A prediction of the beginning of the flowering of the common hazel in the Czech Republic

IF 2.2 3区 环境科学与生态学 Q2 BIOLOGY Aerobiologia Pub Date : 2022-11-10 DOI:10.1007/s10453-022-09770-7
Lenka Hájková, Martin Možný, Lenka Bartošová, Petra Dížková, Zdeněk Žalud
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Abstract

Timely information on the beginning of the flowering of important plant species of pollen allergens is consequential for the entire population due to pollen allergy and its extensive clinical impact worldwide. This paper examines the prediction of the beginning of the flowering of the common hazel (Corylus avellana) based on the PhenoClim phenological model using long-term phenological observations (1991–2020) in the Czech Republic. Furthermore, temporal and spatial evaluations of the beginning of the flowering of C. avellana were examined in different climate zones in the Czech Republic within the same period. In total, 40 phenological stations at altitudes from 155 to 743 m asl located in warm, medium warm, and cold climate zones were evaluated using the Mann–Kendall test. The beginning of the flowering of C. avellana changed progressively in timing, and the difference in the rate of shifts was between −33 and + 15 days per the entire period. An extreme shift to an earlier date was detected at stations located in a warm region (W2). In contrast, the highest shift to a later date was found at stations located in the cold climate regions (C4, C6, C7). Using the PhenoClim, the base temperature and temperature sums were calculated for the beginning of the flowering of the common hazel. As the most accurate predictor for this phenological phase and species, the maximum air temperature was determined as the best predictor based on the combination of RMSE and R2 values. The optimal start day for calculation was January 1st; the threshold (base temperature) was 2.7 °C with a temperature sum of 155.7 °C. The RMSE value was 5.46, and the MBE value was −0.93. The simulated data showed an excellent correlation with the observed data—the correlation coefficient was 0.932. The PhenoClim model results can be used in the forecast modelling of the beginning of the flowering of the common hazel in the Czech Republic.

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捷克共和国普通榛子开始开花的预测
由于花粉过敏及其在全球范围内的广泛临床影响,关于花粉过敏原重要植物物种开花开始的及时信息对整个种群都至关重要。本文利用捷克共和国的长期酚学观测(1991-2020),基于PhenoClim酚学模型,研究了普通榛子(Corylus avellana)开花开始的预测。此外,在同一时期内,在捷克共和国的不同气候区对C.avellana开花开始的时间和空间评估进行了研究。使用Mann-Kendall测试对位于温暖、中温暖和寒冷气候区的海拔155至743 m的40个气象站进行了评估。阿维拉纳的开花开始在时间上逐渐变化,变化率的差异在−33和 + 整个期间15天。在位于温暖区域(W2)的站点检测到向较早日期的极端转变。相比之下,位于寒冷气候区(C4、C6、C7)的台站向晚些时候的偏移最高。使用PhenoClim,计算了普通榛子开花开始时的基本温度和温度总和。作为该酚期和物种的最准确预测因子,基于RMSE和R2值的组合,最高气温被确定为最佳预测因子。计算的最佳开始日期是1月1日;阈值(基本温度)为2.7°C,温度总和为155.7°C。RMSE值为5.46,MBE值为-0.93。模拟数据与观测数据具有良好的相关性,相关系数为0.932。PhenoClim模型结果可用于捷克共和国普通榛子开花开始的预测建模。
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来源期刊
Aerobiologia
Aerobiologia 环境科学-环境科学
CiteScore
4.50
自引率
15.00%
发文量
37
审稿时长
18-36 weeks
期刊介绍: Associated with the International Association for Aerobiology, Aerobiologia is an international medium for original research and review articles in the interdisciplinary fields of aerobiology and interaction of human, plant and animal systems on the biosphere. Coverage includes bioaerosols, transport mechanisms, biometeorology, climatology, air-sea interaction, land-surface/atmosphere interaction, biological pollution, biological input to global change, microbiology, aeromycology, aeropalynology, arthropod dispersal and environmental policy. Emphasis is placed on respiratory allergology, plant pathology, pest management, biological weathering and biodeterioration, indoor air quality, air-conditioning technology, industrial aerobiology and more. Aerobiologia serves aerobiologists, and other professionals in medicine, public health, industrial and environmental hygiene, biological sciences, agriculture, atmospheric physics, botany, environmental science and cultural heritage.
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