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Modeling of sediment generation from forest roads employing SEDMODL and its calibration for Hyrcanian forests in northern Iran

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Abstract

Forest roads network is one of the main sources of sediment generation in the forest watersheds. It is difficult to estimate the sediment rate using direct methods, because of more time consuming and costs. Therefore, it is vital to use erosion and sediment models that require less time and cost. To start with, the study area (northern Iran) was selected by homogeneous units based on different digital layers such as soil texture, geology, precipitation, and topography in geographic information system and supported by extensive field surveys. Afterward, the sediment trapping wooden dams were constructed on the output culverts in homogeneous units. Next, the trapped sediments were measured in 45 wooden dams and compared with the values of estimated sediments using SEDMODL 2.0. After that, thirty wooden dam samples were used for modeling/calibration aims and the remaining 15 wooden dams were used for model validation. As a result, comparing the observed sediments with the estimated sediments by SEDMODL, it has been revealed that the mean estimated sediment rate by SEDMODL was about 8% less than the actual observation values by the direct method. Moreover, the results showed that average trapping coefficient of the sediment was about 0.25 (sediments traps on the road edges). Finally, validation results for 15 wooden dams were used to investigate the accuracy of the model. Accordingly, the results exposed an increase in model efficiency after calibration for the given forest area. To enclose, the overall results showed that SEDMODL model can contribute as a tool for a quick, accurate, and acceptable generation of estimations accommodating sediment yields.

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References

  • Akay AE, Sessions J (2005) Applying the decision support system, TRACER, to forest road design. West J Appl For 20:184–191

    Google Scholar 

  • Akay AE, Erdas EM, Reis M, Yuksel A (2008) Estimating sediment yield from forest road network by using a sediment model and GIS techniques. Build Environ 43:678–695

    Article  Google Scholar 

  • Brown KR, Kevin J, McGuire W, Cully H, Michael AW (2015) Can the water erosion prediction project model be used to estimate best management practice effectiveness from forest roads? J For 1:17–26

    Google Scholar 

  • Burroughs ER, King JG (1989) Reduction of soil erosion on forest roads. USDA Forest Service, Intermountain Research Station, Ogden, Utah. General Technical Report INT, p 264

  • Çalışkan E (2012) Evaluation of sediment erosion prediction models to forest road in mountain area. J Appl Environ Biolsci 2:567–580

    Google Scholar 

  • Cerdà A (1997) Soil erosion after land abandonment in a semiarid environment of southeastern Spain. Arid Soil Res Rehabil 11:163–176

    Article  Google Scholar 

  • Cerdà A (2002) The effect of season and parent material on water erosion on highly eroded soils in eastern Spain. J Arid Environ 52:319–337

    Article  Google Scholar 

  • Cerdà A (2007) Soil water erosion on road embankments in eastern Spain. Sci Total Environ 378:151–155

    Article  Google Scholar 

  • Cochrane TA, Egli M, Phillips C, Acharya G (2007) Development of a forest road erosion calculation GIS tool for forest road planning and design. Modsim, International Congress on Modeling and Simulation Land, Water, & Environmental Management Integrating Systems for Sustainability, Christchurch, pp 1273–1279

    Google Scholar 

  • Cohen MJ, Shepherd KD, Walsh MG (2005) Empirical reformulation of the universal soil loss equation for erosion risk assessment in a tropical watershed. Geoderma 124:235–252

    Article  Google Scholar 

  • Cohn TA (1995) Recent advances in statistical methods for the estimation of sediment and nutrient transport in rivers. Rev Geophys 16:1117–1123

    Article  Google Scholar 

  • Dalir P, Naghdi R, Gholami V (2014) Modeling of forest road sediment in the northern forest of Iran (Lomir Watershed). J For Sci 60:109–114

    Article  Google Scholar 

  • Demir M (2012) Interactions of forest road, forest harvesting and forest ecosystems. Forest Ecosystems—More than Just Trees Dr Juan A Blanco. ISBN 953-978

  • Demir M, Hasdemir M (2005) Functional planning criterion of forest road network systems according to recent forestry development and suggestion in Turkey. Am J Environ Sci 1:8–22

    Google Scholar 

  • Elliot WJ (2004) WEPP internet interfaces for forest erosion prediction. J Am Water Resour Assoc 40:299–309

