Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

The Goldilocks principle: Finding the balance between water volume and nutrients for ovipositing Culex mosquitoes (Diptera: Culicidae)

  • Noah C. Weidig ,

    Contributed equally to this work with: Noah C. Weidig, Amber L. Miller, Allison T. Parker

    Roles Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Visualization, Writing – original draft, Writing – review & editing

    Affiliation Department of Biological Sciences, Northern Kentucky University, Highland Heights, Kentucky, United States of America

  • Amber L. Miller ,

    Contributed equally to this work with: Noah C. Weidig, Amber L. Miller, Allison T. Parker

    Roles Data curation, Funding acquisition, Investigation, Methodology, Writing – original draft, Writing – review & editing

    Affiliation Department of Biological Sciences, Northern Kentucky University, Highland Heights, Kentucky, United States of America

  • Allison T. Parker

    Contributed equally to this work with: Noah C. Weidig, Amber L. Miller, Allison T. Parker

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Writing – original draft, Writing – review & editing

    parkera10@nku.edu

    Affiliation Department of Biological Sciences, Northern Kentucky University, Highland Heights, Kentucky, United States of America

Abstract

Females of container-breeding mosquito species use visual and chemical cues to determine suitable habitats to oviposit their eggs. Female Culex mosquitoes oviposit single egg rafts containing hundreds of eggs on the surface of water in container habitats. In this project, the effects of water volume and nutrient concentration were studied using three semi-controlled field assays to determine the role these parameters play on female Culex mosquito oviposition preference. The results of this study suggest female Culex prefer to oviposit in larger volumes of water and higher concentrations of nutrients separately, but chose intermediate conditions when presented with a combination of these two variables, which follows the Goldilocks principle. This choice may provide their offspring with optimal conditions for development by reducing intraspecific competition, thereby maximizing the biological fitness of the ovipositing Culex females.

Introduction

The Goldilocks principle is a phenomenon in which organisms select the intermediate value when presented with choices along a gradient [1, 2]. This principle is named after the tale, Goldilocks and the Three Bears. In this fairytale, Goldilocks comes across a house in the woods and tries out each of the three family member’s chairs, beds, and porridge. Goldilocks repeatedly chooses the option that falls not at either extreme of the range, but directly in the middle (“just right”). The Goldilocks Principle has been observed widely across the animal kingdom, including in insects [14]. For example, Enjin et al. (2016) demonstrated that Drosophila melanogaster prefer moderate humidity when presented with a range of humidity levels suggesting that the humidity preference for this fly species is in the intermediate range between too wet and too dry [3]. While the Goldilocks Principle has been observed in a range of animals, including insects, it has not been documented in mosquitoes.

Females of container-breeding mosquito species oviposit in a wide range of container habitats from naturally occurring tree holes to man-made flowerpots and garbage cans [58]. The resulting mosquito larvae developing within these container habitats compete for space and nutritional resources. The density of larvae and intensity of competition for space and nutritional resources within the container can affect adult life history traits including survival to adulthood, adult body size, and longevity [913]. Thus, it is important for the ovipositing females to select the optimum conditions within the container habitat to ensure survival to adulthood for their resulting offspring.

Oviposition choice is influenced by several environmental factors such as the volume and depth of water in the container, the nutrient concentration of that water, and the presence or absence of other mosquito larvae [5, 14, 15] The concentration of nutrients within a container habitat strongly affects oviposition choice. High nutrient concentrations provide ample resources for larval growth and development while minimizing intraspecific and interspecific competition [1619]. However, excess nutrients can lead to high levels of microbial activity, creating biofilms that cover the surface of the water and prevent larval respiration [20]. Too little nutrients can hinder larval development, increase intraspecific and interspecific competition for nutrients, and lead to starvation [17, 18]. The volume and depth of water within the container can also influence oviposition choice [21, 22]. Too much water can lead to water spillover, and therefore potential spillover of larvae, out of the container during rain events [23]. Too little water can increase competition for space and food resources or lead to evaporation [24, 25]. The volume of water can also impact the concentration of nutrients within the habitat. Larger volumes of water can disperse nutrients decreasing the nutrient concentration whereas smaller volumes of water can create higher concentrations of nutrients even if the total nutrient availability is equal in both volumes of water [18]. Female mosquitoes must consider the interaction between nutrient availability and water volume when deciding which environment provides optimal resources for larval development.

