Related Experiment Video
Updated: May 22, 2026

12:09
Building an Enhanced Flight Mill for the Study of Tethered Insect Flight
Published on: March 10, 2021
Testing an emerging paradigm in migration ecology shows surprising differences in efficiency between flight modes.
Adam E Duerr1, Tricia A Miller, Michael Lanzone
1Division of Forestry and Natural Resources, West Virginia University, Morgantown, West Virginia, United States of America. adam.duerr@mail.wvu.edu
Plos One
|May 5, 2012
Summary
Large raptors migrating in North America utilize slope soaring less often than expected. This strategy, contrary to popular belief, is slower and diverts birds from their migratory path.
Area of Science:
- Ornithology
- Bioenergetics
- Animal Migration
Background:
- Flying animals balance speed and energy for optimal fitness.
- Large raptors in North America use thermal gliding and slope soaring for migration.
- Slope soaring is often assumed to be faster than thermal gliding.
Purpose of the Study:
- To test the hypothesis that slope soaring is faster than thermal gliding in migrating golden eagles.
- To understand the trade-offs between time and energy expenditure in avian migration.
Main Methods:
- High-frequency GPS-GSM telemetry devices were used to track golden eagles during their northbound migration.
- Flight speeds and migratory paths were analyzed for both slope soaring and thermal gliding behaviors.
Main Results:
- Contrary to expectations, golden eagles flew slower when slope soaring.
- Slope soaring diverted eagles from their migratory path, potentially increasing energetic costs.
- Fast gliding speeds between thermals compensated for slower progress during thermal soaring.
- Eagles opted for energetically expensive slope soaring when thermals were unavailable to minimize migration time.
Conclusions:
- Slope soaring is not necessarily faster than thermal gliding for migrating raptors.
- Avian risk of collision with wind turbines may be linked to evolutionary trade-offs in migratory strategies.
- Understanding these trade-offs is crucial for conservation, especially in areas with wind energy development.
Related Concept Videos
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.
Gene Flow
Gene flow is the transfer of genes among populations, resulting from either the dispersal of gametes or from the migration of individuals.
Optimal Foraging
How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
Limits to Natural Selection
Organisms that are well-adapted to their environment are more likely to survive and reproduce. However, natural selection does not lead to perfectly adapted organisms. Several factors constrain natural selection.
Ecological Niches
All organisms have a position within an ecosystem. The complete set of living and nonliving factors—including food resources, climate, and terrain—that define the position of a given organism are collectively referred to as the organism’s ecological niche.
Testing a Claim about Mean: Unknown Population SD
A complete procedure of testing a hypothesis about a population mean when the population standard deviation is unknown is explained here.
Estimating a population mean requires the samples to be approximately normally distributed. The data should be collected from the randomly selected samples having no sampling bias. There is no specific requirement for sample size. But if the sample size is less than 30, and we don't know the population standard deviation, a different approach is used; instead...
Estimating a population mean requires the samples to be approximately normally distributed. The data should be collected from the randomly selected samples having no sampling bias. There is no specific requirement for sample size. But if the sample size is less than 30, and we don't know the population standard deviation, a different approach is used; instead...

