Comparing the spatial predictions of soil organic matter determined by two laboratory methods
Comparing the spatial predictions of soil organic matter determined by two laboratory methods
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DOI：
10.1111/j.1475-2743.2001.tb00033.x
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发表时间：
2001-12
影响因子：
3.8
通讯作者：
Z. Frogbrook;M. Oliver
中科院分区：
文献类型：
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作者：
Z. Frogbrook;M. Oliver
抽象的。最常见的评估土壤有机质含量的方法是烧失法，这既简单又便宜。这种方法往往会高估有机物的含量，因为在点火过程中会发生额外的重量损失。另一种测定土壤有机质含量的方法是酸性重铬酸盐氧化法，这种方法更昂贵、更耗时。本文比较了这两种方法在两个农田不同母质土壤上的应用效果。综合统计和相关系数表明，这两组值之间存在着一致的关系：沙土的强度较大，粘壤土的强度较弱。这种关系可以用来提高知道土壤有机质含量的准确性，同时使用更少的昂贵的测量和更多的廉价的测量。比较了两种预测方法：协克立格法和简单线性回归法。它们被用来预测由酸性重铬酸盐氧化测定的有机物，从点火损失中确定。Cokriging的估计更准确，但该方法要求对空间相关性进行可靠的建模。回归结果表明，该方法具有较高的实用价值。利用精心挑选的九个采样点的信息，可以拟合出代表全部数据的回归线。
Abstract. The most common way of assessing soil organic matter content is by loss on ignition, which is both simple and inexpensive. This method tends to overestimate organic matter content because additional weight losses occur during ignition. An alternative, more expensive and time‐consuming method for determining soil organic matter content is by an acid dichromate oxidation. This paper compares the results of applying these methods to soil on different parent materials in two arable fields. Summary statistics and correlation coefficients showed that there were consistent relationships between the two sets of values: the stronger was for the sandy soil and the weaker was for the clay loam. This relationship can be used to improve the accuracy with which soil organic matter content is known while using fewer of the expensive measurements and more of the inexpensive ones. Two approaches to prediction were compared: the geostatistical method of cokriging, and simple linear regression. These were used to predict organic matter determined by an acid dichromate oxidation from the loss on ignition. The estimates from cokriging were more accurate but the method requires the spatial correlation to be modelled reliably. The regression results showed it to be a valuable and practical approach. Using the information from nine carefully selected sampling sites a regression line could be fitted that was representative of the full data.