title: Masting by Betula-species; applying the resource budget model to north European data sets.
abstract: Masting, the intermittent production of large crops of flowers by a plant population, is a common feature among trees in boreal and temperate forests. The pollen of many broadleaved trees causes allergic diseases, which are major causes of increasing health-care costs in industrialised countries. As the prevalence and severity of allergic diseases are connected with the concentrations of airborne pollen, an universal model predicting the intensity of the coming flowering would be a valuable tool for pollen information services, and ultimately for allergic people and allergologists. We investigated whether a resource budget model created in Japan explains the fluctuations in the annual pollen sums of Betula-species in north European data sets (10-12 years at 4 sites, 20 years at 10 sites). Using the shorter data sets, the model explained 76-92% of the annual fluctuations at five study sites. Using the 20-year data set, the percentage for southern Finland was much lower, only 48%, compared with the 85% of the 12-year data set. The annual pollen sums have been higher during the 1990s than in the 1980s, which may explain the ineffectiveness of the model, while applied to the 20-year data set. Our results support the resource budget model: the masting of birch species is regulated by weather factors together with the system of resource allocation among years. The model can serve pollen information service. However, only the 10 most recent years should be used to avoid interference from trends in changing vegetation and/or climate.
authors.affiliation: Department of Biology, Aerobiology Unit, University of Turku, 20014 Turku, Finland. hanranta@utu.fi
authors.forename: Hanna
authors.initials: H
authors.lastname: Ranta
authors.forename: Annukka
authors.initials: A
authors.lastname: Oksanen
authors.forename: Tatu
authors.initials: T
authors.lastname: Hokkanen
authors.forename: Kristoffer
authors.initials: K
authors.lastname: Bondestam
authors.forename: Saini
authors.initials: S
authors.lastname: Heino
mesh_terms: D029662:Betula / Q000254:growth & development*; D016208:Databases, Factual; D005060:Europe; D006801:Humans; D008685:Meteorological Concepts; D008954:Models, Biological; D011058:Pollen / Q000009:adverse effects; D012621:Seasons; D013997:Time Factors