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Evaluation of soil loss change after Grain for Green Project in the Loss Plateau: a case study of Yulin, China

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Abstract

Soil erosion is one of the serious and urgent issues in the Loss Plateau of China. Chinese government has implemented Grain for Green Project to restore the ecological environment since 1999. In order to explore the spatiotemporal evolution of erosion and sediment yield before and after Grain for Green Project in the Loss Plateau, annual soil loss of Yulin from 2000 to 2013 is estimated by Chinese Water Erosion on Hillslope Prediction Model in conjunction with Remote Sensing and Geographic Information Systems. This model has the characteristics of a simple algorithm and can be applied to predict erosion in the Loss Plateau. The result shows that vegetation cover increased significantly after Grain for Green Project, and the annual average value of NDVI increased from 0.20 to 0.33. The spatiotemporal variations of soil erosion are largely related to rainfall erosion distribution, slope, and land use type. The overall soil erosion categories in the south region are higher than those of the northwest. Mid slopes and valleys are the major topographic contributors to soil erosion. With the growth of slope gradient, soil erosion significantly increased. The soil loss has a decreasing tendency after Grain for Green Project. Although the rainfall of 2002 and 2013 is similar, the soil loss decreased from 5192.86 to 3598.94 t/(km2 a), decreasing by 30.33%. It is also expressed that soil loss appears a reducing trend in the same degree of slope and elevation in 2002, 2007, and 2013. Under the simulation of the maximum and the minimum rainfall, soil erosion amount in 2013 decreased by 29.16 and 30.88%. The study proved that GFG has already achieved conservation of water and soil. The results indicate that the vegetation restoration as part of the Grain for Green Project on the Loss Plateau is effective.

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References

  • Aiello A, Adamo M, Canora F (2015) Remote sensing and GIS to assess soil erosion with RUSLE 3D and USPED at river basin scale in southern Italy. CATENA 131:174–185

    Article  Google Scholar 

  • Alatorre LC, Beguería S, Lanarenault N, Navas A, Garcíaruiz JM (2012) Soil erosion and sediment delivery in a mountain catchment under scenarios of land use change using a spatially distributed numerical model. Hydrol. Earth Syst 16(5):1321–1334

    Article  Google Scholar 

  • Ali T, Mortula M, Atabay S (2016) GIS-based study on the susceptibility of Dubai Creek (UAE) to eutrophication. Pol J Environ Stud 25(6):2275–2282

    Article  Google Scholar 

  • Cai CF, Ding SW, Shi ZH (2000) Study of applying USLE and geographical information system IDRISI to predict soil erosion in small watershed. J Soil Water Conserv 14(19–24):2 (in Chinese)

    Google Scholar 

  • Cai QG, Wang H, Curtin D, Zhu Y (2005) Evaluation of the EUROSEM model with single event data on Steep lands in the Three Gorges Reservoir Areas, China. CATENA 59(1):19–33

    Article  Google Scholar 

  • Cao S, Chen L, Yu X (2009) Impact of China’s Grain for Green Project on the landscape of vulnerable arid and semi-arid agricultural regions: a case study in northern Shaanxi Province. J Appl Ecol 46(3):536–543

    Article  Google Scholar 

  • Cao S, Tian T, Chen L, Dong X, Yu X, Wang G (2010) Damage caused to the environment by reforestation policies in arid and semi-arid areas of China. Ambio 39(4):279–283

    Article  Google Scholar 

  • Cha LS, Deng GH, Gu JH (2015) Dynamic changes of soil erosion in the Chaohu watershed from 1992 to 2013. Geogr Sin 70(11):1708–1719 (in Chinese)

    Google Scholar 

  • Chen ZH (2015) Problems and countermeasures of the current situation of returning farmland to forest in Yulin area. Agric Technol 35(13):82–83 (in Chinese)

    Google Scholar 

  • Chen FY, Wang ZM (1992) Application of universal soil loss equation at Xiaoliang water and soil conservation experiment station. Bull Soil Water Conserv 12(1):23–41

    Google Scholar 

  • De Jong SM (1994) Derivation of vegetative variable from a Landsat TM image for modeling soil-erosion. Earth Surf Process Landf 19(2):165–178

    Article  Google Scholar 

  • Deng W, Yuan XZ, Liu H, Zhang YW, Li B (2014) Influence of regional climate change on vegetation cover in the middle and lower Yangtze River Basin. Res Environ Sci 27(9):1032–1042 (in Chinese)

    Google Scholar 

  • Durigon VL, Carvalho DF, Antunes MAH, Oliveira PTS, Fernandes MM (2014) NDVI time series for monitoring RUSLE cover management factor in a tropical watershed. Int J Remote Sens 35(2):441–453

