scholarly journals Geographic shifts in Aedes aegypti habitat suitability in Ecuador using larval surveillance data and ecological niche modeling: Implications of climate change for public health vector control

2019 ◽  
Vol 13 (4) ◽  
pp. e0007322 ◽  
Author(s):  
Catherine A. Lippi ◽  
Anna M. Stewart-Ibarra ◽  
M. E. Franklin Bajaña Loor ◽  
Jose E. Dueñas Zambrano ◽  
Nelson A. Espinoza Lopez ◽  
...  
2016 ◽  
Vol 6 (6) ◽  
pp. 1712-1724 ◽  
Author(s):  
Alexander Jueterbock ◽  
Irina Smolina ◽  
James A. Coyer ◽  
Galice Hoarau

2013 ◽  
Vol 19 (8) ◽  
pp. 2524-2535 ◽  
Author(s):  
Gabriela Mendoza-González ◽  
M. Luisa Martínez ◽  
Octavio R. Rojas-Soto ◽  
Gabriela Vázquez ◽  
Juan B. Gallego-Fernández

2018 ◽  
Author(s):  
Catherine A. Lippi ◽  
Anna M. Stewart-Ibarra ◽  
M.E. Franklin Bajaña Loor ◽  
Jose E. Dueñas Zambrano ◽  
Nelson A. Espinoza Lopez ◽  
...  

AbstractArboviral disease transmission byAedesmosquitoes poses a major challenge to public health systems in Ecuador, where constraints on health services and resource allocation call for spatially informed management decisions. Employing a unique dataset of larval occurrence records provided by the Ecuadorian Ministry of Health, we used ecological niche models (ENMs) to estimate the current geographic distribution ofAedes aegyptiin Ecuador, using mosquito presence as a proxy for risk of disease transmission. ENMs built with the Genetic Algorithm for Rule-Set Production (GARP) algorithm and a suite of environmental variables were assessed for agreement and accuracy. The top model of larval mosquito presence was projected to the year 2050 under various combinations of greenhouse gas emissions scenarios and models of climate change. Under current climatic conditions, larval mosquitoes were not predicted in areas of high elevation in Ecuador, such as the Andes mountain range, as well as the eastern portion of the Amazon basin. However, all models projected to scenarios of future climate change demonstrated potential shifts in mosquito distribution, wherein range contractions were seen throughout most of eastern Ecuador, and areas of transitional elevation became suitable for mosquito presence. Encroachment ofAe. aegyptiinto mountainous terrain was estimated to affect up to 4,215 km2under the most extreme scenario of climate change, an area which would put over 12,000 people currently living in transitional areas at risk. This distributional shift into communities at higher elevations indicates an area of concern for public health agencies, as targeted interventions may be needed to protect vulnerable populations with limited prior exposure to mosquito-borne diseases. Ultimately, the results of this study serve as a tool for informing public health policy and mosquito abatement strategies in Ecuador.Author summaryThe yellow fever mosquito (Aedes aegypti) is a medically important vector of arboviral diseases in Ecuador, such as dengue fever and chikungunya. ManagingAe. aegyptiis a challenge to public health agencies in Latin America, where the use of limited resources must be planned in an efficient, targeted manner. The spatial distribution ofAe. aegyptican be used as a proxy for risk of disease exposure, guiding policy formation and decision-making. We used ecological niche models in this study to predict the range ofAe. aegyptiin Ecuador, based on agency larval mosquito surveillance records and layers of environmental predictors (e.g. climate, altitude, and human population). The best models of current range were then projected to the year 2050 under a variety of greenhouse gas emissions scenarios and models of climate change. All modeled future scenarios predicted shifts in the range ofAe. aegypti, allowing us to assess human populations that may be at risk of becoming exposed toAedesvectored diseases. As climate changes, we predict that communities living in areas of transitional elevation along the Andes mountain range are vulnerable to the expansion ofAedes aegypti.


2015 ◽  
Vol 49 (6) ◽  
pp. 551-558 ◽  
Author(s):  
V. Tytar ◽  
L. Sobolenko ◽  
O. Nekrasova ◽  
S. Mezhzherin

Abstract Using Ecological Niche Modeling for Biodiversity Conservation Guidance in the Western Podillya (Ukraine): Reptiles. Tytar, V., Sobolenko, L., Nekrasova, O. Mezhzherin, S. - Maximum entropy niche modeling was employed as a tool to assess potential habitat suitability for 10 reptile species and to map their potential distribution in the Western Podillya (Ukraine). We used climate, topography and human impact (assessed by the Human Footprint) as predictor variables. “Isothermality”, “temperature seasonality” and the “mean temperature of coldest month” were three most important factors in predicting habitat suitability and distribution. A profound contribution to the modeling has been displayed by the Human Footprint, meaning that human infrastructure may benefit reptile species. Areas have been distinguished that in the first place should be of interest to biodiversity conservationists targeting reptiles and maps summarizing predicted habitat suitability and species richness were produced for guiding conservation efforts.


2015 ◽  
Vol 49 (2) ◽  
pp. 135-144 ◽  
Author(s):  
V. Tytar ◽  
S. Mezhzherin ◽  
L. Sobolenko

Abstract Maximum entropy niche modeling was employed as a tool to assess potential habitat suitability for 13 amphibian species and to map their potential distribution in the Western Podillya (Ukraine). The predictor variables used were of climate, topography and human impact (assessed by the Human Footprint). The “mean temperature of coldest quarter” and “isothermality” were two of the most important factors in predicting habitat suitability and distribution. Another profound contribution has been displayed by the Human Footprint, meaning that human infrastructure may benefit amphibians, a phenomenon that perhaps is much more widespread than thought. Areas have been distinguished that in the first place should be of interest to nature conservationists targeting amphibians (exemplified by Bombina variegata) and a map summarizing species richness was produced.


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