刘湘君,乔冠宇,郭丰浩,等. 基于最小数据集的黄淮海旱作区耕层土壤质量评价及障碍分析[J]. 农业工程学报,2023,39(12):104-113. DOI: 10.11975/j.issn.1002-6819.202302138
    引用本文: 刘湘君,乔冠宇,郭丰浩,等. 基于最小数据集的黄淮海旱作区耕层土壤质量评价及障碍分析[J]. 农业工程学报,2023,39(12):104-113. DOI: 10.11975/j.issn.1002-6819.202302138
    LIU Xiangjun, QIAO Guanyu, GUO Fenghao, et al. Evaluation and obstacle analysis of cultivated horizon soil quality based on MDS in the dry farming areas of Huang-Huai-Hai Region[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2023, 39(12): 104-113. DOI: 10.11975/j.issn.1002-6819.202302138
    Citation: LIU Xiangjun, QIAO Guanyu, GUO Fenghao, et al. Evaluation and obstacle analysis of cultivated horizon soil quality based on MDS in the dry farming areas of Huang-Huai-Hai Region[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2023, 39(12): 104-113. DOI: 10.11975/j.issn.1002-6819.202302138

    基于最小数据集的黄淮海旱作区耕层土壤质量评价及障碍分析

    Evaluation and obstacle analysis of cultivated horizon soil quality based on MDS in the dry farming areas of Huang-Huai-Hai Region

    • 摘要: 为探究黄淮海旱作区耕层土壤质量特征,基于土壤物理、化学及剖面特征,建立黄淮海旱作区耕层土壤质量评价指标体系,运用主成分分析法构建耕层质量评价指标的最小数据集(minimum data set,MDS),结合障碍因子诊断模型揭示黄淮海旱作区耕层土壤质量特征及其障碍因素。结果表明:1)研究区耕层土壤质量评价最小数据集由土壤有机质、土壤阳离子交换量、土壤pH、耕作层厚度、耕作层穿透阻力和耕作层压实度构成,基于最小数据集和全指标数据集的耕层土壤质量指数间显著正相关(R2=0.61,P<0.05),Nash有效系数和相对偏差系数分别为0.601和0.181,表明最小数据集的指标能够代替全部数据集指标对黄淮海旱作区耕层质量进行评价;2)研究区耕层土壤质量总体处于中等水平,质量指数为0.25~0.61;适宜耕层各项指标如下:耕作层厚度不小于17.20 cm,耕作层穿透阻力不大于896.10 kPa,耕作层土壤压实度不大于78.01%,pH值为8.01~9.37,有机质不小于17.87 g/kg,阳离子交换量不小于21.13 cmol/kg;3)黄淮海旱作区存在明显的障碍类型,耕层障碍可分为薄化紧实与养分贫瘠障碍耕层、养分贫瘠耕层、土壤紧实型耕层3类。其中有机质含量低、阳离子交换量低、耕作层压实度过高是黄淮海旱作区耕层质量主要障碍。研究为黄淮海旱作区耕层土壤质量提升和改善提供理论支撑。

       

      Abstract: Cultivated horizon soil quality is one of the most comprehensive indexes to represent soil fertility and production capacity. In this study, a systematic evaluation and obstacle analysis was performed on the cultivated horizon soli quality using a minimum data set (MDS). The study area was located in the dry farming region of Huang-Huai-Hai in the middle of eastern China, which was one of the most important grain-producing areas in China. The samples were collected from May to June 2017. A total of 270 sampling points were set as the stratified sampling of 0-40 cm with 10 cm as each sampling layer. The soil type was considered to determine the quality level of arable land, the cropping system, and the degree of concentrated contiguity. A series of experiments were then carried out to measure each index. A total of17 evaluation indicators were selected to investigate the characteristics of cultivated horizon soil using the soil's physical and chemical properties, as well as the tillage profiles. The soil management framework was used to construct the total data set (TDS). The affiliation function between the indicators and cultivated horizon soil quality was established using the positive and negative effects of each evaluation indicator on cultivated horizon soil quality. The evaluation system of cultivated horizon soil quality was established using principal component analysis (PCA). The multiple indicators were transformed into a small number of indicators using PCA, in order to reduce the dimensionality for the representative independent evaluation indicators in the MDS. The weights of each evaluation indicator were further determined to extract the common factor variance of evaluation indicators. Then the evaluation index systems of TDS and MDS were used to calculate the cultivated horizon soil quality index respectively. Specifically, the cultivated horizon soil quality index served as a comprehensive quantitative description of the condition of cultivated land. The productivity of soil was evaluated to provide a strong reference for the reasonable cultivated layer construction. The scatter plot of the cultivated horizon soil quality index was fitted in the total and the minimum data set, indicating a significantly positive correlation (R2=0.61, P less than 0.05). By contrast, the Nash effective coefficient and relative deviation coefficient of the cultivated horizon soil quality index were also calculated to be 0.601 and 0.181, respectively. The comprehensive analysis showed that the cultivated horizon soil quality index of the total data set was closer to that of the minimum data set with a smaller relative deviation and higher accuracy. Consequently, the MDS can be expected to better replace the TDS as the cultivated horizon soil quality index. Six indicators were selected for the MDS evaluation index system by principal component analysis (PCA), including the soil organic matter, soil cation exchange capacity, soil pH, plough layer thickness, penetration resistance of plough layer, and the compactness degree of plough layer. The cultivated horizon soil quality index ranged from 0.25 to 0.61 with an average value of 0.43, which was generally at a medium level. There was a significant positive correlation between grain yields and the quality index. The reasonable threshold of the cultivated-layer quality index was achieved as follows: the plough layer thickness not less than 17.20 cm, the penetration resistance of the plough layer not greater than 896.10 kPa, the degree of compactness of plough layer not less than 78.01%, the soil organic matter content not less than 17.87 g/kg, the soil pH of 8.01-9.37, and cation exchange capacity not less than 21.13 cmol/kg. The types of barriers were divided into soil structure and nutrient barriers (category 1), nutrient barriers (category 2), and soil structure barriers (category 3). Specifically, the main obstacles were determined as the low content of soil organic matter, the low cation exchange capacity, and the higher compaction of plough layer. Therefore, the tillage and fertilization measures should be taken for the above obstacles. The finding can provide theoretical support to improve the cultivated horizon soil quality in the dry farming region of Huang-Huai-Hai in eastern China.

       

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