Aedes albopictus Populations and Larval Habitat Characteristics across the Landscape: Significant Differences Exist between Urban and Rural Land Use Types

Simple Summary More than 50% of the global population now resides in cities. In addition to large human populations, some cities support large populations of vectors, such as mosquitoes. Consequently, we have seen a resurgence in urban outbreaks of mosquito borne diseases, e.g., West Nile and dengue fever, in the last 60 years. The Asian Tiger mosquito, Aedes albopictus, is an ecologically flexible species that has colonized every continent, except Antarctica, in recent decades. In this paper, we tested the prediction that A. albopictus is more abundant in human-dominated, urban, and suburban areas compared to rural areas in a temperate US city. We collected data on mosquito abundance and other aspects of the environment important for mosquitoes and that also may vary by land use type. As predicted, we found higher densities of A. albopictus in urban and suburban areas compared to rural ones. We also found few other mosquito species, higher average temperatures, lower nitrogen levels in aquatic larval habitats, and faster water evaporation in some sample weeks. We conclude that this species is thriving in human-dominated areas in this metropolitan region, and its success may be partially due to the environmental characteristic of this habitat type. Abstract One of the most profound recent global changes has been the proliferation of urban metropolitan areas. A consequence of urbanization is a reduction in abundance, or diversity, of wildlife. One exception, is the proliferation of vectors of disease; recent years have seen the emergence and resurgence of diseases vectored by species closely associated with humans. Aedes albopictus, a mosquito with a near global range and broad ecological niche, has been described as an urban, suburban, or rural vector, or a forest edge species depending on local conditions. We tested the hypothesis that abundance and phenological patterns of this species vary among different land use types in a temperate city because of the variation in the biotic and abiotic conditions characteristic of those habitat types. A. albopictus populations in urban and suburban areas were an order of magnitude larger than in rural areas and were detected several weeks earlier in the season. Additionally, we found fewer overall mosquito species, higher temperatures, lower nitrogen, higher pH, and faster water evaporation in larval habitats in urban vs. rural areas. By understanding the ecological differences that facilitate a species in one habitat and not another, we can potentially exploit those differences for targeted control.


Introduction
The mass migration of people from small towns and rural areas into urban areas has been one of the most profound changes to the global landscape [1]. The concentration of phenological patterns will differ among three categorical land use types (urban, suburban, and rural), because attributes of artificial larval habitats will differ among these land use types. Specifically, we measured the abundance of potential competing mosquito species and predators, three water chemistry variables as proxies of habitat quality, weekly water evaporation rates, and microclimates directly next to our sample locations.

Sample Design
We sampled from four replicate oviposition cups placed at each of four urban sites, four suburban sites, and four-six rural sites (six in 2017 and four in 2018). In 2017, four of the rural sites were located at Tyson Research Center, a 2000-acre field station, and two at rural residences. The urban and suburban sites were private residences or businesses. In 2018, we had four sites in each of the three land use categories; three of the rural sites were at Tyson Research Center and one at an adjoining park. All urban sites were located within the city limits of Saint Louis with human population density ≥1500 individuals per km 2 . Suburban sites were located in townships in Saint Louis County along the Interstate 44 corridor with populations densities that ranged from 1000-1499 per km 2 . Rural sites had population densities ranging from ≤1000 per km 2 ( Figure 1). We used the Missouri House Districts map for population density (https://data-msdis.opendata.arcgis.com/datasets/mo-2011-housedistricts?geometry=-91.715%2C38.383%2C-89.629%2C38.758&orderBy=BLACK&orderByAsc= false (accessed on 10 October 2020)). In both years, four cups were placed at each site for a total of 56 individual cups in 2017 and 48 in 2018. All sites were 1 km or more apart, which is estimated to be the maximum lifetime natural dispersal of A. albopictus [57]. Mosquito larvae were sampled weekly in 2017 (20 June-5 September) and 2018 (23 May-4 September) from 1 L black plastic oviposition cups. The cups were deployed in the field on 7-12 June in 2017 and 12-13 April in 2018 and subsequently monitored for oviposition activity; samples were collected after larvae were first detected in the cups. Each cup was filled to capacity weekly with rain water but detritus was allowed to accumulate naturally with no initial additions. All cups were attached to fences or vegetation, ranging from ground level to waist height in full to partial shade. To facilitate sampling, we used a two-cup system where an outer cup with holes drilled in the top was attached with a zip-tie, with a drain hole in the bottom, and a second cup with no holes was placed inside. This allowed us to remove the inner cup and pour the entire contents into a white dishpan, remove all larvae, and return the water and detritus to the cup easily. All larvae and pupae were removed with a pipette and returned alive to the lab where they identified two species weekly. First instar larvae and pupae were housed in an environmental chamber (25 • C 16:8 L:D) until they were second instars or larger or had ecolosed as adults, for identification.

