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Biogeographical drivers of ragweed pollen concentrations in Europe
Autoři | |
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Rok publikování | 2018 |
Druh | Článek v odborném periodiku |
Časopis / Zdroj | Theoretical and Applied Climatology |
Fakulta / Pracoviště MU | |
Citace | |
www | https://link.springer.com/article/10.1007/s00704-017-2184-8 |
Doi | http://dx.doi.org/10.1007/s00704-017-2184-8 |
Klíčová slova | AMBROSIA-ARTEMISIIFOLIA L.; AIRBORNE POLLEN; CLIMATE-CHANGE; SOURCE INVENTORY; TRENDS; DISPERSAL; PATTERNS; EXPOSURE; FRANCE; SPREAD |
Popis | The drivers of spatial variation in ragweed pollen concentrations, contributing to severe allergic rhinitis and asthma, are poorly quantified. We analysed the spatiotemporal variability in 16-year (1995-2010) annual total (66 stations) and annual total (2010) (162 stations) ragweed pollen counts and 8 independent variables (start, end and duration of the ragweed pollen season, maximum daily and calendar day of the maximum daily ragweed pollen counts, last frost day in spring, first frost day in fall and duration of the frost-free period) for Europe (16 years, 1995-2010) as a function of geographical coordinates. Then annual total pollen counts, annual daily peak pollen counts and date of this peak were regressed against frost-related variables, daily mean temperatures and daily precipitation amounts. To achieve this, we assembled the largest ragweed pollen data set to date for Europe. The dependence of the annual total ragweed pollen counts and the eight independent variables against geographical coordinates clearly distinguishes the three highly infected areas: the Pannonian Plain, Western Lombardy and the Rhone-Alpes region. All the eight variables are sensitive to longitude through its temperature dependence. They are also sensitive to altitude, due to the progressively colder climate with increasing altitude. Both annual total pollen counts and the maximum daily pollen counts depend on the start and the duration of the ragweed pollen season. However, no significant changes were detected in either the eight independent variables as a function of increasing latitude. This is probably due to a mixed climate induced by strong geomorphological inhomogeneities in Europe. |