Visztra Georgina Veronika, Frei Kata, Hábenczyus Alida Anna, Soóky Anna, Bátori Zoltán, Laborczi Annamária, Csikós Nándor, Szatmári Gábor, Szilassi Péter
Department of Physical Geography and Geoinformatics, University of Szeged, Egyetem utca 2, H-6722 Szeged, Hungary.
Department of Ecology, University of Szeged, Közép fasor 52, H-6726 Szeged, Hungary.
Plants (Basel). 2023 Feb 14;12(4):855. doi: 10.3390/plants12040855.
Invasive tree species are a significant threat to native flora. They modify the environment with their allelopathic substances and inhibit the growth of native species by shading, thus reducing diversity. The most effective way to control invasive plants is to prevent their spread which requires identifying the environmental parameters promoting it. Since there are several types of invasive plant databases available, determining which database type is the most relevant for investigating the occurrence of alien plants is of great importance. In this study, we compared the efficiency and reliability of point-based (EUROSTAT Land Use and Coverage Area Frame Survey (LUCAS)) and polygon-based (National Forestry Database (NFD)) databases using geostatistical methods in ArcGIS software. We also investigated the occurrence of three invasive tree species (, , and ) and their relationships with soil, hydrological, and climatic parameters such as soil organic matter content, pH, calcium carbonate content, rooting depth, water-holding capacity, distance from the nearest surface water, groundwater depth, mean annual temperature, and mean annual precipitation with generalized linear models in R-studio software. Our results show that the invasion levels of the tree species under study are generally over-represented in the LUCAS point-based vegetation maps, and the point-based database requires a dataset with a larger number of samples to be reliable. Regarding the polygon-based database, we found that the occurrence of the invasive species is generally related to the investigated soil and hydrological and climatic factors.
入侵树种对本地植物群构成重大威胁。它们通过化感物质改变环境，并通过遮荫抑制本地物种的生长，从而降低生物多样性。控制入侵植物的最有效方法是防止其扩散，这需要确定促进其扩散的环境参数。由于有几种类型的入侵植物数据库可用，确定哪种数据库类型与调查外来植物的发生最相关非常重要。在本研究中，我们在ArcGIS软件中使用地统计方法比较了基于点的（欧盟统计局土地利用和覆盖面积框架调查（LUCAS））和基于多边形的（国家林业数据库（NFD））数据库的效率和可靠性。我们还在R-studio软件中使用广义线性模型研究了三种入侵树种（、和）的发生情况及其与土壤、水文和气候参数的关系，如土壤有机质含量、pH值、碳酸钙含量、生根深度、持水能力、与最近地表水的距离、地下水位、年平均温度和年平均降水量。我们的结果表明，在所研究的树种入侵水平在基于LUCAS点的植被图中通常被高估，并且基于点的数据库需要大量样本的数据集才能可靠。关于基于多边形的数据库，我们发现入侵物种的发生通常与所调查的土壤、水文和气候因素有关。