    Article  Google Scholar 

  • E JP (2008) The scientific summary report of Chinese soil loss and ecological security. J Soil Water Conserv 12(5):3–6 (in Chinese)

  • Egginton P, Beall F, Buttle J (2014) Reforestation-climate change and water resource implications. For Chron 90(4):516–524

    Article  Google Scholar 

  • Flanagan DC (2007) Water erosion prediction project (WEPP): development history, model capabilities, and future enhancements. Trans Asabe 50(5):1603–1612

    Article  Google Scholar 

  • Fu BJ, Zhao WW, Chen LD (2005) Assessment of soil erosion at large watershed scale using RUSLE and GIS: a case study in the Loess Plateau of China. Land Degrad Dev Land Degrad 16:73–8513

    Article  Google Scholar 

  • Gao HD, Li ZB, Jia LL, Li P (2015) The capacity of soil loss control in the Loess Plateau based on soil erosion control degree. J Geog Sci 26(4):457–472

    Article  Google Scholar 

  • Gosling SN, Taylor RG, Arnell NW, Todd MC (2011) A comparative analysis of projected impacts of climate change on river runoff from global and catchment-scale hydrological models. Hydrol Earth Syst Sci 15(1):279–294

    Article  Google Scholar 

  • He YM (2015) Interaction between vegetation cover and regional climate on the Loss Plateau. Beijing Forestry University, Beijing

    Google Scholar 

  • He HJ, Zhuo J, Wang J, Dong JF, Quang WT (2016) Relationship between fractional vegetation cover and humidity index after returning farmland to forest in Shaanxi Province. Acta Ecol Sin 36(2):439–447

    Google Scholar 

  • Hickey R (2000) Slope angle and slope length solutions for GIS. Cartography 29(1):1–8

    Article  Google Scholar 

  • Huang C, Yang H, Li Y, Zhang M, Lv H (2017) Quantificational effect of reforestation to soil erosion in subtropical monsoon regions with acid red soil by sediment fingerprinting. Environ Earth Sci 76(1):34

    Article  Google Scholar 

  • Jacobs M (1989) The tropical rain forest. A first encounter. Q Rev Biol 64(2):58–67

    Article  Google Scholar 

  • Jiang ZS, Zheng FL, Wu M (2005) Prediction model of water erosion on hillslopes. J Sediment Res 4:1–6

    Google Scholar 

  • Kabir A, Kumar GS (2014) Spatio-temporal change of vegetation NDVI and Its relations with regional climate in Northern Shaanxi Province in 2000–2010. Sci Geogr Sin 34(7):882–888

    Google Scholar 

  • Kabiri R, Bai VR, Chan A (2015) Assessment of hydrologic impacts of climate change on the runoff trend in Klang Watershed, Malaysia. Environ Earth Sci 73(1):27–37

    Article  Google Scholar 

  • Kamaludin H, Lihan T, Rahman ZA, Mustapha MA (2013) Integration of remote sensing, RUSLE and GIS to model potential soil loss and sediment yield (SY). Hydrol Earth Syst Sci Dis 10(4):4567–4596

    Article  Google Scholar 

  • Karaburun A (2010) Estimation of C factor for soil erosion modeling using NDVI in Buyukcekmece watershed. Ozean J Appl Sci 3(1):77–85

    Google Scholar 

  • Khorsandi N (2014) Evaluation of land use to decrease soil erosion and increase income. Pol J Environ Stud 23(4):1329–1333

    Google Scholar 

  • Kosmas C, Danalatos N, Cammeraat LH, Chabart M, Diamantopoulos J (1997) The effect of land use on runoff and soil erosion rates under Mediterranean conditions. CATENA 29(1):45–59

    Article  Google Scholar 

  • Kumar A, Devi M, Deshmukh B (2014) Integrated remote sensing and geographic information system based RUSLE modelling for estimation of soil loss in Western Himalaya, India. Water Resour Manag 28(10):3307–3317

    Article  Google Scholar 

  • Li TH, Zheng LN (2012) Soil erosion changes in the Yanhe watershed from 2001 to 2010 based on RUSLE model. J Nat Resour 27(7):1164–1175 (in Chinese)

    Google Scholar 

  • Li Y, Poesen J, Yang JC, Fu B, Zhang JH (2003) Evaluating gully erosion using Cs-137 and Pb-210/Cs-137 ratio in a reservoir catchment. Soil Tillage Res 69(s1–2):107–115

    Article  Google Scholar 

  • Li Z, Zhang Y, Zhu Q, He Y, Yao W (2015) Assessment of bank gully development and vegetation coverage on the Chinese Loess Plateau. Geomorphology 228(2):462–469

