Meanwhile, climate change accelerates the digestion of blood repasts performed by adult females, driving a higher intensity of hematophagous activity and, consequently, pathogen transmission. High temperatures associated with higher humidity and precipitation directly influence the life cycle of mosquitoes, favoring the development and survival of larvae, prolonging adult life, and thus increasing the overall population size 3, 4, 5. In the Amazon region, local ecosystem dynamics are affected by well-defined rainy and dry seasons 2. Specifically, understanding population dynamics can help elucidate community structure and interactions with the ecosystem, allowing us to answer questions, such as whether a population will persist in a particular habitat or not 1. Hence, studying the ecology of culicids in areas affected by large infrastructure projects is of fundamental importance. Mosquito populations are dynamic, constantly changing over time according to factors that regulate their growth.

The effect of rainfall on mosquito communities may be due to variations in habitat availability for immature forms. Thus, both temperature and precipitation affected mosquito population dynamics. There was a significant correlation between species richness and cumulative precipitation 15 days before the sampling period (R 2 = 58.39% p = 0.0272). The NMDS showed that sampling carried out in the rainy and dry seasons formed two distinct groups. The CCA showed that maximum temperature significantly influenced the distribution of mosquito populations in the study area (p = 0.0406). In contrast, Mansonia titillans had the highest relative abundance in 2019 (25.34%), followed by Mansonia iguassuensis (24.26%). After analyzing the total mosquito fauna at all sampling points, 46,564 specimens were identified, with Mansonia dyari showing the highest relative abundance in 2018 (35.9%). In addition, non-metric multidimensional scaling (NMDS) was used to verify the similarity among the sampled communities from the different collections. Canonical correspondence analysis (CCA), combined with Monte Carlo permutations, was used to evaluate the correlation between climatic variables and species distribution. Mosquito sampling was performed using automatic CDC and Shannon light traps. Mosquito specimens were collected in May, July, October, and December 2018, and April, July, September, and November 2019, over periods of three alternating days during the hours of 6:00 p.m.

This work aimed to evaluate the spatial distribution of mosquitoes in different seasonal periods and the interaction between climatic factors and the abundance of mosquitoes, especially those belonging to the tribe Mansoniini in the area surrounding the Amazon hydroelectric production region (Jirau-HP) of Rondônia state, Brazil.

The fox in the forest amazon