波兰各地针叶林受根瘤蚜危害面积的天气因素

Paweł Lech, Oksana Mychayliv, Robert Hildebrand, Olga Orman
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引用次数: 0

摘要

蜜环菌根部疾病影响着世界各地的森林。它发生在许多生境中,造成受侵染林分的损失。气候条件是影响蜜环菌生长发育的重要因素。然而,蜜环菌病造成损害的发生与天气变量之间的关系仍然知之甚少。因此,我们使用广义线性混合模型来确定当前和前一年的天气条件(温度、降水及其与长期平均值的偏差、空气湿度和土壤温度)与蜜环虫引起的损害发生率之间的关系,这些损害发生在波兰选定的森林地区的幼树(20岁以下)和老树(20岁以上)针叶林中。我们使用了23年(1987-2009年)收集的蜜环菌根病对树木的损害发生率的独特数据和24年(1986-2009年)的气象参数来反映损害发生的动态和天气条件。气象参数能较好地预测年轻林分蜜环菌病造成的损害。土壤温度是最重要的预测因子,尤其是上一年生长期和当年春季的土壤温度。研究发现,前一年不同季节的温度和降水对蜜环菌影响的幼林面积的影响更为显著。每个林分的年龄等级都有一组不同的气象参数,这些参数解释了疾病发生的区域。此外,所有模型中都包含了森林面积,因此森林面积是解释蜜环菌影响林分面积的重要变量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Weather Conditions Drive the Damage Area Caused by Armillaria Root Disease in Coniferous Forests across Poland
Armillaria root disease affects forests around the world. It occurs in many habitats and causes losses in the infested stands. Weather conditions are important factors for growth and development of Armillaria species. Yet, the relation between occurrence of damage caused by Armillaria disease and weather variables are still poorly understood. Thus, we used generalized linear mixed models to determine the relationship between weather conditions of current and previous year (temperature, precipitation and their deviation from long-term averages, air humidity and soil temperature) and the incidence of Armillaria-induced damage in young (up to 20 years old) and older (over 20 years old) coniferous stands in selected forest districts across Poland. We used unique data, gathered over the course of 23 years (1987-2009) on tree damage incidence from Armillaria root disease and meteorological parameters from the 24-year period (1986-2009) to reflect the dynamics of damage occurrence and weather conditions. Weather parameters were better predictors of damage caused by Armillaria disease in younger stands than in older ones. The strongest predictor was soil temperature, especially that of the previous year growing season and the current year spring. We found that temperature and precipitation of different seasons in previous year had more pronounced effect on the young stand area affected by Armillaria. Each stand’s age class was characterized by a different set of meteorological parameters that explained the area of disease occurrence. Moreover, forest district was included in all models and thus, was an important variable in explaining the stand area affected by Armillaria.
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