A statistical model for predicting the inter-annual variability of birch pollen abundance in Northern and North-Eastern Europe
- 1 February 2018
- journal article
- research article
- Published by Elsevier BV in Science of The Total Environment
- Vol. 615, 228-239
- https://doi.org/10.1016/j.scitotenv.2017.09.061
Abstract
No abstract availableFunding Information
- University of Latvia (Nr. AAP2016/B041//ZD2016/AZ03)
- Latvia LATENERGI (2014.10-4/VPP-1/27)
- Finnish Academy (266314)
- Copernicus Atmospheric Monitoring Service
- Finish Funding Agency for Innovations
- Finnish Academy
This publication has 47 references indexed in Scilit:
- Biometeorological and autoregressive indices for predicting olive pollen intensityInternational Journal of Biometeorology, 2012
- Prediction of the birch pollen season characteristics in Cracow, Poland using an 18-year data seriesAerobiologia, 2012
- Changes to Airborne Pollen Counts across EuropePLOS ONE, 2012
- Artificial neural network model of the relationship between Betula pollen and meteorological factors in Szczecin (Poland)International Journal of Biometeorology, 2011
- Modelling analysis of source regions of long-range transported birch pollen that influences allergenic seasons in LithuaniaAerobiologia, 2009
- Analysis of Airborne Betula Pollen in Finland; a 31-Year PerspectiveInternational Journal of Environmental Research and Public Health, 2009
- Male flowering of birch: Spatial synchronization, year-to-year variation and relation of catkin numbers and airborne pollen countsForest Ecology and Management, 2008
- Pollen production by Pinus taeda growing in elevated atmospheric CO2Functional Ecology, 2006
- Towards numerical forecasting of long-range air transport of birch pollen: theoretical considerations and a feasibility studyInternational Journal of Biometeorology, 2006
- Masting by Betula-species; applying the resource budget model to north European data setsInternational Journal of Biometeorology, 2004