Invasive Species Compendium

Detailed coverage of invasive species threatening livelihoods and the environment worldwide

Datasheet

Amblyomma gemma

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Datasheet

Amblyomma gemma

Summary

  • Last modified
  • 24 November 2019
  • Datasheet Type(s)
  • Vector of Animal Disease
  • Preferred Scientific Name
  • Amblyomma gemma
  • Taxonomic Tree
  • Domain: Eukaryota
  •   Kingdom: Metazoa
  •     Phylum: Arthropoda
  •       Subphylum: Chelicerata
  •         Class: Arachnida
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    Compendia
    CAB International
    Wallingford
    Oxfordshire
    OX10 8DE
    UK
    compend@cabi.org
  • Distribution map More information

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Identity

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Preferred Scientific Name

  • Amblyomma gemma Dönitz

Taxonomic Tree

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  • Domain: Eukaryota
  •     Kingdom: Metazoa
  •         Phylum: Arthropoda
  •             Subphylum: Chelicerata
  •                 Class: Arachnida
  •                     Subclass: Acari
  •                         Order: Parasitiformes
  •                             Suborder: Ixodida
  •                                 Family: Ixodidae
  •                                     Genus: Amblyomma
  •                                         Species: Amblyomma gemma

Distribution Table

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The distribution in this summary table is based on all the information available. When several references are cited, they may give conflicting information on the status. Further details may be available for individual references in the Distribution Table Details section which can be selected by going to Generate Report.

Last updated: 10 Jan 2020
Continent/Country/Region Distribution Last Reported Origin First Reported Invasive Reference Notes

Africa

EthiopiaPresentCABI Data Mining (2001)
KenyaPresentCABI Data Mining (2001)
SomaliaPresentCABI Data Mining (2001)
TanzaniaPresentCABI Data Mining (2001)

Asia

IsraelPresentCABI Data Mining (2001)
Saudi ArabiaPresentCABI Data Mining (2001)

Europe

UkrainePresentCABI Data Mining (2001)

North America

United StatesPresentCABI Data Mining (2001)

Distribution References

CABI Data Mining, 2001. CAB Abstracts Data Mining.,

Distribution Maps

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