultural land use expressed by C factor. Soil and Water, 2: 139–150. (in Czech)
 
Trojacek P., Kadlubiec R. (2004): Detailed mapping of agricultural plots using satellite images and aerial orthphoto maps. In: Goossens R. (ed.): Remote Sensing in Transition. Rotterdam, Millpress: 253–257.
 
Tweddales S.C., Eschlaeger C.R. Seybold W.F. (2000): An Improved Method for Spatial Extrapolation of Vegetative Cover Estimates (USLE/RUSLE C factor) using LCTA and Remotely Sensed Imagery. USAEC Report No. SFIM-AEC-EQ-TR-200011, ERD/CELR TR-00-7. Champaign, US Army of Engineer Reserach and Development Center, CERL.
 
Van Der Knijff J.M, Jones R.J.A., Montanarella L. (2000): Soil Erosion Risk Assessment in Europe. EUR 19044 EN, Joint Research Centre, European Soil Bureau.
 
J. D. Williams , D. E. Wilkins , D. K. McCool , L. L. Baarstad , B. L. Klepper , R. I. Papendick (1998): A NEW RAINFALL SIMULATOR FOR USE IN LOW-ENERGY RAINFALL AREAS. Applied Engineering in Agriculture, 14, 243-247  https://doi.org/10.13031/2013.19385
 
Wischmeier W.H., Smith D.D. (1978): Predicting Rainfall Erosion Losses – A Guide to Conesvation Planning. USDA Agricultural Handbook No. 537.
 
Zhao Wenwu, Fu Bojie, Qiu Yang (2013): An Upscaling Method for Cover-Management Factor and Its Application in the Loess Plateau of China. International Journal of Environmental Research and Public Health, 10, 4752-4766  https://doi.org/10.3390/ijerph10104752
 
download PDF

© 2020 Czech Academy of Agricultural Sciences