The traditional statistical analysis of the soil nutrient in the test sample area by the soil nutrient fastness meter can only reflect the overall status of soil nutrient content to a certain extent, and cannot accurately and quantitatively describe the distribution of soil nutrient content and random and structural changes. Therefore, statistical methods must be used to analyze the spatial variability of soil nutrients. According to the statistical characteristic values ​​of the soil nutrient fastness tester, the analysis of the variation function of organic matter, total phosphorus, total potassium, and effective potassium content with the Gaussian model is good.

The variation function of available phosphorus content fits the best exponential model; and the total nitrogen and alkali dissolved nitrogen fit a linear model. The nugget values ​​of the seven nutrient variables were all greater than 0. Through the soil nutrient fastness tester, there were various positive base effects such as sampling, testing and sampling errors due to random and intrinsic variability in the soil nutrient variables. The size is determined by the size of the nugget value.

From the perspective of spatial interpolation, the spatial distribution of the seven nutrient contents and the spatial distribution of pH value in the test plots of the soil nutrient tester are poorly correlated, and the pH distribution at each location of the plot also has obvious plaque. Sex and spatial variability are relatively strong. This is mainly related to factors such as cultivation and fertilization of the soil nutrient tester. The spatial heterogeneity of available phosphorus is moderate and affected by both structural and random factors. This may be related to the natural factors such as slope, slope shape, aspect, and rock properties of the test plots, as well as the cultivation and fertilization, crop planting types, etc. .

Total phosphorus and available phosphorus, total potassium and available potassium have good spatial correlation at different slope positions. From the analysis of soil nutrient fastness instrument, it can be seen that there are different characteristics in different slope positions and spatial distributions of different nutrients, random factors in different slope directions, vegetation types, rocks, and structures are complementary to the spatial distribution of soil nutrients, among which total nitrogen and total potassium And the potassium content available at the bottom of the slope is higher, and the content gradually decreases from the middle slope position to the top.

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