Alternaria and Cladosporium fungal spore concentrations in the atmosphere of Tétouan: relationships with meteorological parameters and forecasting models

IF 2.1 3区 环境科学与生态学 Q2 BIOLOGY
Iman Hayoun, Farah Filali Ben Sidel, Ijlal Raissouni, Hassan Bouziane
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Abstract

This study aimed to predict daily concentrations of Alternaria and Cladosporium spores in Tétouan (2009–2017) and revealed their near-continuous presence with clear seasonal patterns. Monthly spore integrals (MSIn) were highest from spring to autumn. Alternaria reached its highest values mainly in May–June, with a maximum in June 2010 (5,652 spores*day/m3). Cladosporium showed its highest MSIn values mostly in October, reaching its maximum in 2014 (109,218 spores*day/m3). Since both taxa exhibited two seasonal increases each year, we delineated pre-maximum 1 from the season onset to the first maximum value, and pre-maximum 2 from the subsequent rise to the later seasonal maximum. Pre-maximum 1 showed higher mean concentrations for Alternaria, whereas Cladosporium was higher in pre-maximum 2. During pre-maximum 1, maximum (Tmax), mean and minimum temperatures showed significant positive correlations with daily concentrations of both spores. In Pre-maximum 2, temperature exhibited a significant negative correlation for Cladosporium. Correlations with other meteorological parameters were also significant in some cases. For Alternaria, the pre-maximum 1 regression model was the most accurate, explaining 47% of the variability, with Tmax as the main predictor and validation in 2015 was satisfactory. For Cladosporium, the best model explained 33.66% of the variability and likewise included Tmax as a key predictor. When validated with pre-maximum 2 data from 2016, no significant differences were found between predicted and observed values. Overall, the findings highlight the strong influence of climatic conditions on fungal spore dynamics and provide valuable insights into the ecology of airborne fungi and their potential public health implications.

长江三角洲大气中互交菌和枝孢菌孢子浓度:与气象参数和预报模式的关系
本研究旨在预测2009-2017年棉田中交替孢和枝孢孢子的日浓度,并揭示它们几乎连续存在,具有明显的季节性模式。月孢子积分(MSIn)在春季和秋季最高。交替孢主要在5 - 6月达到最高值,在2010年6月达到最大值(5652孢子*天/m3)。枝孢的MSIn值以10月最高,2014年达到最大值(109,218孢子*天/m3)。由于这两个类群每年都有两个季节的增加,我们划分了从季节开始到第一个最大值的前最大值1和从随后的上升到后一个季节最大值的前最大值2。极大值前1的交替菌平均浓度较高,而极大值前2的枝孢菌平均浓度较高。在最高前1期,最高(Tmax)、平均和最低温度与两种孢子的日浓度呈显著正相关。在前极大期2,温度与枝孢杆菌呈显著负相关。在某些情况下,与其他气象参数的相关性也很显著。对于Alternaria, pre-maximum 1回归模型最准确,解释了47%的变异性,以Tmax为主要预测因子,2015年的验证令人满意。对于枝孢菌,最好的模型解释了33.66%的变异,同样包括Tmax作为关键预测因子。当使用2016年的预最大值2数据进行验证时,发现预测值与实测值之间没有显着差异。总的来说,这些发现强调了气候条件对真菌孢子动力学的强烈影响,并为空气传播真菌的生态学及其潜在的公共卫生影响提供了有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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