Diversity of mosquito (Diptera: Culicidae) vectors in a heterogeneous landscape endemic for arboviruses

Background: In Brazil and several countries in the Americas, where dengue, chikungunya and Zika are co circulating, there is a need to understand how different mosquito species relate to landscape and humans. Mosquito ecology and distribution, especially at finer spatial scales, are key factors to study since the relationship of mosquito communities to their habitats might have important consequences in the risk of disease transmission to humans. The aim of this study was to evaluate the diversity of resident culicids along heterogeneous landscapes in different endemic cities for dengue, chikungunya and Zika. Methods: Fourteen collection sites were randomly selected in six landscapes characterized as urban, periurban and rural along two endemic metropolitan cities in Rio de Janeiro, Brazil: Itaborai and Cachoeiras de Macacu, Rio de Janeiro. In each site, adult mosquito collections were performed using different traps and backpack aspiration. Collections took place during the rainy and dry seasons of 2015 and 2016. To measure diversity in each landscape, we generated species accumulation curves and used different indexes: rarefied species richness, Chao1-bc and ACE-1. Mosquito habitat segregation along different land use types was measured with a partial canonical correspondence analysis (pCCA). Generalized linear mixed models (GLMM) were used to model the probability of occurrence of the most abundant species along an Urban-Forest gradient. Results: A total of 13,462 adult mosquitoes from 10 genera and 41 species were collected. The most abundant species were Culex quinquefasciatus Say, 1823, Aedes aegypti (Linnaeus, 1762) and Aedes albopictus (Skuse, 1895). There was a significant association between rarefied species richness and landscape, with higher richness in the Rural landscape. The number of observed species was matched only in the Urban landscape. Most species showed segregation along an Urban-Forest gradient, and the great majority were associated with forested habitats. We were able to fit prediction models for six mosquito species. Discussion: The paper discusses the impact of human activities on landscape and its effects on mosquito populations, focusing on the segregation of different known vector species and their proximity to human altered environments. Most of these species are known arbovirus vectors and knowledge of their distribution are key elements that health authorities should take into account when planning arbovirus surveillance and vector control activities.