An evaluation of some models to predict airborne pollen concentration from meteorological conditions in stockholm, sweden

Bringfelt, Björn; Engström, Ingemar; Nilsson, Siwert

doi:10.1080/00173138209427680

Cited by 38 publications

(26 citation statements)

References 5 publications

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“…Pine pollen release varied between years, reflecting differences in air temperature in April and early May. Previous studies have found that the timing and extent of pollen release is strongly dependent on ambient air temperature (Boyer 1973, Bringfelt et al 1982. In the study area large quantities of pine pollen were liberated over a short period (2 -3 weeks), with the peak pollen deposition on May 8 th , 1999 and May 15 th , 2000.…”

Section: Discussionmentioning

confidence: 89%

Deposition of airborne pine pollen in a temperate pine forest

Cho¹,

Kim²,

Kim³

et al. 2003

Grana

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Section: Discussionmentioning

confidence: 89%

Deposition of airborne pine pollen in a temperate pine forest

Cho¹,

Kim²,

Kim³

et al. 2003

Grana

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“…Pollen release in jack pine varied between years, reflecting differences in ambient air temperatures in May and early June. Previous studies have found that the timing and extent of pollen release is strongly dependent on ambient air temperature (e.g., Bringfelt et al 1982). In longleaf pine (Pinus palustris), low temperatures delay and extend the period of pollen release (Boyer 1973).…”

Section: Discussionmentioning

confidence: 99%

Pollen deposition in the boreal forest of west-central Canada

Lee¹,

Kenkel²,

Booth³

1996

Can. J. Bot.

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Deposition of tree and tall shrub pollen was examined along a 5.5-km transect in mixed boreal forest in west-central Manitoba, Canada. Annual pollen deposition averaged ca. 6850 grains/cm2 in 1992, with jack pine contributing 67.3% and spruce 24.5% of the total. In general, flowering plant species released their pollen in early to late May, while conifer (spruce and pine) pollen release occurred in early to mid-June. Pollen deposition was poorly correlated with relative species abundance in the community, with some species (e.g., jack pine) being over-represented in the pollen rain and others (e.g., aspen poplar) being under-represented. In 1993, spruce pollen deposition was 63% of that in 1992. By contrast, total pollen deposition by jack pine showed little variation from 1991 to 1993. However, pollen release dates varied between years, occurring earlier in years with warmer spring temperatures. Jack pine pollen release exhibited diurnal variation, with the majority of pollen being released during daylight hours on warm, sunny days.Key words: Manitoba, jack pine, black spruce, boreal forest, pollen rain, palynology RCsumC : Les auteurs ont examine la dCposition des pollens d'arbres et d'arbustes le long d'un transect de 5,5 km dans la for& boreale mixte du centre-ouest du Manitoba. En 1992, la deposition annuelle totale de pollen a atteint en moyenne environ 6850 grains/cm2, la contribution du pin gris Ctant de 67,3% et celle de 1'Cpinette de 24,5% du total.En gCnCral, les plantes B fleurs rellchent leur pollen du dCbut la fin de mai, alors que les conifires (Cpinette et pin) le font au dCbut de juin. La dCposition du pollen montre une faible corrClation avec l'abondance relative des espkces dans la communautC, certaines espkces Ctant (e.g., pin gris) sur-reprCsentCes dans la pluie pollinique et d'autres (e.g., le peuplier faux-tremble) sous-reprCsentCs. En 1993, la dCposition pollinique de 1'Cpinette atteint 63% de celle de 1992. Au contraire, la dCposition pollinique du pin gris montre peu de variation de 1991 B 1993. Cependant, les dates de rellchement du pollen varient entre les annCes, survenant plus t8t au cours des annCes aux temperatures printanikres les plus chaudes. Le rellchement du pollen du pin gris suit une variation diurne, la majorit6 du pollen Ctant reliche pendant les heures du jour, au cours des journCes chaudes et ensoleillCes.

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“…To date, few phenology models for herbaceous species phenology exist (Bringfelt et al 1982, Frenguelli et al 1989, Iglesias et al 1998, Larsson 1993, Pipper et al 1996, Seddigh & Jolliff 1994, Sinclair et al 1991, Subiza et al 1992). Most of them are statistical models, predicting flowering dates or periods of pollen shedding using correlations with climatic variables, such as mean temperature of March and April (Bringfelt et al 1982, Frenguelli et al 1989, Larsson 1993).…”

Section: Development Of Models For Herbaceous Taxamentioning

confidence: 99%

“…Most of them are statistical models, predicting flowering dates or periods of pollen shedding using correlations with climatic variables, such as mean temperature of March and April (Bringfelt et al 1982, Frenguelli et al 1989, Larsson 1993). Few of them are process-based models like phenological models developed for tree taxa, (Pipper et al 1996, Seddigh & Jolliff 1994, Sinclair et al 1991.…”

Section: Development Of Models For Herbaceous Taxamentioning

confidence: 99%

“…The socio-economic importance of allergies due to pollen has induced aerobiologists to look for predictive models of pollen load in the atmosphere (Boyer 1973, Bringfelt 1980, Bringfelt et al 1982, Andersen 1991, Frenguelli et al 1989, 1991Larsson 1993, Pedersen & Moseholm 1993, Spieksma et al 1995, Recio et al 1997, Alba & Guardia 1998, Díaz de la Guardia et al 1998, Iglesias et al 1998, Alba et al 2000, Bica et al 2000, Galá n et al 1998, 2000, 2001García-Mozo et al 2000). Such models are intended to predict the time course and the level of pollen load in the atmosphere for coming weeks.…”

mentioning

confidence: 99%

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