Culex mosquitoes are container-breeding mosquitoes that oviposit a single egg raft on the surface of the water each gonotrophic cycle [26]. Egg rafts generally contain between 100 and 300 eggs [27]. Since Culex females lay all their eggs in one container, selecting the best habitat for all of her offspring to develop is key to increasing her fitness. Female Culex can sense numerous visual and olfactory cues of the container and water within the container, including water volume and nutrient concentration [28, 29]. Previous research suggests that female Culex prefer to oviposit in larger containers with greater volumes of water [6, 30], but some studies show that this preference is negated if nutrient levels are too low [19]. Since Culex females take both water volume and nutrients into consideration when deciding where to lay their eggs, females could be selecting the habitat that is “just right” for both water volume and nutrient concentration thereby following the Goldilocks Principle.

In this study, we examine how the interaction of water volume and nutrient concentration in identical container habitats influence female Culex oviposition choice. We hypothesized that females would examine both water volume and nutrient concentration and select the optimum combination of the two following the Goldilocks principle. Understanding how this interaction impacts female Culex oviposition choice provides deeper insight into the ecology of these mosquitoes.

Materials and methods

Ethics statement

Field collection and handling of mosquito eggs were conducted under a permit granted by the Northern Kentucky University: Research and Education Field Station (REFS) and the Campbell County Conservation District. All handling of mosquito eggs was conducted in accordance with institutional ethical standards.

Study design

Three semi-controlled field assays were conducted at the Northern Kentucky University Research and Education Field Station (REFS), in Melbourne, Kentucky. At each of the fifteen field sites (each assay was conducted independently at five different sites), three container habitats (19-liter, white, cylindrical buckets) were evenly spaced in a triangle. To induce oviposition by Culex females, containers were filled with grass infusion to a predetermined water volume (6 liters (15 cm deep), 12 liters (25 cm deep), 18 liters (35 cm deep), depending on the assay). Three nutrient levels of Bermuda grass infusion were made using dried grass clippings wrapped in cheesecloth which were steeped in 185 liters of water in a 50-gallon rain barrel. Low nutrient infusion was made using 10 grams of grass clippings. Medium nutrient infusion was made using 20 grams of grass clippings. High nutrient infusion was made using 30 grams of grass clippings. Pilot studies were conducted to ensure adequate nutrition was available in each infusion level to support larval development. If evaporation had occurred, infusion was added daily to each bucket to maintain a constant volume. Once per week and after heavy rains, old infusion was removed and new grass infusion was added to each container. The three assay designs are as follows (Fig 1):

thumbnail
Fig 1. Visual representation of the three assays examining Culex female oviposition preferences for water volume and nutrient availability.

Assay 1 examined variation in water volume (6L, 12L, 18L) using medium nutrient infusion in all containers. Assay 2 examined variation in total available nutrients (low, medium, high) across a constant water volume. Assay 3 examined variation in water volume and nutrient concentration (concentrated, moderate, dilute).

https://doi.org/10.1371/journal.pone.0277237.g001

Assay 1: Variation in water volume with a constant nutrient concentration

The first assay varied the water volume while keeping the nutrient concentration constant. At each of the five sites, one container held 6 liters of medium-nutrient grass infusion, one held 12 liters of medium-nutrient infusion, and one held 18 liters of medium-nutrient infusion.

Assay 2: Variation in nutrient concentration with a constant water volume

The second assay varied the nutrient concentration while keeping the water volume constant. At each of the five sites, all three containers had the same water volume (12 liters) but varying nutrient concentrations (low, medium, and high).

Assay 3: Variation in water volume and nutrient concentration allowing for constant total nutrient content

The third assay varied the water volume and nutrient concentration. This allowed for the total nutrient content available in the container habitat to remain constant across the treatments. At each of the five sites, one container held 6 liters of high-nutrient infusion, one held 12 liters of medium-nutrient infusion, and one held 18 liters of low-nutrient infusion (concentrated, moderate, dilute).

