Analysis and Measurement of Soil Nutrient Analyzer on Camellia Forest Land

Camellia oleifera grows mainly in low mountains and forests, mostly in a subtropical monsoon climate. Soil compaction and soil nutrient content are low. The structure is inconsistent. Ventilation and permeability are poor. Due to extensive management, management quality is low, and it is rainy in spring and summer. Soil and water loss will result, the soil will be thin, and the productivity of the land will be reduced. These causes Camellia oleifera to have low yield and quality, resulting in poor economic benefits. The soil nutrient research mainly includes the change of soil nutrient in the Camellia oleifera forest soil, and the soil nutrient fastness instrument measures and analyzes the soil nutrient of the Camellia oleifera forest and the young forest.

Before the spatial analysis, statistical analysis was performed on the values ​​of each index of the soil nutrient fastness tester. The statistical items included the maximum value, the minimum value, the average value, the standard deviation, the coefficient of variation, the median value, and the skewness coefficient. After the data was transformed, the semi-variance function was simulated, and the soil nutrient data was transformed, fitted, and characterized.

Because the influence of the selected nutrient index on the growth of oil tea was different, the soil nutrient fastness tester used the principal component analysis method to calculate the weight of each nutrient index according to the importance of each index. According to the principle of eigenvalue>1.0, the first two principal components were extracted as common factors, and the cumulative contribution rate was 84.04%, which satisfied the requirements of principal component analysis.

The distribution of soil nutrient fastness measuring instruments is scattered and the research scale is relatively large. Therefore, the instrumental analysis results are only used as a reference for the suitability planning of Camellia oleifera in the Guangxi region and cannot be used as the basis for county-level planting planning. In addition, because of the lack of land use data in the region, the plots that do not allow the cultivation of Camellia oleifera could not be removed in the study. Therefore, the specific area of ​​each suitable zone could not be given and will be further improved in future studies.

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