2022
DOI: 10.7717/peerj.13311
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Spatial heterogeneity of soil nutrients in Yili River Valley

Abstract: Soil nutrients are a vital reference index of soil fertility and are essential in studying spatial variability for the development of land resources. The traditional statistical methods including correlation analysis and geostatistical analysis, were used to explore the spatial variability of nutrients and its influencing factors in the Yili River Valley. The results showed that soil total potassium (STK) had a weak variation, soil organic carbon (SOC), soil total nitrogen (STN) and soil total phosphorus (STP)… Show more

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Cited by 3 publications
(2 citation statements)
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“…Soil nutrient spatial distribution has often shown a high level of spatial heterogeneity [33,34]. Variogram analysis, a typical geostatistical approach in ecology, is useful for defining spatial data.…”
Section: Variogram Analysismentioning
confidence: 99%
“…Soil nutrient spatial distribution has often shown a high level of spatial heterogeneity [33,34]. Variogram analysis, a typical geostatistical approach in ecology, is useful for defining spatial data.…”
Section: Variogram Analysismentioning
confidence: 99%
“…These things suggest that the soils in the area don't have a lot of organic matter, which means they don't have a lot of SOC or TN. Influence of Cropping Practices on Intra-plot Spatial Heterogeneity Spatial heterogeneity in soil properties over a specific plot is typically assessed by computing the coefficient of variation (CV%) or standard error of the mean (SEM) values of every soil property (Mao et al, 2014;Zajícová & Chuman, 2019;Sun et al, 2022). Typically, CV% values less than 25% are considered low, while those greater than 25% are considered high; however, when CV% values exceed 25% but are less than 50%, the heterogeneity is considered moderate, while values greater than 50% are considered high.…”
Section: Variation In Soil Properties Between Topsoil and Subsoilmentioning
confidence: 99%