Literature DB >> 18247458

Effect of air temperature on forecasting the start of Cupressaceae pollen type in Ponferrada (Leon, Spain).

Carmen Reyes Fuertes-Rodríguez1, Zulima González-Parrado, Ana María Vega-Maray, Rosa María Valencia-Barrera, Delia Fernández-González.   

Abstract

In order to survive periods of adverse cold climatic conditions, plant requirements are satisfied by means of physiological adaptations to prevent cells from freezing. Thus, the growth of woody plants in temperate regions slows down and they enter into a physiological state called dormancy. In order to identify the chilling and heat requirements to overcome the dormancy period of Cupressaceae pollen type in the south of Europe, we have carried out our study with aerobiological data from a 10-year (1996-2005) period in Ponferrada, León (Spain). For the chilling requirements the best result was with a threshold temperature of 7.1 degrees C and an average of 927 CH. Calculation of heat requirements was carried out with maximum temperature, with 490 growth degree days (GDD) needed, with a threshold temperature of 0 degrees C. We have used the 2002-2003, 2003-2004 and 2004-2005 periods in order to determine the real validity of the model. We have not used these years in developing the models. The dates predicted differ in only a few days from those observed: in 2002-2003 there was a difference of 11 days, in 2003-2004 predicted and observed dates were the same, but in 2004-2005 the difference obtained was of 43 days.

Entities:  

Mesh:

Year:  2007        PMID: 18247458

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


  5 in total

1.  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

2.  The weak effects of climatic change on Plantago pollen concentration: 17 years of monitoring in Northwestern Spain.

Authors:  Zulima González-Parrado; Rosa Ma Valencia-Barrera; Ana Ma Vega-Maray; Carmen Reyes Fuertes-Rodríguez; Delia Fernández-González
Journal:  Int J Biometeorol       Date:  2013-12-15       Impact factor: 3.787

3.  Spatial and temporal modeling of daily pollen concentrations.

Authors:  Curt T Dellavalle; Elizabeth W Triche; Michelle L Bell
Journal:  Int J Biometeorol       Date:  2011-02-18       Impact factor: 3.787

4.  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

5.  Temporal modelling and forecasting of the airborne pollen of Cupressaceae on the southwestern Iberian Peninsula.

Authors:  Inmaculada Silva-Palacios; Santiago Fernández-Rodríguez; Pablo Durán-Barroso; Rafael Tormo-Molina; José María Maya-Manzano; Ángela Gonzalo-Garijo
Journal:  Int J Biometeorol       Date:  2015-06-21       Impact factor: 3.787

  5 in total

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