Every day for 12 weeks, the total number of egg rafts in each container was recorded, and a maximum of four egg rafts per container was collected for up to a total of 180 eggs rafts collected daily. All remaining egg rafts were removed from the container habitat daily. The collected egg rafts were allowed to hatch, and the emerged larvae were enumerated to species using taxonomic keys [31, 32].

Statistical analysis

Generalized linear mixed-effects models (GLMERs) were used to analyze the fixed main effect of each assay (water volume in Assay 1, nutrient concentration in Assay 2, or total nutrient content in Assay 3) and the random effects of site by date on the total number of collected egg rafts. Overdispersion was assessed for each model [33]. No overdispersion was detected for Assay 1 (variation in water volume with a constant nutrient concentration) or for Assay 3 (variation in water volume and nutrient concentration allowing for constant total nutrient content). Since no overdispersion was found for Assay 1 or Assay 3, GLMERs using a Poisson regression were used. Overdispersion was detected for Assay 2 (variation in nutrient concentration with a constant water volume), so a quasiPoisson was used. Least square mean separation tests were used to detect significant pairwise differences between the three levels of each treatment for each assay. All analyses were carried out using an alpha level of 0.05 in R (version 3.5.1, R Core Team 2018, [34]) using RStudio (RStudio, Inc. Boston, MA 2016).

Results

Assay 1: Variation in water volume with a constant nutrient concentration

The number of egg rafts laid was significantly influenced by the main effect of water volume (Table 2). Significantly fewer egg rafts were laid in the 6-liter treatment compared to the 12-liter and 18-liter volumes, and no significant difference was detected between the 12-liter and 18-liter volumes (Fig 2, Table 1).

thumbnail
Fig 2. Number of egg rafts laid comparing three treatments with a constant nutrient content across multiple volumes of infusion.

The three treatments in Assay 1 include 6 liters (6 liters of medium infusion), 12 liters (12 liters of medium infusion), and 18 liters (18 liters of medium infusion). Asterisks denote significant differences at P < 0.05.

https://doi.org/10.1371/journal.pone.0277237.g002

thumbnail
Table 1. Poisson regression model constructed for number of egg rafts laid in Assay 1 comparing three treatments with a varied total nutrient content, fixed nutrient concentration across multiple volumes of infusion (6 liters: 6 liters of medium infusion, 12 liters: 12 liters of medium infusion, 18 liters: 18 liters of medium infusion).

https://doi.org/10.1371/journal.pone.0277237.t001

Assay 2: Variation in nutrient concentration with a constant water volume

The number of egg rafts laid was significantly influenced by the main effect of nutrient concentration (Table 2). Significantly fewer egg rafts were laid in the low treatment compared to the medium and high treatments, and no significant difference was detected for the number of egg rafts laid between the medium and high treatments (Fig 3, Table 2).

thumbnail
Fig 3. Number of egg rafts laid comparing three treatments with a variation in nutrient concentration with a fixed water volume.

The three treatments in Assay 2 include Low (12 liters of low infusion), Medium (12 liters of medium infusion), and High (12 liters of high infusion). Asterisks denote significant differences at P < 0.05.

https://doi.org/10.1371/journal.pone.0277237.g003

thumbnail
Table 2. QuasiPoisson regression model constructed for number of egg rafts laid in Assay 2 comparing three treatments with a variation in nutrient concentration with a fixed water volume (Low: 12 liters of low infusion, Medium: 12 liters of medium infusion, High: 12 liters of high infusion).

https://doi.org/10.1371/journal.pone.0277237.t002

Assay 3: Variation in water volume and nutrient concentration allowing for constant total nutrient content

The number of egg rafts laid was significantly influenced by the main effect of total nutrient content (Table 3). The greatest number of egg rafts were laid in the moderate treatment, the second-most amount of egg rafts were laid in the concentrated treatment, and the lowest number of eggs rafts were laid in the dilute treatment (Fig 4, Table 3).

thumbnail
Fig 4. Number of egg rafts laid comparing three treatments with variation in water volume and nutrient concentration allowing for constant total nutrient content.

