Literature DB >> 19802634

Olive flowering trends in a large Mediterranean area (Italy and Spain).

Fabio Orlandi1, Herminia Garcia-Mozo, Carmen Galán, Bruno Romano, Consuelo Diaz de la Guardia, Luis Ruiz, Maria del Mar Trigo, Eugenio Dominguez-Vilches, Marco Fornaciari.   

Abstract

The aim of this study was to investigate the main climatic and biological trends related to olive flowering in central-southern Italy compared to those in Andalusia, Spain. Results since 1982 were compared for the two long-series monitoring areas of Cordoba and Perugia, and since 1992-1999 for the short-series areas. The relationship between climatic trends and the biological response of the olive, a widespread culture in the Mediterranean basin, were investigated. An aerobiological method involving capturing pollen released into the atmosphere was utilised as a bioindicator of flowering phenology. The study results confirm the strong relationship between flowering periods and spring temperature trends for the olive. Temperature during March, April and May was the parameter most related to flowering date in the study areas, particularly in Italy. In some cases we found a significant correlation between flowering and past autumn temperatures, probably due to their effect on floral bud dormancy induction, but this phenomenon appeared to be of minor importance in the studied areas. The phenological trend results show the continuous advance of flowering dates to the late 1990s, followed by a relatively stationary time series related to a short-term temperature fluctuation in the Mediterranean area. This latter period probably represents a mesoscale event forced by a macroscale event-the North Atlantic Oscillation. The results reveal that the trend towards increased temperatures, and the consequent flowering advance of some species, indicated some years ago is nowadays not as clear as was expected and should be confirmed over the next few years in the Mediterranean areas under investigation.

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Year:  2009        PMID: 19802634     DOI: 10.1007/s00484-009-0264-x

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


  4 in total

1.  Model for forecasting Olea europaea L. airborne pollen in South-West Andalusia, Spain.

Authors:  C Galán; P Cariñanos; H García-Mazo; P Alcázar; E Domínguez-Vilches
Journal:  Int J Biometeorol       Date:  2001-07       Impact factor: 3.787

2.  Climate change and shifts in spring phenology of three horticultural woody perennials in northeastern USA.

Authors:  David W Wolfe; Mark D Schwartz; Alan N Lakso; Yuka Otsuki; Robert M Pool; Nelson J Shaulis
Journal:  Int J Biometeorol       Date:  2004-12-09       Impact factor: 3.787

3.  Heat requirement for the onset of the Olea europaea L. pollen season in several sites in Andalusia and the effect of the expected future climate change.

Authors:  C Galán; H García-Mozo; L Vázquez; L Ruiz; C Díaz de la Guardia; M M Trigo
Journal:  Int J Biometeorol       Date:  2004-07-27       Impact factor: 3.787

4.  Correlation between large-scale atmospheric fields and the olive pollen season in Central Italy.

Authors:  E Avolio; L Pasqualoni; S Federico; M Fornaciari; T Bonofiglio; F Orlandi; C Bellecci; B Romano
Journal:  Int J Biometeorol       Date:  2008-07-11       Impact factor: 3.787

  4 in total
  10 in total

1.  Biometeorological and autoregressive indices for predicting olive pollen intensity.

Authors:  J Oteros; H García-Mozo; C Hervás; C Galán
Journal:  Int J Biometeorol       Date:  2012-06-02       Impact factor: 3.787

2.  The phenology of cherry blossom (Prunus yedoensis "Somei-yoshino") and the geographic features contributing to its flowering.

Authors:  Yukitaka Ohashi; Hiroshi Kawakami; Yoshinori Shigeta; Hiroshi Ikeda; Nobuko Yamamoto
Journal:  Int J Biometeorol       Date:  2011-09-29       Impact factor: 3.787

3.  Phenological models to predict the main flowering phases of olive (Olea europaea L.) along a latitudinal and longitudinal gradient across the Mediterranean region.

Authors:  Fátima Aguilera; Marco Fornaciari; Luis Ruiz-Valenzuela; Carmen Galán; Monji Msallem; Ali Ben Dhiab; Consuelo Díaz-de la Guardia; María Del Mar Trigo; Tommaso Bonofiglio; Fabio Orlandi
Journal:  Int J Biometeorol       Date:  2014-07-25       Impact factor: 3.787

4.  Models for forecasting the flowering of Cornicabra olive groves.

Authors:  Jesús Rojo; Rosa Pérez-Badia
Journal:  Int J Biometeorol       Date:  2015-02-06       Impact factor: 3.787

5.  The rise of phenology with climate change: an evaluation of IJB publications.

Authors:  Alison Donnelly; Rong Yu
Journal:  Int J Biometeorol       Date:  2017-05-19       Impact factor: 3.787

6.  Year clustering analysis for modelling olive flowering phenology.

Authors:  J Oteros; H García-Mozo; C Hervás-Martínez; C Galán
Journal:  Int J Biometeorol       Date:  2012-08-11       Impact factor: 3.787

7.  Improvement in the accuracy of back trajectories using WRF to identify pollen sources in southern Iberian Peninsula.

Authors:  M A Hernández-Ceballos; C A Skjøth; H García-Mozo; J P Bolívar; C Galán
Journal:  Int J Biometeorol       Date:  2014-04-05       Impact factor: 3.787

8.  Regional forecast model for the Olea pollen season in Extremadura (SW Spain).

Authors:  Santiago Fernández-Rodríguez; Pablo Durán-Barroso; Inmaculada Silva-Palacios; Rafael Tormo-Molina; José María Maya-Manzano; Ángela Gonzalo-Garijo
Journal:  Int J Biometeorol       Date:  2016-02-19       Impact factor: 3.787

9.  Climate change impact on the olive pollen season in Mediterranean areas of Italy: air quality in late spring from an allergenic point of view.

Authors:  Tommaso Bonofiglio; Fabio Orlandi; Luigia Ruga; Bruno Romano; Marco Fornaciari
Journal:  Environ Monit Assess       Date:  2012-04-01       Impact factor: 2.513

10.  Fine-scale ecological and economic assessment of climate change on olive in the Mediterranean Basin reveals winners and losers.

Authors:  Luigi Ponti; Andrew Paul Gutierrez; Paolo Michele Ruti; Alessandro Dell'Aquila
Journal:  Proc Natl Acad Sci U S A       Date:  2014-03-24       Impact factor: 11.205

  10 in total

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