Water Chemistry and Evaporation
After the final larval sample was collected in 2017, the cups were sealed with foodgrade plastic wrap, and the entire contents were returned to the lab. We homogenized the water column and then took a sample to measure total nitrogen, total tannins (TN), and pH. TN and tannins were quantified using the Hach DR 2800 spectrophotometer (Loveland, CO, USA) following the manufacturer's protocols for Method 10071 for TN and Method 8193 for tannins. pH was measured using Eutech Instruments ecoTestr pH1 (a division of Thermo Scientific Inc., Waltham, MA, USA).

Water Chemistry and Evaporation
After the final larval sample was collected in 2017, the cups were sealed with foodgrade plastic wrap, and the entire contents were returned to the lab. We homogenized the water column and then took a sample to measure total nitrogen, total tannins (TN), and pH. TN and tannins were quantified using the Hach DR 2800 spectrophotometer (Loveland, CO, USA) following the manufacturer's protocols for Method 10071 for TN and Method 8193 for tannins. pH was measured using Eutech Instruments ecoTestr pH1 (a division of Thermo Scientific Inc., Waltham, MA).
We also measured total water volume from each cup weekly in 2018 to assess potential differences in evaporation between land use types. All cups were attached to trees, posts, or vegetation and were thus not all completely vertical leading to small differences in the maximum water volume. To account for these differences, we measured the maximum water volume for each individual cup and the water volume weekly before taking the larval sample and refilling the cup with rain water to its maximum volume. We were then able to calculate the weekly percentage water loss.

Temperature and Humidity
In 2018, we also recorded the microclimate at each site using a HOBO temperature and humidity logger placed directly next one of the cups (Onset HOBO MX2301, Bourne, MA, USA). Recordings were made every three hours from 12 April-3 September. It is well established that temperatures in urban areas are higher than those in more suburban and rural areas. Less is known about the extent of microclimactic differences collected at A. albopictus breeding sites (but see [58]). We summarized our temperature data as overall daily mean temperatures and as a histogram of the frequency, in days, that temperature differences were biologically relevant to this species (<1, 1-2, >2 °C) and daily mean relative humidity. We also measured total water volume from each cup weekly in 2018 to assess potential differences in evaporation between land use types. All cups were attached to trees, posts, or vegetation and were thus not all completely vertical leading to small differences in the maximum water volume. To account for these differences, we measured the maximum water volume for each individual cup and the water volume weekly before taking the larval sample and refilling the cup with rain water to its maximum volume. We were then able to calculate the weekly percentage water loss.

Temperature and Humidity
In 2018, we also recorded the microclimate at each site using a HOBO temperature and humidity logger placed directly next one of the cups (Onset HOBO MX2301, Bourne, MA, USA). Recordings were made every three hours from 12 April-3 September. It is well established that temperatures in urban areas are higher than those in more suburban and rural areas. Less is known about the extent of microclimactic differences collected at A. albopictus breeding sites (but see [58]). We summarized our temperature data as overall daily mean temperatures and as a histogram of the frequency, in days, that temperature differences were biologically relevant to this species (<1, 1-2, >2 • C) and daily mean relative humidity.

A. albopictus Abundance
We analyzed differences in A. albopictus abundance with a generalized linear mixed model (GLMM), using the negative binomial error distribution, with year, land use type (urban, suburban, rural), sample week, and all two-way interactions as categorical main effects with site as a random effect. A. albopictus abundance from the four individual cups at each site were summed for a single value per site, per sample week. We included sample week as a main effect, as we determined a priori that abundances would non-Insects 2021, 12,196 5 of 18 randomly change through time based on phenological patterns from previously published studies [59,60]. For this formal statistical analysis, we only included the 12 weeks that were sampled in both years (20 June-5 September). We also ran separate analyses for both years to obtain least squares means with the full 2018 data set and explore potential phenological differences in A. albopictus abundance between land use types. There were very few observations of any species other than A. albopictus in urban and suburban cups, so no formal statistical tests were performed on these species. Instead we present a table of the total numbers collected of each species by land use type (Table 1).

