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首页> 外文期刊>Environmental Science: Processes & Impacts >Spatial assessment of soil nitrogen availability and varying effects of related main soil factors on soil available nitrogen
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Spatial assessment of soil nitrogen availability and varying effects of related main soil factors on soil available nitrogen

机译：土壤氮素有效利用空间评价及相关主要土壤因子对土壤有效氮的变化影响

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摘要

To effectively understand the availability of soil nitrogen and assist in soil nitrogen control at the regional scale, it is essential to understand the accurate spatial distribution patterns of the three soil nitrogen parameters [i.e., total nitrogen (TN), available nitrogen (AN) and nitrogen availability ratio (NAR)] and explore the spatially varying influences of major impact factors on soil AN. Land use affects the spatial distributions of soil TN, AN and NAR (i.e., AN/TN). To explore the effects of different land use types and improve mapping accuracy, residual kriging with land use information and ordinary kriging (without land use information) were compared based on the sample data of soil TN and AN in Hanchuan county, China. A local regression technique, geographically weighted regression (GWR), was adopted to explore the varying relationships between soil AN and its major impact factors in soil (i.e., soil TN and soil pH), due to the advantages of GWR over the traditional ordinary least squares regression (OLS) model. The results showed that (1) land use types as auxiliary information obviously improved the prediction accuracies of the three soil nitrogen parameters; (2) GWR performed much better than OLS in terms of fitting accuracy; and (3) GWR effectively revealed the spatially varying influences of the impact factors on soil AN, which were ignored by OLS. Based on the results, suggestions for soil nitrogen control measures in different subareas were proposed.
机译：为了有效地了解土壤氮素的可用性并协助在区域范围内控制土壤氮素，必须了解三个土壤氮素参数的准确空间分布模式[即总氮（TN），有效氮（AN）和氮素利用率（NAR）]，并探讨主要影响因素对土壤AN的空间变化影响。土地利用会影响土壤TN，AN和NAR（即AN / TN）的空间分布。为了探索不同土地利用类型的影响并提高制图精度，根据中国汉川县土壤TN和AN的样本数据，比较了具有土地利用信息的残差克里金法和没有土地利用信息的普通克里金法。由于GWR优于传统的普通最小二乘法，因此采用局部加权技术，即地理加权回归（GWR）来研究土壤AN及其主要影响因子（即土壤TN和pH）之间的变化关系。平方回归（OLS）模型。结果表明：（1）土地利用类型作为辅助信息，明显提高了土壤三氮参数的预测精度; （2）GWR的拟合精度比OLS好得多; （3）GWR有效地揭示了影响因子对土壤AN的空间变化影响，但OLS忽略了这些影响。在此基础上，提出了不同分区土壤氮素控制措施的建议。

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