Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Wing‐beat characteristics of birds recorded with tracking radar and cine camera

View through CrossRef
This study presents wing‐beat frequency data measured mainly by radar, complemented by video and cinematic recordings, for 153 western Palaearctic and two African species. Data on a further 45 Palaearctic species from other sources are provided in an electronic appendix. For 41 species with passerine‐type flight, the duration of flapping and pausing phases is given. The graphical presentations of frequency ranges and wing‐beat patterns show within‐species variation and allow easy comparison between species, taxonomic groups and types of flight. Wing‐beat frequency is described by Pennycuick (J. Exp. Biol. 2001; 204: 3283–3294) as a function of body‐mass, wing‐span, wing‐area, gravity and air density; for birds with passerine‐type flight the power‐fraction has also to be considered. We tested Pennycuick’s general allometric model and estimated the coefficients based on our data. The general model explained a high proportion of variation in wing‐beat frequency and the coefficients differed only slightly from Pennycuick’s original values. Modelling continuous‐flapping flyers alone resulted in coefficients not different from those predicted (within 95% intervals). Doing so for passerine‐type birds resulted in a model with non‐significant contributions of body‐mass and wing‐span to the model. This was mainly due to the very high correlation between body‐mass, wing‐span and wing‐area, revealing similar relative scaling properties within this flight type. However, wing‐beat frequency increased less than expected with respect to power‐fraction, indicating that the drop in flight level during the non‐flapping phases, compensated by the factor (g/q)0.5 in Pennycuick’s model, is smaller than presumed. This may be due to lift produced by the body during the bounding phase or by only partial folding of the wings.
Title: Wing‐beat characteristics of birds recorded with tracking radar and cine camera
Description:
This study presents wing‐beat frequency data measured mainly by radar, complemented by video and cinematic recordings, for 153 western Palaearctic and two African species.
Data on a further 45 Palaearctic species from other sources are provided in an electronic appendix.
For 41 species with passerine‐type flight, the duration of flapping and pausing phases is given.
The graphical presentations of frequency ranges and wing‐beat patterns show within‐species variation and allow easy comparison between species, taxonomic groups and types of flight.
Wing‐beat frequency is described by Pennycuick (J.
Exp.
Biol.
2001; 204: 3283–3294) as a function of body‐mass, wing‐span, wing‐area, gravity and air density; for birds with passerine‐type flight the power‐fraction has also to be considered.
We tested Pennycuick’s general allometric model and estimated the coefficients based on our data.
The general model explained a high proportion of variation in wing‐beat frequency and the coefficients differed only slightly from Pennycuick’s original values.
Modelling continuous‐flapping flyers alone resulted in coefficients not different from those predicted (within 95% intervals).
Doing so for passerine‐type birds resulted in a model with non‐significant contributions of body‐mass and wing‐span to the model.
This was mainly due to the very high correlation between body‐mass, wing‐span and wing‐area, revealing similar relative scaling properties within this flight type.
However, wing‐beat frequency increased less than expected with respect to power‐fraction, indicating that the drop in flight level during the non‐flapping phases, compensated by the factor (g/q)0.
5 in Pennycuick’s model, is smaller than presumed.
This may be due to lift produced by the body during the bounding phase or by only partial folding of the wings.

Related Results

The Beats
The Beats
This volume is the first-ever collection devoted to teaching Beat literature in high school to graduate-level classes. Essays address teaching topics such as the history of the cen...
Machine Learning Techniques for Forensic Camera Model Identification and Anti-forensic Attacks
Machine Learning Techniques for Forensic Camera Model Identification and Anti-forensic Attacks
The goal of camera model identification is to determine the manufacturer and model of an image's source camera. Camera model identification is an important task in multimedia foren...
Testing beat perception without sensory cues to the beat: the Beat-Drop Alignment Test (BDAT)
Testing beat perception without sensory cues to the beat: the Beat-Drop Alignment Test (BDAT)
Beat perception can serve as a window into internal time-keeping mechanisms, auditory-motor interactions, and aspects of cognition. A popular test of beat perception, the Beat Alig...
Testing beat perception without sensory cues to the beat: the Beat-Drop Alignment Test (BDAT)
Testing beat perception without sensory cues to the beat: the Beat-Drop Alignment Test (BDAT)
AbstractBeat perception can serve as a window into internal time-keeping mechanisms, auditory–motor interactions, and aspects of cognition. One aspect of beat perception is the cov...
The Firepond Long Range Imaging CO2 Laser Radar
The Firepond Long Range Imaging CO2 Laser Radar
The Massachusetts Institute of Technology Lincoln Laboratory has developed and tested the most advanced, high power, coherent CO2 laser radar ever built. The Firepond imaging laser...
Event based SLAM
Event based SLAM
(English) Event-based cameras are novel sensors with a bio-inspired design that exhibit a high dynamic range and extremely low latency. They sensing principle is different than the...
Framework for generation of 3D weather radar data composite products
Framework for generation of 3D weather radar data composite products
Modern weather radar networks play an indispensable role in nowcasting and short-term weather forecasting. They provide high-resolution, volumetric data crucial for identifying con...
Waveform Selection For Multi-Band Multistatic Radar Networks
Waveform Selection For Multi-Band Multistatic Radar Networks
This study investigates the benefits of waveform selection by exploiting multiple illuminators of opportunity (IO) in hybrid radar systems consisting of multi-band receivers which ...

Back to Top