The relationship between weather conditions and most important economi-cally infectious diseases of assimilative apparatus of forest trees was investigated for stands up to 20 years old. The analyses were based on data of Scots pine needle cast, twisting rust, shoot dieback, oak powdery mildew occurrence in Poland from the years 1975-2004 and meteorological data from 30 stations located all over the country from the years 1966-2005. There were 130 meteorological parameters of air and soil temperature, precipitation, humidity, synthetic hydrothermal coefficients (in forms of monthly, seasonal, annual and multi-annual means) as well as their deviations from multi-annual averages used in the calculations. To determine most influential for disease occurrence weather variables correlation and principal component analyses were applied, while multiple regression analysis was used to determine the dependence between diseases occurrence and selected weather parameters. For all analyzed diseases statistically significant dependence was found, most pronounced for meteorological parameters of the year of disease appearance as well as from one-two years earlier.
...
Project "Operational decision-making based on atmospheric conditions" (PROZA) started in September 2009 is created by the consortium of four partners: Interdisciplinary Centre for Mathematical and Computer Modeling (ICM), University of Warsaw, Research Institute of Pomology and Floriculture, Research Institute of Forestry, and Institute of Oceanography, University of Gdansk (IOUG). The project has been developed in a response to actual demands from economic entities. Increasing need to improve regional and local weather forecasts is based on a significant impact of a weather on many areas of the human activity. The systematic increase of the quality of forecasts based on the concentrated research in the field of numerical weather prediction gives the possibility to improve the usability and practical application of results in various fields of economy and social life. Topics implemented under the project relate both to the development of operational numerical weather prediction system and develop a range of applications for selected areas of the economy: energy, forestry, horticulture and marine management. ...