Water Chemistry and Evaporation
For the 2017 water chemistry data, which were only quantified once after the final larval sample, each cup was treated as an independent observation (56 total observations). While there were four cups placed at each site, the cups were all placed in, or under, different vegetation types and considered independent replicates of the possible larval habitat conditions created in each land use type. Each of the three variables (TN, tannins, and pH) were analyzed separately using a GLMM with land use type as a fixed effect and site as a random effect. Error distributions were chosen for each variable based on the best fit of the data; TN was analyzed using the lognormal error distribution, tannins and pH with the normal distribution. Tukey's correction for multiple comparisons was used where appropriate. We also ran a simple stepwise linear regression to determine if there was a relationship between the abundance of A. albopictus from each cup, summed over the entire sampling period, and either of the three water chemistry variables measured.
In 2018, water levels were recorded in each cup weekly. As with the water chemistry data, each cup was treated as an independent replicate. Percent water loss was analyzed with a GLMM with land use type, sample week, and the interaction as main effects and site as a random effect using the negative binomial error distribution.

A. albopictus Abundance
A. albopictus was significantly more abundant in urban and suburban sites, which did not differ from each other, than rural sites ( Figure 2A). Our analyses showed significant effects of year (F 1,246 = 5.11, p = 0.0247), land use type (F 2,246 = 241.65, p < 0.0001), sample week (F 11,246 = 21.63, p < 0.0001), the interactions between year and sample week (F 11,246 = 2.55, p = 0.0045), and land use type and sample week (F 22,246 = 3.11, p < 0.0001), but not year and land use type (F 2,246 = 1.71, p = 0.1830). While there was variation between years, land use types, and sample weeks ( Figure 2B,C), the overall pattern was consistent across the two study years. Additionally, there was a comparative delay in detecting A. albopictus at rural sites in both years ( Figure 2B,C). and land use type (F2,246 = 1.71, p = 0.1830). While there was variation between years, land use types, and sample weeks ( Figure 2B,C), the overall pattern was consistent across the two study years. Additionally, there was a comparative delay in detecting A. albopictus at rural sites in both years ( Figure 2B,C). There were very few instances of any other mosquito species being collected from suburban and urban cups. In 2018, several hundred Culex individuals were collected, but these were isolated events in which two individual cups had large inputs of floral detritus fouling the water and attracting Culex [61]. Even in the rural cups, few of the predatory species Toxorhynchites rutilus were collected (Table 1).

Water Chemistry and Evaporation
There was a significant effect of land use type on TN (F2, 41 = 5.30, p = 0.0090). Higher levels of TN were detected in rural cups compared to urban and suburban cups, which did not differ ( Figure 3A). The effect of land use on tannins was not significant (F2, 41 = 1.87, p = 0.1670) ( Figure 3B); however, there was a significant effect on pH (F2, 39 = 5.01, p = 0.0116). The pH was significantly higher in urban cups compared to rural cups, but the other comparisons were not significant ( Figure 3C). The stepwise regression model included the effects of TN (F = 2.59, p = 0.1140) and tannins (F = 5.19, p = 0.0269) with an adjusted R 2 of 0.1026. There was a slight, but significant negative relationship between A. albopictus abundance and tannin concentration ( Figure 3D). There were very few instances of any other mosquito species being collected from suburban and urban cups. In 2018, several hundred Culex individuals were collected, but these were isolated events in which two individual cups had large inputs of floral detritus fouling the water and attracting Culex [61]. Even in the rural cups, few of the predatory species Toxorhynchites rutilus were collected (Table 1).

Water Chemistry and Evaporation
There was a significant effect of land use type on TN (F 2,41 = 5.30, p = 0.0090). Higher levels of TN were detected in rural cups compared to urban and suburban cups, which did not differ ( Figure 3A). The effect of land use on tannins was not significant (F 2,41 = 1.87, p = 0.1670) ( Figure 3B); however, there was a significant effect on pH (F 2,39 = 5.01, p = 0.0116). The pH was significantly higher in urban cups compared to rural cups, but the other comparisons were not significant ( Figure 3C). The stepwise regression model included the effects of TN (F = 2.59, p = 0.1140) and tannins (F = 5.19, p = 0.0269) with an adjusted R 2 of 0.1026. There was a slight, but significant negative relationship between A. albopictus abundance and tannin concentration ( Figure 3D).  The main effect of land use type on percent water loss was not significant (F 2,691 = 1.22, p = 0.2970); however, the effect of sample week (F 15,691 = 30.00, p < 0.0001) and their interaction were significant (F 30,691 = 5.01, p = 0.0078) (Figure 3). There was a lot of within land use type and weekly variation in the percent of water lost from the cups, but in general, water loss was lower in rural sites compared to urban sites ( Figure 5). The main effect of land use type on percent water loss was not significant (F2, 691 = 1.22, p = 0.2970); however, the effect of sample week (F15, 691 = 30.00, p < 0.0001) and their interaction were significant (F30, 691 = 5.01, p = 0.0078) (Figure 3). There was a lot of within land use type and weekly variation in the percent of water lost from the cups, but in general, water loss was lower in rural sites compared to urban sites (Figure 4).

