Institute of Biology, Freie Universität Berlin, Königin-Luise-Str. 1-3, 14195, Berlin, Germany.
Department of Biology, Humboldt-Universität zu Berlin, Invalidenstr. 42, 10115, Berlin, Germany.
Ambio. 2022 May;51(5):1314-1329. doi: 10.1007/s13280-021-01642-7. Epub 2021 Oct 28.
Directly comparable data on the environmental and socio-economic impacts of alien species informs the effective prioritisation of their management. We used two frameworks, the Environmental Impact Classification for Alien Taxa (EICAT) and Socio-Economic Impact Classification for Alien Taxa (SEICAT), to create a unified dataset on the severity and type of impacts caused by alien leporids (rabbits and hares). Literature was reviewed to collate impact data, which was categorised following EICAT and SEICAT guidelines. We aimed to use these data to identify: (1) alien leporid species with severe impacts, (2) their impact mechanisms, (3) the native species and local communities vulnerable to impacts and (4) knowledge gaps. Native species from a range of taxonomic groups were affected by environmental impacts which tended to be more damaging than socio-economic impacts. Indirect environmental impacts were particularly damaging and underreported. No impact data were found for several alien leporid species.
关于外来物种的环境和社会经济影响的直接可比数据可用于有效确定其管理的优先级。我们使用了两个框架,即外来分类单元的环境影响分类(EICAT)和外来分类单元的社会经济影响分类(SEICAT),来创建一个关于外来兔形目动物(兔子和野兔)造成的影响的严重程度和类型的统一数据集。我们查阅了文献以收集影响数据,并根据 EICAT 和 SEICAT 指南对其进行了分类。我们旨在利用这些数据来确定:(1)具有严重影响的外来兔形目物种,(2)它们的影响机制,(3)易受影响的本地物种和当地社区,以及(4)知识空白。来自多个分类群的本地物种受到环境影响的影响,这些影响往往比社会经济影响更具破坏性。间接的环境影响特别具有破坏性且报告不足。一些外来兔形目物种没有发现影响数据。