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Identifying habitats and corridors of an invasive plant, Ageratina altissima , in an urban forest
Landscape and Ecological Engineering ( IF 1.7 ) Pub Date : 2019-06-27 , DOI: 10.1007/s11355-019-00381-y
Wanmo Kang , Youngkeun Song , Dongkun Lee , GoWoon Kim , Heemyung Chae

The spread of invasive plants in urban forests is of great concern to land managers and ecologists. Here, we analyse the distribution pattern and potential occurrence of a problematic invasive plant, Ageratina altissima, on Mt. Umyeon, in the Seoul metropolitan area of South Korea, using multiple species distribution modelling with geographic information system layers and a time series of Landsat 8 satellite imagery data. Also, we identify this species’ potential dispersal corridors using a network-based landscape lattice approach. All five species distribution models performed well with a range of test area under the receiver operating characteristic curve values of 0.843–0.899 with an average of 0.876. Distance from trails had the greatest effect on its occurrence probability, and generally exerted a negative influence within ca. 20 m of trails, indicating that urban forest trails facilitate the spread of invasive plants. Of the remote sensing-based predictors used, 7 August 2016 tasselled cap brightness index was an important variable having a negative effect on the presence of A. altissima. Elevation generally had a positive effect on its presence, although it was less important than tasselled cap brightness index. We explicitly detected the distribution pattern of high invasion risk corridors, mostly located on or around trails, which follow the central ridgeline of the study area. The results and approaches employed here can be useful for understanding, monitoring, and predicting invasive plant distribution and spread for the management of urban natural resources and biodiversity conservation.

中文翻译:

识别城市森林中入侵植物Ageratina altissima的栖息地和走廊

入侵管理植物在城市森林中的传播引起土地管理者和生态学家的极大关注。在这里,我们分析有问题的入侵植物Ageratina altissima的分布模式和潜在发生,在山上。位于韩国首尔都会区的Umyeon使用具有地理信息系统层和Landsat 8卫星图像数据的时间序列的多种物种分布建模。此外,我们使用基于网络的景观格方法识别该物种的潜在扩散走廊。在接收器的工作特性曲线值为0.843–0.899且平均值为0.876的条件下,所有五个物种分布模型的测试区域范围均良好。距路径的距离对其发生概率的影响最大,并且通常在ca内产生负面影响。20 m的步道,表明城市森林步道促进了入侵植物的扩散。在使用的基于遥感的预测器中,altissima。海拔通常对其存在有积极影响,尽管它不如流苏的帽子亮度指数重要。我们明确地发现了高入侵风险走廊的分布模式,这些走廊大多位于沿着研究区域的中央山脊线的小径上或附近。这里采用的结果和方法对于理解,监测和预测入侵植物的分布和传播,对于管理城市自然资源和生物多样性保护很有用。
更新日期:2019-06-27
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