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Distribution modeling of Amblyomma rotundatum and Amblyomma dissimile in Brazil: estimates of environmental suitability

  • Gina Polo
  • , Hermes R. Luz
  • , André Luis Regolin
  • , Thiago F. Martins
  • , Gisele R. Winck
  • , Hélio R. da Silva
  • , Valeria C. Onofrio
  • , Marcelo B. Labruna
  • , João L.H. Faccini
  • Universidade de São Paulo
  • Universidad de La Salle, Bogota
  • Universidade Federal do Maranhão
  • Universidade Estadual Paulista Júlio de Mesquita Filho
  • Colorado State University
  • Universidade Federal do Rio de Janeiro
  • Universidade Federal Rural do Rio de Janeiro
  • Instituto Butantan
  • Universidade de Santo Amaro

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

The number of reports of tick parasitism in amphibians and reptiles has increased over the past few years, including new host and location records for Amblyomma rotundatum and Amblyomma dissimile. However, knowledge of the geographical distribution remains incomplete, and in many regions of Brazil, the presence of these vectors has not been investigated. Several candidate models were built using a correlative maximum entropy approach, and best-fitting models were selected based on statistical significance, predictive ability, and complexity based on current climatic trends and future projected climate changes. Final models showed a good ability to discriminate A. rotundatum and A. dissimile current and future potential distributions. The entire country had higher predicted suitability for A. rotundatum while A. dissimile was mainly restricted to the Amazon and Pantanal biomes. A. rotundatum is a species with enormous potential for dissemination in the next decades, potentially through the legal and illegal transport of reptiles and amphibians. The proposed model is useful for targeting surveillance efforts increasing the efficiency and accuracy of future ecological research and tick management efforts.

Original languageEnglish
Pages (from-to)797-806
Number of pages10
JournalParasitology Research
Volume120
Issue number3
DOIs
StatePublished - Mar 2021
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Amphibians
  • Climate change
  • Reptiles
  • Species distribution modeling
  • Ticks

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