IDEAS home Printed from https://ideas.repec.org/a/caa/jnlswr/v17y2022i2id106-2021-swr.html
   My bibliography  Save this article

The coupling of hillslope- and gully-erosion increases their controlling efforts: A case study in Liaoning Province, China

Author

Listed:
  • Xiangguo Fan

    (College of Water Conservancy, Shenyang Agricultural University, Shenyang, Liaoning, P.R. China
    Tongren University, Tongren, Guizhou, P.R. China)

  • Haoming Fan

    (College of Water Conservancy, Shenyang Agricultural University, Shenyang, Liaoning, P.R. China
    Key Laboratory of Prevention and Control of Soil Erosion and Ecological Restoration in Liaoning Province, Shenyang, Liaoning, P.R. China)

  • Shuang Dong

    (Tongren Polytechnic College, Tongren, Guizhou, P.R. China)

Abstract

The widespread hillslope- and gully-erosion in Liaoning Province of Northeast China, pose serious challenges to the local agricultural production. Hillslope- and gully-erosion have typically been studied separately; however, there has been little investigation on the relationship of these two types of erosion. In this study, the coupling relationship of the hillslope- and gully-erosion from the perspectives of erosion intensity and land use, as well as the slope gradient, aspect, and shape, was analysed. The study employed remote sensing and geographic information system techniques, and the universal soil loss equation and kriging were used to perform a macroscopic analysis. The results showed that gully-erosion was more severe compared with hillslope-erosion in the study area. The cultivated land has the highest level of human activities, therefore, the most intense hillslope- and gully-erosion. The threshold slope gradients for the hillslope- and gully-erosion are 14° and 6°, respectively. Above the threshold of 6°, the slope gradient is no longer the primary factor affecting the gully-erosion. Sunny slopes have observably more hillslope-erosion than shady slopes, and the highest hillslope-erosion is observed on the south-southeast-facing slopes. The effect of the slope aspect on the gully-erosion should not be ignored, as evidenced by the considerable gully density of the east-northeast-facing slopes which is obviously higher than for slopes with other slope aspects. The highest hillslope-erosion amount and gully density occur on concave slopes, followed by convex and straight slopes, and straight slopes have little effect on the hillslope-erosion, but have a marked impact on the gully-erosion. The results of this work may serve as a scientific reference for the comprehensive control of soil erosion across a slope-gully system in Northeast China.

Suggested Citation

  • Xiangguo Fan & Haoming Fan & Shuang Dong, 2022. "The coupling of hillslope- and gully-erosion increases their controlling efforts: A case study in Liaoning Province, China," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 17(2), pages 123-137.
    • Handle: RePEc:caa:jnlswr:v:17:y:2022:i:2:id:106-2021-swr
    DOI: 10.17221/106/2021-SWR
    as

    Download full text from publisher

    File URL: http://swr.agriculturejournals.cz/doi/10.17221/106/2021-SWR.html
    Download Restriction: free of charge
    File URL: http://swr.agriculturejournals.cz/doi/10.17221/106/2021-SWR.pdf
    Download Restriction: free of charge
    File URL: https://libkey.io/10.17221/106/2021-SWR?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sverre Grepperud, 1995. "Soil conservation and governmental policies in tropical areas: Does aid worsen the incentives for arresting erosion?," Agricultural Economics, International Association of Agricultural Economists, vol. 12(2), pages 129-140, April.
    2. P. Dabral & Neelakshi Baithuri & Ashish Pandey, 2008. "Soil Erosion Assessment in a Hilly Catchment of North Eastern India 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. 22(12), pages 1783-1798, December.
    Full references (including those not matched with items on IDEAS)

