The Influence of New Surveillance Data on Predictive Species Distribution Modeling of Aedes aegypti and Aedes albopictus in the United States

Tiffin, Hannah S.; Peper, Steven T.; Wilson-Fallon, Alexander N.; Haydett, Katelyn M.; Cao, Guofeng; Presley, Steven M.

doi:10.3390/insects10110400

Cited by 10 publications

(7 citation statements)

References 26 publications

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“…This software is often used for modeling species distribution, and effectively handles a small number of collection sites [38][39][40][41][42]. Based on the review, we selected 18 environmental variables which had a permutation importance (PI) of at least 5% (Table 2) [34,[43][44][45][46][47][48][49][50][51][52][53][54][55]. PI indicates the importance of each variable in a MaxEnt model [56].…”

Section: Environmental Variablesmentioning

confidence: 99%

“…Dry season length was included in addition to the variables obtained by the literature review [58]. Bio12 Annual precipitation [47,55] Bio13 Precipitation of wettest month [43,45,47,51] Bio14 Precipitation of driest month [44,47,49] Bio15 Precipitation seasonality [43] Bio16 Precipitation of wettest quarter [46] Bio17 Precipitation of driest quarter [46,50,55] Bio18 Precipitation of warmest quarter [49,54] DEM Digital elevation model [54] NVDI Normalized Difference Vegetation Index [34] EVI Enhanced vegetation index 13.6 [55] Dry season length [58] Permutation importance values are given for variables selected in the final model.…”

Section: Environmental Variablesmentioning

confidence: 99%

“…Between the selected variables, we examined the Pearson correlation coefficients [44]. When the coefficients were above 80%, we retained them based on their apparent importance in past studies (Table 2) [34,[43][44][45][46][47][48][49][50][51][52][53][54][55]. Dry season length was excluded from the analyses because of the absence of a raster file.…”

Section: Modelingmentioning

confidence: 99%

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Geographic distribution and future expansion ofAedes albopictusin the Democratic Republic of the Congo

Vulu

Bobanga

Sunahara

et al. 2021

Preprint

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Aedes albopictus with an Asian origin has been reported from central African countries. The establishment of this mosquito species poses a serious threat as the vector of various infectious diseases. Since information about Ae. albopictus in Democratic Republic of the Congo (DRC) is scarce, we investigated the current distribution of this mosquito species. Based on the factors affecting the distribution, we predicted future distribution. We conduced entomological surveys in Kinshasa and three neighboring cities from May 2017 to September 2019. The survey was extended to seven inland cities. A total of 19 environmental variables were examined using the maximum entropy method to identify areas suitable for Ae. albopictus to establish a population. We found Ae. albopictus at 21 of 23 sites in Kinshasa and three neighboring cities. For the first time Ae. albopictus was also found from three of seven inland cities, while it was not found in four cities located in the eastern and southeastern parts of DRC. A maximum entropy model revealed that the occurrence of Ae. albopictus was positively associated with maximum temperature of the warmest month, and negatively associated with wider mean diurnal temperature range and enhanced vegetation index. The model predicted that most parts of DRC are suitable for the establishment of the mosquito. The unsuitable areas were the eastern and southeastern highlands, which have low temperatures and long dry seasons. We confirmed that Ae. albopictus is well established in Kinshasa and its neighboring cities. The expansion of Ae. albopictus to the inland is ongoing, and in the future the mosquito may establish in most parts of DRC.

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Section: Environmental Variablesmentioning

confidence: 99%

Section: Environmental Variablesmentioning

confidence: 99%

Section: Modelingmentioning

confidence: 99%

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Geographic distribution and future expansion ofAedes albopictusin the Democratic Republic of the Congo

Vulu

Bobanga

Sunahara

et al. 2021

Preprint

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“…albopictus , and considered Ae. albopictus as one of 100 worst invasive species 12‐15 . In nearly one‐third of China, Ae.…”