The three treatments in Assay 3 include Concentrated (6 liters of high infusion), Moderate (12 liters of medium infusion), and Dilute (18 liters of low infusion). Asterisks denote significant differences at P < 0.05.

https://doi.org/10.1371/journal.pone.0277237.g004

thumbnail
Table 3. Poisson regression model constructed for number of egg rafts laid in Assay 3 comparing three treatments with variation in water volume and nutrient concentration allowing for constant total nutrient content (concentrated: 6 liters of high infusion, moderate: 12 liters of medium infusion, dilute: 18 liters of low infusion).

https://doi.org/10.1371/journal.pone.0277237.t003

Discussion

The effects of nutrient concentration and water volume on oviposition choice have been studied separately in various experiments but studying the interaction between these two environmental parameters can be challenging. In this study, Culex females show that both water volume and nutrient concentration are being taken into account when deciding on the location where they oviposit their eggs. The results from this study suggest that female Culex are following the Goldilocks principle and looking for the container habitat that is the “just right” combination of water volume and nutrient concentration. Our results suggest that females showed a preference for a moderate volume of water and a medium nutrient concentration compared to high nutrients in a small volume of water or to a diluted concentration of nutrients in a large volume of water. This may be an evolutionary strategy to ensure sufficient nutrients for their offspring while preventing either the over dispersion of those nutrients in large container habitats or overcrowding and increased intraspecific competition in small volumes of water.

Previous research on the effects of water volume on oviposition choice suggests that females prefer to lay their egg rafts in larger volumes of water compared to smaller volumes. Parker et al. (2020) showed that Culex females prefer larger containers and thus larger volumes of water, and in the absence of the large containers, there was a significant decrease in the number of egg rafts laid by Culex females suggesting that the females choose to look for other, more suitable habitats [6]. However, the main limitation of this study was that there was no control for nutrients since the infusion used was the same across all container sizes. Thus, larger containers harbored more nutrients compared to smaller containers holding smaller volumes of water. In Assay 1 of this study, we found similar results where female Culex preferred to oviposit in containers with larger volumes of water, but in Assay 1, water volume was also conflated with nutrient availability with larger volumes of water having a greater amount of nutrients. Females may have been selecting containers with higher nutrient concentrations instead of larger water volumes. Additional assays in this study allowed for the examination of the interaction between these two parameters to better elucidate the driving factors in oviposition choice for Culex females.

The amount of nutrients and type of nutrients in the container habitat can also impact Culex oviposition preferences. Previous research shows that female Culex mosquitoes prefer to oviposit in containers harboring certain species of plant and animal detritus [35, 36] suggesting that females are using the chemical cues being emitted from the container habitat to determine habitat suitability for their offspring. In this project, Bermuda grass infusion was used in all treatments because it is a common plant that can enter into container habitats and grass infusion has been shown to be attractive to Culex mosquitoes [36, 37]. Using the same grass infusion across all containers and trials ensured that chemical cues from different plant species were not eliciting the observed oviposition choices. Oviposition rates have also been shown to be significantly higher in containers with higher nutrient concentrations of the same food resources [19, 38] suggesting that female Culex are inspecting both the strength and type of chemical cues being emitted from a container habitat. In Assay 2 of this project, water volume was held constant while nutrient concentration was varied. Our results suggest that females preferentially oviposit in containers with medium and high nutrient concentrations compared containers with low nutrient concentration when water volume is held constant. This shows that Culex females are taking nutrient concentration into consideration when deciding where to oviposit.

In addition to chemical cues, visual cues, such as water color and depth, also play an important role in oviposition choice for female mosquitoes. Water color may be an indication of the concentration of nutrients in the container habitat or of the water volume. Culex females have been shown to preferentially oviposit in containers with darker colored water suggesting that females may be using this visual cue as an initial indicator of nutrient concentration [39, 40]. Color of the container habitat has been shown to impact oviposition choice among female mosquitoes with females preferring darker-colored containers [41]. In this project, all the containers were white, which may have impacted the results of the study as Culex females may be using the visual cue of the water height in relationship to the exposed height of the white container as a way to determine suitable habitats for their offspring [42]. Two major limitations of this study was that the height of the water to the top of the container and water depth was not fixed but varied with water volume with smaller volumes of water being lower in the container habitat and having a smaller depth of water and larger volumes of water coming closer to the top of the container and having a greater depth of water. A future experiment could include controlling for water surface height to eliminate variation based on water depth. This would indicate whether the height of the water in relationship to the height of the container plays a role in oviposition choice. A different result may have been observed if each container habitat had the same distance from the surface of the water to the top of the container but with different water volumes. Since water depth was also confounded with water volume, another future experiment may examine how changes in water volume while keeping water depth constant (changes in pool size) can impact oviposition choice.

