Meteorological factors driving airborne grass pollen concentration in central Iberian Peninsula

Romero-Morte, Jorge; Rojo, Jesús; Pérez-Badía, Rosa

doi:10.1007/s10453-020-09647-7

Cited by 10 publications

(3 citation statements)

References 59 publications

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“…Previous studies are generally in agreement that temperature, precipitation, and local grass areas are important factors in this dynamic (García-Mozo et al, 2010Jung et al, 2021;Recio et al, 2010;Ščevková et al, 2020;Skjøth et al, 2013;Werchan et al, 2017). This is due both to the growth and maturity of the plants (Charles-Edwards et al, 1971;Förster et al, 2018;Hurtado-Uria et al, 2013) but also the impact on flowering and the release of pollen (Cebrino et al, 2016;Emecz, 1962;Romero-Morte et al, 2020). However, it is uncertain to what degree all of these factors contribute to the absolute levels and the movement of the grass pollen seen in the atmosphere, with one new modelling study suggesting that temperature and CO2 have important positive and enhancing effects, not only on grass pollen levels now but also in the future (Kurganskiy et al, 2021).…”

Section: Introductionmentioning

confidence: 55%

Atmospheric transport reveals grass pollen dispersion distances

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Apangu

Petch

et al. 2022

Science of The Total Environment

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Section: Introductionmentioning

confidence: 55%

Atmospheric transport reveals grass pollen dispersion distances

Frisk

Apangu

Petch

et al. 2022

Science of The Total Environment

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“…Paunero and Dactylis glomerata subsp. hispanica (Roth) Nyman, that routinely bloom in mid to late spring in years with higher cumulative rainfall in spring and winter has been reported in city of Toledo, Spain (Romero-Morte et al, 2020). Some studies have examined simultaneously a wide range of pollen flora in a specific area.…”

Section: The Effect Of Climate Change On Flowering Phenology and Poll...mentioning

confidence: 99%

The impacts of climate change and meteorological factors on pollen season indicators of allergenic plant taxa

Mousavi

Shahali

Oteros

et al. 2022

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Pollen respiratory allergies have been increasing in prevalence over the last two decades, partly as the result of the impact of climate change. For many allergenic trees, grass and weed species, increased pollen production and prolonged pollination period result in long-term increased abundance of pollen allergens in the atmosphere; earlier shifts of airborne pollen grains and prolonged exposure to respiratory allergens with important health effects on allergic individuals. The aim of this review paper was to investigate the impact of climate change and meteorological factors on pollen season indicators with a special focus on the main allergenic taxa worldwide. Main variables influencing flowering

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“…Grass pollen is arguably the most important outdoor aeroallergen with the highest amount of sensitization (D'Amato et al 2007;Heinzerling et al 2009). Studies have shown that there is a strong relationship between airborne pollen concentrations and the flowering phenology of grasses (Ghitarrini et al 2017;Kmenta et al 2016;Romero-Morte et al 2020). The identification and modelling of demographic and stochastic processes in grass flowering should increase understanding of this relationship.…”

Section: Introductionmentioning

confidence: 99%

Stochastic flowering phenology in Dactylis glomerata populations described by Markov chain modelling

2021

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Understanding the relationship between flowering patterns and pollen dispersal is important in climate change modelling, pollen forecasting, forestry and agriculture. Enhanced understanding of this connection can be gained through detailed spatial and temporal flowering observations on a population level, combined with modelling simulating the dynamics. Species with large distribution ranges, long flowering seasons, high pollen production and naturally large populations can be used to illustrate these dynamics. Revealing and simulating species-specific demographic and stochastic elements in the flowering process will likely be important in determining when pollen release is likely to happen in flowering plants. Spatial and temporal dynamics of eight populations of Dactylis glomerata were collected over the course of two years to determine high-resolution demographic elements. Stochastic elements were accounted for using Markov chain approaches in order to evaluate tiller-specific contribution to overall population dynamics. Tiller-specific developmental dynamics were evaluated using three different RV matrix correlation coefficients. We found that the demographic patterns in population development were the same for all populations with key phenological events differing only by a few days over the course of the seasons. Many tillers transitioned very quickly from non-flowering to full flowering, a process that can be replicated with Markov chain modelling. Our novel approach demonstrates the identification and quantification of stochastic elements in the flowering process of D. glomerata, an element likely to be found in many flowering plants. The stochastic modelling approach can be used to develop detailed pollen release models for Dactylis, other grass species and probably other flowering plants.

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Meteorological factors driving airborne grass pollen concentration in central Iberian Peninsula

Cited by 10 publications

References 59 publications

Atmospheric transport reveals grass pollen dispersion distances

Atmospheric transport reveals grass pollen dispersion distances

The impacts of climate change and meteorological factors on pollen season indicators of allergenic plant taxa

Stochastic flowering phenology in Dactylis glomerata populations described by Markov chain modelling

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