    Article  Google Scholar 

  • Elliot WJ, Hall DE, Scheele DL (1999) WEPP interface for predicting forest road runoff, erosion and sediment delivery. US Department of Agriculture, Forest Service, Rocky Mountain Research Station, San Dimas Technology and Development Center 61, pp 92–103

  • Endreny T, Hassett J (2005) Robustness of pollutant loading estimators for sample size reduction in a suburban watershed. Int J River Basin Manag 3:53–66

    Article  Google Scholar 

  • Esmaeeli Gholzom H, Gholami V (2012) A comparison between natural forests and reforested lands in terms of runoff generation potential and hydrologic response (case study: Kasilian Watershed). J Soil Water Res 4:166–173

    Google Scholar 

  • Foltz RB (1999) Traffic and no-traffic on an aggregate surfaced road: sediment production-differences. Paper presented at Seminar on environmentally sound forest roads and wood transport. Food and Agric Organ

  • Foltz RB, Burroughs ER (1990) Sediment production from forest roads with wheel ruts. In: Proceedings of a symposium on watershed planning and analysis. Durango CO ASCE, pp 266–275

  • Forsyth AR, Bubb KA, Cox ME (2006) Runoff, sediment loss and water quality from forest roads in a southeast Queensland coastal plain Pinus plantation. For Ecol Manag 221:194–206

    Article  Google Scholar 

  • Fu B, Newham LT, Field JB (2009) Modeling erosion and sediment delivery from unsealed roads in southeast Australia. Math Comput Simul 79:2679–2688

    Article  Google Scholar 

  • García E, Andreu V, Rubio JL (2007) Influence of vegetation recovery on water erosion at short and medium-term after experimental fires in a Mediterranean shrub land. CATENA 69:150–160

    Article  Google Scholar 

  • Gholami V (2013) The influence of deforestation on runoff generation and soil erosion (Case study: Kasilian Watershed). J For Sci 7:272–278

    Google Scholar 

  • Gholami V, Khaleigh MR (2013) The impact of vegetation on the bank erosion (case study: The Haraz River). Soil Water Res 4:158–164

    Google Scholar 

  • Gholami V, Azod M, Bashirgonbad M, Zabardast HA (2009) The influence of anthropogenic activities on intensifying runoff generation and flood hazard in Kasilian watershed. J Appl Sci 20:3723–3730

    Google Scholar 

  • Gholami V, Mohseni M, Ahmadi M (2010) Effects of impervious surfaces and urban development on runoff generation and flood hazard in the Hajighoshan watershed. Casp J Environ Sci 1:1–12

    Google Scholar 

  • Kao S, Lee T, Milliman JD (2005) Calculating highly fluctuated suspended sediment fluxes from mountainous rivers in Taiwan. TAO 16:653–675

    Google Scholar 

  • Kartaloglu M (2011)Temporal variation of sedimentation on paved and unpaved forest roads. Master of Science Thesis (Advisory of Dr. Murat Demir and Dr. Ender Makineci), Istanbul University, Science Institute, Istanbul

  • Ketcheson GL, Megahan WF (1996) Sediment production and down slope sediment transport from forest roads in granites watersheds. US Department of Agriculture, Forest Service, Intermountain Research Station

  • Kociuba W, Janicki G, Rodzik J, Stepniewski K (2015) Comparison of volumetric and remote sensing methods (TLS) for assessing the development of a permanent forested loess gully. Nat Hazards 79:139–158

    Article  Google Scholar 

  • Laflen JM, Flanagan DC, Engel BA (2004) Soil erosion and sediment yield prediction accuracy using WEPP. J Am Water Resour Assoc 2:289–297

    Article  Google Scholar 

  • Lopez AJ, Martinez-Zavala L, Bellinfante N (2009) Impact of different parts of unpaved forest roads on runoff and sediment yield in a Mediterranean area. Sci Total Environ 4:937–944

    Article  Google Scholar 

  • Luce CH, Black TA (1999) Sediment production from forest roads in western Oregon. Water Resour Res 35:2561–2570

    Article  Google Scholar 

  • Naghdi R, Solgi A, Ilstedt U (2016) Soil chemical and physical properties after skidding by rubber-tired skidder in Hyrcanian forest, Iran. Geoderma 265:12–18

    Article  Google Scholar 

  • Najafi A, Solgi A, Sadeghi SH (2009) Soil disturbance following four wheel rubber skidder logging on the steep trail in the north mountainous forest of Iran. Soil Till Res 103:165–169

