Effect of Long-term Vegetation Restoration on Surface Soil Water Infiltration and and Water Storage in Loess Area of Western Province
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S152, F301.2

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    Abstract:

    [Objective] The effects of different long-term vegetation restoration types on differences of soil surface infiltration and water storage in the loess gully region of Western Shanxi Province were studied in order to screen and enhance the ecological benefits of natural vegetation restoration as well as artificial vegetation restoration in Loess Plateau in the future, thereby providing a scientific reference for an in-depth understanding of the ecological benefits of vegetation restoration. [Methods] We measured infiltration in the top 30 cm of soil under four types of restored vegetation (Pinus tabulaeformis pure forest, Robinia pseudoacacia pure forest, Platycladus orientalis pure forest, natural forest). We also measured soil physical and chemical properties such as soil bulk density and mechanical composition, and monitored soil moisture dynamics in the four types of restored vegetation in the loess hilly-gully region. We calculated soil water storage and analyzed differences due to vegetation type, and conducted correlation analysis and principal component analysis. Three soil infiltration models were then fitted to the measured processes in order to compare their suitability for use in vegetation restoration areas of the loess hilly-gully region. Differences in soil infiltration and water storage between different vegetation restoration types were also determined. We also evaluated the ability of the models to supplement and improve the surface soil water infiltration pattern under different vegetation restoration types in the Loess Plateau region. [Results] ① Natural forest was more effective in improving the physical properties of the 0—30 cm surface soil compared with pure planted forests. Natural forest had greater water content and better water retention, and planted forests were more effective in improving the infiltration capacity of the soil in the study area compared with natural forest. ② The stable infiltration rate of soil under different vegetation types from largest to smallest followed the order of natural forest > Robinia pseudoacacia pure forest > Pinus tabulaeformis pure forest > Platycladus orientalis pure forest (for the 0—10 cm layer); Pinus tabulaeformis pure forest > Robinia pseudoacacia pure forest > Platycladus orientalis pure forest > natural forest (for the 10—20 cm layer); Pinus tabulaeformis pure forest > Robinia pseudoacacia pure forest > Platycladus orientalis pure forest > natural forest (for the 20—30 cm layer); ③ The Horton model performed better than the Kostiakov and Philip models in fitting soil infiltration in the study area (R2=0.94), and will be helpful in better understanding the soil infiltration pattern in the study area. ④ The main physical characteristics affecting soil infiltration rate were soil bulk density, soil organic carbon, soil water storage capacity and soil clay particle content. [Conclusion]There were significant differences in soil infiltration properties due to different long-term vegetation restoration types. Compared with long-term replanted forests, the long-term natural forest had greater vegetation restoration benefits, and could effectively improve soil quality and enhance soil water retention capacity for the Loess Plateau.

    Reference
    [1] 张金屯.黄土高原植被恢复与建设的理论和技术问题[J].水土保持学报,2004,18(5):120-124.
    [2] 杨文治.黄土高原土壤水资源与植树造林[J].自然资源学报,2011,16(5):433-438.
    [3] 王莉,张强,牛西午,等.黄土高原丘陵区不同土地利用方式对土壤理化性质的影响[J].中国生态农业学报,2007,60(4):53-56.
    [4] 聂发辉,李田,姚海峰.上海市城市绿地土壤特性及对雨洪削减效应的影响[J].环境污染与防治,2008,30(2):49-52.
    [5] 王承书,高峰,孙文义,等.黄土丘陵沟壑区坡沟系统不同降雨类型的土壤入渗特征[J].生态学报,2021,41(8):3111-3122.
    [6] 焦峰,温仲明,李锐.黄土高原退耕还林(草)环境效应分析[J].水土保持研究,2005, 12(1):26-29.
    [7] 王红梅,谢应忠,陈来祥.黄土高原坡地土壤水分动态特征及影响因素[J].宁夏农学院学报,2004,25(4):62-66.
    [8] 王志强,刘宝元,王旭艳,等.黄土丘陵半干旱区人工林迹地土壤水分恢复研究[J].农业工程学报,2007,122(11):77-83.
    [9] 彭舜磊,梁亚红,陈昌东,等.伏牛山东麓不同植被恢复类型土壤入渗性能及产流预测[J].水土保持研究,2013,20(4):29-33.
    [10] Wilk S A, Elói P, Paulo T S, et al. Effect of soil tillage and vegetal cover on soil water infiltration [J]. Soil & Tillage Research, 2018,175(2):84-89.
    [11] María I Y, Israel C S, Humberto G R, et al. Effects of land use change and seasonal variation in the hydrophysical properties in Vertisols in Northeastern Mexico [J]. Soil Use and Management, 2019,35(3):143-145.
    [12] 李建兴,何丙辉,梅雪梅,等.紫色土区坡耕地不同种植模式对土壤渗透性的影响[J].应用生态学报,2013,24(3):725-731.
    [13] 傅渝亮,费良军,聂卫波,等.基于Green-Ampt和Philip模型的波涌灌间歇入渗模型研究[J].农业机械学报,2016,47(9):194-201.
    [14] Abdulkadir A, Wuddivira M N, Abdu N, et al. Use of Horton infiltration model in estimating infiltration characteristics of an Alfisol in the Northern Guinea Savanna of Nigeria [J]. Journal of Agricultural Science and Technology A, 2011,1(10):47-64.
    [15] 陈文媛,张少妮,华瑞,等.黄土丘陵区林草恢复进程中土壤入渗特征研究[J].北京林业大学学报,2017,39(1):62-69.
    [16] 宋爱云,董林水,刘世荣,等.不同亚高山草甸群落类型的土壤入渗特征及影响因素[J].水土保持研究,2018,25(3):41-45.
    [17] 吴克宁,赵瑞.土壤质地分类及其在我国应用探讨[J].土壤学报,2019,56(1):227-241.
    [18] 谭学进,穆兴民,高鹏,等.黄土区植被恢复对土壤物理性质的影响[J].中国环境科学,2019,39(2):713-722.
    [19] 党宏忠,周泽福,赵雨森,等.祁连山水源涵养林土壤水文特征研究[J].林业科学研究,2006,19(1):39-44.
    [20] 何艺玲,傅懋毅.人工林林下植被的研究现状[J].林业科学研究,2002,15(6):727-733.
    [21] 焦若禺,宋孝玉,赵新凯,等.黄土沟壑区黑麦草植被冠层与根系坡面水沙效益及水力特性[J].干旱区地理,2022,45(1):208-218.
    [22] 赵文智,刘鸽.干旱、半干旱环境降水脉动对生态系统的影响[J].应用生态学报,2011,22(1):243-249.
    [23] 李民义,张建军,王春香,等.晋西黄土区不同土地利用方式对土壤物理性质的影响[J].水土保持学报,2013,27(3):125-131.
    [24] Bates J D, Svejcar T S, Miller R F. Litter decomposition in cut and uncut western juniper woodlands [J]. Journal of Arid Environments, 2007,70(2):222-236.
    [25] 席彩云,余新晓,徐娟,等北京密云山区典型林地土壤入渗特征[J].北京林业大学学报,2009,31(5):42-47.
    [26] 金建新,桂林国,尹志荣,等.宁夏典型土壤持水性能及收缩特性[J].水土保持研究,2017,24(4):279-283.
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刘茜茹,冯天骄,王平,张羽飞,熊瑛楠,高琦,白杨.晋西黄土区长期植被恢复对土壤表层入渗与水分储量差异的影响[J].水土保持通报英文版,2023,43(2):50-59

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History
  • Received:July 27,2022
  • Revised:September 15,2022
  • Online: June 01,2023