The Brigalow Catchment Study: VI.† Evaluation of the RUSLE and MUSLE models to assess the impact of clearing brigalow (Acacia harpophylla) on sediment yield
J. Tiwari
A , C. M. Thornton B and B. Yu A *
+ Author Affiliations
- Author Affiliations
A School of Engineering and Built Environment, Australian Rivers Institute, Griffith University, Nathan, Qld 4111, Australia.
B Department of Resources, Mines, and Energy, PO Box 1762, Rockhampton, Qld 4700, Australia.
Soil Research 59(8) 778-793 https://doi.org/10.1071/SR21030
Submitted: 3 February 2021 Accepted: 27 May 2021 Published: 4 October 2021
© 2021 The Author(s) (or their employer(s)). Published by CSIRO Publishing. This is an open access article distributed under the Creative Commons Attribution 4.0 International License (CC BY)
Abstract
Land clearing for cropping and grazing has increased runoff and sediment yield in Central Queensland. The Brigalow Catchment Study (BCS), was established to determine the effect of land clearing on water balance, soils, and productivity, and consisted of three catchments: brigalow forest, cropping, and grazing. Factors responsible for changes in and models for predicting sediment yield have not been assessed. Objectives of this study are to identify climatic, hydrological, and ground cover factors responsible for the increased sediment yield and to assess suitable models for sediment yield prediction. Runoff and sediment yield data from 1988 to 2018 were used to assess the Revised Universal Soil Loss Equation (RUSLE) and the Modified USLE (MUSLE) to predict the sediment yield in brigalow catchments. Common events among the three catchments and events for all catchment pairs were assessed. The sediment yield was approximately 44% higher for cropping and 4% higher for grazing than that from the forested catchment. The runoff amount (Q) and peak runoff rate (Qp) were major variables that could explain most of the increased sediment yield over time. A comparison for each catchment pair showed that sediment yield was 801 kg ha−1 or 37% higher for cropping and 28 kg ha−1 or 2% higher for grazing than for the forested catchment. Regression analysis for three different treatments (seven common events) and for different storm events (15 for forested, 40 for cropping, and 20 for grazing) showed that Q and Qp were best correlated with sediment yield in comparison with variations in ground cover. The high coefficient of determination (R2 > 0.60) provided support for using the MUSLE model, based on both Q and Qp, instead of the RUSLE, and Q and Qp were the most important factors for improving sediment yield predictions from BCS catchments.
Keywords: brigalow clearing, ground cover treatment, peak runoff rate, RUSLE and MUSLE, runoff, sediment yield, small dry catchments, storm events.
References
Aghsaei H, Dinan NM, Moridi A, Asadolahi Z, Delavar M, Fohrer N, Wagner PD (2020) Effects of dynamic land use/land cover change on water resources and sediment yield in the Anzali wetland catchment, Gilan, Iran. Science of the Total Environment 712, 136449| Effects of dynamic land use/land cover change on water resources and sediment yield in the Anzali wetland catchment, Gilan, Iran.Crossref | GoogleScholarGoogle Scholar |
Arekhi S, Shabani A, Rostamizad G (2012) Application of the modified universal soil loss equation (MUSLE) in prediction of sediment yield (case study: Kengir Watershed, Iran). Arabian Journal of Geosciences 5, 1259–1267.
| Application of the modified universal soil loss equation (MUSLE) in prediction of sediment yield (case study: Kengir Watershed, Iran).Crossref | GoogleScholarGoogle Scholar |
Bartley R, Waters D, Turner R, Kroon F, Wilkinson S, Garzon-Garcia A, Kuhnert P, Lewis S, Smith R, Bainbridge Z, Olley J, Brooks A, Burton J, Brodie J, Waterhouse J (2017) ‘Scientific Consensus Statement 2017: a synthesis of the science of land-based water quality impacts on the Great Barrier Reef. Chapter 2: Sources of sediment, nutrients, pesticides and other pollutants to the Great Barrier Reef’. (State of Queensland: Brisbane, Qld, Australia)
Borrelli P, Robinson DA, Fleischer LR, et al. (2017) An assessment of the global impact of 21st century land use change on soil erosion. Nature Communications 8,
| An assessment of the global impact of 21st century land use change on soil erosion.Crossref | GoogleScholarGoogle Scholar | 29222506PubMed |
Bosomworth B, Silburn DM, Eyles M, Shrestha K (2018) K-factor soil erodibility study on grazing lands: paddock to reef program: rainfall simulation program 2014 to 2018. Report to the Australian and Queensland Governments’ paddock to reef program. 53 pp. (Department of Natural Resources, Mines and Energy: Rockhampton, Qld, Australia)
Bostock HC, Ryan DA, Brooke BP, Packett R, Hancock G, Pietsch T, Revill A, Leeming P, Moss P, Harle K (2006). Sediment accumulation and Holocene evolution of the Fitzroy River lower floodplain, central Queensland, Australia. Cooperative Research Centre for Coastal Zone Estuary and Waterway Management. Technical report no. 48. Coastal CRC, Indooroopilly, Qld, Australia.
