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[1]ZHANG Yuheng,WANG Zhongcheng,WANG Yanan,et al.Soil Quality Evaluation with Different Treatment Models in Yimeng Mountainous Area Based on Minimum Data Set[J].Research of Soil and Water Conservation,2023,30(01):241-247.[doi:10.13869/j.cnki.rswc.2023.01.017]

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Soil Quality Evaluation with Different Treatment Models in Yimeng Mountainous Area Based on Minimum Data Set

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 30 Number of periods: 2023 01 Page number: 241-247 Column: Public date: 2023-01-10

Title:: Soil Quality Evaluation with Different Treatment Models in Yimeng Mountainous Area Based on Minimum Data Set

Author(s):: ZHANG Yuheng¹, WANG Zhongcheng², WANG Yanan¹, WANG Xingling¹, HAN Jiaxin¹, AN Juan¹; (1.Shandong Provincial Key Laboratory of Water and Soil Conservation and Environmental Protection, College of Resources and Environment, Linyi University, Linyi, Shandong 276005, China; 2.Tianbao Mountain Tree Farm in Pingyi, Linyi, Shandong 273306, China)

Keywords:: minimum data set; treatment models; soil quality index; principal component analysis; Yimeng mountainous area

CLC:: S158.2

DOI:: 10.13869/j.cnki.rswc.2023.01.017

Abstract:: Yimeng mountainous area is regarded as the key area for soil erosion control in the earth-rocky mountain areas of northern China. It is greatly necessary to make quantitative evaluation for soil quality with different treatment models and then to determine optimum treatment for ecological remediation, which is helpful to promote ecological environment construction in Yimeng mountainous area. This study took four treatment models as the research object: arbor-grass mixture, ridge terrace + orchard planting, fallow land, and banned + grass planting. In order to construct minimum data set for soil quality evaluation, nine soil attribute indices of soil nutrient, pore, water content, and soil bulk density were selected with the combined methods of principal component analysis, correlation analysis, and the calculation of Norm value. The results showed that soil physical and chemical characteristic pronouncedly varied with the change of treatment models; nitrate nitrogen was extremely sensitive indicator, and total nitrogen was highly sensitive indicator, while soil organic matter, total phosphorus, inorganic phosphorus, field capacity, saturated water capacity were moderately sensitive indicators, and bulk density were lowly sensitive indicator; three indicators including total nitrogen, soil porosity, and soil bulk density were identified as the key indicators for soil quality evaluation in the minimum data set; the verification of total data set suggested that the minimum data set could reflect the effective information and accuracy evaluation for soil quality in Yimeng mountainous area; soil quality index ranged from 0.41 to 0.53, which indicated that soil quality with different treatment models in Yimeng mountainous area was on the middle level; meanwhile, soil quality index in the 0—5 cm and 5—10 cm soil layer increased by 136.20% and 37.60% relative to that in the 10—20 cm soil layer, respectively; soil quality with different treatment models ranked in order: arbor-grass mixture>ridge terrace + orchard planting>fallow land>banned + grass planting. Therefore, the model of arbor-grass mixture was the optimal ecological remediation measure in Yimeng mountainous area with serious soil erosion and impoverished soil.

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Last Update: 2023-01-10