首页> 外文期刊>Grana: An International Journal of Palynology and Aerobiology >The influence of extreme high and low temperatures and precipitation totals on pollen seasons of Ambrosia, Poaceae and Populus in Szeged, southern Hungary
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The influence of extreme high and low temperatures and precipitation totals on pollen seasons of Ambrosia, Poaceae and Populus in Szeged, southern Hungary

机译:极端高温和低温和降水总量对匈牙利南部塞格德的安布罗西亚,禾本科和胡杨的花粉季节的影响

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摘要

Extreme high and low temperatures and precipitation totals may have important effect on daily and annual pollen concentrations. The aim of this study is to analyse the associations between pollen characteristics and meteorological variables, furthermore between the rank of pollen characteristics and the rank of annual values of meteorological variables for Szeged, southern Hungary. Pollen characteristics include pollen count parameters (TPA, total annual pollen amount; APC, annual peak pollen concentration) and pollen season parameters (start, end and duration of the pollen season). Meteorological variables are temperature and precipitation. The data set used covers a 14-year period (1997-2010) and contains daily values of Ambrosia (ragweed), Poaceae (grasses) and Populus (poplar) pollen concentrations, as well as those of temperature and precipitation. Both Pearson and Spearman rank correlations were calculated, because the rank correlation is less sensitive than the correlation to outliers that are in the tails of the sample. Our results suggest that Ambrosia and Populus are reversely related to temperature (negative correlations), while Poaceae exhibit a parallel relationship with precipitation (positive correlations). On the whole, pollen count characteristics (TPA and APC) indicate a decrease for Ambrosia and Poaceae, while for Populus an increase is expected.
机译:极端的高温和低温以及降水总量可能对每日和每年的花粉浓度产生重要影响。这项研究的目的是分析花粉特征与气象变量之间的关联,以及匈牙利南部塞格德的花粉特征等级与气象变量年值等级之间的关系。花粉特征包括花粉计数参数(TPA,年总花粉量; APC,年峰值花粉浓度)和花粉季节参数(花粉季节的开始,结束和持续时间)。气象变量是温度和降水。所使用的数据集涵盖14年(1997年至2010年),其中包含Ambrosia(豚草),禾本科(草)和Populus(杨)花粉浓度以及温度和降水的每日值。皮尔森和斯皮尔曼等级相关性均得到了计算,因为等级相关性比对样本尾部的离群值的相关性更不敏感。我们的结果表明,Ambrosia和Populus与温度呈负相关(负相关),而禾本科则与降水呈平行关系(正相关)。总体而言,花粉计数特征(TPA和APC)表明佳肴和禾本科的减少,而胡杨则有望增加。

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