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International Journal of Biometeorology

, Volume 56, Issue 5, pp 949–958 | Cite as

A method to derive vegetation distribution maps for pollen dispersion models using birch as an example

  • A. Pauling
  • M. W. Rotach
  • R. Gehrig
  • B. Clot
  • Contributors to the European Aeroallergen Network (EAN)
Original Paper

Abstract

Detailed knowledge of the spatial distribution of sources is a crucial prerequisite for the application of pollen dispersion models such as, for example, COSMO-ART (COnsortium for Small-scale MOdeling - Aerosols and Reactive Trace gases). However, this input is not available for the allergy-relevant species such as hazel, alder, birch, grass or ragweed. Hence, plant distribution datasets need to be derived from suitable sources. We present an approach to produce such a dataset from existing sources using birch as an example. The basic idea is to construct a birch dataset using a region with good data coverage for calibration and then to extrapolate this relationship to a larger area by using land use classes. We use the Swiss forest inventory (1 km resolution) in combination with a 74-category land use dataset that covers the non-forested areas of Switzerland as well (resolution 100 m). Then we assign birch density categories of 0%, 0.1%, 0.5% and 2.5% to each of the 74 land use categories. The combination of this derived dataset with the birch distribution from the forest inventory yields a fairly accurate birch distribution encompassing entire Switzerland. The land use categories of the Global Land Cover 2000 (GLC2000; Global Land Cover 2000 database, 2003, European Commission, Joint Research Centre; resolution 1 km) are then calibrated with the Swiss dataset in order to derive a Europe-wide birch distribution dataset and aggregated onto the 7 km COSMO-ART grid. This procedure thus assumes that a certain GLC2000 land use category has the same birch density wherever it may occur in Europe. In order to reduce the strict application of this crucial assumption, the birch density distribution as obtained from the previous steps is weighted using the mean Seasonal Pollen Index (SPI; yearly sums of daily pollen concentrations). For future improvement, region-specific birch densities for the GLC2000 categories could be integrated into the mapping procedure.

Keywords

Vegetation distribution Birch pollen Land use data Forest inventory Seasonal Pollen Index 

Notes

Acknowledgements

The authors would like to thank the following institutions for providing their pollen data to the European Aeroallergen Network (EAN):

The Austrian Pollen Information Service; The Scientific Institute of Public Health of Belgium; The German Pollen Information Service; The Spanish Aerobiological Network; the Danish Asthma-Allergy Association; The French Aerobiological Monitoring Network; The Italian Aerobiological Association; the Polish Allergen Research Center; the Spanish Universities of León, the Balearic Islands, Barcelona, Málaga, Vigo, Santiago de Compostela, and Córdoba; the Basque department of Health, Spain; The Free University Berlin, Germany; The Leiden University Medical Center, Netherlands; the University of Gothenburg, Sweden; the University of Novi Sad, Serbia; the Serbian Environmental Protection Agency; The UK Met Office; The Pollen Research Unit in Worcester, UK; Queen's University Belfast, UK; The Scottish Crop Research Institute; the University of Wales Institute, Cardiff, UK; the Hungarian National Institute of Environmental Health; the Ministry of Health, Luxembourg; and The University of Cracow, Poland. Additionally, the authors wish to thank the Swiss Federal Institute for Forest, Snow and Landscape Research and the Swiss Federal Office for Statistics for access to their data.

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Copyright information

© ISB 2011

Authors and Affiliations

  • A. Pauling
    • 1
  • M. W. Rotach
    • 1
    • 2
  • R. Gehrig
    • 1
  • B. Clot
    • 1
  • Contributors to the European Aeroallergen Network (EAN)
  1. 1.Federal Office of Meteorology and Climatology MeteoSwissZürichSwitzerland
  2. 2.Institute of Meteorology and GeophysicsUniversity of InnsbruckInnsbruckAustria

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