Definition of main pollen season using logistic model

• Autorzy: Ribeiro H. , Cunha M. , Abreu I.
• Języki publikacji: EN

Abstrakty

EN

This paper proposes a method to unify the defi nition of the main pollen season based on statistical analysis. For this, an aerobiological study was carried out in Porto region (Portugal), from 2003-2005 using a 7-day Hirst-type volumetric spore trap. To defi ne the main pollen season, a non-linear logistic regression model was fi tted to the values of the accumulated sum of the daily airborne pollen concentration from several allergological species. An important feature of this method is that the main pollen season will be characterized by the model parameters calculated. These parameters are identifi able aspects of the fl owering phenology, and determine not only the beginning and end of the main pollen season, but are also infl uenced by the meteorological conditions. The results obtained with the proposed methodology were also compared with two of the most used percentage methods. The logistic model fi tted well with the sum of accumulated pollen. The explained variance was always higher than 97%, and the exponential part of the predicted curve was well adjusted to the time when higher atmospheric pollen concentration was sampled. The comparison between the different methods tested showed large divergence in the duration and end dates of the main pollen season of the studied species.

Słowa kluczowe

EN

Portugal; statistical analysis; pollen concentration; pollen season; airborne pollen; logistic regression; Porto Region; pollen emission model; main pollen season

• Wydawca: -
• Czasopismo: Annals of Agricultural and Environmental Medicine
• Rocznik: 2007
• Tom: 14
• Numer: 2
• Opis fizyczny: p.259-264,fig.,ref.

Twórcy

autor

Ribeiro H.

• University of Porto, Rua do Campo Alegre, 1191, 4150 Porto, Portugal

autor

Cunha M.

autor

Abreu I.

Bibliografia

• Cunha M, Abreu I, Pinto P, Castro R: Airborne Pollen Samples for Early-Season Estimates of Wine Production in a Mediterranean Climate of Northern Portugal. Am J Enol Vitic 2003, 54(3), 189-194.
• Orlandi F, Romano B, Fornaciari M: Effective pollination period estimation in olive (Olea europaea L.): a pollen monitoring application. Sci Hortic 2005, 105, 313-318.
• Rodríguez-Rajo FJ, Valencia-Barrera RM, Vega-Maray AM, Suárez FJ, Fernández-González D, Jato V: Prediction of airborne Alnus pollen concentration by using ARIMA models. Ann Agric Environ Med 2006, 13, 25-32.
• Galán C, Emberlin J, Domínguez E, Bryant RH, Villamandos F: A comparative analysis of daily variations in the Gramineae pollen counts at Córdoba, Spain and London, UK. Grana 1995, 34, 189-198.
• Nilsson S, Persson S: Tree pollen spectra in the Stockholm region (Sweden) 1973-1980. Grana 1981, 20, 179-182.
• Jäger S, Nilsson S, Berggren B, Pessi AM, Helander M, Ramfjord H: Trends of some airborne tree pollen in the Nordic countries and Austria, 1980-1993. A comparison between Stockholm, Trondheim, Turku and Vienna. Grana 1996, 35, 171-178.
• Pathirane L: Graphical determination of the main pollen season. Pollen et Spores 1975, 17, 609-610.
• Giorato M, Lorenzoni F, Bordin A, De Biasi G, Gemignani C, Schiappoli M, Marcer G: Airborne allergenic pollens in Padua: 1991-1996. Aerobiologia 2000, 16, 453-454.
• Jato V, Rodríguez-Rajo FJ, Alcázar P, De Nuntiis P, Galán C, Mandrioli P: May the defi nition of pollen season infl uence aerobiological results? Aerobiologia 2006, 22(1), 13-25.
• Weryszko-Chmielewska E, Puc M, Piotrowska K: Effect of meteorological factors on Betula, Fraxinus and Quercus pollen concentrations in the atmosphere of Lublin and Szczecin. Ann Agric Environ Med 2006, 13, 243-249.
• García-Mozo H, Galán C, Jato V, Belmonte J, de la Guardia CD, Fernández D, Gutiérrez M, Aira MJ, Roure JM, Ruiz L, Trigo MM, Domínguez-Vilches E: Quercus pollen season dynamics in the Iberian Peninsula: response to meteorological parameters and possible consequences of climate change. Ann Agric Environ Med 2006, 13, 209-224.