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| Grey relation analysis of soil moisture in different land use in the Loess Plateau of western Shanxi province |
| GUO Lijun, WANG Baitian, WANG Xuhu |
| Key Laboratory of Soil and Water Conservation & Desertification Combating of Ministry of Education, School of Soil and Water Conservation, Beijing Forestry University, 100083, Beijing, China |
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Abstract [Background] In the loess area, soil moisture (abbreviated as SM below) is a main limiting factor in the process of vegetation restoration and reconstruction. Less grey correlation degree research was conducted on SM change under different land use slopes. This paper studied the dynamic of monthly and vertical profiles and the consumption of SM under different land use slopes in the Loess Plateau of western Shanxi province, and analyzed the relationship of SM in different soil layers, different land uses and different months.[Methods] Three different land use slopes from barren grass field, Pinus tabulaeformis forest and Robinia pseudoacacia forest were selected as research objects, TDR soil moisture meter was used to measure SM to a depth of 0-200 cm at 20 cm intervals at each monitoring point of the land use slopes. SM was measured from April to October in 2018, at least once a month.[Results] 1) Under the condition of the same seasonal precipitation in the year, the grey correlation degrees of SM in the deep layer (120-160 cm) and bottom layer (160-200 cm) of barren grass field and P. tabulaeformis forest was the highest (0.779 4 and 0.749 1), and that of SM in the middle layer (80-120 cm) and deep layer (120-160 cm) of R. pseudoacacia forest was the highest (0.731 3). In addition, under different land use slopes, the grey relational degree of SM in top layer and deep layer, shallow layer and deep layer was lower. 2) The dynamic change trend of SM in barren grass field from April to June was different from July and August, and grey correlation degree of SM between April and July was the least (0.352 0). However, the variation trend of SM from April to June and September to October was highly similar, grey correlation degree of SM between April and October was the largest (0.996 3). The grey correlation degree of SM was small in each month from July to October in P. tabulaeformis. In April to October, the grey correlation degree of SM of R. pseudoacacia forest was close and the change of SM was stable.[Conclusions] The vertical and temporal dynamic change of SM are different under different land use slopes, the monthly dynamic changes of SM are significantly affected by barren grassland, the influence of P. tabulaeformis forest and R. pseudoacacia forest on deep soil moisture in vertical section is significant, and the method of grey relational analysis can be used to identify the dynamic changes of SM.
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Received: 26 April 2019
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