Since no parental care is provided for the developing Culex larvae, the ability of adult females to select the highest quality habitat for their offspring is essential for achieving high levels of biological fitness. The results of this study show that Culex females are indeed looking at the interaction between nutrients and water volume when deciding where to oviposit. Higher nutrient content allows for faster development and greater survivorship to adulthood [17, 43]. Females may also be selecting container habitats that buffer potential competition between their offspring and other larvae developing in the container habitat. In some cases, superior competitors such as Aedes albopictus lose their competitive advantage at higher nutrient levels or due to certain nutrients being available within the container habitat [44, 45] and larger volumes of water in a habitat might allow for higher nutrient concentrations since larger volumes of water typically occur in larger container habitats. Thus, female Culex may be selecting larger volumes of water while also having sufficient nutrients to allow for a reduction in the competitive advantage of superior larval competitor leading to the observation of the Goldilocks principle for ovipositing female Culex mosquitoes. Elucidating the role of oviposition choice in the distribution of mosquito species can aid in our understanding of overall mosquitoes species distribution.

Acknowledgments

We thank the Northern Kentucky University (NKU) Research and Education Field Station for allowing us to use their space for our field sites. We thank Zach Bischoff, Mitchell Culbertson, Amy Harouna, Bridget Murray, Phat Nguyen, Brandon Riley and Regina Utz for field work and technical assistance, and Dr. Joshua T. Cooper for feedback on the experimental design and manuscript.