    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. Bin Huang & Zaijian Yuan & Mingguo Zheng & Yishan Liao & Kim Loi Nguyen & Thi Hong Nguyen & Samran Sombatpanit & Dingqiang Li, 2022. "Soil and Water Conservation Techniques in Tropical and Subtropical Asia: A Review," Sustainability, MDPI, vol. 14(9), pages 1-19, April.
    2. V. Prasannakumar & H. Vijith & N. Geetha & R. Shiny, 2011. "Regional Scale Erosion Assessment of a Sub-tropical Highland Segment in the Western Ghats of Kerala, South India," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(14), pages 3715-3727, November.
    3. Sanjeet Kumar & Ashok Mishra, 2015. "Critical Erosion Area Identification Based on Hydrological Response Unit Level for Effective Sedimentation Control in a River Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(6), pages 1749-1765, April.
    4. Medhin, Haileselassie A. & Köhlin, Gunnar, 2008. "Soil Conservation and Small-Scale Food Production in Highland Ethiopia: A Stochastic Metafrontier Approach," RFF Working Paper Series dp-08-22-efd, Resources for the Future.
    5. Demetris Zarris & Marianna Vlastara & Dionysia Panagoulia, 2011. "Sediment Delivery Assessment for a Transboundary Mediterranean Catchment: The Example of Nestos River Catchment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(14), pages 3785-3803, November.
    6. Wen-Chieh Chou, 2010. "Modelling Watershed Scale Soil Loss Prediction and Sediment Yield Estimation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(10), pages 2075-2090, August.
    7. Ch. Jyotiprava Dash & N. K. Das & Partha Pratim Adhikary, 2019. "Rainfall erosivity and erosivity density in Eastern Ghats Highland of east India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 97(2), pages 727-746, June.
    8. Susanta Das & Proloy Deb & Pradip Kumar Bora & Prafull Katre, 2020. "Comparison of RUSLE and MMF Soil Loss Models and Evaluation of Catchment Scale Best Management Practices for a Mountainous Watershed in India," Sustainability, MDPI, vol. 13(1), pages 1-22, December.
    9. Vesna Đukić & Zoran Radić, 2014. "GIS Based Estimation of Sediment Discharge and Areas of Soil Erosion and Deposition for the Torrential Lukovska River Catchment in Serbia," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(13), pages 4567-4581, October.
    10. R. Bhalla & Neil Pelkey & K. Devi Prasad, 2011. "Application of GIS for Evaluation and Design of Watershed Guidelines," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(1), pages 113-140, January.
    11. Ye Xiao & Zhigang Huang & Yulin Ling & Shenwen Cai & Boping Zeng & Sheng Liang & Xiao Wang, 2022. "Effects of Forest Vegetation Restoration on Soil Organic Carbon and Its Labile Fractions in the Danxia Landform of China," Sustainability, MDPI, vol. 14(19), pages 1-16, September.
    12. Yoshito Takasaki, 2011. "Economic models of shifting cultivation: a review," Tsukuba Economics Working Papers 2011-006, Faculty of Humanities and Social Sciences, University of Tsukuba.
    13. Kamel Khanchoul & Mahmoud Tourki, 2020. "Assessment and Mapping of Soil Sensitivity to Erosion Using GIS in Mellegue Catchment, Northeast of Algeria," Earth Sciences Malaysia (ESMY), Zibeline International Publishing, vol. 4(1), pages 8-14, February.
    14. Yoshito Takasaki & Oliver T. Coomes & Christian Abizaid & Stéphanie Brisson, 2014. "An Efficient Nonmarket Institution under Imperfect Markets: Labor Sharing for Tropical Forest Clearing," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(3), pages 711-732.
    15. Salman A. H. Selmy & Salah H. Abd Al-Aziz & Raimundo Jiménez-Ballesta & Francisco Jesús García-Navarro & Mohamed E. Fadl, 2021. "Modeling and Assessing Potential Soil Erosion Hazards Using USLE and Wind Erosion Models in Integration with GIS Techniques: Dakhla Oasis, Egypt," Agriculture, MDPI, vol. 11(11), pages 1-29, November.
    16. Amsalu, Aklilu & de Graaff, Jan, 2007. "Determinants of adoption and continued use of stone terraces for soil and water conservation in an Ethiopian highland watershed," Ecological Economics, Elsevier, vol. 61(2-3), pages 294-302, March.
    17. P. Dabral & Neelakshi Baithuri & Ashish Pandey, 2008. "Soil Erosion Assessment in a Hilly Catchment of North Eastern India 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. 22(12), pages 1783-1798, December.
    18. Dawit Samuel Teshome & Mitiku Badasa Moisa & Dessalegn Obsi Gemeda & Songcai You, 2022. "Effect of Land Use-Land Cover Change on Soil Erosion and Sediment Yield in Muger Sub-Basin, Upper Blue Nile Basin, Ethiopia," Land, MDPI, vol. 11(12), pages 1-20, November.
    19. Sagarika Patowary & Arup Kumar Sarma, 2018. "GIS-Based Estimation of Soil Loss from Hilly Urban Area Incorporating Hill Cut Factor into RUSLE," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(10), pages 3535-3547, August.
    20. Zhijie Wang & Yuan Su, 2020. "Assessment of Soil Erosion in the Qinba Mountains of the Southern Shaanxi Province in China Using the RUSLE Model," Sustainability, MDPI, vol. 12(5), pages 1-17, February.

    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:caa:jnlswr:v:17:y:2022:i:2:id:106-2021-swr. 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: Ivo Andrle (email available below). General contact details of provider: https://www.cazv.cz/en/home/ .

    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.