An abundant and diverse vegetation, presence of extensive cover peatlands and the habitat of a large number of seabirds distinguish the Ainov Islands (Kandalaksha State Nature Reserve, Russia) from most other Arctic islands and nearby mainland areas of ...
Ludmila V. Filimonova +1 more
doaj +1 more source
Seasonality in quantity of atmospheric fungal aerosol in Tartu (Estonia) [PDF]
The quantity of fungal spores collected in routine aerobiological monitoring of atmosphere in Tartu 1989–1994 was studied with respect to two aspects: daily mean concentration (measured as the number of spores in cubic metre of air in 24 hours), and ...
Saar, Maret
core +1 more source
Decimal growth scale of cereals [PDF]
Accurate assessment of growth stage is important because the cereal plant\u27s response to herbicide, growth regulator or fertiliser application depends on its stage of ...
Department of Environment and Primary Industries
core
Pollen calendar of Seville and its relation to allergies.
We have carried out a study on the annual and weekly variation of airborne pollen in the air of Seville (Andalusia, Southern Spain) during 3 consecutive years using two Cour's collectors. We provide the pollen calendar of this city, which shows the annual distribution of the most important pollen types.
M L, González Romano +2 more
openaire +1 more source
Conception and pilot testing of a self-management health application for patients with pollen-related allergic rhinitis and allergic asthma-the APOLLO app. [PDF]
Landesberger V +11 more
europepmc +1 more source
Tree pollen allergen sensitization: Prevalence, risk factors, and geographic variation in the United States. [PDF]
Robinson M +5 more
europepmc +1 more source
Possible implications of the variability of the most allergenic plant pollen seasons in Poland. [PDF]
Myszkowska D +14 more
europepmc +1 more source
The Appalbees menu: a multiyear, multilocus metagenetic assessment of pollen foraging by Appalachian <i>Bombus affinis</i> workers. [PDF]
Cornman RS, Hepner MJ, Otto CRV.
europepmc +1 more source
Comparison of machine learning methods in forecasting and characterizing the birch and grass pollen season. [PDF]
Bulanda D +4 more
europepmc +1 more source

