A satellite-based map of onset of birch (Betula) flowering in Norway

Birch (Betula pubescens L.) is by far the most common deciduous tree in Norway and birch forests define the forest line both northwards and upwards. Because of its mountainous topography, long fjords, and long length from north to south, Norway is climatically and ecologically very diverse. Therefore, developing pollen forecasts in Norway is a challenging task. In this study we use MODIS-NDVI (normalized difference vegetation index) satellite data with 250 m spatial resolution and 16-days time resolution for the period 2000–2007, and birch pollen counts from ten Burkad traps distributed throughout Norway, to characterize the onset of birch flowering in Norway. Four of the seven trap stations with long-term series show significant values at the 5% level or better between the MODIS-NDVI defined onset and the date when the annual accumulated birch pollen sum reaches 2.5% of the annual total. A map of Norway that shows the eight-year mean (2000–2007) onset of birch flowering was produced. It reveals large differences in the timing of the onset of birch flowering along the north–south and altitude gradients. The map provides useful general information that can be utilized by the Norwegian pollen forecast service. This study shows that remote sensing is a useful tool for not only characterizing the onset of the birch pollen season but also revealing regional differences not easily detected by pollen stations alone.

[1]  S. Hicks,et al.  The start of the birch pollen season in Finnish Lapland: separating non‐local from local birch pollen and the implication for allergy sufferers , 2005 .

[2]  M. Sofiev,et al.  Long distance pollen transport cause problems for determining the timing of birch pollen season in Fennoscandia by using phenological observations , 2006 .

[3]  A. Baklanov,et al.  Elevated birch pollen episodes in Denmark: contributions from remote sources , 2007 .

[4]  A. Rasmussen The effects of climate change on the birch pollen season in Denmark , 2002 .

[5]  T. Linkosalo Regularities and patterns in the spring phenology of some boreal trees , 1999 .

[6]  M. Hjelmroos Evidence of long-distance transport of betula pollen , 1991 .

[7]  Stein Rune Karlsen,et al.  Variability of the start of the growing season in Fennoscandia, 1982–2002 , 2007, International journal of biometeorology.

[8]  C. Tucker,et al.  Increased plant growth in the northern high latitudes from 1981 to 1991 , 1997, Nature.

[9]  Stein Rune Karlsen,et al.  Satellite‐based mapping of the growing season and bioclimatic zones in Fennoscandia , 2006 .

[10]  A. K. Skidmore,et al.  A ground‐validated NDVI dataset for monitoring vegetation dynamics and mapping phenology in Fennoscandia and the Kola peninsula , 2007 .

[11]  R. Stöckli,et al.  European plant phenology and climate as seen in a 20-year AVHRR land-surface parameter dataset , 2004 .

[12]  J. Lawesson,et al.  National Atlas of Norway: Vegetation , 2000 .

[13]  Stein Rune Karlsen,et al.  The start dates of birch pollen seasons in Fennoscandia studied by NOAA AVHRR NDVI data , 2002, IEEE International Geoscience and Remote Sensing Symposium.

[14]  C. Porsbjerg,et al.  Airborne pollen in Nuuk, Greenland, and the importance of meteorological parameters , 2003 .

[15]  Tapio Linkosalo,et al.  Mutual regularity of spring phenology of some boreal tree species: predicting with other species and phenological models , 2000 .

[16]  Anne Tolvanen,et al.  MODIS-NDVI-based mapping of the length of the growing season in northern Fennoscandia , 2008, Int. J. Appl. Earth Obs. Geoinformation.

[17]  Stein Rune Karlsen,et al.  A vegetation‐based method to map climatic variation in the arctic–boreal transition area of Finnmark, north‐easternmost Norway , 2005 .

[18]  W. Gould,et al.  Phytomass, LAI, and NDVI in northern Alaska: Relationships to summer warmth, soil pH, plant functional types, and extrapolation to the circumpolar Arctic , 2003 .

[19]  J. Christensen,et al.  Copenhagen – a significant source of birch (Betula) pollen? , 2008, International journal of biometeorology.

[20]  Ramakrishna R. Nemani,et al.  Real-time monitoring and short-term forecasting of land surface phenology , 2006 .

[21]  T. M. Lillesand,et al.  Remote Sensing and Image Interpretation , 1980 .

[22]  A. Huete,et al.  Overview of the radiometric and biophysical performance of the MODIS vegetation indices , 2002 .

[23]  A. Menzel,et al.  Integration of flowering dates in phenology and pollen counts in aerobiology: analysis of their spatial and temporal coherence in Germany (1992–1999) , 2006, International journal of biometeorology.

[24]  Rudolf de Groot,et al.  The influence of temperature and climate change on the timing of pollen release in the Netherlands , 2002 .

[25]  Edwin W. Pak,et al.  An extended AVHRR 8‐km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data , 2005 .

[26]  R. Gehrig,et al.  Responses in the start of Betula (birch) pollen seasons to recent changes in spring temperatures across Europe , 2002, International journal of biometeorology.