Global analysis of the geographic distribution and establishment risk of stored Coleoptera species using a self-organizing map
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027006%3A_____%2F23%3A10176160" target="_blank" >RIV/00027006:_____/23:10176160 - isvavai.cz</a>
Result on the web
<a href="https://www.schweizerbart.de/content/papers/download/102635" target="_blank" >https://www.schweizerbart.de/content/papers/download/102635</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1127/entomologia/2023/1740" target="_blank" >10.1127/entomologia/2023/1740</a>
Alternative languages
Result language
angličtina
Original language name
Global analysis of the geographic distribution and establishment risk of stored Coleoptera species using a self-organizing map
Original language description
Storage Coleoptera species, many of which spread through intensive international trade in commodities, are important pests that threaten food safety and security. However, a global analysis of the distribution of storage pest species and an assessment of the risk of their establishment in new geographical areas has not been carried out. Thus, the aim of this work was to use a self-organizing map (SOM) to predict the risk of new occurrence and distribution of storage beetles from current occurrence data. First, we summarized the species composition of storage beetles in various countries and continents. Then, a global presence/absence dataset, including 263 stored beetles from 33 families in 171 countries, was analyzed with SOM to categorize countries based on their similarities in species assemblages. We found similar pest assemblages in geographically distant countries such as the US and China, India and South Africa, where commodity trade is high. We also identified similar pest assemblages in geographically close countries indicating a greater threat to each other (e.g., some regions of Europe or Southeast Asia were clustered together). Analysis showed that Asia, Africa, and Oceania had the highest number of unique assemblages of species. Using impact levels and the SOM approach, we ranked the risk of establishment for stored beetles to identify species that may pose new biosecurity risks for each country. The risk of new establishments was separately analyzed for Trogoderma granarium, since it is a key quarantine and invasive storage species. We suggest that further research could be conducted on the common characteristics of beetle species that co-occur in the stored commodity assemblages we have identified.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
40106 - Agronomy, plant breeding and plant protection; (Agricultural biotechnology to be 4.4)
Result continuities
Project
<a href="/en/project/LTACH19029" target="_blank" >LTACH19029: The invasive mechanisms of economically important stored insect pests endangering Chinese and European international trades and phytosanitary technical systems for their managment</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Entomologia generalis
ISSN
0171-8177
e-ISSN
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Volume of the periodical
43
Issue of the periodical within the volume
2
Country of publishing house
DE - GERMANY
Number of pages
11
Pages from-to
337-347
UT code for WoS article
000932495400001
EID of the result in the Scopus database
2-s2.0-85160632348