Temperature and Humidity
As expected, daily mean temperatures were generally higher in urban areas compared to rural ones with suburban temperatures being intermediate ( Figure 5A). We were specifically interested in the number of days throughout the mosquito breeding season that temperatures, measured at our larval sampling sites, differed in a magnitude large enough to alter development times and population growth estimates. We estimated that threshold to be 2 °C based on a laboratory study [62]. On the majority of the 145 days we recorded, daily mean temperature differences between land use types were less than 2 °C, indicating that for the majority of the spring and summer, temperature differences, when measured at the microclimatic scale, may not be large enough to affect growth rates. The largest temperature differences occurred between urban and rural sites ( Figure 5B). Daily mean humidity was also highly variable throughout the season. The greatest differences between the land use types occurred in the spring before any mosquitoes were collected. In general, humidity was highest in rural areas, and lowest in urban ones ( Figure 5C).

Temperature and Humidity
As expected, daily mean temperatures were generally higher in urban areas compared to rural ones with suburban temperatures being intermediate ( Figure 5A). We were specifically interested in the number of days throughout the mosquito breeding season that temperatures, measured at our larval sampling sites, differed in a magnitude large enough to alter development times and population growth estimates. We estimated that threshold to be 2 • C based on a laboratory study [62]. On the majority of the 145 days we recorded, daily mean temperature differences between land use types were less than 2 • C, indicating that for the majority of the spring and summer, temperature differences, when measured at the microclimatic scale, may not be large enough to affect growth rates. The largest temperature differences occurred between urban and rural sites ( Figure 5B). Daily mean humidity was also highly variable throughout the season. The greatest differences between the land use types occurred in the spring before any mosquitoes were collected. In general, humidity was highest in rural areas, and lowest in urban ones ( Figure 5C).

Discussion
The notion that the density of mosquitoes is important for predicting disease risk is at least as old as the works of Ronald Ross at the turn of the 20th century [63]. It has thus been a century long pursuit to understand the factors that determine mosquito population densities at a relevant scale, particularly for important vector species. The world's most important arbovirus vectors, and the viruses they transmit, are all closely associated with human habitation [6]. A. albopictus has achieved a nearly global distribution in recent decades, is an aggressive biter often reaching high densities, and vectors important viruses such as dengue and chikungunya [50]. In this paper, we present data that show that A. albopictus population abundance and phenology varies among three land use types. We also show that there are significant differences in artificial larval habitats; specifically, abundance of heterospecifics, water chemistry, microclimate, and hydroperiod.
We found that A. albopictus larval abundance was as much as an order of magnitude higher in suburban and urban cups compared to rural ones. There was also a significant delay in detecting A. albopictus larvae in rural cups in both years we sampled. Additionally, the general increase in abundance we observed throughout the growing season in suburban and urban cups was not achieved in rural ones, and densities always remained comparably low. This fits with the pattern observed at Tyson Research Center (one of our rural sample sites); despite a decade plus of establishment in this forest, A. albopictus is not a dominant species in artificial containers [64]. Differences in abundance by urbanrural land use classifications have been documented for this species in other geographic areas. Interestingly, there is not a consistent overall pattern throughout its global range.

