Ignell, Rickard
- Department of Plant Protection Biology, Swedish University of Agricultural Sciences
Abstract
Lack of tools for detailed, real-time observation of mosquito behavior with high spatio-temporal resolution limits progress towards improved malaria vector control. We deployed a high-resolution entomological lidar to monitor a half-kilometer static transect positioned over rice fields outside a Tanzanian village. A quarter of a million in situ insect observations were classified, and several insect taxa were identified based on their modulation signatures. We observed distinct range distributions of male and female mosquitoes in relation to the village periphery, and spatio-temporal behavioral features, such as swarming. Furthermore, we observed that the spatial distributions of males and females change independently of each other during the day, and were able to estimate the daily dispersal of mosquitoes towards and away from the village. The findings of this study demonstrate how lidar-based monitoring could dramatically improve our understanding of malaria vector ecology and control options.
Published in
PLoS ONE
2021, volume: 16, number: 3, article number: e0247803
Publisher: PUBLIC LIBRARY SCIENCE
SLU Authors
Global goals (SDG)
SDG3 Good health and well-being
UKÄ Subject classification
Public Health, Global Health and Social Medicine
Zoology
Epidemiology
Publication identifier
- DOI: https://doi.org/10.1371/journal.pone.0247803
Permanent link to this page (URI)
https://res.slu.se/id/publ/111500