Annual pollen accumulation rates of the main tree and shrub taxa of European Russia (Picea, Pinus, Betula, Alnus, Quercus, Tilia, Fraxinus, Ulmus and Corylus), as well as several herbaceous taxa (Poaceae, Cyperaceae, Chenopodiaceae and Artemisia), were obtained using Tauber pollen traps which were placed along a northwest to southeast transect in European Russia. The work was carried out within the framework of the Pollen Monitoring Programme (PMP). The data were analysed using both traditional interpretations of PAR (pollen accumulation rate) values and numerical methods (linear regressions and canonical correspondence analysis, CCA). The various vegetation zones: broadleaved-coniferous forest, broadleaved forest and forest-steppe, differ from each other by the absolute pollen values (PARs) of forest-forming taxa and several wind-pollinated herbs. However, no statistical support for zonal differentiation based on these PARs has been found. The only obvious difference was observed between the forest zone and the forest-steppe. The climatic gradient along the NW–SE transect is reflected by changes in pollen values, but is smoothed due to human influence during past centuries and as a consequence of the dominance of secondary vegetation formations. The highest total PAR, as well as PARs of all the forest-forming taxa, was observed in the southern part of the mixed broadleaved-coniferous forest zone (RU-ZV). The PARs of thermophilic taxa (Tilia, Fraxinus, Acer, Ulmus, Quercus and Corylus), as well as of Picea correspond to warmth availability which is under the influence of a combination of latitude, continentality of climate and microclimatic conditions. According to linear regressions, Picea, Tilia, Quercus and Corylus PARs correspond to T_jul, the July temperature of the previous season. Canonical correspondence analysis indicates that temperature, in particular T_jul, is the main climatic parameter controlling the variation of modern pollen rain.

欧洲俄罗斯主要树种和灌木类群（云杉，松，桦，et木，栎，ilia，ilia，水曲柳，榆木和锦葵）以及几种草本类群（禾本科，莎草科，藜科和蒿科）的年花粉积累率）是使用陶伯花粉诱集装置获得的，该诱集装置沿俄罗斯欧洲西北部到东南部样带放置。这项工作是在花粉监测计划（PMP）的框架内进行的。使用PAR（花粉累积率）值的传统解释和数值方法（线性回归和规范对应分析，CCA）对数据进行了分析。各种植被区：阔叶针叶林，阔叶林和森林草原，彼此之间的区别在于形成森林的分类单元和几种风媒植物的绝对花粉值（PAR）。但是，尚未发现基于这些PAR的区域分化的统计支持。在森林带和森林草原之间观察到唯一明显的差异。花粉值的变化反映了西北-东南断面的气候梯度，但由于过去几个世纪的人类影响以及次生植被形成的支配作用而使其平缓。在混合阔叶针叶林区（RU-ZV）的南部​​，观察到最高总PAR，以及所有森林形成类群中的PAR。嗜热类群的PAR（ilia树，水曲柳，宏cer，榆树，栎和锦鸡儿，以及云杉属都对应于温暖度，这受纬度，气候大陆性和微气候条件的共同影响。根据线性回归，Picea，Tilia，Quercus和Corylus的PAR对应于上一个季节的7月温度T _jul。典型的对应分析表明，温度，尤其是T _jul，是控制现代花粉雨变化的主要气候参数。