监测森林土壤有机碳含量期间的重复次数

V. P. Samsonova, J. L. Meshalkina, M. I. Kondrashkina, S. E. Dyadkina
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摘要

摘要 本文以 E.A. Dmitriev 等人的一篇文章中提供的数据为例,探讨了在监测研究期间评估森林生物地理群落中土壤有机碳(SOC)含量所需的土壤样本数量的估算问题。 SOC 含量的原始数据是在云杉林中的 166 个地点采集的,分别取自清除枯落物后的 0-10、10-20 和 20-30 厘米层。取样是在边长为 7 米的正六边形内,由边长为 1 米的等边三角形组成的规则网格的各点上进行的。原文提供了三个区域的统计数据:近树干区、树冠下区和树冠间区。所有区域和所有深度的碳含量空间变化都很大,变异系数约为 50%。研究表明,在 95% 的置信水平下,估算平均 SOC 含量所需的重复样本数量在 0 至 10 厘米层为数百个,在 20 至 30 厘米层则降至数十个。由于检验均值相等假设的重复次数不仅取决于置信水平,还取决于所用标准的功率,因此所需的重复次数会增加几倍。从整个垂直 0 至 30 厘米厚的层中取样进行测试,并形成复合样本,可以减少所需的重复次数。不过,需要仔细观察样品制备过程,包括样品的初步混合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Number of Replications during Monitoring of the Soil Organic Carbon Content in Forest

Abstract

The estimation of the required number of soil samples to assess the content of soil organic carbon (SOC) in forest biogeocenosis during monitoring studies is considered using the example of data given in an article by E.A. Dmitriev et al. Primary data on the SOC content were obtained in a spruce forest at 166 sites in layers of 0–10, 10–20, and 20–30 cm after removal of the litter. The sampling was performed at points of a regular grid formed by equilateral triangles with 1-m sides within a regular hexagon with a side of 7 m. The SOC content was determined by the method by Tyurin. The original article presents statistics for three zones: near-trunk, under-crown, and inter-crown. The spatial variation of carbon content in all the zones and at all depths is high, the coefficients of variation are about 50%. It is shown that the number of replications required to estimate the mean SOC content at a 95% confidence level is hundreds of samples in the 0- to 10-cm layer and decreases to tens of samples in the 20- to 30-cm layer. Since the number of replications for testing hypotheses about the equality of means depends not only on the confidence level, but also on the power of the criterion used, the required number of replications increases several times. Testing by samples taken from the entire vertical 0- to 30-cm-thick layer with the formation of composite samples reduces the number of required replications. However, careful observation of sample preparation, including primary mixing of samples, is required.

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