ArticlePloS one2018
Genetic and environmental influences on the size-fecundity relationship in Aedes albopictus (Diptera: Culicidae): Impacts on population growth estimates?
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Impact of light pollution spectra and intensity on the development and mortality of tiger mosquito (Aedes albopictus) larvae.The Journal of experimental biology · 2026Article
- Interpopulation Variation in Egg Mortality in Response to Hot and Dry Conditions in North American Populations of the Invasive Tiger Mosquito,Ecology and evolution · 2026Article
- Herring-Based Diets Provide Robust Support forInsects · 2026Article
- Role of vector phenotypic plasticity in disease transmission as illustrated by the spread of dengue virus by Aedes albopictus.Nature communications · 2024Article
- Context-specific variation in life history traits and behavior ofFrontiers in insect science · 2024Review
- Larval diet and temperature alter mosquito immunity and development: using body size and developmental traits to track carry-over effects on longevity.Parasites & vectors · 2023Article
- Mosquito thermal tolerance is remarkably constrained across a large climatic range.bioRxiv : the preprint server for biology · 2023Article
- Life history optimisation drives latitudinal gradients and responses to global change in marine fishes.PLoS biology · 2023Article
- Wing Phenotypic Variation amongInsects · 2022Article
- Dispersal patterns and population genetic structure of Aedes albopictus (Diptera: Culicidae) in three different climatic regions of China.Parasites & vectors · 2021Article
- Effects of Detritus on the MosquitoInternational journal of environmental research and public health · 2019Article
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3 authors.
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Abstract
Population growth models are integral to ecological studies by providing estimates of population performance across space and time. Several models have been developed that estimate population growth through correlates of demographic traits, as measuring each parameter of the model can be prohibitive in experimental studies. Since differences in female size can accurately reflect changes in fecundity for many taxa, Livdahl and Sugihara developed a population growth index that incorporates size-fecundity relationships as a proxy for fecundity. To investigate the extent to which this model is robust to variation of this proxy, we tested if genetic (source population), temperature and resource treatments affect the size-fecundity relationship in Aedes albopictus (Skuse), the Asian tiger mosquito. We then determined if variation in the size-fecundity relationship alters the population growth estimates, lambda (λ'), when applied to Livdahl and Sugihara's model. We performed 2 laboratory experiments in which we reared cohorts of four different geographic populations of A. albopictus across 5 temperature treatments (18, 21, 25, 18, 31°C) and three resource treatments (low, medium, high larval resources). We determined if the slope of the size-fecundity relationship varied by source population, temperature, or resource; and if variation in this relationship affects lambda (λ') estimates in a competition study between A. albopictus and Culex pipiens (Linnaeus), the northern house mosquito. Temperature treatments significantly affected the size-fecundity relationship, resource level marginally affected the relationship, while source population had no effect. We found positive relationships between size and fecundity when mosquito larvae were reared at high temperatures and low resource levels but the relationship disappeared when mosquitoes were reared at a low temperature or with high levels of resources. The variation in the size-fecundity relationship produced from different temperatures resulted in statistically different lambda (λ') estimates. However, these changes in lambda (λ') did not alter the trends in the population performance across treatments or conclusions of the competition study. This study provides evidence that the population growth model is sensitive to variation in size-fecundity relationships and we recommend biologists apply the most compatible size-fecundity relationship to the models to obtain the most accurate estimates of population performance.
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