拉脱维亚外来乔灌木的现状和入侵性评价

Q4 Agricultural and Biological Sciences
G. Evarte-Bundere, P. Evarts-Bunders, A. Mežaka, Aiva Bojāre
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引用次数: 0

摘要

摘要本文介绍了拉脱维亚带注释的入侵乔灌木的最新名单。该清单包括178个分类群,收集和分析了有关这些分类群的大量信息:科、该地区的首次记录、本地范围、入侵状况、引进媒介和拉脱维亚的物种分布。在本文中,作者首次在拉脱维亚提供了一种入侵风险评估,并区分了树木和灌木的风险等级。韦伯(E. Weber)和古特(D. Gut)先前开发的方法被用于评估侵入性风险。以蔷薇科(51个类群,占28.65%)和水杨科(20个类群,占11.24%)为主。通过对入侵状况的评估,两种槭(Acer negundo L.)和Sorbaria sorbifolia (L.)其中,A. Braun)属转化植物,42种乔灌木属入侵植物。在对入侵风险进行评估后,将其划分为3个风险等级。风险最高的类别包括32种物种,它们正在威胁或可能在未来威胁拉脱维亚的自然栖息地。本研究的结果可用于进一步的树木学研究与全球变化以及实际的自然保护和园林绿化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Alien trees and shrubs of Latvia – evaluation of current status and invasiveness
Abstract This article presents an updated list of annotated invasive trees and shrubs in Latvia. This list includes 178 taxa about which extensive information has been collected and analysed: family, first records in the area, native range, invasiveness status, vector of introduction, and species distribution in Latvia. In this article, the authors, for the first time in Latvia, provided an invasiveness risk assessment and distinguished risk classes for trees and shrubs. The methodology previously developed by E. Weber and D. Gut was used to assess the risk of invasiveness. The most widely represented families in the list of invasive trees and shrubs are Rosaceae (51 taxa or 28.65%) and Salicaceae (20 taxa or 11.24%). Having assessed the invasiveness status, two species (Acer negundo L. and Sorbaria sorbifolia (L.) A. Braun) were identified as transformers, and 42 tree and shrub taxa were identified as invasive. After the assessment of the invasiveness risk, the species were divided into three risk classes. The highest risk class includes 32 taxa that are threatening or are likely to threaten natural habitats in Latvia in the future. The results of this study can be used for further dendrological studies in relation to global change and for practical nature conservation and landscape gardening.
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来源期刊
Forestry Studies
Forestry Studies Agricultural and Biological Sciences-Forestry
CiteScore
0.70
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