Discussion
The notion that the density of mosquitoes is important for predicting disease risk is at least as old as the works of Ronald Ross at the turn of the 20th century [63]. It has thus been a century long pursuit to understand the factors that determine mosquito population densities at a relevant scale, particularly for important vector species. The world's most important arbovirus vectors, and the viruses they transmit, are all closely associated with human habitation [6]. A. albopictus has achieved a nearly global distribution in recent decades, is an aggressive biter often reaching high densities, and vectors important viruses such as dengue and chikungunya [50]. In this paper, we present data that show that A. albopictus population abundance and phenology varies among three land use types. We also show that there are significant differences in artificial larval habitats; specifically, abundance of heterospecifics, water chemistry, microclimate, and hydroperiod.
We found that A. albopictus larval abundance was as much as an order of magnitude higher in suburban and urban cups compared to rural ones. There was also a significant delay in detecting A. albopictus larvae in rural cups in both years we sampled. Additionally, the general increase in abundance we observed throughout the growing season in suburban and urban cups was not achieved in rural ones, and densities always remained comparably low. This fits with the pattern observed at Tyson Research Center (one of our rural sample sites); despite a decade plus of establishment in this forest, A. albopictus is not a dominant species in artificial containers [64]. Differences in abundance by urban-rural land use classifications have been documented for this species in other geographic areas. Interestingly, there is not a consistent overall pattern throughout its global range. For example, popula-tions are larger in urban areas in Guangdong Province, China, while suburban and rural populations are smaller and more similar in size [54]. In Brazil, A. albopictus is most abundant in peri-urban and sylvan areas or urban parks and is much less associated with urban dwellings [65]. Two major issues arise, however, when comparing patterns among regions and studies. First, researchers use different criteria to qualify land use types that are not easily comparable [66]. Second, there are many other confounding environmental variables that can predict abundance that are not accounted for, nor would it be possible to account for, in each study. One such example is neighborhood socio-economic status, which is a significant predictor of A. albopictus abundance in Baltimore, Maryland, and Washington, DC [67], but not in southeastern New York State only a few hundred kilometers away [68]. Additionally, the strength of interspecific interactions among species will vary depending on the species present [69]. A. albopictus abundance may be more depressed in urban areas when A. aegypti is present, such as in Brazil and Florida, USA [65,70]. This global variation in relative densities by habitat type makes it even more crucial to understand density patterns to inform local vector control methods.
In the Saint Louis, Mo region, we found that A. albopictus is the dominant species occupying ovicups in urban and suburban areas. In fact, outside of a few individuals of other Aedes spp. and a few instances where the water became foul due to a large input of ornamental flowers attracting Culex [61], it was the sole species collected. This is in contrast to rural habitat, where other native and non-native species were present, consistent with the hypothesis that human-dominated landscapes have lower vector diversity. Based on the data from our 1 L ovicups, it appears that these species are rare in, or have been extirpated from, metropolitan Saint Louis. Container breeding species, however, have preferences for different sized vessels [46], so it is possible that we missed other species by using only one size of cup for our samples. In fact, we have collected many Culex spp. from 8 L buckets and tires in the area and have seen the predatory T. rutilus in tree-holes in urban parks (Westby, unpublished data). Importantly, we did collect seven species using the 1 L cups at our rural sites, so we conclude that in many artificial containers in the human dominated landscape, A. albopictus faces little to no interspecific competition or predation. Saint Louis has had an established A. albopictus population likely since 1986, one of the earliest cities in the USA [71]. From the limited information available in the literature about the species that occupied containers in temperate metropolitan areas before the infestation, it appears that Aedes altropalpis, Aedes triseriatus, Culex pipiens, and Culex restuans were the dominant species [72][73][74]. It is possible that A. albopictus is responsible for the local extinction of other Aedes spp. in suburban and urban areas, something that it has not been able to accomplish in rural and sylvan habitat [64]. This supports our hypothesis that artificial containers have different biotic communities across the landscape. Future work is needed to further elucidate these findings and should include surveys and experiments using a wide range of container types and sizes (e.g., natural vs. artificial, tires vs. buckets) to fully characterize the container mosquito community across the landscape.
We also hypothesized that the abiotic conditions within artificial container habitats would differ among land use types. Microclimates at breeding and resting sites have been shown to be important in estimating population growth rates and vectorial capacity for A. albopictus in Georgia, USA [21,58]. In our study area, as expected, we found that temperatures were generally higher at urban sites compared to rural ones, with suburban sites intermediate. Most of the differences in daily mean temperatures between land use types were less than 2 • C, which may or may not be sufficient to impact growth rates. Laboratory studies examining the impact of temperature on growth rates in this species test at temperature intervals of 2-5 • C [62,75,76]. The mean temperature difference between rural and urban sites was greater than 2 • C for more than 40 days during our sampling period, which, based on laboratory studies [62], may be sufficient to increase the number of generations in a growing season for this multivoltine species. We also detected generally higher relative humidity in rural compared to urban habitat. Much less is known about how humidity affects A. albopictus (but see [77]) outside of its effects on rates of egg desiccation [78], which can be severe enough to limit population growth and impact the outcome of interspecific competition [79]. It does not appear that the humidity is low enough in our urban and suburban microclimates to have a deleterious effect, as A. albopictus populations are thriving.
