Top

Environmental Earth Sciences

Published in:

01-12-2014 | Original Article

Geospatial comparison of four models to predict soil erodibility in a semi-arid region of Central India

Authors: Partha Pratim Adhikary, S. P. Tiwari, Debashis Mandal, Brij Lal Lakaria, M. Madhu

Published in: Environmental Earth Sciences | Issue 12/2014

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

The soil erodibility factor of RUSLE is one of the important indicators of land degradation. It can be measured either directly under natural or simulated rainfall condition or indirectly estimated by empirical models. A geospatial variation of this factor is essential for prioritization of reclamation measures. However, geospatial upscaling of soil erodibility factor is very uncertain because of its dynamic nature and dependent on the parameters used in the model. This paper studies the geospatial comparison of the effectiveness of four different models to predict the soil erodibility factor by means of the independent role of each model parameter. 669 soil samples were collected from different land uses of Central India on grid basis and analyzed for physicochemical properties. The soil erodibility factor was estimated using four different models. Geostatistical analysis was performed on the point erodibility data of each model to obtain the spatial pattern. Analysis of variance showed that soil properties and erodibility factor varied significantly with various land uses. Croplands showed higher susceptibility to erosion than woodlands and grasslands. The erodibility equation that used particle size with soil organic matter showed better agreement with the variation of land use than the equation used only particle size. Therefore, the models that dynamically integrate soil intrinsic properties with land use can successfully be used for geospatial upscaling of soil erodibility factor.

previous article Assessing the potential for deterioration of limestones forming Taq-e Bostan monuments under freeze–thaw weathering and karst development

next article An assessment of natural radioactivity levels and radiation hazards in the soil of Coonoor, South India

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Basaran M, Erpul G, Ozcan AU (2008) Variation of macro-aggregate stability and organic matter fractions in the basin of Saraykoy II Irrigation Dam, Cankiri, Turkey. Fresen Environ Bull 17:224–239

Baskan O, Cebel H, Akgul S, Erpul G (2010) Conditional simulation of USLE/RUSLE soil erodibility factor by geostatistics in a Mediterranean Catchment, Turkey. Environ Earth Sci 60:1179–1187CrossRef

Bathrellos GD, Papanastassiou KG, Skilodimou HD, Papanastassiou D, Chousianitis KG (2012) Potential suitability for urban planning and industry development by using natural hazard maps and geological–geomorphological parameters. Environ Earth Sci 66:537–548CrossRef

Bathrellos GD, Papanastassiou KG, Skilodimou HD, Skianis GA, Chousianitis KG (2013) Assessment of rural community and agricultural development using geomorphological-geological factors and GIS in the Trikala prefecture (Central Greece). Stoch Env Res Risk A 27:573–588CrossRef

Bayramin I, Basaran M, Erpul G, Canga MR (2008) Assessing the effects of land use changes on soil sensitivity to erosion in a highland ecosystem of semi-arid Turkey. Environ Monit Assess 140:249–265CrossRef

Botterweg P, Leek R, Romstad E, Vatn A (1998) The EUROSEM-GRIDSEM modelling system for erosion analyses under different natural and economic conditions. Ecol Model 108:115–129CrossRef

Burgess TM, Webster R (1980) Optimal interpolation and isarithm mapping of soil properties: I. The semivariogram and punctual kriging. J Soil Sci 31:315–331CrossRef

Buttafuoco G, Conforti M, Aucelli PPC, Robustelli G, Scarciglia F (2012) Assessing spatial uncertainty in mapping soil erodibility factor using geostatistical stochastic simulation. Environ Earth Sci 66:1111–1125CrossRef

Cambardella CA, Moorman TB, Novak JM, Parkin TB, Karlen DL, Turco RF, Konopka AE (1994) Field scale variability of soil properties in Central Iowa soils. Soil Sci Soc Am J 58:1501–1511CrossRef

Castrignano A, Buttafuoco G, Canu A, Zucca C, Madrau S (2008) Modeling spatial uncertainty of soil erodibility factor using joint stochastic simulation. Land Degrad Dev 19:198–213CrossRef

Cerri CEP, Bernoux M, Chaplot V, Volkoff B, Victoria RL, Melillo JM, Paustian K, Cerri CC (2004) Assessment of soil property spatial variation in an Amazon pasture: basis for selecting agronomic experimental area. Geoderma 123:51–68CrossRef

Chai X, Shen C, Yuan X, Huang Y (2008) Spatial prediction of soil organic matter in the presence of different external trends with REML-EBLUP. Geoderma 148:159–166CrossRef

