Häkkinen R, Linkosalo T, Hari P
The Finnish Forest Research Institute, Unioninkatu 40 A, FIN-00170 Helsinki, Finland.
Tree Physiol. 1995 Nov;15(11):721-6. doi: 10.1093/treephys/15.11.721.
We compared four methods for combining separate fragmentary phenological time series into a single long reliable series. The systematic linear effect of differences in observers, genotypes, geography and climate at the observation points produces disturbing variation in the observations and bias in the means of some time points. The three methods based on the adjustment of individual series eliminated the disturbing variation and bias. The methods were compared based on phenological observations of bud burst in birch (Betula pendula Roth). The method based on a linear mixed model of analysis of variance and the maximum likelihood estimation was considered preferable to the other methods.
我们比较了四种将单独的碎片化物候时间序列合并为一个单一的长期可靠序列的方法。观测点处观测者、基因型、地理位置和气候差异产生的系统性线性效应,在观测中产生了令人不安的变化以及某些时间点均值的偏差。基于单个序列调整的三种方法消除了这种令人不安的变化和偏差。这些方法是根据白桦(垂枝桦,Betula pendula Roth)芽萌发的物候观测进行比较的。基于方差分析的线性混合模型和最大似然估计的方法被认为比其他方法更可取。