Cheng Z, Yu B (2019) Effect of land clearing and climate variability on streamflow for two large basins in central Queensland, Australia. Journal of Hydrology 578, 124041
| Effect of land clearing and climate variability on streamflow for two large basins in central Queensland, Australia.Crossref | GoogleScholarGoogle Scholar |
Cowie BA, Thornton CM, Radford BJ (2007) The Brigalow Catchment Study: I. Overview of a 40-year study of the effects of land clearing in the brigalow bioregion of Australia. Australian Journal of Soil Research Soil Research 45, 479–495.
| The Brigalow Catchment Study: I. Overview of a 40-year study of the effects of land clearing in the brigalow bioregion of Australia.Crossref | GoogleScholarGoogle Scholar |
Department of Environment and Heritage (2006) Databases and maps; information for decision making. Available at www.deh.gov.au/index.html. [Accessed 17 September 2007]
Djoukbala O, Hasbaia M, Benselama O, Mazour M (2019) Comparison of the erosion prediction models from USLE, MUSLE and RUSLE in a Mediterranean watershed, case of Wadi Gazouana (NW of Algeria). Modeling Earth Systems and Environment 5, 725–743.
| Comparison of the erosion prediction models from USLE, MUSLE and RUSLE in a Mediterranean watershed, case of Wadi Gazouana (NW of Algeria).Crossref | GoogleScholarGoogle Scholar |
Dougall C, McCloskey GL, Ellis R, Shaw M, Waters D, Carroll C (2014) Modelling reductions of pollutant loads due to improved management practices in the Great Barrier Reef catchments – Fitzroy NRM region, Technical report, vol. 6. Queensland Department of Natural Resources and Mines, Rockhampton, Qld, Australia.
Ehigiator OA, Anyata BU (2011) Effects of land clearing techniques and tillage systems on runoff and soil erosion in a tropical rain forest in Nigeria. Journal of Environmental Management 92, 2875–2880.
| Effects of land clearing techniques and tillage systems on runoff and soil erosion in a tropical rain forest in Nigeria.Crossref | GoogleScholarGoogle Scholar | 21783317PubMed |
Elledge A, Thornton C (2017) Effect of changing land use from virgin brigalow (Acacia harpophylla) woodland to a crop or pasture system on sediment, nitrogen and phosphorus in runoff over 25 years in subtropical Australia. Agriculture, Ecosystems & Environment 239, 119–131.
| Effect of changing land use from virgin brigalow (Acacia harpophylla) woodland to a crop or pasture system on sediment, nitrogen and phosphorus in runoff over 25 years in subtropical Australia.Crossref | GoogleScholarGoogle Scholar |
Erskine WD, Mahmoudzadeh A, Myers C (2002) Land use effects on sediment yields and soil loss rates in small basins of Triassic sandstone near Sydney, NSW, Australia. Catena 49, 271–287.
| Land use effects on sediment yields and soil loss rates in small basins of Triassic sandstone near Sydney, NSW, Australia.Crossref | GoogleScholarGoogle Scholar |
Estrepo JD, Syvitski JPM (2006) Assessing the effect of natural controls and land use change on sediment yield in a major Andean river: the Magdalena drainage basin, Colombia. Ambio: A Journal of the Human Environment 35, 65–74.
| Assessing the effect of natural controls and land use change on sediment yield in a major Andean river: the Magdalena drainage basin, Colombia.Crossref | GoogleScholarGoogle Scholar |
Foster GR, McCool DK, Renard KG, Moldenhauer WC (1981) Conversion of the universal soil loss equation to SI metric units. Journal of Soil and Water Conservation 36, 355–359.
