A multi-sensor array for detecting and analyzing nocturnal avian migration

Area of Science:

• Ornithology
• Ecology
• Atmospheric Science

Background:

• Understanding avian migration is crucial for conservation.
• Technological advancements offer new ways to study bird movements.
• Integrating multiple sensors is key to a comprehensive understanding of migratory behavior.

Purpose of the Study:

• To design and test a proof-of-concept multi-sensor array for studying avian migration.
• To investigate the influence of wind on spring migrant movements using integrated sensor data.
• To explore the potential of multi-sensor arrays for detailed analysis of migratory responses to atmospheric conditions.

Main Methods:

• Deployed a multi-sensor array including local and regional weather surveillance radars (WSRs), an autonomous moon-watching sensor, and an autonomous recording unit (ARU).
• Collected data on select spring nights in central Oklahoma during 2021.
• Integrated sensor data with corresponding wind data to analyze migrant movements.

Main Results:

• A statistically significant negative correlation was found between regional avian migration intensity and wind velocity.
• Evidence suggests that migrating birds adjust flight direction by drifting with strong southerly winds.
• Most migration intensity data from different sensors were intercorrelated, demonstrating data integration potential.

Conclusions:

• Multi-sensor arrays show great potential for revealing detailed avian migratory responses to atmospheric conditions.
• Understanding how wind influences bird flight paths is vital for predicting migration patterns.
• This integrated approach enhances our ability to study highly mobile animal movements.