Shift in the spatial and temporal distribution of Aedes taeniorhynchus following environmental and local developments in St. Johns County, Florida

Qualls, Whitney A.; Steck, Madeline R.; Weaver, James H.; Zhang, Yong; Xue, Rui‐De; Sallam, Mohamed F.

doi:10.1007/s11273-021-09816-6

Cited by 6 publications

(6 citation statements)

References 41 publications

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“…infirmatus (floodwater mosquito) reflect the increased expansion range of the former species in response to development projects that result in changing environments especially within coastal areas of St. Johns County. This has been reported in many coastal regions in the south and central Florida, especially in brackish water habitats around mangrove areas (Qualls, et al 2021). However, some previous studies indicated Ae.…”

Section: Discussionmentioning

confidence: 53%

“…However, some previous studies indicated Ae. taeniorhynchus is a habitat specialist species in areas with low mean diurnal temperature ranges, which almost certainly reflects its coastal affinities (Fehring 1986;Qualls, et al 2021;Sallam, et al 2022;Shaman, et al 2002), where residual heating or cooling from ocean temperatures reduces onshore fluctuations in temperatures. Our results also showed that three mosquito vectors species out of 13 WNV and EEEV mosquito vectors were found to strongly depend on two climate variables (maximum temperature and annual precipitation) within 1km buffer radii only.…”

Section: Discussionmentioning

confidence: 99%

“…Equivocally, the log abundances of Ae. taeniorhynchus drastically decreased with heavy precipitation due to hurricane Irma during 2017 (Qualls, et al 2021).…”

Section: Discussionmentioning

confidence: 99%

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CO-OCCURRENCE OF MOSQUITO COMMUNITIES IN DISTURBED ENVIRONMENTS USING MARKOV RANDOM FIELDS (MRFs) IN ST. JOHNS COUNTY, FLORIDA

Qualls

Steck

Xue

et al. 2023

J FL Mosq Control Assoc

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The distribution of mosquito communities is predicted by complex micro- and macrohabitat systems. While macrohabitat variables are significant in modeling the distribution of individual mosquito species, the distribution of mosquito communities in disturbed urban and semi-urban environmental gradients was overlooked in most of the previous models. In our study, we used conditional Markov Random Fields (CRF) to evaluate spatial co-occurrence patterns between mosquito vectors of eastern equine encephalitis (EEEV) and west Nile virus (WNV) in a disturbed urban environment in Saint John’s County, Florida. We aimed to 1) quantify the strength and direction of spatial unconditional and conditional correlations between mosquito assemblages in disturbed environments, and 2) evaluate whether the strength of correlations between mosquito assemblages is conditional on landscape or climate variables. We leveraged the longitudinal surveillance effort using Biogents sentinel traps (BGS) conducted by Anastasia Mosquito Control Districts in disturbed urban environments during 2017-2020. The distribution of high mosquito abundance, especially Aedes albopictus, Ae. aegypti, Ae. vexans, Ae. taeniorhynchus, Culex nigripalpus, Cx. salinarius, and Cx. quinquefasciatus, were conditionally correlated with other EEEV and WNV vector species in reduced woody and herbaceous wetlands and evergreen forests (-54.44%), and in urban developed landscapes (3.44%) during 2019 and 2020. Moreover, conditional correlations between mosquito species pairs were positively associated with increased total precipitation and in areas with high average minimum and maximum temperatures. Our results show that the micro- and macrohabitat characteristics demonstrated spatial effects on distribution and correlations between species pairs of EEEV and WNV mosquito vectors across disturbed environments. Our findings could be used to better understand the joint effects of drivers on mosquito diversity at a specific locality, interspecific interactions among mosquito assemblages, and how this diversity changes across environmental gradients.

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Section: Discussionmentioning

confidence: 53%

Section: Discussionmentioning

confidence: 99%

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CO-OCCURRENCE OF MOSQUITO COMMUNITIES IN DISTURBED ENVIRONMENTS USING MARKOV RANDOM FIELDS (MRFs) IN ST. JOHNS COUNTY, FLORIDA

Qualls

Steck

Xue

et al. 2023

J FL Mosq Control Assoc

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“…Another species, Ae. taeniorhynchus, was most abundant in areas with low mean diurnal temperature ranges, which almost certainly reflects its coastal affinities [69][70][71], where residual heating or cooling from ocean temperatures reduces onshore fluctuations in temperatures and increases water salinity.…”

Section: Discussionmentioning

confidence: 99%

Co-occurrence probabilities between mosquito vectors of West Nile and Eastern equine encephalitis viruses using Markov Random Fields (MRFcov)

