DOI: 10.1016/j.foreco.2013.12.021
Scopus记录号: 2-s2.0-84892539588
论文题名: Likelihood of establishment of tree pests and diseases based on their worldwide occurrence as determined by hierarchical cluster analysis
作者: Eschen R. ; Holmes T. ; Smith D. ; Roques A. ; Santini A. ; Kenis M.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2014
卷: 315 起始页码: 103
结束页码: 111
语种: 英语
英文关键词: Hierarchical clustering
; International trade
; Invasive Alien Species (IAS)
; Invertebrates
; Microorganisms
; Plantwise Knowledge Bank
Scopus关键词: Hier-archical clustering
; Hierarchical cluster analysis
; Invasive alien species
; Invasive species
; Invertebrates
; Knowledge bank
; Objective assessment
; Potential sources
; Biology
; Cluster analysis
; Forestry
; Hierarchical systems
; Microorganisms
; Risk perception
; International trade
; cluster analysis
; data quality
; disease control
; European Union
; international trade
; invasive species
; invertebrate
; microorganism
; pest species
; risk assessment
; Biology
; Foreign Trade
; Forestry
; Microorganisms
; Risk Assessment
; China
; Japan
; Kazakhstan
; New Zealand
; Russian Federation
; Turkey
; Ukraine
; United States
英文摘要: The trade in woody plants for planting (WP4P) is a major pathway for the introduction of alien tree pests and diseases into Europe. Pest risk analyses are important tools to prevent such introductions, but they target recognised pests, their hosts and commodities that are likely to vector them. Moreover, the perception of risk partially depends on expert judgement. Our aim was to provide an objective assessment of the likelihood of establishment and potential sources of invasive species. We analysed distribution data for 1009 invertebrate pests and pathogens of woody hosts in 344 regions. Countries and regions with similar pest assemblages were identified for each organism group using hierarchical cluster analysis and the likelihood of establishment of those species was calculated as the frequency of each species in countries within the cluster containing EU and EFTA countries ("EU countries"). Meaningful European clusters were formed for all organism groups, except oomycetes, and species were ranked by risk to each EU country. The non-EU regions with the most similar pest assemblages to the EU are the Balkan countries, Japan, Kazakhstan, New Zealand, Turkey, Ukraine, parts of China, Russia and the USA, and EPPO countries, indicating that these may be the origin of new pests and pathogens. The quality of the assessment of the likelihood of establishment depends on the quality of distribution data for pests and pathogens, but data quality varies between countries and organism groups and records are often historical. For example, the recent increase in trade and the similar climate in which WP4P for the EU market are grown in China indicates that this may be an important source of new invaders, but this was not suggested by our analysis. Moreover, most pest species in our database are recorded in one or more EU countries and the risk of these species primarily comes from within the EU. Future studies should therefore take the potential spread and establishment of these species in Europe, as well as recent changes in world trade patterns into account. © 2013 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/66107
Appears in Collections: 影响、适应和脆弱性
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作者单位: CABI, Rue des Grillons 1, 2800 Delémont, Switzerland; CABI, Nosworthy Way, Wallingford OX10 8DE, United Kingdom; INRA, UR633, Zoologie Forestière, 2163 Avenue Pomme de Pin, 45075 Orléans, France; Institute of Plant Protection, C.N.R. Via Madonna del Piano 10, 50019 Sesto Fiorentino, Italy; The IET, Michael Faraday House, Six Hills Way, Stevenage SG1 2AY, United Kingdom
Recommended Citation:
Eschen R.,Holmes T.,Smith D.,et al. Likelihood of establishment of tree pests and diseases based on their worldwide occurrence as determined by hierarchical cluster analysis[J]. Forest Ecology and Management,2014-01-01,315