scholarly journals Assessing the Potential Distributions of the Invasive Mosquito Vector Aedes albopictus and Its Natural Wolbachia Infections in México

Insects ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 143
Author(s):  
David A. Moo-Llanes ◽  
Teresa López-Ordóñez ◽  
Jorge A. Torres-Monzón ◽  
Clemente Mosso-González ◽  
Mauricio Casas-Martínez ◽  
...  

The Asian tiger mosquito Aedes albopictus is currently the most invasive vector species, with a widespread global distribution. Aedes albopictus is the potential vector of diverse arboviruses, including Zika and dengue. This study updated the ecological niche model of Ae. albopictus and inferred the potential distribution of natural Wolbachia infections in Ae. albopictus in México. The ecological niche models were constructed based on diverse model settings to better estimate the potential distributions and uncertainty indices of both Ae. albopictus and its natural Wolbachia infections in México. The distribution of Ae. albopictus covered the states across Northern México, the Gulf of México, the Pacific Coast of México, Central México, and the southeast of México. The ecological niche model of the natural Wolbachia infections in Ae. albopictus populations anticipated the occurrence of natural Wolbachia infections in the southeast of México, the Chiapas border with Guatemala, and Veracruz. These results can be used to prioritize vector surveillance and control programs in México for strategic and future decision-making; however, it is still necessary to establish active surveillance programs to assess model predictions based on the independent sampling of Ae. albopictus from different invasion zones in México. Finally, vector surveillance should also screen the natural Wolbachia infections in Ae. albopictus to validate Wolbachia predictions across México, particularly in the southeast of México.

2019 ◽  
Author(s):  
Marlon E. Cobos ◽  
Luis Osorio-Olvera ◽  
A. Townsend Peterson

AbstractEcological niche models are popular tools used in fields such as ecology, biogeography, conservation biology, and epidemiology. These models are used commonly to produce representations of species’ potential distributions, which are then used to answer other research questions; for instance, where species richness is highest, where potential impacts of climate change can be anticipated, or where to expect spread of invasive species or disease vectors. Although these representations of potential distributions are variable which contributes to uncertainty in these predictions, model variability is neglected when presenting results of ecological niche model analyses. Here, we present examples of how to quantify and represent variability in models, particularly when models are transferred in space and time. To facilitate implementations of analyses of variability, we developed R functions and made them freely available. We demonstrate means of understanding how much variation exists and where this variation is manifested in geographic space. Representing model variability in geographic space gives a reference of the uncertainty in predictions, so analyzing this aspect of model outcomes must be a priority when policy is to be set or decisions taken based on these models. Our open access tools also facilitate post modeling process that otherwise could take days of manual work.


2015 ◽  
pp. 1-5 ◽  
Author(s):  
Jose Miguel Montalva ◽  
Mauro Ríos ◽  
Felipe Vivallo

The Palearctic wool carder bee Anthidium manicatum (Linnaeus) is recorded for the first time in Chile based on eight specimens collected on Lavandula sp. (Lamiaceae) in San Bernardo, Metropolitan Region.  This new record expands the invasive range of this species in South America, confirming previous predictions based on an ecological niche model.


2021 ◽  
Vol 15 (5) ◽  
pp. e0008212
Author(s):  
Emmanuel Echeverry-Cárdenas ◽  
Carolina López-Castañeda ◽  
Juan D. Carvajal-Castro ◽  
Oscar Alexander Aguirre-Obando

In Colombia, little is known on the distribution of the Asian mosquito Aedes albopictus, main vector of dengue, chikungunya, and Zika in Asia and Oceania. Therefore, this work sought to estimate its current and future potential geographic distribution under the Representative Concentration Paths (RCP) 2.6 and 8.5 emission scenarios by 2050 and 2070, using ecological niche models. For this, predictions were made in MaxEnt, employing occurrences of A. albopictus from their native area and South America and bioclimatic variables of these places. We found that, from their invasion of Colombia to the most recent years, A. albopictus is present in 47% of the country, in peri-urban (20%), rural (23%), and urban (57%) areas between 0 and 1800 m, with Antioquia and Valle del Cauca being the departments with most of the records. Our ecological niche modelling for the currently suggests that A. albopictus is distributed in 96% of the Colombian continental surface up to 3000 m (p < 0.001) putting at risk at least 48 million of people that could be infected by the arboviruses that this species transmits. Additionally, by 2050 and 2070, under RCP 2.6 scenario, its distribution could cover to nearly 90% of continental extension up to 3100 m (≈55 million of people at risk), while under RCP 8.5 scenario, it could decrease below 60% of continental extension, but expand upward to 3200 m (< 38 million of people at risk). These results suggest that, currently in Colombia, A. albopictus is found throughout the country and climate change could diminish eventually its area of distribution, but increase its altitudinal range. In Colombia, surveillance and vector control programs must focus their attention on this vector to avoid complications in the national public health setting.


Author(s):  
A. Townsend Peterson ◽  
Jorge Soberón ◽  
Richard G. Pearson ◽  
Robert P. Anderson ◽  
Enrique Martínez-Meyer ◽  
...  

This chapter explores the conceptual bases for the discrepancy between species’ potential geographic distributional areas and their occupied distributional areas, focusing on the case of conditions when the Eltonian Noise Hypothesis is true as well as the necessary modifications when it is not. It first considers the meaning of the potential distributional area and the reasons why an ecological niche model may not estimate it correctly. It then explains why a species may not be at equilibrium with its potential distributional area, but rather inhabits only some subset of areas suitable for it. It also discusses nonequilibrium distributions that may arise in terms of the BAM diagram before concluding with an analysis of procedures for further processing of a niche model, which expresses potential geographic distributional area, to yield an estimate of occupied distributional area.


PLoS ONE ◽  
2013 ◽  
Vol 8 (11) ◽  
pp. e82066 ◽  
Author(s):  
Shivaprakash K. Nagaraju ◽  
Ravikanth Gudasalamani ◽  
Narayani Barve ◽  
Jaboury Ghazoul ◽  
Ganeshaiah Kotiganahalli Narayanagowda ◽  
...  

Primates ◽  
2019 ◽  
Vol 61 (2) ◽  
pp. 267-275
Author(s):  
Thinh T. Vu ◽  
Dung V. Tran ◽  
Hoa T. P. Tran ◽  
Manh D. Nguyen ◽  
Tuan A. Do ◽  
...  

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