IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v10y2021i4p422-d536996.html
   My bibliography  Save this article

Modeling Approaches to Assess Soil Erosion by Water at the Field Scale with Special Emphasis on Heterogeneity of Soils and Crops

Author

Listed:
  • Ahsan Raza

    (Institute of Crop Science and Resource Conservation (INRES), Crop Science Group, University of Bonn, Katzenburgweg 5, 53115 Bonn, Germany)

  • Hella Ahrends

    (Institute of Crop Science and Resource Conservation (INRES), Crop Science Group, University of Bonn, Katzenburgweg 5, 53115 Bonn, Germany
    Department of Agricultural Sciences, University of Helsinki, 00014 Helsinki, Finland)

  • Muhammad Habib-Ur-Rahman

    (Institute of Crop Science and Resource Conservation (INRES), Crop Science Group, University of Bonn, Katzenburgweg 5, 53115 Bonn, Germany
    Department of Agronomy, MNS-University of Agriculture, Multan, Punjab 60000, Pakistan)

  • Thomas Gaiser

    (Institute of Crop Science and Resource Conservation (INRES), Crop Science Group, University of Bonn, Katzenburgweg 5, 53115 Bonn, Germany)

Abstract

Information on soil erosion and related sedimentation processes are very important for natural resource management and sustainable farming. Plenty of models are available for studying soil erosion but only a few are suitable for dynamic soil erosion assessments at the field-scale. To date, there are no field-scale dynamic models available considering complex agricultural systems for the simulation of soil erosion. We conducted a review of 51 different models evaluated based on their representation of the processes of soil erosion by water. Secondly, we consider their suitability for assessing soil erosion for more complex field designs, such as patch cropping, strip cropping and agroforestry (alley-cropping systems) and other land management practices. Several models allow daily soil erosion assessments at the sub-field scale, such as EPIC, PERFECT, GUEST, EPM, TCRP, SLEMSA, APSIM, RillGrow, WaNuLCAS, SCUAF, and CREAMS. However, further model development is needed with respect to the interaction of components, i.e., rainfall intensity, overland flow, crop cover, and their scaling limitations. A particular shortcoming of most of the existing field scale models is their one-dimensional nature. We further suggest that platforms with modular structure, such as SIMPLACE and APSIM, offer the possibility to integrate soil erosion as a separate module/component and link to GIS capabilities, and are more flexible to simulate fluxes of matter in the 2D/3D dimensions. Since models operating at daily scales often do not consider a horizontal transfer of matter, such modeling platforms can link erosion components with other environmental components to provide robust estimations of the three-dimensional fluxes and sedimentation processes occurring during soil erosion events.