Chen X, Zhou J (2013) Volume-based soil particle fractal relation with soil erodibility in a small watershed of purple soil. Environ Earth Sci 70:1735–1746CrossRef

Chen X, Zhang Z, Chen X, Shi P (2009) The impact of land use and land cover changes on soil moisture and hydraulic conductivity along the karst hillslopes of southwest China. Environ Earth Sci 59:811–820CrossRef

Douaik A, Meirvenne MV, Tibor TT (2005) Soil salinity mapping using spatio-temporal kriging and Bayesian maximum entropy with interval soft data. Geoderma 128:234–248CrossRef

Herbst M, Diekkru¨ger B, Vereecken H (2006) Geostatistical co-regionalization of soil hydraulic properties in a micro-scale catchment using terrain attributes. Geoderma 132:206–221CrossRef

Journel AG, Huijbregts CS (1978) Mining geostatistics. Academic, New York, p 600

Klein J, Jarva J, Kamenetsky DF, Bogatyrev I (2013) Integrated geological risk mapping: a qualitative methodology applied in St. Petersburg, Russia. Environ Earth Sci 70:1629–1645CrossRef

Klute A, Dirksen C (1986) Hydraulic conductivity and diffusivity: laboratory methods. In: Klute A (ed) Methods of soil analysis, part 1: Physical and mineralogical methods, 2nd edn. American Society of Agronomy, Madison, pp 687–734

Lee S (2004) Soil erosion assessment and its verification using the Universal Soil Loss equation and Geographic information system: a case study at Boun, Korea. Environ Geol 45:457–465CrossRef

Lu D, Li G, Valladares GS, Batistella M (2004) Mapping soil erosion risk in Rondonia, Brazilian Amazonia: using RUSLE, remote sensing and GIS. Land Degrad Dev 15:499–512CrossRef

Morgan RPC (1995) Soil erosion and conservation. Longman, White Plains

Mulengera MK, Payton RW (1999) Estimating the USLE-soil erodibility factor in developing tropical countries. Trop Agr 76:17–22

Nearing MA (2005) Soil erosion and conservation. In: Wainwright J, Mulligan M (eds) Environmental modelling: finding simplicity in complexity. Wiley, London, p 430

Parysow P, Wang G, Gerther G, Anderson A (2003) Spatial uncertainty analysis for mapping soil erodibility based on joint sequential simulation. Catena 53:65–78CrossRef

Perovic V, Zivotic L, Kadovic R, Dordevic A, Jaramaz D, Mrvic V, Todorovic M (2013) Spatial modelling of soil erosion potential in a mountainous watershed of south-eastern Serbia. Environ Earth Sci 68:115–128CrossRef

Piper CS (1966) Soil and plant analysis. Hans Publications, Bombay

Prasannakumar V, Shiny R, Geetha N, Vijith H (2011) Spatial prediction of soil erosion risk by remote sensing, GIS and RUSLE approach: a case study of Siruvani river watershed in Attapady valley, Kerala, India. Environ Earth Sci 64:965–972CrossRef

Ratha Krishnan P (2008) Special plantation drive—towards livelihood security in Bundelkhand,Uttar Pradesh. Curr Sci India 95:708

Ravi S, Breshears DD, Huxman TE, D’Odoric P (2010) Land degradation in drylands: interactions among hydrologic-aeolian erosion and vegetation dynamics. Geomorphology 116:236–245CrossRef

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. US Department of Agriculture, Agriculture Handbook 703, Government Printing Office, SSOP, Washington, D.C., p 404. ISBN: 0-16-048938-5

Rezapour S (2014) Response of some soil attributes to different land use types in calcareous soils with Mediterranean type climate in north-west of Iran. Environ Earth Sci 71:2199–2210CrossRef

Romkens MJM, Prasad SN, Poesen JWA (1986) Soil erodibility and properties. In: Proceedings. 13th congress, International soil science society (vol 5, pp 492–504), Germany: Hamburg

Rozos D, Skilodimou HD, Loupasakis C, Bathrellos GD (2013) Application of the revised universal soil loss equation model on landslide prevention. An example from N. Euboea (Evia) Island, Greece. Environ Earth Sci 70:3255–3266CrossRef

Sarangi A, Cox CA, Madramootoo CA (2005) Geostatistical methods for prediction of spatial variability of rainfall in a mountainous region. T ASAE 48:943–954CrossRef

Saygm SD, Basaran M, Ozcan AU, Dolarslan M, Timur OB, Yilman FE, Erpul G (2011) Land degradation assessment by geo-spatially modeling different soil erodibility equations in a semi-arid catchment. Environ Monit Assess 180:201–215CrossRef

