Non-native plant species in alder-dominated forests in Slovakia: what does the regional- and the local-scale approach bring?

Pub Date : 2020-11-01 DOI:10.2478/foecol-2020-0012
M. Slezak, Štefánia Farkašovská, R. Hrivnák
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引用次数: 3

Abstract

Abstract European riparian forests are in general susceptible to plant invasions compared to other natural forest habitats. Their descriptive vegetation overviews with phytosociological affiliation contain detail insight into species composition patterns at various geographical scales, but quantitative assessment of the relationship between non-native plant richness and measured environmental variables is still scarce. We used two vegetation datasets of alder-dominated forests to analyse plant invasion patterns in the Pannonian and the Carpathian region of Slovakia. A large dataset of 918 vegetation plots was used at the regional scale, whereas 40 vegetation plots completed by ecological (mainly soil, climatic) predictors were used at the local scale in order to determine how they shape non-native species richness. We found significant differences (P < 0.05) between the Pannonian and the Carpathian region in the number of non-native vascular plants at both scales, with altitude being the most important predictor. Generalized Linear Models accounted for 56.6% and 59.6% of alien species richness data in the Pannonian and Carpathian region, respectively. Alien richness was affected by altitude and soil pH in the Pannonian region, but only by altitude in the Carpathian region.
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斯洛伐克桤木为主的森林中的非本地植物物种:区域和地方尺度的方法带来了什么?
摘要与其他天然森林栖息地相比,欧洲河岸林通常容易受到植物入侵的影响。他们从植物社会学角度对植被进行了描述性概述,详细介绍了不同地理尺度下的物种组成模式,但对非本地植物丰富度与测量环境变量之间关系的定量评估仍然很少。我们利用两个桤木为主的森林植被数据集,分析了斯洛伐克潘诺尼亚和喀尔巴阡地区的植物入侵模式。在区域尺度上使用了918个植被样地的大型数据集,而在局部尺度上使用了40个由生态(主要是土壤和气候)预测因子完成的植被样地,以确定它们如何影响非本地物种丰富度。研究发现,潘诺尼亚和喀尔巴阡地区在两个尺度上的外来维管植物数量差异显著(P < 0.05),海拔高度是最重要的预测因子。广义线性模型分别占潘诺尼亚和喀尔巴阡地区外来物种丰富度数据的56.6%和59.6%。外来物种丰富度在潘诺尼亚地区受海拔和土壤pH的影响,而在喀尔巴阡地区仅受海拔的影响。
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