Assessment of spatial uncertainty for delineating optimal soil sampling sites in rubber tree management using sequential indicator simulation

文献类型： 外文期刊

第一作者： Lin Qing-Huo

作者： Lin Qing-Huo;Guo Peng-Tao;Luo Wei;Lin Zhao-Mu;Lin Qing-Huo;Li Bao-Guo;Li Hong

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关键词： Categorical variables;Rubber trees;Sequential indicator simulation;Soil sampling sites;Spatial uncertainty management

期刊名称：INDUSTRIAL CROPS AND PRODUCTS （ 影响因子：5.645； 五年影响因子：5.749 ）

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收录情况： SCI

摘要： Where and how to sample soils in highly variable tree plantations are important to soil testing and nutrient recommendation for rubber trees (Hevea brasiliensis). The objectives of the study were to determine optimal sampling sites representing means of key soil nutrients at micro scale and to delineate probability maps for optimal soil sampling sites for nutrient management planning for rubber trees. The study was conducted in a rubber tree plantation in the tropical island of Hainan, China in 2011. A total of 168 soil samples (0-0.2 m in the soil depth) were collected in a 1 m x 0.5 m grid in equivalent rectangles. The air-dried soil samples were then analyzed for total nitrogen (TN) and soil organic matter (SOM) variables. Using the sequential indicator simulation (SIS) we discovered that sampling sites were with high probability for both soil TN and SOM within 10% relative standard deviation above and below the means. The high probability regions of uncertainties were near the rubber rhizome neck areas and in the shrub and ruderal zone in the high locations, where were no-tillage zones and at the specific non-cultivated land between the adjacent rubber planting strips with natural vegetation growth. The spatial variability in TN and SOM variables could be attributed to the combined effects of topographic micro-features and tree management practices. It was concluded that SIS method could be useful for effective determination of optimal sites for soil sampling for spatial uncertainty and nutrient management in rubber tree plantations. (C) 2016 Elsevier B.V. All rights reserved.

分类号： S5

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