森林土壤有机碳含量监测的重复次数

V. Samsonova, J. L. Meshalkina, M. Kondrashkina, S. E. Dyadkina
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引用次数: 0

摘要

以 E.A. Dmitriev 等人文章中的数据为例,考虑了在监测研究期间评估森林生物地理群落中 SOC 含量所需的土壤样本数量的估算。在云杉林中,在清除枯落物后的 0-10、10-20 和 20-30 厘米层的 166 个点获得了 SOC 含量的原始数据。采样是在边长为 7 米的正六边形内边长为 1 米的等边三角形的规则网格节点上进行的。原文提供了近茎、树冠下和树冠间三个区域的统计数据。所有区域和所有深度的空间变异都很大,变异系数约为 50%。结果表明,在 95% 的置信度下,0-10 厘米层估算 SOC 平均含量所需的重复样本数量为数百个,20-30 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 0-30 厘米的整个垂直层取样并从中形成混合样本,可以减少所需的重复次数,但仍需谨慎制样,包括样本的初次混合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
THE NUMBER OF REPETITIONS DURING OF THE SOIL ORGANIC CARBON CONTENT MONITORING IN THE FOREST REVISITED
Using the example of data from the article by E.A. Dmitriev et al., the estimation of the required number of soil samples to assess the SOC content in the forest biogeocenosis during monitoring studies is considered. Primary data on SOC content were obtained in the spruce forest at 166 points in layers 0-10, 10-20, and 20-30 cm af er removal of the litter. T e sampling was carried out at the nodes of a regular grid of equilateral triangles with 1 m side within a regular hexagon with a side of 7 m. T e SOC content was determined by the Tyurin method. T e original article presents statistics for three zones - near-stem, under-crown and inter-crown space. Spatial variation in all zones and at all depths is high, the coef cients of variation are about 50%. It is shown that the number of replicates required for estimating the average SOC content at a 95% conf dence level in the 0-10 cm layer is hundreds of samples and decreases to tens of samples in the 20-30 cm layer. Since the number of repetitions for testing hypotheses about the equality of means depends not only on the conf dence level, but also on the power of the criterion used, the required number of repetitions increases several times. Sampling with samples taken from the entire vertical layer of 0-30 cm and forming mixed samples from them reduces the number of required repetitions, however, careful observance of sample preparation, including primary mixing of samples, is required.
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