A systematic review and meta-analysis of the effects of temperature on the development and survival of the Aedes mosquito

Halim, Nik Muhammad Hanif Nik Abdull; Dom, Nazri Che; Dapari, Rahmat; Salim, Hasber; Precha, Nopadol

doi:10.3389/fpubh.2022.1074028

Cited by 11 publications

(3 citation statements)

References 71 publications

(143 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Given the effects that global change (e.g., urbanization and climate change) could have on the environment and thus mosquito-borne pathogen transmission and public health, numerous studies have focused on the effects of abiotic factors, especially temperature, on mosquitoes (Mordecai et al 2019; Nik Abdull Halim et al 2022; Reinhold et al 2018; Shocket et al 2020). Temperature has non-linear (unimodal) effects on mosquito traits and their ability to transmit pathogens (Mordecai et al 2017).…”

Section: Introductionmentioning

confidence: 99%

Mosquito population dynamics is shaped by the interaction among larval density, season, and land use

Solano,

Herring,

Hintz

et al. 2024

Preprint

View full text Add to dashboard Cite

(English)Understanding how variation in key abiotic and biotic factors interact at spatial scales relevant for mosquito fitness and population dynamics is crucial for predicting current and future mosquito distributions and abundances, and the transmission potential for human pathogens. However, studies investigating the effects of environmental variation on mosquito traits have investigated environmental factors in isolation or in laboratory experiments that examine constant environmental conditions that often do not occur in the field. To address these limitations, we conducted a semi-field experiment in Athens, Georgia using the invasive Asian tiger mosquito (Aedes albopictus). We selected nine sites that spanned natural variation in impervious surface and vegetation cover to explore effects of the microclimate (temperature and humidity) on mosquitoes. On these sites, we manipulated conspecific larval density at each site. We repeated the experiment in the summer and fall. We then evaluated the effects of land cover, larval density, and time of season, as well as interactive effects, on the mean proportion of females emerging, juvenile development time, size upon emergence, and predicted per capita population growth (i.e., fitness). We found significant effects of larval density, land cover, and season on all response variables. Of most note, we saw strong interactive effects of season and intra-specific density on each response variable, including a non-intuitive decrease in development time with increasing intra-specific competition in the fall. Our study demonstrates that ignoring the interaction between variation in biotic and abiotic variables could reduce the accuracy and precision of models used to predict mosquito population and pathogen transmission dynamics, especially those inferring dynamics at finer-spatial scales across which transmission and control occur.

show abstract

Section: Introductionmentioning

confidence: 99%

Mosquito population dynamics is shaped by the interaction among larval density, season, and land use

Solano,

Herring,

Hintz

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…While various factors affect dengue transmission, meteorological indicators are important, as they affect mosquito breeding rates and virus replication rates inside mosquitoes [6]. For example, temperature and rainfall determine the optimal habitat conditions for mosquitoes [7,8]. In addition, temperature and rainfall are reported to be associated with dengue incidence in tropical regions, including Southeast Asia.…”

Section: Introductionmentioning

confidence: 99%

Association between environmental factors and dengue incidence in the Lao People’s Democratic Republic: a nationwide time-series study

Sugeno,

Kawazu,

Kim

et al. 2023

ISEE Conference Abstracts

View full text Add to dashboard Cite

Background Dengue fever is a vector-borne disease of global public health concern, with an increasing number of cases and a widening area of endemicity in recent years. Meteorological factors influence dengue transmission. This study aimed to estimate the association between meteorological factors (i.e., temperature and rainfall) and dengue incidence and the effect of altitude on this association in the Lao People's Democratic Republic (Lao PDR). MethodsWe used weekly dengue incidence and meteorological data, including temperature and rainfall, from 18 jurisdictions in Lao PDR from 2015 to 2019. A two-stage distributed lag nonlinear model with a quasi-Poisson distribution was used to account for the nonlinear and delayed associations between dengue incidence and meteorological variables, adjusting for long-term time trends and autocorrelation.Results A total of 55,561 cases were reported in Lao PDR from 2015 to 2019. The cumulative relative risk for the 90 th percentile of weekly mean temperature (29 °C) over 22 weeks was estimated at 4.21 (95% confidence interval: 2.00-8.84), relative to the 25 th percentile (24 °C). The cumulative relative risk for the weekly total rainfall over 12 weeks peaked at 82 mm (relative risk = 1.76, 95% confidence interval: 0.91-3.40) relative to no rain. However, the risk decreased significantly when heavy rain exceeded 200 mm. We found no evidence that altitude modified these associations. ConclusionsWe found a lagged nonlinear relationship between meteorological factors and dengue incidence in Lao PDR. These findings can be used to develop climate-based early warning systems and provide insights for improving vector control in the country.

show abstract

“…population dynamics 17,18 , mosquito species are strong candidates for investigations of environmental causes of spatial synchrony across different spatiotemporal scales 19 .…”

mentioning

confidence: 99%

Broadscale spatial synchrony in a West Nile virus mosquito vector across multiple timescales

Campbell,

Bauer,

Tavares

et al. 2024

Sci Rep

View full text Add to dashboard Cite

Insects often exhibit irruptive population dynamics determined by environmental conditions. We examine if populations of the Culex tarsalis mosquito, a West Nile virus (WNV) vector, fluctuate synchronously over broad spatial extents and multiple timescales and whether climate drives synchrony in Cx. tarsalis, especially at annual timescales, due to the synchronous influence of temperature, precipitation, and/or humidity. We leveraged mosquito collections across 9 National Ecological Observatory Network (NEON) sites distributed in the interior West and Great Plains region USA over a 45-month period, and associated gridMET climate data. We utilized wavelet phasor mean fields and wavelet linear models to quantify spatial synchrony for mosquitoes and climate and to calculate the importance of climate in explaining Cx. tarsalis synchrony. We also tested whether the strength of spatial synchrony may vary directionally across years. We found significant annual synchrony in Cx. tarsalis, and short-term synchrony during a single period in 2018. Mean minimum temperature was a significant predictor of annual Cx. tarsalis spatial synchrony, and we found a marginally significant decrease in annual Cx. tarsalis synchrony. Significant Cx. tarsalis synchrony during 2018 coincided with an anomalous increase in precipitation. This work provides a valuable step toward understanding broadscale synchrony in a WNV vector.

show abstract

A systematic review and meta-analysis of the effects of temperature on the development and survival of the Aedes mosquito

Cited by 11 publications

References 71 publications

Mosquito population dynamics is shaped by the interaction among larval density, season, and land use

Mosquito population dynamics is shaped by the interaction among larval density, season, and land use

Association between environmental factors and dengue incidence in the Lao People’s Democratic Republic: a nationwide time-series study

Broadscale spatial synchrony in a West Nile virus mosquito vector across multiple timescales

Contact Info

Product

Resources

About