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Modeling Effects of Land use and Vegetation Density on Soil Water Dynamics: Implications on Water Resource Management

Author

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  • Dongli She
  • Dongdong Liu
  • Yongqiu Xia
  • Ming’an Shao

Abstract

Vegetation restoration is helpful in preventing soil erosion but aggravates water scarcity, thus resulting in soil desiccation on the wind–water erosion crisscross region (WWECR) of the Loess Plateau in Northwestern China. However, no guideline currently exists on the selection of plant species and density for restoration purposes. Based on the process model of soil water-carrying capacity for vegetation (SWCCV) originally developed in this region, this study validated the model under a broad range of weather regimes, soil types, and land uses. The SWCCV model was applied as a diagnostic tool to obtain insights into the separate effects of vegetation density and land use on soil water dynamics on the WWECR of the Loess Plateau. Results showed that the total water loss at semi-natural grasslands was close to rainfall while significantly decreasing runoffs, thus indicating that semi-natural grass was suitable for vegetation restoration on the WWECR. If Caragana korshinskii is planted for agronomic and economic benefits, a density of 3,400 trees ha −1 will yield the most optimal soil water conservation benefits at study site. Our recommended land use and vegetation density were directive and instructional for vegetation restoration on the WWECR and that our modeling approach could be extended to applications in other arid and semi-arid regions. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Dongli She & Dongdong Liu & Yongqiu Xia & Ming’an Shao, 2014. "Modeling Effects of Land use and Vegetation Density on Soil Water Dynamics: Implications on Water Resource Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(7), pages 2063-2076, May.
  • Handle: RePEc:spr:waterr:v:28:y:2014:i:7:p:2063-2076
    DOI: 10.1007/s11269-014-0599-x
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    References listed on IDEAS

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    1. Xia, Y.Q. & Shao, M.A., 2008. "Soil water carrying capacity for vegetation: A hydrologic and biogeochemical process model solution," Ecological Modelling, Elsevier, vol. 214(2), pages 112-124.
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    1. Liu, Bingxia & Shao, Ming’an, 2015. "Modeling soil–water dynamics and soil–water carrying capacity for vegetation on the Loess Plateau, China," Agricultural Water Management, Elsevier, vol. 159(C), pages 176-184.
    2. Wei Liang & Dan Bai & Zhao Jin & Yuchi You & Jiaxing Li & Yuting Yang, 2015. "A Study on the Streamflow Change and its Relationship with Climate Change and Ecological Restoration Measures in a Sediment Concentrated Region in the Loess Plateau, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(11), pages 4045-4060, September.
    3. Sha Li & Wei Liang & Weibin Zhang & Qinghua Liu, 2016. "Response of Soil Moisture to Hydro-meteorological Variables Under Different Precipitation Gradients in the Yellow River Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(6), pages 1867-1884, April.
    4. Qiang Fu & Long-Bin Lu & Jin-Bai Huang, 2014. "Numerical Analysis of Surface Runoff for the Liudaogou Drainage Basin in the North Loess Plateau, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(13), pages 4809-4822, October.
    5. Lu Zhuo & Dawei Han & Qiang Dai & Tanvir Islam & Prashant Srivastava, 2015. "Appraisal of NLDAS-2 Multi-Model Simulated Soil Moistures for Hydrological Modelling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(10), pages 3503-3517, August.
    6. Huang, Yongmei & Yu, Xiaona & Li, Engui & Chen, Huiying & Li, Liu & Wu, Xiuchen & Li, Xiaoyan, 2017. "A process-based water balance model for semi-arid ecosystems: A case study of psammophytic ecosystems in Mu Us Sandland, Inner Mongolia, China," Ecological Modelling, Elsevier, vol. 353(C), pages 77-85.
    7. Zhou Beibei & Wang Quanjiu & Tan Shuai, 2014. "Estimation of Infiltration Parameters and the Irrigation Coefficients with the Surface Irrigation Advance Distance," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-8, July.

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