Moodley Desika, Procheş Şerban, Wilson John R U
School of Environmental Sciences, University of KwaZulu-Natal, Westville Campus, Private Bag X54001, Durban 4000, South Africa Invasive Species Programme, South African National Biodiversity Institute, Kirstenbosch Research Centre, Claremont 7735, South Africa Centre for Invasion Biology, Department of Botany and Zoology, Stellenbosch University, Private Bag X1, Matieland 7602, South Africa
School of Environmental Sciences, University of KwaZulu-Natal, Westville Campus, Private Bag X54001, Durban 4000, South Africa.
AoB Plants. 2016 Mar 23;8. doi: 10.1093/aobpla/plw009. Print 2016.
Significant progress has been made in understanding biological invasions recently, and one of the key findings is that the determinants of naturalization and invasion success vary from group to group. Here, we explore this variation for one of the largest plant families in the world, the Araceae. This group provides an excellent opportunity for identifying determinants of invasiveness in herbaceous plants, since it is one of the families most popular with horticulturalists, with species occupying various habitats and comprising many different life forms. We first developed a checklist of 3494 species of Araceae using online databases and literature sources. We aimed to determine whether invasiveness across the introduction-naturalization-invasion continuum is associated to particular traits within the family, and whether analyses focussed on specific life forms can reveal any mechanistic correlates. Boosted regression tree models were based on species invasion statuses as the response variables, and traits associated with human use, biological characteristics and distribution as the explanatory variables. The models indicate that biological traits such as plant life form and pollinator type are consistently strong correlates of invasiveness. Additionally, large-scale correlates such as the number of native floristic regions and number of introduced regions are also influential at particular stages in the invasion continuum. We used these traits to build a phenogram showing groups defined by the similarity of characters. We identified nine groups that have a greater tendency to invasiveness (includingAlocasia, the Lemnoideae andEpipremnum). From this, we propose a list of species that are not currently invasive for which we would recommend a precautionary approach to be taken. The successful management of plant invasions will depend on understanding such context-dependent effects across taxonomic groups, and across the different stages of the invasion process.
近年来,在理解生物入侵方面取得了重大进展,其中一个关键发现是归化和入侵成功的决定因素因物种群而异。在此,我们针对世界上最大的植物科之一——天南星科,探究这种差异。由于天南星科是园艺学家最喜爱的植物科之一,其物种占据各种生境并包含许多不同的生活型,因此该科为确定草本植物入侵性的决定因素提供了绝佳机会。我们首先利用在线数据库和文献来源编制了一份包含3494种天南星科植物的清单。我们旨在确定在引入 - 归化 - 入侵连续体中的入侵性是否与该科内的特定性状相关,以及专注于特定生活型的分析是否能揭示任何机制关联。增强回归树模型以物种入侵状态作为响应变量,以与人类利用、生物学特征和分布相关的性状作为解释变量。模型表明,植物生活型和传粉者类型等生物学性状始终是入侵性的强相关因素。此外,诸如本土植物区系数量和引入地区数量等大规模相关因素在入侵连续体的特定阶段也具有影响力。我们利用这些性状构建了一个表现型图,展示了由性状相似性定义的类群。我们识别出九个具有更强入侵倾向的类群(包括海芋属、浮萍亚科和绿萝属)。据此,我们提出了一份目前不具入侵性的物种清单,并建议对其采取预防措施。植物入侵的成功管理将取决于理解分类群之间以及入侵过程不同阶段的这种上下文相关效应。