Abstract

The REVEALS model is a tool for recalculating pollen data into vegetation abundances on a regional scale. We explored the general effect of selected parameters by performing simulations and ascertained the best model setting for the Czech Republic using the shallowest samples from 120 fossil sites and data on actual regional vegetation (60 km radius). Vegetation proportions of 17 taxa were obtained by combining the CORINE Land Cover map with forest inventories, agricultural statistics and habitat mapping data. Our simulation shows that changing the site radius for all taxa substantially affects REVEALS estimates of taxa with heavy or light pollen grains. Decreasing the site radius has a similar effect as increasing the wind speed parameter. However, adjusting the site radius to 1 m for local taxa only (even taxa with light pollen) yields lower, more correct estimates despite their high pollen signal. Increasing the background radius does not affect the estimates significantly. Our comparison of estimates with actual vegetation in seven regions shows that the most accurate relative pollen productivity estimates (PPEs) come from Central Europe and Southern Sweden. The initial simulation and pollen data yielded unrealistic estimates for Abies under the default setting of the wind speed parameter (3 m/s). We therefore propose the setting of 4 m/s, which corresponds to the spring average in most regions of the Czech Republic studied. Ad hoc adjustment of PPEs with this setting improves the match 3–4-fold. We consider these values (apart from four exceptions) to be appropriate, because they are within the ranges of standard errors, so they are related to original PPEs. Setting a 1 m radius for local taxa (Alnus, Salix, Poaceae) significantly improves the match between estimates and actual vegetation. However, further adjustments to PPEs exceed the ranges of original values, so their relevance is uncertain.

Highlights

  • Pollen-based quantification of past land cover is important for understanding vegetation-climate interactions and human induced changes [1]

  • Our simulation shows that changing the site radius influences substantially the REgional Vegetation Estimates from Large Sites (REVEALS) estimates of taxa with very heavy (Abies) or light pollen grains

  • Decreasing the site radius has a similar effect as increasing the wind speed parameter

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Summary

Introduction

Pollen-based quantification of past land cover is important for understanding vegetation-climate interactions and human induced changes [1]. The LRA can be used in combination with other data, for example, to estimate the spatial extent of cereal fields [7], to examine the role of different factors on long-term vegetation changes [11] or as input for climate reconstructions [12]. Various model parameters have been shown to vary significantly among regions [13]. To provide Holocene vegetation estimates for the Czech Republic, we need to examine the model parameters in light of modern pollen assemblages at fossil sites and compare them with actual vegetation composition

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