Sallam

Whitehead²,

Barve

et al. 2023

Parasites Vectors

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Mosquito vectors of eastern equine encephalitis virus (EEEV) and West Nile virus (WNV) in the USA reside within broad multi-species assemblages that vary in spatial and temporal composition, relative abundances and vector competence. These variations impact the risk of pathogen transmission and the operational management of these species by local public health vector control districts. However, most models of mosquito vector dynamics focus on single species and do not account for co-occurrence probabilities between mosquito species pairs across environmental gradients. In this investigation, we use for the first time conditional Markov Random Fields (CRF) to evaluate spatial co-occurrence patterns between host-seeking mosquito vectors of EEEV and WNV around sampling sites in Manatee County, Florida. Specifically, we aimed to: (i) quantify correlations between mosquito vector species and other mosquito species; (ii) quantify correlations between mosquito vectors and landscape and climate variables; and (iii) investigate whether the strength of correlations between species pairs are conditional on landscape or climate variables. We hypothesized that either mosquito species pairs co-occur in patterns driven by the landscape and/or climate variables, or these vector species pairs are unconditionally dependent on each other regardless of the environmental variables. Our results indicated that landscape and bioclimatic covariates did not substantially improve the overall model performance and that the log abundances of the majority of WNV and EEEV vector species were positively dependent on other vector and non-vector mosquito species, unconditionally. Only five individual mosquito vectors were weakly dependent on environmental variables with one exception, Culiseta melanura, the primary vector for EEEV, which showed a strong correlation with woody wetland, precipitation seasonality and average temperature of driest quarter. Our analyses showed that majority of the studied mosquito species’ abundance and distribution are insignificantly better predicted by the biotic correlations than by environmental variables. Additionally, these mosquito vector species may be habitat generalists, as indicated by the unconditional correlation matrices between species pairs, which could have confounded our analysis, but also indicated that the approach could be operationalized to leverage species co-occurrences as indicators of vector abundances in unsampled areas, or under scenarios where environmental variables are not informative. Graphical Abstract

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“…Land use, landscape change and fine scale meteorological variables were focal for Ae. taeniorhynchus (Qualls et al 2022) as were egg habitats and oviposition authored by Ritchie and Johnson (1991a,b) and Ritchie and Montague (1995).…”

mentioning

confidence: 98%

Temporal Pattern of Aedes Sollicitans and Aedes Taeniorhynchus in an Intertidal Wetland System, Northeastern Florida: A Literature Review

Dale,

Xue

2024

J FL Mosq Control Assoc

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Temporal and spatial patterns of mosquito species distributions are influenced by weather conditions and climate, changes in water quality, and many other factors. Aedes taeniorhynchus and Aedes sollicitans are common salt marsh mosquitoes that cause many nuisance problems for human populations. St. Johns County (north-eastern Florida) has, over the past decades, been one of the fastest growing counties in the U.S.A. This is related to changes in land use and land cover, and local climate variations. It has been recently noticed that two species, Ae. taeniorhynchus and Ae. sollicitans, switch their temporal pattern in St. Johns County. To explore factors influencing potential changes between the temporal distribution of the two species of salt marsh mosquitoes, a literature search was conducted. Based on the literature, there are many factors influencing the potential species switch or temporal patterns of the two species. These include meteorological and tidal patterns as well as land use and land cover changes. The results of the literature analysis indicate that the switch and change in temporal pattern between the two species needs to be further explored, especially with respect to temperature, tidal flooding, water quality (especially salinity), sea level rise and land use/cover.

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Shift in the spatial and temporal distribution of Aedes taeniorhynchus following environmental and local developments in St. Johns County, Florida

Cited by 6 publications

References 41 publications

CO-OCCURRENCE OF MOSQUITO COMMUNITIES IN DISTURBED ENVIRONMENTS USING MARKOV RANDOM FIELDS (MRFs) IN ST. JOHNS COUNTY, FLORIDA

CO-OCCURRENCE OF MOSQUITO COMMUNITIES IN DISTURBED ENVIRONMENTS USING MARKOV RANDOM FIELDS (MRFs) IN ST. JOHNS COUNTY, FLORIDA

Co-occurrence probabilities between mosquito vectors of West Nile and Eastern equine encephalitis viruses using Markov Random Fields (MRFcov)

Temporal Pattern of Aedes Sollicitans and Aedes Taeniorhynchus in an Intertidal Wetland System, Northeastern Florida: A Literature Review

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