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Migration

Migration

Migration is long-range, seasonal movement from one region or habitat to another. This common strategy, carried out by many different organisms around the world, is an adaptive response that typically corresponds to changes in an organism’s environment, like resource availability or climate. Migrations can involve huge groups of thousands of animals as well as single individuals traveling alone and can range from thousands of kilometers to just a few hundred meters.

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Related Experiment Video

Updated: Jul 17, 2025

A Video Surveillance System to Monitor Breeding Colonies of Common Terns Sterna Hirundo

A Video Surveillance System to Monitor Breeding Colonies of Common Terns Sterna Hirundo

Published on: July 22, 2018

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

Alva I Strand^1,2, Eli S Bridge², Jeffrey F Kelly^1,2

¹Department of Biology, University of Oklahoma, Norman, Oklahoma, United States.

|September 4, 2023

Summary

This summary is machine-generated.

Migratory birds adjust flight paths with wind. A new multi-sensor array integrated radar, moon-watching, and acoustic data to track spring migration and its response to atmospheric conditions.

Keywords:

Avian migration Data integration Remote sensing Weather surveillance radar

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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.