منابع مشابه
Multi-Year Leaf-Level Response to Sub-Ambient and Elevated Experimental CO2 in Betula nana
The strong link between stomatal frequency and CO2 in woody plants is key for understanding past CO2 dynamics, predicting future change, and evaluating the significant role of vegetation in the hydrological cycle. Experimental validation is required to evaluate the long-term adaptive leaf response of C3 plants to CO2 conditions; however, studies to date have only focused on short-term single-se...
متن کاملWinter warming as an important co-driver for Betula nana growth in western Greenland during the past century
Growing season conditions are widely recognized as the main driver for tundra shrub radial growth, but the effects of winter warming and snow remain an open question. Here, we present a more than 100 years long Betula nana ring-width chronology from Disko Island in western Greenland that demonstrates a highly significant and positive growth response to both summer and winter air temperatures du...
متن کاملThe effect of meteorological factors on airborne Betula pollen concentrations in Lublin (Poland)
The present study investigated the pattern of the birch atmospheric pollen seasons in Lublin in the period 2001-2010. Pollen monitoring was conducted using a Lanzoni VPPS 2000 sampler. The atmospheric pollen seasons were determined with the 98% method. Regression analysis was used to determine correlations between meteorological conditions and the pattern of the birch pollen season. On average,...
متن کاملArtificial neural network model of the relationship between Betula pollen and meteorological factors in Szczecin (Poland)
Birch pollen is one of the main causes of allergy during spring and early summer in northern and central Europe. The aim of this study was to create a forecast model that can accurately predict daily average concentrations of Betula sp. pollen grains in the atmosphere of Szczecin, Poland. In order to achieve this, a novel data analysis technique--artificial neural networks (ANN)--was used. Samp...
متن کاملForecasting model of Corylus, Alnus, and Betula pollen concentration levels using spatiotemporal correlation properties of pollen count
The aim of the study was to create and evaluate models for predicting high levels of daily pollen concentration of Corylus, Alnus, and Betula using a spatiotemporal correlation of pollen count. For each taxon, a high pollen count level was established according to the first allergy symptoms during exposure. The dataset was divided into a training set and a test set, using a stratified random sp...
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ژورنال
عنوان ژورنال: New Phytologist
سال: 1968
ISSN: 0028-646X,1469-8137
DOI: 10.1111/j.1469-8137.1968.tb06386.x