References

  1. 1. Sankey DWE, Shepard ELC, Biro D, Portugal SJ. Speed consensus and the ‘Goldilocks principle’ in flocking birds (Columba livia). Anim Behav. 2019;157: 105–119.
  2. 2. Heimpel GE, Asplen MK. A ‘Goldilocks’ hypothesis for dispersal of biological control agents. BioControl. 2011;56: 441–450.
  3. 3. Enjin A, Zaharieva EE, Frank DD, Mansourian S, Suh GSB, Gallio M, et al. Humidity sensing in Drosophila. Curr Biol. 2016;26: 1352–1358. pmid:27161501
  4. 4. Somero GN. The Goldilocks Principle: A unifying perspective on biochemical adaptation to abiotic stressors in the sea. Annu Rev of Mar Sci. 2022;14: 1–23. pmid:34102065
  5. 5. Leisnham PT, LaDeau SL, Saunders MEM, Villena OC. Condition-specific competitive effects of the invasive mosquito Aedes albopictus on the resident Culex pipiens among different urban container habitats may explain their coexistence in the field. Insects. 2021;12: 993. pmid:34821793
  6. 6. Parker AT, McGill K, Allan BF. Container type affects mosquito (Diptera: Culicidae) oviposition choice. J Med Entomol. 2020;57: 1459–1467. pmid:32161973
  7. 7. Low R, Boger R, Nelson P, Kimura M. GLOBE Mosquito Habitat Mapper citizen science data 2017–2020. GeoHealth. 2021;5: e2021GH000436. pmid:34712882
  8. 8. Bartlett-Healy K, Unlu I, Obenauer P, Hughes T, Healy S, Crepeau T, et al. Larval mosquito habitat utilization and community dynamics of Aedes albopictus and Aedes japonicus (Diptera: Culicidae). J Med Entomol. 2012;49: 813–824. pmid:22897041
  9. 9. Walker M, Chandrasegaran K, Vinauger C, Robert MA, Childs LM. Modeling the effects of Aedes aegypti’s larval environment on adult body mass at emergence. PLOS Comput Biol. 2021;17: e1009102. pmid:34807904
  10. 10. Bevins SN. Invasive mosquitoes, larval competition, and indirect effects on the vector competence of native mosquito species (Diptera: Culicidae). Biol Invasions. 2008;10: 1109–1117.
  11. 11. Juliano SA, Lounibos LP, O’Meara GF. A field test for competitive effects of Aedes albopictus on A. aegypti in South Florida: differences between sites of coexistence and exclusion? Oecologia. 2004;139: 583–593. pmid:15024640
  12. 12. Braks MAH, Honório NA, Lounibos LP, Lourenço-De-Oliveira R, Juliano SA. Interspecific competition between two invasive species of container mosquitoes, Aedes aegypti and Aedes albopictus (Diptera: Culicidae), in Brazil Ann Entomol Soc Am. 2004;97: 130–139.
  13. 13. Reiskind MH, Lounibos LP. Effects of intraspecific larval competition on adult longevity in the mosquitoes Aedes aegypti and Aedes albopictus. Med Vet Entomol. 2009;23: 62–68. pmid:19239615
  14. 14. Schoelitsz B, Mwingira V, Mboera LEG, Beijleveld H, Koenraadt CJM, Spitzen J, et al. Chemical mediation of oviposition by Anopheles mosquitoes: a push-pull system driven by volatiles associated with larval stages. J Chem Ecol. 2020;46: 397–409. pmid:32240482
  15. 15. Wachira SW, Ndung’u M, Njagi PGN, Hassanali A. Comparative responses of ovipositing Anopheles gambiae and Culex quinquefasciatus females to the presence of Culex egg rafts and larvae. Med Vet Entomol. 2010;24: 369–374. pmid:21058965
  16. 16. van Schoor T, Kelly ET, Tam N, Attardo GM. Impacts of dietary nutritional composition on larval development and adult body composition in the Yellow Fever mosquito (Aedes aegypti). Insects. 2020;11: 535. pmid:32824225
  17. 17. Alto BW, Muturi EJ, Lampman RL. Effects of nutrition and density in Culex pipiens. Med Vet Entomol. 2012;26: 396–406. pmid:22390256
  18. 18. Parker AT, Gardner AM, Perez M, Allan BF, Muturi EJ. Container size alters the outcome of interspecific competition between Aedes aegypti (Diptera: Culicidae) and Aedes albopictus. J Med Entomol. 2019;56: 708–715. https://doi.org/10.1093/jme/tjy215.
  19. 19. Reiskind MH, Walton ET, Wilson ML. Nutrient-dependent reduced growth and survival of larval Culex restuans (Diptera: Culicidae): Laboratory and field experiments in Michigan. J Med Entomol. 2004;41: 650–656. pmid:15311456
  20. 20. Hunt CM, Collins CM, Benedict MQ. Measuring and reducing biofilm in mosquito rearing containers. Parasite Vector. 2020;13: 439. pmid:32878628
  21. 21. Wynn G, Paradise CJ. Effects of microcosm scaling and food resources on growth and survival of larval Culex pipiens. BMC Ecology. 2001;1: 3. pmid:11527507
  22. 22. Yee DA, Abuzeineh AA, Ezeakacha NF, Schelble SS, Glasgow WC, Flanagan SD, et al. Mosquito larvae in tires from Mississippi, United States: The efficacy of abiotic and biotic parameters in predicting spatial and temporal patterns of mosquito populations and communities. J Med Entomol. 2015;52: 394–407. pmid:26334813
