Male flowering of birch: Spatial synchronization, year-to-year variation and relation of catkin numbers and airborne pollen counts

Ranta, Hanna; Hokkanen, Tatu; Linkosalo, Tapio; Laukkanen, Liisa; Bondestam, Kristoffer; Oksanen, Annukka

doi:10.1016/j.foreco.2007.09.040

Cited by 71 publications

(78 citation statements)

References 35 publications

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“…A few studies reported in literature -e.g. Masaka (2001), Ranta et al (2008Ranta et al ( , 2005) -concentrate on predicting the SPI, which is a different quantity significantly affected by the current-year meteorological conditions. The total amount of pollen stored in catkins, in contrast, is decided by the previous-year summer and, to some extent, the following winter conditions.…”

Section: Main Uncertainties Of the Ensemblementioning

confidence: 99%

MACC regional multi-model ensemble simulations of birch pollen dispersion in Europe

et al. 2015

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Abstract. This paper presents the first ensemble modelling experiment in relation to birch pollen in Europe. The sevenmodel European ensemble of MACC-ENS, tested in trial simulations over the flowering season of 2010, was run through the flowering season of 2013. The simulations have been compared with observations in 11 countries, all members of the European Aeroallergen Network, for both individual models and the ensemble mean and median. It is shown that the models successfully reproduced the timing of the very late season of 2013, generally within a couple of days from the observed start of the season. The end of the season was generally predicted later than observed, by 5 days or more, which is a known feature of the source term used in the study. Absolute pollen concentrations during the seaPublished by Copernicus Publications on behalf of the European Geosciences Union. M. Sofiev et al.: MACC regional multi-model ensemble simulations of birch pollen dispersionson were somewhat underestimated in the southern part of the birch habitat. In the northern part of Europe, a recordlow pollen season was strongly overestimated by all models. The median of the multi-model ensemble demonstrated robust performance, successfully eliminating the impact of outliers, which was particularly useful since for most models this was the first experience of pollen forecasting.

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Section: Main Uncertainties Of the Ensemblementioning

confidence: 99%

MACC regional multi-model ensemble simulations of birch pollen dispersion in Europe

et al. 2015

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“…Damialis et al 2007 ) , which could be of particular interest for forecasts. However, the pollen index can be a biased measure of the reproductive output of the plants, as it is in fl uenced by factors such as the atmospheric transport and deposition of pollen, and weather factors affecting the emission process (Ranta et al 2008 ) . Episodes of long distance transport from remote sources occur at a regular basis, and can contribute signi fi cantly to the counts registered at a certain site (Mahura et al 2007 ) .…”

Section: The Pollen Index Parametermentioning

confidence: 99%

“…Episodes of long distance transport from remote sources occur at a regular basis, and can contribute signi fi cantly to the counts registered at a certain site (Mahura et al 2007 ) . Although the reproductive output of tree species could be synchronized at a large geographical scale (Ranta et al 2008 ) , the local pollen index may be in fl uenced by factors acting far away from the immediate environment.…”

Section: The Pollen Index Parametermentioning

confidence: 99%

The Onset, Course and Intensity of the Pollen Season

et al. 2012

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The onset, duration and intensity of the period when pollen is present in the air varies from year to year. Amongst other things, there is an effect upon the quality of life of allergy sufferers. The production and emission of pollens are governed by interacting environmental factors. Any change in these factors may affect the phenology and intensity of the season. Readiness to fl ower in a plant, and the amount of pollen produced, is the result of conditions during an often long period foregoing fl owering. When a plant is ready to fl ower, temporary ambient circumstances e.g., irradiation and humidity, determine the timing of the actual

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“…No major land use changes have occurred around the sampling point or in the city from 2001 that could explain the pollen variations observed. Inter-annual differences in airborne pollen concentration is a widely known phenomena and has been explained by a number of events like differences in meteorological conditions (McLauchlan et al, 2011), episodes of long-range transport (Mahura et al, 2007;Cecchi et al, 2007) or inter-annual variation of plant reproductive efforts (Ranta et al, 2008). The main objective the present study was to analyze the main characteristics of atmospheric pollen and therefore more analyses are needed to identify other factors that could explain the inter-annual differences observed.…”

Section: Discussionmentioning

confidence: 99%

General characteristics of airborne pollen in Montevideo city, Uruguay.

Tejera¹,

Beri²,

Martínez-Blanco³

2018

Bol. Soc. Argent. Bot.

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: This paper analyses daily and seasonal variations on pollen concentrations and the influence of meteorological conditions on the airborne pollen from June 2011 to May 2014. Data is also compared with results from a previous pollen survey from 2000-2001. Ninety-three taxa were identified, belonging to 49 trees and shrub taxa and 44 herbaceous taxa. The most important pollen sources were Poaceae, Platanus, Cupressaceae/Taxaceae, Eupatorieae type, Celtis, Urticaceae, Myrtaceae, Casuarina, Amaranthaceae, Cyperaceae, Fraxinus, Arecaceae, Ricinus communis, Moraceae, Myrsine, Ambrosia, Quercus, and Pinaceae. Pollen was recorded all year round but the main pollen season was from August to April. Inter-annual differences were observed on pollen indexes, dates and values of daily peak concentrations and monthly accumulated concentrations. Temperature, relative air humidity and wind speed and direction seem to be the most influential meteorological variables on pollen concentrations. The number of days that pollen concentrations are above moderate and high thresholds levels is estimated and woody and non-woody pollen concentrations would be above moderate levels on average 182 days per year.

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Male flowering of birch: Spatial synchronization, year-to-year variation and relation of catkin numbers and airborne pollen counts

Cited by 71 publications

References 35 publications

MACC regional multi-model ensemble simulations of birch pollen dispersion in Europe

MACC regional multi-model ensemble simulations of birch pollen dispersion in Europe

The Onset, Course and Intensity of the Pollen Season

General characteristics of airborne pollen in Montevideo city, Uruguay.

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