Literature DB >> 18247464

Use of phenological and pollen-production data for interpreting atmospheric birch pollen curves.

Victoria Jato1, F Javier Rodríguez-Rajo, M Jesús Aira.   

Abstract

Although aerobiological data are frequently used as a flowering sign in phenological research, airborne pollen counts are influenced by a number of factors affecting pollen curves. A study was made about the reproductive biology of birch and environmental factors influencing its pollen release and transport, in order to achieve a reliable interpretation of Betula pollen curves. Aerobiological data were recorded in 2002 and 2003 at two sites in NW Spain and phenological observations were carried out on 20 trees from four Betula populations (three Betula alba L. and one B. pendula Roth.). Pollen production was calculated for six Betula alba trees. Chilling and heat requirements for triggering development were calculated. Due to differences in the geographical location, budbreak and flowering started first in Betula pendula. The flowering period lasted from 8-13 days. Reduced pollen output per anther and catkin in individual trees in 2003 prompted a marked decline in overall pollen production. Major differences observed in birch pollen curves were attributed to the influence both of weather conditions and pollen transport from areas where the flowering occurs at a different time. Heat requirements calculated using phenological and aerobiological data were similar when the peak pollen-count date was used.

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Year:  2007        PMID: 18247464

Source DB:  PubMed          Journal:  Ann Agric Environ Med        ISSN: 1232-1966            Impact factor:   1.447


  11 in total

1.  Phenological records as a complement to aerobiological data.

Authors:  Rafael Tormo; Inmaculada Silva; Angela Gonzalo; Alfonsa Moreno; Remedios Pérez; Santiago Fernández
Journal:  Int J Biometeorol       Date:  2010-03-31       Impact factor: 3.787

2.  Forecasting the start of Quercus pollen season using several methods - the evaluation of their efficiency.

Authors:  Idalia Kasprzyk
Journal:  Int J Biometeorol       Date:  2009-04-16       Impact factor: 3.787

3.  A statistical approach to bioclimatic trend detection in the airborne pollen records of Catalonia (NE Spain).

Authors:  Alvaro Fernández-Llamazares; Jordina Belmonte; Rosario Delgado; Concepción De Linares
Journal:  Int J Biometeorol       Date:  2013-02-01       Impact factor: 3.787

4.  Predicting Onset and Duration of Airborne Allergenic Pollen Season in the United States.

Authors:  Yong Zhang; Leonard Bielory; Ting Cai; Zhongyuan Mi; Panos Georgopoulos
Journal:  Atmos Environ (1994)       Date:  2015-02       Impact factor: 4.798

5.  Climate change effect on Betula (birch) and Quercus (oak) pollen seasons in the United States.

Authors:  Yong Zhang; Leonard Bielory; Panos G Georgopoulos
Journal:  Int J Biometeorol       Date:  2013-06-21       Impact factor: 3.787

6.  Is Pollen Production of Birch Controlled by Genetics and Local Conditions?

Authors:  Surendra Ranpal; Miriam Sieverts; Verena Wörl; Georgia Kahlenberg; Stefanie Gilles; Maria Landgraf; Kira Köpke; Franziska Kolek; Daria Luschkova; Tobias Heckmann; Claudia Traidl-Hoffmann; Carmen Büttner; Athanasios Damialis; Susanne Jochner-Oette
Journal:  Int J Environ Res Public Health       Date:  2022-07-03       Impact factor: 4.614

7.  The patterns of Corylus and Alnus pollen seasons and pollination periods in two Polish cities located in different climatic regions.

Authors:  Małgorzata Puc; Idalia Kasprzyk
Journal:  Aerobiologia (Bologna)       Date:  2013-03-14       Impact factor: 2.410

8.  Bayesian Analysis of Climate Change Effects on Observed and Projected Airborne Levels of Birch Pollen.

Authors:  Yong Zhang; Sastry Isukapalli; Leonard Bielory; Panos Georgopoulos
Journal:  Atmos Environ (1994)       Date:  2012-11-12       Impact factor: 4.798

9.  Prediction of the birch pollen season characteristics in Cracow, Poland using an 18-year data series.

Authors:  Myszkowska Dorota
Journal:  Aerobiologia (Bologna)       Date:  2012-05-11       Impact factor: 2.410

10.  Variations in Quercus sp. pollen seasons (1996-2011) in Poznań, Poland, in relation to meteorological parameters.

Authors:  Lukasz Grewling; Bogdan Jackowiak; Matt Smith
Journal:  Aerobiologia (Bologna)       Date:  2013-08-07       Impact factor: 2.410

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