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- W2025070719 abstract "A vertical core through a Holocene peat in Scotland has been divided optimally into segments by multivariate and geostatistical analyses of the pollen of twenty important interrelated taxa. Pollen counts were converted to principal components (from the correlation matrix), and they were strongly correlated with depth. Their variograms were used to explore the stratigraphical structure in the core. The overall form of the variograms was monotonically increasing, but with a wave of length approximately 32 cm superimposed on it. Power spectra of the principal components, computed after filtering to remove long-range trend, had strong spectral peaks, with frequencies corresponding to the 32 cm found in the variograms which suggest that the pollen assemblage changes cyclically. The data were transformed to canonical variates, and the core was segmented using these variates by (a) minimizing the within-segment variation on average (global optimization), and (b) by maximizing the Mahalanobis distances between adjacent segments (local optimization). The results of the two methods were similar. When matched to the data they showed that distinct types of pollen assemblage, from woodland and more open grassland, alternate in a quasi-cyclic way. When converted to time the period was approximately 800 years." @default.
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- W2025070719 date "1997-03-01" @default.
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- W2025070719 title "Multivariate, autocorrelation and spectral analyses of a pollen profile from Scotland and evidence for periodicity" @default.
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- W2025070719 doi "https://doi.org/10.1016/s0034-6667(96)00041-3" @default.
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