Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Recolector de Cienci...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
DIGITAL.CSIC
Article . 2023
Data sources: DIGITAL.CSIC
versions View all 6 versions
addClaim

A population model to describe the distribution and seasonal dynamics of the tick Hyalomma marginatum in the Mediterranean Basin.

Authors: Estrada-Peña, A.; Martínez Avilés, Marta; Muñoz, M. J.;

A population model to describe the distribution and seasonal dynamics of the tick Hyalomma marginatum in the Mediterranean Basin.

Abstract

A dynamic population model of Hyalomma marginatum, the vector of several pathogens in the western Palearctic, was developed to simulate effects of temperature and water vapour deficit (VD) on tick survival, development rates and seasonality. Base tick survival and development rates were obtained from laboratory-controlled experiments or calculated from reported data. These rates were modelled as temperature-dependant time delays or accumulated mortality by temperature and water VD stress. Using daily data derived from a gridded data set at 10-min resolution, the model reached stable and cyclical equilibria in an area that corresponds largely with the reported distribution of the tick in western Palearctic. The model did not identify a potential range of suitable climate for the tick out of the known distribution area, implying that under current climate conditions, there is no potential to spread at the spatial scale of the model. Tick die-out at northern latitudes was attributed to a steady increase in duration of the development rates of engorged nymphs to adults and hence increased mortality in this stage. Low developmental rates in northern latitudes produced the accumulation of most of the nymphal stock in late summer and early autumn, which cannot moult to adults because of the low temperatures of late autumn and winter. The tick did not produced self-sustained populations in areas where yearly accumulated temperatures were below 3000-4000 °C, a limit roughly found at latitudes north of 47 ºN. Tick die-out in sites southern to 34 ºN was attributed to the mortality rates of engorged nymphs, which moult in late spring and summer, in the season where temperatures and water vapour stresses were highest. These findings and future applications of the model in investigating the dynamics of pathogens potentially transmitted by H. marginatum are discussed.

Country
Spain
Keywords

Population Density, Geography, Mediterranean Region, Hyalomma marginatum, Seasonality, Simulation models, Models, Biological, Ticks, Animals, Regression Analysis, Seasons, Mortality, Net growth rate

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    61
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
61
Top 10%
Top 10%
Top 10%
Green