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Improving Soil and Water Conservation of Riparian Vegetation Based on Landscape Leakiness and Optimal Vegetation Pattern

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  • Shanshan Xu

    (College of Environment and Planning, Henan University, Kaifeng 475004, China
    Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, Kaifeng 475004, China)

  • Qinghe Zhao

    (College of Environment and Planning, Henan University, Kaifeng 475004, China
    Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, Kaifeng 475004, China)

  • Shengyan Ding

    (College of Environment and Planning, Henan University, Kaifeng 475004, China
    Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, Kaifeng 475004, China)

  • Mingzhou Qin

    (College of Environment and Planning, Henan University, Kaifeng 475004, China
    Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, Kaifeng 475004, China)

  • Lixin Ning

    (Center for Geodata and Analysis, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Xiaoyu Ji

    (College of Environment and Planning, Henan University, Kaifeng 475004, China
    Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, Kaifeng 475004, China)

Abstract

Soil erosion inflicts multiple and severe damage throughout the world. The importance of vegetation spatial patterns in conserving soil and water has been widely acknowledged. In this study, by using the leakiness index (LI), which indicates the soil and water conservation function of the landscape by integrating landscape patterns closely with hydrological processes, we analyzed the changes in this function of riparian vegetation under different patterns with the aim of identifying the optimal pattern for improving soil and water conservation in severely eroded riparian buffer zones. Prior to this, the relationship between the erosion modulus and LI was discussed to provide certain evidence for the potential application of LI to the study area given the limited empirical works. Results showed that LI illustrated a significantly linear correlation with the erosion modulus ( R 2 = 0.636, p < 0.01), thereby suggesting a promising application of LI in the Beijiang riparian vegetation buffer zone. A comparison of the LI values regarding four different vegetation patterns indicated that under the premise of the same coverage (40%), the aggregation degree and patch orientation with low LI values exerted improved performance for soil and water conservation, so we selected the horizontal distribution and compact aggregation as the optimal pattern for vegetation regulation. The spatial variations of LI values in the study area showed that five regions were suffering from severe erosion, thus becoming the targeted area for regulation. The final regulation with the optimal vegetation pattern in severely eroded areas performed well given that the soil and water conservation was improved to a high level with a LI value less than or equal to 0.2. The results described in this study provide an alternative screening method to figure out the severe erosion areas needing improvement, a further understanding of the effect of vegetation pattern on soil and water conservation and a theoretical basis for the extended application of LI.

Suggested Citation

  • Shanshan Xu & Qinghe Zhao & Shengyan Ding & Mingzhou Qin & Lixin Ning & Xiaoyu Ji, 2018. "Improving Soil and Water Conservation of Riparian Vegetation Based on Landscape Leakiness and Optimal Vegetation Pattern," Sustainability, MDPI, vol. 10(5), pages 1-16, May.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:5:p:1571-:d:146343
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    References listed on IDEAS

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    1. David Pimentel, 2006. "Soil Erosion: A Food and Environmental Threat," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 8(1), pages 119-137, February.
    2. Shifa Chen & Xuan Zha, 2016. "Evaluation of soil erosion vulnerability in the Zhuxi watershed, Fujian Province, China," 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. 82(3), pages 1589-1607, July.
    3. Haiming Yan & Jinyan Zhan & Bing Liu & Yongwei Yuan, 2014. "Model Estimation of Water Use Efficiency for Soil Conservation in the Lower Heihe River Basin, Northwest China during 2000–2008," Sustainability, MDPI, vol. 6(9), pages 1-17, September.
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    Cited by:

    1. Elaine F. Celestino & Leandro F. Celestino & Jhony F. M. da Silva & Elaine A. L. Kashiwaqui & Maristela C. Makrakis & Sergio Makrakis, 2019. "Environmental Assessment in Neotropical Watersheds: A Multi-Factorial Approach," Sustainability, MDPI, vol. 11(2), pages 1-17, January.

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