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Chinese Journal of Applied Ecology ›› 2020, Vol. 31 ›› Issue (4): 1323-1332.doi: 10.13287/j.1001-9332.202004.032

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Soil amelioration of different vegetation types in saline-alkali land of the Yellow River Delta, China

SUN Jia1,2, XIA Jiang-bao2*, SU Li1,2, ZHAO Xi-mei2, CHEN Yin-ping2, YUE Xi-yuan2, LI Chuan-rong1   

  1. 1College of Forestry, Shandong Agricultural University, Taishan Forest Ecosystem Research Station/Key Laboratory of National Forestry and Grassland Administration for Silviculture of the Lower Yellow River, Tai’an 271018, Shandong, China;
    2Binzhou University/Shandong Key Laboratory of Eco-Environmental Science for Yellow River Delta, Binzhou 256603, Shandong, China.
  • Received:2019-09-18 Online:2020-04-20 Published:2020-04-20
  • Contact: *E-mail: xiajb@163.com
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (31770761, 31370702), the Key Science and Technology Project in Shandong Province (2017CXGC0316), the Forestry Science and Technology Innovation Project of Shandong Province (2019LY006), and Taishan Scholar Program of Shandong Province, China.

Abstract: Yellow River Delta is an important distribution area of coastal saline-alkali land in China. Revegetation is the main technology for ecological restoration during saline-alkali land amelioration. To explore the effects of different vegetation types on soil improvement in saline-alkali land and get the suitable model in the Yellow River Delta, four tree-grass compound models, Salix americana+Distichlis spicata, S. matsudana+D. spicata, Tamarix chinensis+Medicago sativa, and Fraxinus chinensis+T. chinensis+M. sativa, were set up, with pure S. americana forest as the control. Twenty indicators, including soil moisture physical parameters, saline-alkali content, soil nutrient contents, and microorganism quantity etc. were measured. Principal component analysis, cluster analysis and fuzzy mathematics were used to evaluate soil modification effect of different vegetation combinations. The results showed that all compound models significantly improved soil physical and che-mical properties in coastal saline-alkali land by increasing soil porosity, soil water storage, soil organic matter content, available nutrient content and soil microorganism quantity and reducing soil density. Among all the models, the tree-shrub-grass mixed model of F. chinensis+T. chinensis+M. sativa was the most effective in inhibiting salt and alkali stress and increasing soil nutrients and microorganism abundance, whereas the tree-grass mixed model of S. matsudana+D. spicata was the most effective in improving soil water physical properties. The combined effects of different vegetation patterns on soil amelioration in coastal saline-alkali land of the Yellow River Delta were arranged in order of F. chinensis+T. chinensis+M. sativa> S. matsudana+D. spicata> S. americana+D. spicata> T. chinensis+M. sativa.