  23. 23. Koenraadt CJM, Harrington LC. Flushing effect of rain on container-inhabiting mosquitoes Aedes aegypti and Culex pipiens (Diptera: Culicidae). J Med Entomol. 2008;45: 28–35.
  24. 24. Bartlett-Healy K, Healy SP, Hamilton GC. A model to predict evaporation rates in habitats used by container-dwelling mosquitoes. Inl Med Entom. 2011;48: 712–716. pmid:21661337
  25. 25. Sota T, Mogi M, Hayamizu E. Habitat stability and the larval mosquito community in treeholes and other containers on a temperate island. Res Popul Ecol. 1994;36: 93–104.
  26. 26. Madder DJ, Surgeoner GA, Helson BV. Number of generations, egg production, and developmental time of Culex pipiens and Culex restuans (Diptera: Culicidae) in southern Ontario. J Med Entomol. 1983;20: 275–287. pmid:6876091
  27. 27. Vinogradova EB. Culex Pipiens Pipiens mosquitoes: Taxonomy, distribution, ecology, physiology, genetics, applied importance and control. Pensoft Publishers; 2000.
  28. 28. Dhanalakshmi P, Sankaraiyah K, Kavipriya J, Vijayalakshmi MNV. Distribution of sensory structures on antennae of female Culex mosquito: A SEM study. J Entomol Zool Stud. 2018;6: 1900–1903.
  29. 29. Ortiz-Perea N, Gander R, Abbey O, Callaghan A. The effect of pond dyes on oviposition and survival in wild UK Culex mosquitoes. Lorenzo MG, editor. PLoS ONE. 2018;13: e0193847. pmid:29590133
  30. 30. Daniels S, Ezeakacha NF, Yee DA. Interspecific interactions between adult Aedes albopictus and Culex quinquefasciatus (Diptera: Culicidae). J Med Entomol. 2016;53: 466–469. pmid:26628685
  31. 31. Ross HH, Horsffall WR. A synopsis of the mosquitoes of Illinois (Diptera, Culicidae). Biological Notes. 1965; 50.
  32. 32. Andreadis TG. Identification guide to the mosquitoes of Connecticut. Connecticut Agricultural Experiment Station. 2005.
  33. 33. Korner-Nievergelt F, Roth T, von Felten S, Guelat J, Almasi B, Korner-Nievergelt P. blmeco: Data files and functions accompanying the book “Bayesian data analysis in ecology using R, BUGS and Stan.” 2019. Available: https://CRAN.R-project.org/package=blmeco.
  34. 34. R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing. 2018.
  35. 35. Gardner AM, Allan BF, Frisbie LA, Muturi EJ. Asymmetric effects of native and exotic invasive shrubs on ecology of the West Nile virus vector Culex pipiens (Diptera: Culicidae). Parasite Vector. 2015;8: 329. pmid:26076589
  36. 36. Jackson BT, Paulson SL, Youngman RR, Scheffel SL, Hawkins B. Oviposition preferences of Culex restuans and Culex pipiens (Diptera: Culicidae) for selected infusions in oviposition traps and gravid traps. J Am Mosq Control Assoc. 2005;21: 360–365.
  37. 37. Millar JG, Chaney JD, Mulla MS. Identification of oviposition attractants for Culex quinquefasciatus from fermented Bermuda grass infusions. J Am Mosq Control Assoc. 1992;8: 11–17.
  38. 38. Reiskind MH, Wilson ML. Culex restuans (Diptera: Culicidae) oviposition behavior determined by larval habitat quality and quantity insSoutheastern Michigan. J Med Entomol. 2004;41: 179–186. pmid:15061276
  39. 39. Li J, Deng T, Li H, Chen L, Mo J. Effects of water color and chemical compounds on the oviposition behavior of gravid Culex pipiens pallens females under laboratory conditions. J Ag Urban Entomol. 2009;26: 23–30.
  40. 40. Beehler JW, Millar JG, Mulla MS. Synergism between chemical attractants and visual cues influencing oviposition of the mosquito, Culex quinquefasciatus (Diptera: Culicidae). J Chem Ecol. 1993;19: 635–644. pmid:24249007
  41. 41. Torrisi GJ, Hoback WW. Color and container size affect mosquito (Aedes triseriatus) oviposition. Northeastern Naturalist. 2013;20: 363–371.
  42. 42. Shin D, O’Meara GF, Civana A. Size of openings in water-holding containers: Impact on oviposition by Culex Mosquitoes. Insects. 2019;10: 257. pmid:31438538
  43. 43. Noori N, Lockaby BG, Kalin L. Larval development of Culex quinquefasciatus in water with low to moderate. J Vector Ecol. 2015;40: 208–220. pmid:26611953
  44. 44. Costanzo KS, Muturi EJ, Lampman RL, Alto BW. The effects of resource type and ratio on competition with Aedes albopictus and Culex pipiens (Diptera: Culicidae). J Med Entomol. 2011;48: 29–38. pmid:21337945
  45. 45. Müller R, Knautz T, Vollroth S, Berger R, Kreß A, Reuss F, et al. Larval superiority of Culex pipiens to Aedes albopictus in a replacement series experiment: prospects for coexistence in Germany. Parasite Vector. 2018;11: 80. pmid:29394910