Foster GR, Lombardi F, Moldenhauer WC (1982) Evaluation of rainfall–runoff erosivity factors for individual storms. Transactions of the ASAE 25, 0124–0129.
| Evaluation of rainfall–runoff erosivity factors for individual storms.Crossref | GoogleScholarGoogle Scholar |
Gashaw T, Tulu T, Argaw M, Worqlul AW (2019) Modeling the impacts of land use–land cover changes on soil erosion and sediment yield in the Andassa watershed, upper blue Nile basin, Ethiopia. Environmental Earth Sciences 78,
| Modeling the impacts of land use–land cover changes on soil erosion and sediment yield in the Andassa watershed, upper blue Nile basin, Ethiopia.Crossref | GoogleScholarGoogle Scholar |
Kinnell PIA (2004) Runoff, sediment concentration and predicting erosion on hill slopes within catchments. In ‘ISCO 2004 – 13th International Soil Conservation Organization conference, Brisbane, July 2004’. Conserving Soil and Water for Society: sharing solutions. Paper no. 132. (Eds SR Raine, AJW Biggs, NW Menzies, DM Freebairn, PE Tolmie) pp. 1–6. (Australian Society of Soil Science Incorported and International Erosion Control Association: Australasia) Available at https://scholar.google.com/scholar_lookup?title=Runoff%2C%20sediment%20concentration%20and%20predicting%20erosion%20on%20hillslopes%20within%20catchments&publication_year=2004&author=P.I.A.%20Kinnell
Kinnell PIA (2010) Event soil loss, runoff and the universal soil loss equation family of models: a review. Journal of Hydrology 385, 384–397.
| Event soil loss, runoff and the universal soil loss equation family of models: a review.Crossref | GoogleScholarGoogle Scholar |
Kinnell PIA (2015) Geographic variation of USLE/RUSLE erosivity and erodibility factors. Journal of Hydrologic Engineering 20, C4014012
| Geographic variation of USLE/RUSLE erosivity and erodibility factors.Crossref | GoogleScholarGoogle Scholar |
Kinnell PIA (2016) Comparison between the USLE, the USLE-M and replicate plots to model rainfall erosion on bare fallow areas. Catena 145, 39–46.
| Comparison between the USLE, the USLE-M and replicate plots to model rainfall erosion on bare fallow areas.Crossref | GoogleScholarGoogle Scholar |
Kinnell PIA, Risse LM (1998) USLE-M: empirical modeling rainfall erosion through runoff and sediment concentration. Soil Science Society of America Journal 62, 1667–1672.
| USLE-M: empirical modeling rainfall erosion through runoff and sediment concentration.Crossref | GoogleScholarGoogle Scholar |
Lewis S, Packett B, Dougall C, Brodie J, Bartley R, Silburn, M (2015) ‘Fitzroy sediment story’. (James Cook University: Townsville, Qld, Australia)
Loch RJ, Rosewell CJ (1992) Laboratory methods for measurement of soil erodibilities (K factors) for the universal soil loss equation. Australian Journal of Soil Research 30, 233–248.
| Laboratory methods for measurement of soil erodibilities (K factors) for the universal soil loss equation.Crossref | GoogleScholarGoogle Scholar |
Loch RJ, Slater BK, Devoil C (1998) Soil erodibility (Km) values for some Australian soils. Australian Journal of Soil Research 36, 1045–1056.
| Soil erodibility (Km) values for some Australian soils.Crossref | GoogleScholarGoogle Scholar |
Onstad CA, Foster GR (1975) Erosion modeling on a watershed. Transactions of the ASAE 18, 0288–0292.
| Erosion modeling on a watershed.Crossref | GoogleScholarGoogle Scholar |
Queensland Department of Primary Industries (1993) ‘The condition of river catchments in Queensland. A broad overview of catchment management issues.’ (Queensland Department of Primary Industries: Brisbane, Qld)
Renard KG, Foster GR, Weesies GA, McCool DK, Yoder DC (1997) Estimation of rainfall–runoff erosivity for individual storm events. In ‘Predicting soil erosion by water: a guide to conservation planning with the revised universal soil loss equation, RUSLE’. Agricultural handbook, no. 703. (Eds KG Renard, GR Foster, GA Weesies, DK McCool, DC Yoder) (United States Department of Agriculture: Washington, DC)
Rosewell CJ (1993) ‘SOILOSS: a program to assist in the selection of management practices to reduce erosion’. (Soil Conservation Service of NSW: Sydney, NSW, Australia)
Sadeghi SHR, Gholami L, Khaledi Darvishan A, Saeidi P (2014) A review of the application of the MUSLE model worldwide. Hydrological Sciences Journal 59, 365–375.