    Article  Google Scholar 

  • Parsakhoo A, Lotfalian M, Kavian A, Hosseini A (2014) Prediction of the soil erosion in a forest and sediment yield from road network through GIS and SEDMODL. Int J Sediment Res 29:118–125

    Article  Google Scholar 

  • QuynhAnh TP, Gomi T, MacDonald LH, Mizugaki S, Khoa P, Furuichi T (2014) Linkages among land use, macronutrient levels, and soil erosion in northern Vietnam: a plot-scale study. Geoderma 232–234:352–362

    Google Scholar 

  • Rawat PK, Tiwari PC, Pant C, Sharama AK (2011) Pant modeling of stream run-off and sediment output for erosion hazard assessment in Lesser Himalaya: need for sustainable land use plan using remote sensing and GIS: a case study. Nat Hazard 59:1277–1297

    Article  Google Scholar 

  • Reid LM (1981) Sediment production from gravel-surfaced forest roads, Clearwater basin, Washington. FRI-UW-8108. Fisheries Research Institute, University of Washington, Seattle, p 247

    Google Scholar 

  • Reid LM, Dunne T (1984) Sediment production from forest road surfaces. Water Resour Res 20:1753–1761

    Article  Google Scholar 

  • Reinig L, Beveridge RL, Potyondy JP, Hernandez FM (1991) BOISED user’s guide and program documentation. USDA Forest Service, Boise National Forest 12

  • Safari A, Kavian A, Parsakhoo A, Saleh I, Jordán A (2016) Impact of different parts of skid trails on runoff and soil erosion in the Hyrcanian forest (northern Iran). Geoderma 263:161–167

    Article  Google Scholar 

  • Sawyers BC, Bolding MC, Aust WM, Lakel WA (2012) Effectiveness and implementation costs of overland skid trail closure techniques in the Virginia Piedmont. J Soil Water Conserv 4:300–310

    Article  Google Scholar 

  • Sheridan G, Noske PJ (2007) A quantitative study of sediment delivery and stream pollution from different forest road types. Hydrol Process 21:387–398

    Article  Google Scholar 

  • Skaugset AE, Surfleet CG, Meadows MW, Amann J (2011) Evaluation of erosion prediction models for forest roads. Transp Res Rec J Transp Res B 1:3–12

    Article  Google Scholar 

  • Surfleet CG, Skaugset AE, Meadows MW (2011) Road runoff and sediment sampling for determining road sediment yield at the watershed scale. Can J For Res 41:1970–1980

    Article  Google Scholar 

  • Walling DE, Fang D (2003) Recent trends in the suspended sediment loads of the world’s rivers. Glob Planet Change 39:111–126

    Article  Google Scholar 

  • WDNR (1995) Standard methodology for conducting watershed analysis, Version 3.0. Washington Forest Practices Board

  • WFPB (1997) Washington Forest Practices Board Manual: standard methodology for conducting watershed analysis, Version 4.0

  • Williams T (1998) The unkindest cuts. Audubon (January–February) 24–31

  • Yüksel A, Akay AE, Gundogan R, Reis M, Cetiner M (2008) Application of GeoWEPP for determining sediment yield and runoff in the Orcan Creek watershed in Kahramanmaras, Turkey. Sensors 2:1222–1236

    Article  Google Scholar 

Download references

Acknowledgements

We would like to thank the Natural Resources Organization and Watershed Management of Guilan and Regional Water Company of Guilan for helping us to provide the secondary data and data preprocessing.

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Authors and Affiliations

  1. Department of Forestry, Faculty of Natural Resources, University of Guilan, P.O. Box 1144, Sowme’eh Sara, Guilan, Iran

    R. Naghdi & P. Dalir

  2. Department of Range and Watershed Management, Faculty of Natural Resources, University of Guilan, P.O. Box 1144, Sowme’eh Sara, Guilan, Iran

    V. Gholami

  3. Department of Natural Resources and Environmental Engineering, College of Agriculture, Shiraz University, Shiraz, Iran

    H. R. Pourghasemi

Authors
  1. R. Naghdi
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  2. P. Dalir
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  3. V. Gholami
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  4. H. R. Pourghasemi
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Correspondence to R. Naghdi.

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Naghdi, R., Dalir, P., Gholami, V. et al. Modeling of sediment generation from forest roads employing SEDMODL and its calibration for Hyrcanian forests in northern Iran. Environ Earth Sci 76, 414 (2017). https://doi.org/10.1007/s12665-017-6758-7

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