Section: Introductionmentioning

confidence: 99%

Pyrethrins elicit olfactory response and spatial repellency in Aedes albopictus

Yan

Zhou

et al. 2021

Pest Management Science

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BACKGROUND Pyrethrum from dry flowers of Chrysanthemum is a well‐known botanical insecticide and repellent. Its insecticidal activity attributes to its six insecticidal esters, collectively known as pyrethrins. Pyrethrins and its synthetic analogs pyrethroids exert their toxic action by modifying the function of voltage‐gated sodium channels. Aside from insecticidal activity, pyrethrum has also been used to repel mosquitoes for centuries. Today, pyrethrum continues to be used as an active ingredient in mosquito coils and other mosquito‐repellent devices globally. However, the mechanism of pyrethrum repellency remains largely unknown. RESULTS Here we report that pyrethrum vapor induced spatial (non‐contact) repellency in Aedes albopictus, a major vector of dengue and West Nile viruses. Using electroantennogram (EAG) recordings from adult antennae, we found that pyrethrum elicited EAG response in a dose‐dependent manner. We then isolated the six insecticidal esters, pyrethrins I and II, cinerins I and II, jasmolins I and II from pyrethrum extract and discovered that five of the six esters, except jasmolin I, all elicited EAG responses. Furthermore, pyrethrins I and II, cinerin II and jasmolin II induced repellency, whereas cinerin I and jasmolin I did not. CONCLUSION Of the six pyrethrins, four of them, pyrethrins I and II, cinerin II and jasmolin II, activate olfactory‐receptor neurons and elicit spatial repellency in Ae. albopictus. Our study provided a foundation for future structure–function studies of pyrethrins, their cognate olfactory receptors and efficacies of repellency and for the development of new and more effective mosquito repellents for controlling vector‐borne human diseases. © 2021 Society of Chemical Industry.

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“…Maximum entropy theory is one such model and predicts species’ potential distribution area using occurrence points and environmental variables [ 30 , 31 , 32 , 33 ]. And the maximum entropy model has been applied in various studies predicting habitat suitability for plants, animals, and fungi [ 34 , 35 , 36 , 37 ], especially in invasion biology studies. The maximum entropy model is highly advantageous above other models due to its faster operational capability, simplicity of operation, stable calculation results, and high accuracy [ 38 ].…”

Section: Introductionmentioning

confidence: 99%

The Potential Global Distribution of Sirex juvencus (Hymenoptera: Siricidae) under Near Current and Future Climatic Conditions as Predicted by the Maximum Entropy Model

Gao

Shi

2021

Insects

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Wood wasp species in the genus Sirex are known pests of forestry. They cause significant economic losses due to their impacts on plant health and wood quality. S. juvencus (Hymenoptera: Siricidae), widely distributed in Asia, Europe, and North America, is known to negatively impact forestry, infesting Picea, Pinus, Larix, Abies, Cupressus, and Pseudotsuga species. This pest destroys plants by depositing eggs, mucus, and its obligate mutualistic fungus, Amylostereum areolatum. Its obligate mutualistic fungus is to provide nutrition for S. juvencus larva. Despite its extensive distribution range, little is known about which environmental variables significantly impact current and future distribution patterns of S. juvencus for pest control and monitoring. Here we used the maximum entropy model in conjunction with occurrence points of S. juvencus and environmental variables to predict the current and future global potential distribution of S. juvencus. We used the jackknife method and Pearson’s correlation analysis to select the environmental variables that influence the geographic distribution of S. juvencus, which resulted in the inclusion of the monthly average maximum temperature in February, the max temperature of warmest month, monthly average minimum temperature in July, monthly total precipitation in June, precipitation of the driest month, monthly total precipitation in September, and the temperature annual range. Temperature and precipitation are mainly likely to drive the distribution enabled by its obligate mutualistic fungus and the potential to co-infect with other Sirex species. The high temperature and low humidity influence S. juvencus eggs and larvae directly and indirectly via fungus-growth, which enables the larvae to survive. Furthermore, S. juvencus may increase its distribution to moderately suitable areas due to competition or dependency on other Sirex species during the infestation. Under the future climatic conditions, the highly suitable area increased by 32.79%, while the moderately suitable area, low suitable area, and unsuitable area increased by 28.14%, 3.30%, and 2.15%. Under climate changes, S. juvencus may spread in previously unsuitable areas rapidly.

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The Influence of New Surveillance Data on Predictive Species Distribution Modeling of Aedes aegypti and Aedes albopictus in the United States

Cited by 10 publications

References 26 publications

Geographic distribution and future expansion ofAedes albopictusin the Democratic Republic of the Congo

Geographic distribution and future expansion ofAedes albopictusin the Democratic Republic of the Congo

Pyrethrins elicit olfactory response and spatial repellency in Aedes albopictus

The Potential Global Distribution of Sirex juvencus (Hymenoptera: Siricidae) under Near Current and Future Climatic Conditions as Predicted by the Maximum Entropy Model

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