Abstract:
partial canonical correspondence analysis was used to elucidate the relationship between the microfossil assemblages of foraminifera and environmental data; it showed that the standardised water level index, a surrogate for altitude, is the single most important and statistically significant controlling variable for the foraminiferal and diatom data. This statistically significant relationship was used to develop foraminifera-based and diatom-based transfer functions using weighted averaging calibration and regression. The former transfer function was applied to a single sediment sequence from Holkham, north Norfolk, to illustrate their potential to produce high precision relative sea-level reconstructions