title: [Comparison of predictive methods of Sugi (Cryptomeria) atmospheric pollen counts using mean temperature, solar radiation and male flowering index--an example of Toyama Prefecture].
abstract: The previous years mean temperature of July, total solar radiation of July and August and the male flowering index were used to predict atmospheric pollen counts. We examined the adaptability of these predictions and we get following results: 1. Following good harvest years of male flower, atmospheric pollen counts predicted by previous year's mean temperature of July and the total solar radiation of July and August are higher than the actual atmospheric pollen count. 2. Prediction of atmospheric pollen counts by factors within the previous five years are more exact because matured Cryptomeria forests are increasing yearly. 3. There are few errors in prediction by the flowering index because the flower index reflects the actual harvest of male flower.
authors.affiliation: Niigata University Graduate School of Science and Technology.
authors.forename: H
authors.initials: H
authors.lastname: Taira
authors.forename: H
authors.initials: H
authors.lastname: Teranishi
authors.forename: Y
authors.initials: Y
authors.lastname: Kenda
mesh_terms: D000388:Air / Q000032:analysis*; D003359:Cosmic Radiation; D005544:Forecasting / Q000379:methods*; D007564:Japan; D011058:Pollen; D019445:Solar Activity; D013696:Temperature; D014197:Trees