Integration of flowering dates in phenology and pollen counts in aerobiology:: analysis of their spatial and temporal coherence in Germany (1992-1999)

Integration of flowering dates in phenology and pollen counts in aerobiology:: analysis of their spatial and temporal coherence in Germany (1992-1999)
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DOI:
10.1007/s00484-006-0038-7
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发表时间:
2006-09-01
影响因子:
3.2
通讯作者:
Behrendt, Heidrun
Behrendt, Heidrun
中科院分区:
地球科学3区
文献类型:
--
作者:
Estrella, Nicole;Menzel, Annette;Behrendt, Heidrun

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我们研究了在德国整合物候学中的开花日期和空气生物学中的花粉计数的可能性。利用51个设置花粉夹的站点对桦树、禾科、蒿属3种花粉类型进行了分析,并对邻近400个站点(< 25 km) 1992 ~ 1993年和1997 ~ 1999年的物候花期进行了分析。通过比较花粉季节的开始和高峰与当地最小值和植物开花的平均值,研究了这些数据集的时空一致性。研究表明,白桦花粉季节的开始时间比当地白桦花期平均早5.7 d。艾草和禾本科花粉季平均在局部开花后开始;艾草花粉在4.8 d后被发现,草花粉季节几乎在当地开花的同一天(0.6 d)开始。白桦花粉季节高峰与平均花期一致(平均花期晚0.4 d),而其他两种树种的花粉高峰出现得更晚。艾草花粉捕获量平均比当地平均花期晚15.4 d,草花粉捕获量平均比当地平均花期晚22.6 d。该研究揭示了花粉和开花日期之间的巨大时间差异,在德国各地具有不规则的空间格局。并不是所有的花粉捕获都可以用当地植被开花来解释。可能的原因包括长途运输、非物候观测物种的花粉贡献以及方法上的限制。结果表明,在利用物候学中的开花日期推断花粉数量之前,还需要进一步的研究。
We studied the possibility of integrating flowering dates in phenology and pollen counts in aerobiology in Germany. Data were analyzed for three pollen types (Betula, Poaceae, Artemisia) at 51 stations with pollen traps, and corresponding phenological flowering dates for 400 adjacent stations (< 25 km) for the years 1992-1993 and 1997-1999. The spatial and temporal coherence of these data sets was investigated by comparing start and peak of the pollen season with local minima and means of plant flowering. Our study revealed that start of birch pollen season occurred on average 5.7 days earlier than local birch flowering. For mugwort and grass, the pollen season started on average after local flowering was observed; mugwort pollen was found 4.8 days later and grass pollen season started almost on the same day (0.6 days later) as local flowering. Whereas the peak of the birch pollen season coincided with the mean flowering dates (0.4 days later), the pollen peaks of the other two species took place much later. On average, the peak of mugwort pollen occurred 15.4 days later than mean local flowering, the peak of grass pollen catches followed 22.6 days after local flowering. The study revealed a great temporal divergence between pollen and flowering dates with an irregular spatial pattern across Germany. Not all pollen catches could be explained by local vegetation flowering. Possible reasons include long-distance transport, pollen contributions of other than phenologically observed species and methodological constraints. The results suggest that further research is needed before using flowering dates in phenology to extrapolate pollen counts.