    Article  Google Scholar 

  • Liu Y, Gao J (2002) Trend analysis of land degradation in the zone along the Great Wall in Northern Shaanxi. Acta Geographica Sinica 57(4):443–450 (in Chinese)

    Google Scholar 

  • Ma GX, Shi MJ, Li M (2009) Economical cost evaluation of ecological environment degradation in China. China Popul Resour Environ 19(1):162–168 (in Chinese)

    Google Scholar 

  • McCool DK, Foster GR, Renard KG, Yoder DC, Weesies GA (1995) The revised universal soil loss equation. Department of Defense/Interagency Workshop on Technologies to Address Soil Erosion on Department of Defense Lands San Antonio, TX

  • Meusburge K, Konz N, Schaub M, Alewell C (2010) Soil erosion modelled with USLE and PESERA using QuickBird derived vegetation parameters in an alpine catchment. Int J Appl Earth Obs 12:208–215

    Article  Google Scholar 

  • Millward AA, Mersey JE (1999) Adapting the RUSLE to model soil erosion potential in a mountainous tropical watershed. CATENA 38:109–129

    Article  Google Scholar 

  • Mishra A, Froebrich J, Gassman PW (2007) Evaluation of the SWAT model for assessing sediment control structures in a small watershed in India. Trans Asabe 50(2):469–477

    Article  Google Scholar 

  • Ozsoy G, Aksoy E, Dirim MS, Tumsavas Z (2012) Determination of soil erosion risk in the Mustafakemalpasa River Basin, Turkey, using the revised universal soil loss equation, geographic information system, and remote sensing. Environ Manag 50:679–694

    Article  Google Scholar 

  • 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(4):965–972

    Article  Google Scholar 

  • Qian J, Zhang LP, Wang WY, Liu Q (2014) Effects of vegetation cover and slope length on nitrogen and phosphorus loss from a sloping land under simulated rainfall. Pol J Environ Stud 23(3):835–843

    Google Scholar 

  • Qiu LJ, Zheng FL, Yin RS, Yu FY (2011) Quantification of impacts of precipitation change and human activities on stream flow in the Yanhe River basin. Adv Climate Change Res 7(5):357

    Google Scholar 

  • Renard KG, Foster G, 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). Agricultural Handbook No 703. United States Department of Agriculture, Washington

  • Shi ZH, Cai CF, Ding SW, Wang TW, Chow TL (2004) Soil conservation planning at the small watershed level using RUSLE with GIS: a case study in the Three Gorge Area of China. CATENA 55(1):33–48

    Article  Google Scholar 

  • Singer MJ, Warkentin BP (1996) Soils in an environmental context: an American perspective. CATENA 27(3–4):179–189

    Article  Google Scholar 

  • Smith SV, Bullock SH, Hinojosa-Corona A, Franco-Vizcaino E, Escoto-Rodriguez M, Kretzschmar TG, Farfan LM, Salazar Cesena JM (2007) Soil erosion and significance for carbon fluxes in a mountainous Mediterranean-climate watershed. Ecol Appl 17(5):1379–1387

    Article  Google Scholar 

  • Song FX, Xing K, Liu Y, Liu Z, Kang M (2011) Monitoring and assessment of vegetation variation in Northern Shaanxi based on MODIS/NDVI. Acta Ecol Sin 31(2):354–363

    Google Scholar 

  • Sun WY, Shao QQ, Liu JY (2013) Soil erosion and its response to the changes of precipitation and vegetation cover on the Loess Plateau. J Geog Sci 23(6):1091–1106

    Article  Google Scholar 

  • Sun W, Shao Q, Liu J, Zhai J (2014) Assessing the effects of land use and topography on soil erosion on the Loess Plateau in China. CATENA 121(7):151–163

    Article  Google Scholar 

  • Van der Knijff JM, Jones RJA, Montanarella L (2000) Soil erosion risk assessment in Europe. EUR 19044 EN. Office for Official Publications of the European Communities, Luxembourg, p 34

  • Van Romortel R, Hamilton M, Hickey R (2001) Estimating the LS factor for RUSLE through iterative slope length processing of digital elevation data within ArcInfo grid. Cartography 30(1):27–35

    Article  Google Scholar 

  • Wang BW, Yang QK, Liu ZH, Zhao XC (2007) Extraction of RUSLE-LS Factors Using DEM data and GIS techniques. Sci Soil Water Conserv 5(2):18–23

    Google Scholar 

  • Wang B, Zheng FL, Mathias JM et al (2012) Comparison of soil erodibility factors in USLE,RUSLE2, EPIC and Dg models based on a Chinese soil erodibility database. Soil Plant Science 63(1):69–79

