Causes and consequences of large-scale windthrow on the development of fir-beech forests in the Dinaric mountains

IF 0.3 Q4 FORESTRY
M. Čater, Ajša Alagić, M. Ferlan, J. Jevšenak, A. Marinšek
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Abstract

We investigated several aspects of windthrow that are relevant to our understanding and management of forest ecosystems. As an example, we used an extreme event in December 2017, when the strongest storm in recent history occurred in the Slovenian Dinaric High Karst. We examined influential factors such as soil properties, wind speed, precipitation and ecological consequences for the affected forests. Soil properties were measured around standing and fallen silver fir trees at all three research sites. Tree species composition in the regeneration was observed on plots with chemical and acoustic ungulate deterrents and on control plots without deterrents. Economic estimates of yield loss due to damage were calculated at the national level. A model of the potential threat from windthrow was also developed based on data collected from windthrow events and meteorological data over the past 20 years. Our results indicate that soil depth and mineral fraction depth were similar at sites with and without damaged trees and were not the determining factors for tree toppling. Plots with acoustic deterrents showed the most effective regeneration development, the least decline in silver fir and the greatest increase in noble hardwood seedlings, while plots with chemical deterrents showed the least browsing damage. The estimated economic loss of €16.1 million is 6.6% less than the harvest under normal conditions. The economic loss was relatively low due to the nature of the storm, with the predominant type of damage being uprooted trees with no damaged trunks. The windthrow hazard model revealed that a large number of consecutive events with strong winds in each section weakened the stand, which was subsequently knocked down during the next extreme wind and rainfall event.
大规模风阻对第纳尔山脉冷杉山毛榉林发展的影响
我们调查了与我们对森林生态系统的理解和管理相关的风阻的几个方面。作为一个例子,我们使用了2017年12月的一个极端事件,当时斯洛文尼亚的Dinaric高喀斯特地区发生了近代史上最强的风暴。我们考察了土壤性质、风速、降水和受影响森林的生态后果等影响因素。在所有三个研究地点测量了直立和倒下的银杉树周围的土壤特性。在有化学和声学有蹄类阻吓剂的样地和没有阻吓剂的对照样地,观察了再生过程中的树种组成。损害造成的产量损失的经济估计是在国家一级计算的。此外,根据过去20年的风袭事件和气象资料,我们建立了一个风袭的潜在威胁模型。结果表明,在树木受损和未受损的地点,土壤深度和矿物组分深度相似,不是树木倒塌的决定因素。用声阻害剂处理的林分再生发育最有效,银杉幼苗下降最少,阔叶树幼苗增加最多,而用化学阻害剂处理的林分再生损伤最小。预计经济损失为1610万欧元,比正常情况下的收成少6.6%。由于风暴的性质,经济损失相对较低,主要损失类型是连根拔起的树木,但树干没有受损。风投危害模型显示,在每个部分连续发生的大量强风事件削弱了林分,随后在下一次极端大风和降雨事件中被击倒。
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
自引率
33.30%
发文量
2
审稿时长
10 weeks
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