4.3 Article

Ensemble species distribution modeling of Culex tarsalis (Diptera: Culicidae) in the continental United States

期刊

JOURNAL OF MEDICAL ENTOMOLOGY
卷 60, 期 4, 页码 664-679

出版社

OXFORD UNIV PRESS INC
DOI: 10.1093/jme/tjad027

关键词

Culex tarsalis; machine learning; NDVI; google earth engine; West Nile virus

向作者/读者索取更多资源

West Nile virus (WNV) is a major mosquito-borne disease in the United States, and its distribution and vectors are crucial to understand. In this study, we used ensemble distribution modeling to estimate the habitat suitability for Culex tarsalis Coquillett, a primary WNV vector, across the contiguous United States. We found that the central plains region and much of the western US have high habitat suitability. Additionally, we identified important temperature and precipitation metrics in predicting the occurrence of Cx. tarsalis.
West Nile virus (WNV) is the primary mosquito-borne disease in the United States and has had case reports every year since its introduction in 1999. As such, it is critical that we characterize the distribution of WNV vectors. Estimates of Culex tarsalis Coquillett species distribution, a major WNV vector, are scarce. We used ensemble distribution modeling to estimate habitat suitability for this species across the contiguous United States by consolidating presence data from four publicly available mosquito trapping data servers. The central plains region and much of the western US were estimated to have high habitat suitability. We identified multiple metrics of temperature and precipitation to be important in predicting the occurrence of Cx. tarsalis in a given geographic area. Furthermore, we observed habitat suitability for Cx. tarsalis to be significantly higher in areas with a high incidence of West Nile neuroinvasive disease compared to areas with low WN disease incidence, suggesting that Cx. tarsalis is present in regions with a high incidence of disease.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.3
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据