Risk prediction of Lecanosticta acicola spore abundance in Atlantic climate regions

IF 5.6 1区 农林科学 Q1 AGRONOMY Agricultural and Forest Meteorology Pub Date : 2024-12-14 DOI:10.1016/j.agrformet.2024.110360
David García-García , Nebai Mesanza , Rosa Raposo , Mª Teresa Pascual , Iskander Barrena , Amaia Urkola , Nagore Berano , Eugenia Iturritxa
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Abstract

Brown spot needle blight disease, caused by the fungus Lecanosticta acicola, affects pine trees across the northern hemisphere. In recent years, its incidence has expanded to new areas and host species. This is in association with climate change. Interest in understanding the basis of its epidemiology and proposing appropriate management measures has also increased. However, there is a lack of studies that characterise the relationship between spore abundance trends and climatic factors, which are essential to understand the spread of the disease. We collected spore abundance data for three years from 16 traps located in pine plantations over the Basque Country (north of Spain), the first European region where L. acicola was detected. A rapid change in pathogen behaviour led to serious financial losses in the forestry sector. We then modelled the relationship between spore abundance and weather variables in terms of generalised additive models. The resulting model was used to estimate the risk of disease spread over the whole area of Basque Country. We also generated a risk projection for the north of the Iberian Peninsula, an area influenced by the Atlantic climate, where the disease is currently causing severe damage. Cumulative rainfall acted as a reliable predictor of the spore abundance of the pathogen; thus, data from weather stations can be directly incorporated into early warning protocols to inform effective preventive actions.
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大西洋气候区 Lecanosticta acicola 孢子丰度的风险预测
由真菌Lecanosticta acicola引起的褐斑针叶枯病影响整个北半球的松树。近年来,其发病率已扩大到新的地区和寄主物种。这与气候变化有关。对了解其流行病学基础和提出适当管理措施的兴趣也有所增加。然而,缺乏描述孢子丰度趋势与气候因素之间关系的研究,而气候因素对于了解该病的传播至关重要。我们从位于巴斯克地区(西班牙北部)松树种植园的16个陷阱中收集了三年的孢子丰度数据,巴斯克地区是第一个检测到L. acicola的欧洲地区。病原体行为的迅速变化给林业部门造成了严重的经济损失。然后,我们根据广义加性模型模拟了孢子丰度和天气变量之间的关系。由此产生的模型被用来估计疾病在整个巴斯克地区传播的风险。我们还对受大西洋气候影响的伊比利亚半岛北部地区进行了风险预测,该地区目前正在造成严重破坏。累积降雨量是病原菌孢子丰度的可靠预测因子;因此,气象站的数据可以直接纳入预警方案,为有效的预防行动提供信息。
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来源期刊
CiteScore
10.30
自引率
9.70%
发文量
415
审稿时长
69 days
期刊介绍: Agricultural and Forest Meteorology is an international journal for the publication of original articles and reviews on the inter-relationship between meteorology, agriculture, forestry, and natural ecosystems. Emphasis is on basic and applied scientific research relevant to practical problems in the field of plant and soil sciences, ecology and biogeochemistry as affected by weather as well as climate variability and change. Theoretical models should be tested against experimental data. Articles must appeal to an international audience. Special issues devoted to single topics are also published. Typical topics include canopy micrometeorology (e.g. canopy radiation transfer, turbulence near the ground, evapotranspiration, energy balance, fluxes of trace gases), micrometeorological instrumentation (e.g., sensors for trace gases, flux measurement instruments, radiation measurement techniques), aerobiology (e.g. the dispersion of pollen, spores, insects and pesticides), biometeorology (e.g. the effect of weather and climate on plant distribution, crop yield, water-use efficiency, and plant phenology), forest-fire/weather interactions, and feedbacks from vegetation to weather and the climate system.
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