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Impacts of diurnal temperature and larval density on aquatic development of Aedes aegypti

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  • Josef Zapletal
  • Madhav Erraguntla
  • Zach N Adelman
  • Kevin M Myles
  • Mark A Lawley

Abstract

The increasing range of Aedes aegypti, vector for Zika, dengue, chikungunya, and other viruses, has brought attention to the need to understand the population and transmission dynamics of this mosquito. It is well understood that environmental factors and breeding site characteristics play a role in organismal development and the potential to transmit pathogens. In this study, we observe the impact of larval density in combination with diurnal temperature on the time to pupation, emergence, and mortality of Aedes aegypti. Experiments were conducted at two diurnal temperature ranges based on 10 years of historical temperatures of Houston, Texas (21–32°C and 26.5–37.5°C). Experiments at constant temperatures (26.5°C, 32°C) were also conducted for comparison. At each temperature setting, five larval densities were observed (0.2, 1, 2, 4, 5 larvae per mL of water). Data collected shows significant differences in time to first pupation, time of first emergence, maximum rate of pupation, time of maximum rate of pupation, maximum rate of emergence, time of maximum rate of emergence, final average proportion of adult emergence, and average proportion of larval mortality. Further, data indicates a significant interactive effect between temperature fluctuation and larval density on these measures. Thus, wild population estimates should account for temperature fluctuations, larval density, and their interaction in low-volume containers.

Suggested Citation

  • Josef Zapletal & Madhav Erraguntla & Zach N Adelman & Kevin M Myles & Mark A Lawley, 2018. "Impacts of diurnal temperature and larval density on aquatic development of Aedes aegypti," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-16, March.
    • Handle: RePEc:plo:pone00:0194025
    DOI: 10.1371/journal.pone.0194025
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    References listed on IDEAS

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    1. Erickson, Richard A. & Presley, Steven M. & Allen, Linda J.S. & Long, Kevin R. & Cox, Stephen B., 2010. "A stage-structured, Aedes albopictus population model," Ecological Modelling, Elsevier, vol. 221(9), pages 1273-1282.
    2. Erickson, Richard A. & Presley, Steven M. & Allen, Linda J.S. & Long, Kevin R. & Cox, Stephen B., 2010. "A dengue model with a dynamic Aedes albopictus vector population," Ecological Modelling, Elsevier, vol. 221(24), pages 2899-2908.
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    Cited by:

    1. Hasan T Abbas & Lejla Alic & Madhav Erraguntla & Jim X Ji & Muhammad Abdul-Ghani & Qammer H Abbasi & Marwa K Qaraqe, 2019. "Predicting long-term type 2 diabetes with support vector machine using oral glucose tolerance test," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-11, December.
    2. Abdalgader, Tarteel & Banerjee, Malay & Zhang, Lai, 2022. "Spatially weak syncronization of spreading pattern between Aedes Albopictus and dengue fever," Ecological Modelling, Elsevier, vol. 473(C).
    3. Josef Zapletal & Himanshu Gupta & Madhav Erraguntla & Zach N Adelman & Kevin M Myles & Mark A Lawley, 2019. "Predicting aquatic development and mortality rates of Aedes aegypti," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-8, May.

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