Literature DB >> 28865899

Amblyomma ticks and future climate: Range contraction due to climate warming.

Stefan Vilges de Oliveira1, Daniel Romero-Alvarez2, Thiago Fernandes Martins3, Janduhy Pereira Dos Santos4, Marcelo B Labruna3, Gilberto Salles Gazeta5, Luis E Escobar6, Rodrigo Gurgel-Gonçalves7.   

Abstract

Ticks of the Amblyomma cajennense species complex are important vectors of spotted fever in Latin America. Environmental conditions determine the geographic distribution of ticks, such that climate change could influence the distribution of tick-borne diseases. This study aimed to analyze the potential geographic distribution of A. cajennense complex ticks in a Brazil region under present-day and future climate models, assuming dispersal limitations and non-evolutionary adaptation of these tick populations to climate warming. Records of A. cajennense sensu stricto (s.s.) and Amblyomma sculptum were analyzed. Niche models were calibrated using Maxent considering climate variables for 1950-2000 and projecting models to conditions anticipated for 2050 and 2070 under two models of future climate (CCSM4 and HadGEM2-AO). Broad suitable areas for A. cajennense s.s. and A. sculptum were found in present-day climate models, but suitability was reduced when models were projected to future conditions. Our exploration of future climates showed that broad areas had novel climates not existing currently in the study region, including novel extremely high temperatures. Indeed, predicted suitability in these novel conditions would lead to biologically unrealistic results and therefore incorrect forecasts of future tick-distribution. Previous studies anticipating expansions of vectors populations due to climate change should be considered with caution as they assume that model extrapolation anticipates that species would evolve rapidly for adaptation to novel climatic conditions.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Climate change; Ecological niche modeling; Maxent; Spotted fever; Tick-borne diseases

Mesh:

Year:  2017        PMID: 28865899     DOI: 10.1016/j.actatropica.2017.07.033

Source DB:  PubMed          Journal:  Acta Trop        ISSN: 0001-706X            Impact factor:   3.112


  4 in total

Review 1.  Seasonal dynamics of Amblyomma sculptum: a review.

Authors:  Luiza Gabriella Ferreira de Paula; Rafael Moreira do Nascimento; Artur de Oliveira Franco; Matias Pablo Juan Szabó; Marcelo Bahia Labruna; Caio Monteiro; Felipe da Silva Krawczak
Journal:  Parasit Vectors       Date:  2022-06-06       Impact factor: 4.047

2.  Modeling the Potential Future Distribution of Anthrax Outbreaks under Multiple Climate Change Scenarios for Kenya.

Authors:  Fredrick Tom Otieno; John Gachohi; Peter Gikuma-Njuru; Patrick Kariuki; Harry Oyas; Samuel A Canfield; Bernard Bett; Moses Kariuki Njenga; Jason K Blackburn
Journal:  Int J Environ Res Public Health       Date:  2021-04-15       Impact factor: 3.390

3.  Ecological niche modeling re-examined: A case study with the Darwin's fox.

Authors:  Luis E Escobar; Huijie Qiao; Javier Cabello; A Townsend Peterson
Journal:  Ecol Evol       Date:  2018-04-16       Impact factor: 2.912

4.  Scoping review of distribution models for selected Amblyomma ticks and rickettsial group pathogens.

Authors:  Catherine A Lippi; Holly D Gaff; Alexis L White; Sadie J Ryan
Journal:  PeerJ       Date:  2021-02-17       Impact factor: 3.061

  4 in total

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