Finnish Forest Research Institute, P.O. Box 18, 01301, Vantaa, Finland.
Environ Monit Assess. 2009 Nov;158(1-4):67-76. doi: 10.1007/s10661-008-0565-2. Epub 2008 Oct 2.
We studied within-site spatial variation of the carbon stock in the organic layer of boreal forest soil. A total of 1,006 soil samples were taken in ten forest stands (five Scots pine stands and five Norway spruce stands). Our results indicate that the spatial autocorrelation disappears at a distance of 75-225 cm. This spatial autocorrelation should be taken into account in the sampling design by locating the sampling points at adequate intervals. With a sample size of over 20-30 samples per site, additional soil samples do not notably improve the precision of the site mean estimate. An adequate sample size is dependent on the purpose of sampling and on the site-specific soil variation. Our results on the dependence between sample size and precision of the mean estimates can be applied in designing efficient soil monitoring in boreal coniferous forests.
我们研究了北方森林土壤有机层碳储量的局域空间变异性。在十个林分(五个欧洲赤松林分和五个挪威云杉林分)中总共采集了 1006 个土壤样本。我们的结果表明,在 75-225 厘米的距离处空间自相关消失。在采样设计中,应考虑这种空间自相关,通过在适当的间隔处定位采样点来进行。对于每个站点,样本量超过 20-30 个样本时,额外的土壤样本不会显著提高站点平均值估计的精度。适当的样本量取决于采样的目的和特定站点的土壤变化。我们关于样本量和平均值估计精度之间的关系的结果可应用于设计北方针叶林的有效土壤监测。