    Google Scholar 

  • Wischmeier WH, Smith DD (1958) Rainfall energy and its relationship to soil loss. Eos Transactions Am Geophys Union 39(2):285–291

    Article  Google Scholar 

  • Wischmeier WH, Smith DD (1965) Predicting rainfall erosion losses from cropland east of the Rocky Mountains: guide for selection for practices for soil and water conservation. In: Agriculture handbook. Department of Agriculture, Science and Education Administration, Washington, p 47

  • Wischmeier WH, Smith DD (1978) Predicting rainfall erosion losses, a guide to conservation planning. USDA Handb. 537. U.S. Gov. Print. Off., Washington, DC

  • Wischmeier WH, Johnson CB, Cross BV (1971) A soil erodibility nomograph for farmland and construction sites. J Soil Water Conserv 26:189–193

    Google Scholar 

  • Wu L, Liu X, Ma XY (2016) Tracking soil erosion changes in an easily-eroded watershed of the Chinese Loess Plateau. Pol J Environ Stud 25(1):351–363

    Article  Google Scholar 

  • Xu M, Li Q, Wilson G (2016) Degradation of soil physicochemical quality by ephemeral gully erosion on sloping cropland of the hilly Loess Plateau, China. Soil Tillage Res 155:9–18

    Article  Google Scholar 

  • Xu MX, Wang Z, Zhang J, Liu G (2012) Response of soil organic carbon sequestration to the “Grain for Green Project” in the hilly Loess Plateau region. Acta Ecol Sin 32(17):5405–5415

    Article  Google Scholar 

  • Xue J, Li H, Wang J, Wang Y, Zhou MJ (2016) Experimental analysis of development regularities of Rill erosion on heavy silty loam sloping surface. J Irrig Drain 35(1):67–70

    Google Scholar 

  • Yue MH (2003) The project of the silt dams in the Loss Plateau. J China Water Resour 24(7):5–7 (in Chinese)

    Google Scholar 

  • Zha Y, Liu YS, Deng XZ (2008) A landscape approach to quantifying land cover changes in Yulin, Northwest China. Environ Monit Assess 138:139–147

    Article  Google Scholar 

  • Zhang XY, Zhou ZC (2015) Research progress on mechanism of grassland vegetation regulating soil erosion in Loess Plateau. Pratacult Sci 32(1):64–70

    Google Scholar 

  • Zhang Y, Liu B, Shi P, Jiang Z (2001) Crop cover factor estimating for soil loss prediction. Acta Ecol Sin 21:1050–1056

    Google Scholar 

  • Zhang J, Ma X, Zhao W, Qu J (2008) Study on the carrying capacity of water resources in the Loess Plateau—a case study of Shanxi, Shannxi, Ningxia, and Gansu province. Ecol Environ 17(2):823–827

    Google Scholar 

  • Zhang H, Fang N, Shi Z (2016) Spatio-temporal patterns for the NDVI and its responses to climatic factors in the Loess Plateau. China. Acta Ecologica Sinica 36(13):3960–3968

    Google Scholar 

  • Zhang C, Shao M, Jia X (2017) Spatial continuity and local conditions determine spatial pattern of dried soil layers on the Chinese Loess Plateau. J Soils Sediments 2017:1–10

    Google Scholar 

  • Zhao L, Cheng G, Sun PC (2013) Experimental study on nitrogen loss in surface soil with polyacrylamide Application. Bull Soil Water Conserv 33(5):24–28

    Google Scholar 

  • Zhao W, Xu H, Xie C (2008) Estimation of rainfall erosivity in the Yanhe watershed of the loess hilly-gully area. Trans Chin Soc Agri Eng (s1):38–42

  • Zhao AZ, Liu XF, Zhu XF, Pan YZ, Chen SC (2016) Spatiotemporal analyses and associated driving forces of vegetation coverage change in the Loess Plateau, China. Environ Sci 36(5):1568–1578 (in Chinese)

    Google Scholar 

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Acknowledgements

This study is supported by the National Natural Science Foundation of China (Nos. 51239009, 51179150), the Science Foundation of Shaanxi Province Education Department (Nos. 14JZ063, 16JZ089), and Distinctive Discipline Construction Project of Common Higher Education in Shaanxi Province (The Historical Geography: No. 0602).

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Yang, B., Wang, Q. & Xu, X. Evaluation of soil loss change after Grain for Green Project in the Loss Plateau: a case study of Yulin, China. Environ Earth Sci 77, 304 (2018). https://doi.org/10.1007/s12665-018-7394-6

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