Saygm SD, Ozcan AU, Basaran M, Timur OB, Dolarslan M, Yilman FE, Erpul G (2014) The combined RUSLE/SDR approach integrated with GIS and geostatistics to estimate annual sediment flux rates in the semi-arid catchment, Turkey. Environ Earth Sci 71:1605–1618CrossRef

Seager R, Ting M, Held I, Kushnir Y, Lu J, Vecchi G, Huang H, Harnik N, Leetmaa A, Lau N, Li C, Velez J, Naik N (2007) Model projections of an imminent transition to a more arid climate in southwestern North America. Science 316:1181–1184CrossRef

Shepherd TG, Newman RH, Ross CW, Dando JL (2001) Tillage induced changes in soil structure and soil organic matter fraction. Aust J Soil Res 39:465–489CrossRef

Shirazi MA, Boersma L (1984) A unifying quantitative analysis of soil texture. Soil Sci Soc Am J 48:142–147CrossRef

Shirazi MA, Boersma L, Hart W (1988) A unifying analysis of soil texture: improvement of precision and extension of scale. Soil Sci Soc Am J 52:181–190CrossRef

Singh MJ, Khera KL (2009) Physical indicators of soil quality in relation to soil erodibility under different land uses. Arid Land Res Manag 23:152–167CrossRef

Singh R, Phadke VS (2006) Assessing soil loss by water erosion in Jamni River Basin, Bundelkhand region, India, adopting universal soil loss equation using GIS. Curr Sci India 90:1431–1435

Smith RE, Goodrich DC, Quinton JN (1995) Dynamic, distributed simulation of watershed-erosion: the Kineros2 and Eurosem models. J Soil Water Conserv 50:517–520

Soil Survey Staff (1996) Soil survey laboratory methods manual (No. 42, Version 3.0). Soil Survey Investigations Reports, Lincoln: USDA-NRCS

Sparovek G, Bacchi OOS, Schnug E, Ranieri SBL, Maria ICD (2000) Comparison of three water erosion prediction methods (137Cs, WEPP, USLE) in the southeast Brazilian sugarcane production. J Agric Trop Subtrop 101:107–118

Terranova O, Antronico L, Coscarelli R, Iaquinta P (2009) Soil erosion risk scenarios in the Mediterranean environment using RUSLE and GIS: an application model for Calabria (southern Italy). Geomorphology 112:228–245CrossRef

Tiwari SP, Narayan D (2010) Soil and water conservation measures for Bundelkhand region. In: Kokate KD (eds) Extension strategy for Bundelkhand region. Zonal project directorate, zone-IV (ICAR), Kanpur: 48–57

Torri D, Poesen J, Borselli L (1997) Predictability and uncertainty of the soil erodibility factor using a global dataset. Catena 31:1–22CrossRef

Walkley A, Black IA (1934) An examination of the Degtjareff method for determining soil organic matter and a proposed modification of the chromic acid titration method. Soil Sci 37:29–38CrossRef

Wang G, Gertner G, Liu X, Anderson A (2001) Uncertainty assessment of soil erodibility factor for revised universal soil loss equation. Catena 46:1–14CrossRef

Wischmeir WH, Smith DD (1978) Predicting rainfall erosion losses (No. 537). USDA, Agricultural Service Handbook. Washington, DC

Youssef AM, Maerz NH (2013) Overview of some geological hazards in the Saudi Arabia. Environ Earth Sci 70:3115–3130CrossRef

Title: Geospatial comparison of four models to predict soil erodibility in a semi-arid region of Central India
Authors: Partha Pratim Adhikary
S. P. Tiwari
Debashis Mandal
Brij Lal Lakaria
M. Madhu
Publication date: 01-12-2014
Publisher: Springer Berlin Heidelberg
Published in: Environmental Earth Sciences / Issue 12/2014
Print ISSN: 1866-6280
Electronic ISSN: 1866-6299
DOI: https://doi.org/10.1007/s12665-014-3374-7

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Other articles of this Issue 12/2014

Removal of lead (II) from aqueous stream by chemically enhanced kapok fiber adsorption

Hydrologic effects of climate change in a sub-basin of the Western Bug River, Western Ukraine

An assessment of natural radioactivity levels and radiation hazards in the soil of Coonoor, South India

Integrated water resources management under different hydrological, climatic and socio-economic conditions: results and lessons learned from a transdisciplinary IWRM project IWAS

Assessing the potential for deterioration of limestones forming Taq-e Bostan monuments under freeze–thaw weathering and karst development

Sediment quality assessment for heavy metal pollution in the Xiang-jiang River (China) with the equilibrium partitioning approach