Evaporation from cups was highly variable among land use types, likely driven by highly variable daily mean temperatures and humidity, or rainfall (which we did not measure). There was a significant interaction between sample week and land use type, highlighting the temporally and spatially dynamic nature of larval habitats across the landscape. In some weeks, the water loss was greater in urban vs. rural areas, and it was equivocal in other weeks. Even in weeks with overlapping errors, urban cups lost as much as 10% more water than rural cups. This could potentially lead to differences in larval growth rates [48], total habitat desiccation, especially for smaller sized containers [46,80], and differences in detritus and solute concentrations [81]. Future research is needed to explore the importance of differences in water evaporation rates across the landscape.
The importance of detritus type and amount, and soluble nutrients, for container communities is well established [82][83][84]. Detritus, which forms the base of the food web in these aquatic communities, largely determines the number of mosquito larvae a container can support to adult emergence, the outcome of interspecific competition, and even the distribution of species on a local scale [28,37,60]. Much less is known, however, about how land use type affects the quality of container habitats through effects on detritus composition and quality. Two notable exceptions found that land use type had significant effects on detritus amount, water chemistry, and mosquito community composition (urban vs. pasture [85], forested vs. unforested [86]), though these significant differences were not found for the entire breeding season [86]. In our study, we found that total nitrogen was higher in rural cups compared to suburban and urban cups; the opposite was true for pH. Similarly to Kling et al. 2007 and Leisnham et al. 2007, we found limited evidence that water chemistry was a predictor of mosquito abundance. Interestingly, the significant correlations that were observed contrasted from previous work. In one study there was a significant correlation with pH [85], phosphorus in another [86], and tannins in the present study. We observed a negative correlation between A. albopictus abundance and tannin concentration. This result is unsurprising, as tannins are generally considered detrimental to aquatic insects, precipitating protein [87], damaging gut tissues [88], prolonging larval development, and increasing mortality rates [44]. We were, however, only able to measure water chemistry once at the end of the study, so any fine-scale or temporal variation in these metrics was not captured.
It appears that, in general, water chemistry may be a poor predictor of larval mosquito abundance in the field, and in turn, of larval habitat quality. Previous work in laboratory studies has shown that nitrogen, tannins, and pH can significantly affect the performance of Aedes mosquitoes [43][44][45]83,89]. For example, the addition of soluble nitrogen had a significant positive effect on larval survival and adult mass [43], but was not a significant predictor of A. albopictus abundance in tire samples [90], suggesting that while nitrogen is important in the larval habitat, it may not vary on a biologically relevant scale in field habitats or is not limiting enough to be correlated with abundance. The abundance of mosquito larvae in individual samples is not a direct measure of habitat quality and may not accurately reflect the number of adult mosquitoes a container can produce. Nutrient ratios (C, N, and P), however, were significant predictors of larval abundance in field containers in Florida, USA, and mosquito survival in follow-up laboratory bioasssays [37], suggesting that nutrient ratios may have more explanatory power than absolute numbers. Recognizing the weaknesses in extrapolating habitat quality from a single point measurement of water chemistry, future work should include additional bioassays of habitats created in different land use types to determine if there are meaningful differences in terms of population growth potential.

Conclusions
In 2018, the CDC released a report indicating that reported cases of vector-borne diseases tripled between 2004 and 2016 (https://www.cdc.gov/vitalsigns/vector-borne/ index.html (accessed on 4 January 2021).). With the climate changing, and increasing uncertainty as to how that will affect the incidence, and new emergence, of vector-borne diseases, it is increasingly urgent that we explore the different factors that allow vectors to thrive. In this paper, we have demonstrated that an important vector species in a temperate metropolitan area shows distinct abundance and phenological patterns in rural areas compared to urban and suburban ones. This species thrives in the human dominated landscape in this region, potentially putting thousands of residents at risk. Additionally, we have shown that there are constitutive differences between artificial container characteristics among land use types, notably the presence of heterospecifics, water evaporation rates, microclimate, and some water chemistry variables. We conclude that it is important to more rigorously explore the suite of variables that keep A. albopictus populations low in rural areas in this region in hopes of exploiting that knowledge for targeted control efforts. Data Availability Statement: The data will be made publicly available in the Dryad Data Repository after publication of the manuscript.