| A review of the application of the MUSLE model worldwide.Crossref | GoogleScholarGoogle Scholar |
Sadeghi SHR, Mizuyama T (2007) Applicability of the modified universal soil loss equation for prediction of sediment yield in Khanmirza watershed, Iran. Hydrological Sciences Journal 52, 1068–1075.
| Applicability of the modified universal soil loss equation for prediction of sediment yield in Khanmirza watershed, Iran.Crossref | GoogleScholarGoogle Scholar |
Santos JCND, Andrade EMD, Medeiros PHA, Guerreiro MJS, Palácio HADQ (2017) Land use impact on soil erosion at different scales in the Brazilian semi-arid. Revista Ciência Agronômica 46, 251–256.
| Land use impact on soil erosion at different scales in the Brazilian semi-arid.Crossref | GoogleScholarGoogle Scholar |
Siriwardena L, Finlayson BL, McMahon TA (2006) The impact of land use change on catchment hydrology in large catchments: the Comet river, central Queensland, Australia. Journal of Hydrology 326, 199–214.
| The impact of land use change on catchment hydrology in large catchments: the Comet river, central Queensland, Australia.Crossref | GoogleScholarGoogle Scholar |
Thornton CM, Cowie BA, Freebairn DM, Playford CL (2007) The Brigalow Catchment Study: II. Clearing brigalow (Acacia harpophylla) for cropping or pasture increases runoff. Australian Journal of Soil Research 45, 496–511.
| The Brigalow Catchment Study: II. Clearing brigalow (Acacia harpophylla) for cropping or pasture increases runoff.Crossref | GoogleScholarGoogle Scholar |
Thornton CM, Yu B (2016) The Brigalow Catchment Study: IV. Clearing brigalow (Acacia harpophylla) for cropping or grazing increases peak runoff rate. Soil Research 54, 749–759.
| The Brigalow Catchment Study: IV. Clearing brigalow (Acacia harpophylla) for cropping or grazing increases peak runoff rate.Crossref | GoogleScholarGoogle Scholar |
Thornton C, Radford B, Silburn M, Cowie B (2010) The Brigalow Catchment Study: more than 20 years of monitoring water balance and soil fertility of brigalow lands after clearing for cropping or pasture. In ‘Soil solutions for a changing world. Proceedings of the 19th World Congress of Soil Science; Soil Solutions for a Changing World, 1−6 August 2010, Brisbane, Australia’. (Eds RJ Gilkes, N Prakongkep) pp. 106–109. (International Union of Soil Sciences)
Trevithick R, Scarth P (2013) Estimating RUSLE C-factor values for Great Barrier Reef catchments using satellite derived ground cover estimates. In ‘MODSIM2013, 20th International Congress on Modelling and Simulation, 1−6 December 2013, Adelaide, Australia’. (Eds J Piantadosi, RS Anderssen, J Boland) pp. 3246−3252. (The Modelling and Simulation Society of Australia and New Zealand Inc)
Walling DE (1999) Linking land use, erosion and sediment yields in river basins. In ‘Man and river systems’. (Eds J Garnier, JM Mouchel) pp. 223–240. (Springer: Dordrecht, The Netherlands).
Wilkinson SN, Henderson AE, Chen Y (2004) ‘SedNet user guide. Client report for the cooperative research centre for catchment hydrology’. (CSIRO Land and Water: Canberra, ACT, Australia). Available at http://hdl.handle.net/102.100.100/184593?index=1
Williams JR (1975) Sediment-yield prediction with universal equation using runoff energy factor. In ‘Present and prospective technology for predicting sediment yields and sources’. pp. 244–252. (US Department of Agriculture, Agriculture Research Service: Washington, DC, USA)
Wischmeier WH, Smith DD (1978) ‘Predicting rainfall erosion losses: a guide to conservation planning’. (Department of Agriculture, Science and Education Administration: Hyattsville, MD, USA)
Yu B (1998) Rainfall erosivity and its estimation for Australia’s tropics. Australian Journal of Soil Research 36, 143–166.
| Rainfall erosivity and its estimation for Australia’s tropics.Crossref | GoogleScholarGoogle Scholar |
