Szilassi Péter, Soóky Anna, Bátori Zoltán, Hábenczyus Alida Anna, Frei Kata, Tölgyesi Csaba, van Leeuwen Boudewijn, Tobak Zalán, Csikós Nándor
Department of Geoinformatics, Physical and Environmental Geography, 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). 2021 Dec 4;10(12):2670. doi: 10.3390/plants10122670.
Invasive species are a major threat to biodiversity worldwide. Controlling their rapid spread can only be effective if we consider the geographical factors that influence their occurrence. For instance, roads, railway networks, green and blue infrastructure, and elements of ecological networks (e.g., ecological corridors) can facilitate the spread of invasive species. In our study, we mapped the occurrence of five invasive plant taxa (tree of heaven, common milkweed, Russian olive, black locust, and goldenrods) in Hungary, using field photos from the EUROSTAT Land Use and Coverage Area Frame Survey (LUCAS) database from the year 2015. Species point occurrence data were compared with the spatial characteristics of linear transport infrastructure and with the green and blue infrastructure. We found that the occurrence of tree of heaven and Russian olive was strongly related to the road and railway network. The average Euclidean distance of LUCAS points infected with these species from railway embankments and roads was much smaller than that of uninfected points. However, black locust and goldenrods were more common only along the road network. According to our results, the occurrence of some investigated invasive plants was over-represented in the HEN and within Natura 2000 areas of Hungary compared to non-infected points. Our results may provide important information for predicting the rate of invasion and for applying targeted management within the HEN, and Natura 2000 protected areas.
入侵物种是全球生物多样性的主要威胁。只有考虑到影响其出现的地理因素,控制它们的快速传播才会有效。例如,道路、铁路网络、绿色和蓝色基础设施以及生态网络的要素(如生态走廊)会促进入侵物种的传播。在我们的研究中,我们利用2015年欧盟统计局土地利用和覆盖面积框架调查(LUCAS)数据库中的实地照片,绘制了匈牙利五种入侵植物类群(臭椿、乳草、沙枣、刺槐和一枝黄花)的分布图。将物种出现点数据与线性交通基础设施以及绿色和蓝色基础设施的空间特征进行了比较。我们发现,臭椿和沙枣的出现与道路和铁路网络密切相关。感染这些物种的LUCAS点到铁路路堤和道路的平均欧几里得距离比未感染点小得多。然而,刺槐和一枝黄花仅在道路网络沿线更为常见。根据我们的结果,与未感染点相比,一些被调查入侵植物在匈牙利国家生态网络(HEN)和2000自然保护区内的出现情况过多。我们的结果可能为预测入侵速度以及在HEN和2000自然保护区内实施有针对性的管理提供重要信息。