Suggested Citation

  • Ahsan Raza & Hella Ahrends & Muhammad Habib-Ur-Rahman & Thomas Gaiser, 2021. "Modeling Approaches to Assess Soil Erosion by Water at the Field Scale with Special Emphasis on Heterogeneity of Soils and Crops," Land, MDPI, vol. 10(4), pages 1-35, April.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:4:p:422-:d:536996
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/10/4/422/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/10/4/422/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gregory Breetzke & Eric Koomen & William Critchley, 2013. "GIS-Assisted Modelling of Soil Erosion in a South African Catchment: Evaluating the USLE and SLEMSA Approach," Chapters, in: Ralph Wurbs (ed.), Water Resources Planning, Development and Management, IntechOpen.
    2. Gaiser, Thomas & Perkons, Ute & Küpper, Paul Martin & Kautz, Timo & Uteau-Puschmann, Daniel & Ewert, Frank & Enders, Andreas & Krauss, Gunther, 2013. "Modeling biopore effects on root growth and biomass production on soils with pronounced sub-soil clay accumulation," Ecological Modelling, Elsevier, vol. 256(C), pages 6-15.
    3. McCown, R. L. & Hammer, G. L. & Hargreaves, J. N. G. & Holzworth, D. P. & Freebairn, D. M., 1996. "APSIM: a novel software system for model development, model testing and simulation in agricultural systems research," Agricultural Systems, Elsevier, vol. 50(3), pages 255-271.
    4. Probert, M. E. & Dimes, J. P. & Keating, B. A. & Dalal, R. C. & Strong, W. M., 1998. "APSIM's water and nitrogen modules and simulation of the dynamics of water and nitrogen in fallow systems," Agricultural Systems, Elsevier, vol. 56(1), pages 1-28, January.
    5. Cabelguenne, M. & Debaeke, Ph. & Puech, J. & Bosc, N., 1997. "Real time irrigation management using the EPIC-PHASE model and weather forecasts," Agricultural Water Management, Elsevier, vol. 32(3), pages 227-238, March.
    6. Sushil Pandey & Humnath Bhandari & Shijun Ding & Preeda Prapertchob & Ramesh Sharan & Dibakar Naik & Sudhir K. Taunk & Asras Sastri, 2007. "Coping with drought in rice farming in Asia: insights from a cross‐country comparative study," Agricultural Economics, International Association of Agricultural Economists, vol. 37(s1), pages 213-224, December.
    7. Ashish Pandey & V. Chowdary & B. Mal, 2007. "Identification of critical erosion prone areas in the small agricultural watershed using USLE, GIS and remote sensing," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(4), pages 729-746, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tesfa Gebrie Andualem & Guna A. Hewa & Baden R. Myers & Stefan Peters & John Boland, 2023. "Erosion and Sediment Transport Modeling: A Systematic Review," Land, MDPI, vol. 12(7), pages 1-20, July.
    2. Nareth Nut & Machito Mihara & Jaehak Jeong & Bunthan Ngo & Gilbert Sigua & P.V. Vara Prasad & Manny R. Reyes, 2021. "Land Use and Land Cover Changes and Its Impact on Soil Erosion in Stung Sangkae Catchment of Cambodia," Sustainability, MDPI, vol. 13(16), pages 1-25, August.
    3. Chathura Palliyaguru & Vindhya Basnayake & Randika K. Makumbura & Miyuru B. Gunathilake & Nitin Muttil & Eranga M. Wimalasiri & Upaka Rathnayake, 2022. "Evaluation of the Impact of Land Use Changes on Soil Erosion in the Tropical Maha Oya River Basin, Sri Lanka," Land, MDPI, vol. 12(1), pages 1-33, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cabelguenne, M. & Debaeke, P. & Bouniols, A., 1999. "EPICphase, a version of the EPIC model simulating the effects of water and nitrogen stress on biomass and yield, taking account of developmental stages: validation on maize, sunflower, sorghum, soybea," Agricultural Systems, Elsevier, vol. 60(3), pages 175-196, June.
    2. Thomas, N., 2021. "Alternative Crop Management Methods to Increase Crop Productivity and Farmer Utility," 2021 Conference, August 17-31, 2021, Virtual 315042, International Association of Agricultural Economists.
    3. Farquharson, Robert J. & Cacho, Oscar J. & Mullen, John D., 2005. "An economic approach to soil fertility management for wheat production in New South Wales and Queensland," 2005 Conference (49th), February 9-11, 2005, Coff's Harbour, Australia 137866, Australian Agricultural and Resource Economics Society.
    4. Chauhan, Yashvir S., 2010. "Potential productivity and water requirements of maize-peanut rotations in Australian semi-arid tropical environments--A crop simulation study," Agricultural Water Management, Elsevier, vol. 97(3), pages 457-464, March.
