Literature DB >> 27329325

Climate change: consequences on the pollination of grasses in Perugia (Central Italy). A 33-year-long study.

Ghitarrini Sofia1, Tedeschini Emma2, Timorato Veronica2, Frenguelli Giuseppe2.   

Abstract

Many works carried out in the last decades have shown that the pollen season for taxa flowering in winter and spring, in temperate regions, has tended to be earlier, probably due to the continuous rise in temperature. The mean annual temperature in Perugia, Central Italy, was about 0.5 °C higher in the last three decades compared with that registered from 1952 to 1981. The increase of temperature took place mainly in winter and spring, while no significant variation was recorded during the summer and autumn. This scenario shows variations in the timing and behavior of flowering of many spontaneous plants such as grasses, whose phenology is strongly influenced by air temperature. This work reports fluctuations in the airborne grass pollen presence in Perugia over a 33-year period (1982-2014), in order to study the influence of the warming registered in recent years on the behavior of pollen release of this taxon. The grass pollen season in Perugia typically lasts from the beginning of May to late July. The start dates showed a marked trend to an earlier beginning of the season (-0.4 day/year), as well as a strong correlation with the average temperatures of March and April. The peak is reached around 30th May, but the annual pollen index (API) is following a decreasing trend. The correlation between starting dates and spring temperatures could be interesting for the constitution of a forecasting model capable of predicting the presence of airborne grass pollen, helping to plan therapies for allergic people.

Entities:  

Keywords:  Climate change; Grasses; Italy; Poaceae; Pollination

Mesh:

Substances:

Year:  2016        PMID: 27329325     DOI: 10.1007/s00484-016-1198-8

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  24 in total

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2.  Atmospheric Poaceae pollen frequencies and associations with meteorological parameters in Brisbane, Australia: a 5-year record, 1994-1999.

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Journal:  Int J Biometeorol       Date:  2004-03-02       Impact factor: 3.787

3.  Description of the main Poaceae pollen season using bi-Gaussian curves, and forecasting methods for the start and peak dates for this type of season in Rzeszów and Ostrowiec Sw. (SE Poland).

Authors:  Idalia Kasprzyk; Adam Walanus
Journal:  J Environ Monit       Date:  2010-01-25

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

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

5.  Models for forecasting airborne Cupressaceae pollen levels in central Spain.

Authors:  Silvia Sabariego; Pedro Cuesta; Federico Fernández-González; Rosa Pérez-Badia
Journal:  Int J Biometeorol       Date:  2011-03-30       Impact factor: 3.787

6.  Molecular profiles of IgE to Phleum pratense in children with grass pollen allergy: implications for specific immunotherapy.

Authors:  Salvatore Tripodi; Tullio Frediani; Sandra Lucarelli; Francesco Macrì; Giuseppe Pingitore; Andrea Di Rienzo Businco; Arianna Dondi; Paola Pansa; Giovanni Ragusa; Riccardo Asero; Diego Faggian; Mario Plebani; Paolo Maria Matricardi
Journal:  J Allergy Clin Immunol       Date:  2011-12-28       Impact factor: 10.793

7.  Airborne pollen concentrations and the incidence of allergic asthma and rhinoconjunctivitis in northern Italy from 1992 to 2003.

Authors:  E Ridolo; R Albertini; D Giordano; L Soliani; I Usberti; P P Dall'Aglio
Journal:  Int Arch Allergy Immunol       Date:  2006-10-20       Impact factor: 2.749

8.  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

9.  Evaluation of atmospheric Poaceae pollen concentration using a neural network applied to a coastal Atlantic climate region.

Authors:  F J Rodríguez-Rajo; G Astray; J A Ferreiro-Lage; M J Aira; M V Jato-Rodriguez; J C Mejuto
Journal:  Neural Netw       Date:  2009-06-27

Review 10.  Impacts of climate change on aeroallergens: past and future.

Authors:  P J Beggs
Journal:  Clin Exp Allergy       Date:  2004-10       Impact factor: 5.018

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  4 in total

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2.  Correlation of Pollen Concentration and Meteorological Factors with Medical Condition of Allergic Rhinitis in Shenyang Area.

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3.  New biomolecular tools for aerobiological monitoring: Identification of major allergenic Poaceae species through fast real-time PCR.

Authors:  Sofia Ghitarrini; Elisa Pierboni; Cristina Rondini; Emma Tedeschini; Gloria R Tovo; Giuseppe Frenguelli; Emidio Albertini
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4.  Relationship between airborne pollen assemblages and major meteorological parameters in Zhanjiang, South China.

Authors:  Chen Bishan; Li Bing; Chen Chixin; Song Junxia; Zhu Shulin; Li Cailang; Yang Siqiao; Luo Chuanxiu
Journal:  PLoS One       Date:  2020-10-07       Impact factor: 3.240

  4 in total

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