    5. Kodur, S., 2017. "Improving the prediction of soil evaporation for different soil types under dryland cropping," Agricultural Water Management, Elsevier, vol. 193(C), pages 131-141.
    6. Masikati, P. & Manschadi, A. & van Rooyen, A. & Hargreaves, J., 2014. "Maize–mucuna rotation: An alternative technology to improve water productivity in smallholder farming systems," Agricultural Systems, Elsevier, vol. 123(C), pages 62-70.
    7. Farquharson, Robert J., 2006. "Production Response and Input Demand in Decision Making: Nitrogen Fertilizer and Wheat Growers," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 14.
    8. Chikowo, R. & Corbeels, M. & Tittonell, P. & Vanlauwe, B. & Whitbread, A. & Giller, K.E., 2008. "Aggregating field-scale knowledge into farm-scale models of African smallholder systems: Summary functions to simulate crop production using APSIM," Agricultural Systems, Elsevier, vol. 97(3), pages 151-166, June.
    9. Stewart, L.K. & Charlesworth, P.B. & Bristow, K.L. & Thorburn, P.J., 2006. "Estimating deep drainage and nitrate leaching from the root zone under sugarcane using APSIM-SWIM," Agricultural Water Management, Elsevier, vol. 81(3), pages 315-334, March.
    10. Dokoohaki, Hamze & Miguez, Fernando E. & Archontoulis, Sotirios & Laird, David, 2018. "Use of inverse modelling and Bayesian optimization for investigating the effect of biochar on soil hydrological properties," Agricultural Water Management, Elsevier, vol. 208(C), pages 268-274.
    11. Parsons, David & Nicholson, Charles F. & Blake, Robert W. & Ketterings, Quirine M. & Ramírez-Aviles, Luis & Fox, Danny G. & Tedeschi, Luis O. & Cherney, Jerome H., 2011. "Development and evaluation of an integrated simulation model for assessing smallholder crop-livestock production in Yucatán, Mexico," Agricultural Systems, Elsevier, vol. 104(1), pages 1-12, January.
    12. Snow, V. O. & Bond, W. J. & Myers, B. J. & Theiveyanathan, S. & Smith, C. J. & Benyon, R. G., 1999. "Modelling the water balance of effluent-irrigated trees," Agricultural Water Management, Elsevier, vol. 39(1), pages 47-67, February.
    13. Nishat, S. & Guo, Y. & Baetz, B.W., 2007. "Development of a simplified continuous simulation model for investigating long-term soil moisture fluctuations," Agricultural Water Management, Elsevier, vol. 92(1-2), pages 53-63, August.
    14. Yunfeng Li & Quanqing Feng & Dongwei Li & Mingfa Li & Huifeng Ning & Qisheng Han & Abdoul Kader Mounkaila Hamani & Yang Gao & Jingsheng Sun, 2022. "Water-Salt Thresholds of Cotton ( Gossypium hirsutum L.) under Film Drip Irrigation in Arid Saline-Alkali Area," Agriculture, MDPI, vol. 12(11), pages 1-21, October.
    15. R. Jaiswal & T. Thomas & R. Galkate & N. Ghosh & S. Singh, 2014. "Watershed Prioritization Using Saaty’s AHP Based Decision Support for Soil Conservation Measures," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(2), pages 475-494, January.
    16. Hao, Shirui & Ryu, Dongryeol & Western, Andrew W & Perry, Eileen & Bogena, Heye & Franssen, Harrie Jan Hendricks, 2024. "Global sensitivity analysis of APSIM-wheat yield predictions to model parameters and inputs," Ecological Modelling, Elsevier, vol. 487(C).
    17. Pradeep Mishra & Zhi-Qiang Deng, 2009. "Sediment TMDL Development for the Amite River," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(5), pages 839-852, March.
    18. El-Naggar, A.G. & Hedley, C.B. & Horne, D. & Roudier, P. & Clothier, B.E., 2020. "Soil sensing technology improves application of irrigation water," Agricultural Water Management, Elsevier, vol. 228(C).
    19. Qureshi, Muhammad Ejaz & Arunakumaren, J. & Bajracharya, K. & Wegener, Malcolm K. & Qureshi, S.E. & Bristow, Keith L., 2002. "Economic and environmental impacts of groundwater management scenarios in Burdekin Delta," 2002 Conference (46th), February 13-15, 2002, Canberra, Australia 125148, Australian Agricultural and Resource Economics Society.
    20. Negm, L.M. & Youssef, M.A. & Skaggs, R.W. & Chescheir, G.M. & Jones, J., 2014. "DRAINMOD–DSSAT model for simulating hydrology, soil carbon and nitrogen dynamics, and crop growth for drained crop land," Agricultural Water Management, Elsevier, vol. 137(C), pages 30-45.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:10:y:2021:i:4:p:422-:d:536996. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.