Literature DB >> 9319516

Wingbeat frequency of birds in steady cruising flight: new data and improved predictions

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Abstract

Wingbeat frequencies of 15 species of birds, observed in the field in level, cruising flight were compared with predicted frequencies, calculated according to the formula derived from an earlier sample of 32 species. All of the data were collected by the author, using the same methods throughout. The new observations were predicted well for species with low wingbeat frequencies, but were underestimated at the higher frequencies. The following revised proportionality gave the best fit of the wingbeat frequency (f) to the combined data set of 47 species: where m is the body mass, g is the acceleration due to gravity, b is the wingspan, S is the wing area, I is the wing moment of inertia, and is the air density. As measurements of I were not available for most species, its exponent was combined with those of m and b, by assuming that Imb2. The following equation was fitted to the data on this basis: These formulae are dimensionally correct, according to the rules derived in the earlier paper, and the equation is also numerically correct as it stands, without requiring a multiplication factor. For allometric comparisons between geometrically similar species, where body mass and wing measurements vary together (including wing moment of inertia), the expected relationship is f m-1/6. If the mass alone varies, owing to feeding or consumption of fuel, while the wing measurements and other variables remain unchanged, the expected relationship is f m1/2. These relationships apply to any dimensionally correct formula and are not affected by adjusting the coefficients within the dimensional constraints.

Entities:  

Year:  1996        PMID: 9319516     DOI: 10.1242/jeb.199.7.1613

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  22 in total

1.  Wingbeat kinematics and energetics during weightlifting in hovering hummingbirds across an elevational gradient.

Authors:  Derrick J E Groom; M Cecilia B Toledo; Kenneth C Welch
Journal:  J Comp Physiol B       Date:  2016-07-18       Impact factor: 2.200

2.  Vortex wakes generated by robins Erithacus rubecula during free flight in a wind tunnel.

Authors:  A Hedenström; M Rosén; G R Spedding
Journal:  J R Soc Interface       Date:  2006-04-22       Impact factor: 4.118

3.  Energy expenditure and wing beat frequency in relation to body mass in free flying Barn Swallows (Hirundo rustica).

Authors:  Carola A Schmidt-Wellenburg; Herbert Biebach; Serge Daan; G Henk Visser
Journal:  J Comp Physiol B       Date:  2006-12-14       Impact factor: 2.200

4.  How lovebirds maneuver through lateral gusts with minimal visual information.

Authors:  Daniel Quinn; Daniel Kress; Eric Chang; Andrea Stein; Michal Wegrzynski; David Lentink
Journal:  Proc Natl Acad Sci U S A       Date:  2019-07-09       Impact factor: 11.205

5.  On the autorotation of animal wings.

Authors:  Victor Manuel Ortega-Jimenez; Antonio Martín-Alcántara; Ramon Fernandez-Feria; Robert Dudley
Journal:  J R Soc Interface       Date:  2017-01       Impact factor: 4.118

6.  Energy efficiency and allometry of movement of swimming and flying animals.

Authors:  Rahul Bale; Max Hao; Amneet Pal Singh Bhalla; Neelesh A Patankar
Journal:  Proc Natl Acad Sci U S A       Date:  2014-05-12       Impact factor: 11.205

7.  Power of the wingbeat: modelling the effects of flapping wings in vertebrate flight.

Authors:  M Klein Heerenbrink; L C Johansson; A Hedenström
Journal:  Proc Math Phys Eng Sci       Date:  2015-05-08       Impact factor: 2.704

8.  Effects of spanwise flexibility on the performance of flapping flyers in forward flight.

Authors:  Deepa Kodali; Cory Medina; Chang-Kwon Kang; Hikaru Aono
Journal:  J R Soc Interface       Date:  2017-11       Impact factor: 4.118

9.  Stroke and glide of wing-propelled divers: deep diving seabirds adjust surge frequency to buoyancy change with depth.

Authors:  Yutaka Watanuki; Yasuaki Niizuma; Geir Wing Gabrielsen; Katsufumi Sato; Yasuhiko Naito
Journal:  Proc Biol Sci       Date:  2003-03-07       Impact factor: 5.349

10.  Tuning of Strouhal number for high propulsive efficiency accurately predicts how wingbeat frequency and stroke amplitude relate and scale with size and flight speed in birds.

Authors:  Robert L Nudds; Graham K Taylor; Adrian L R Thomas
Journal:  Proc Biol Sci       Date:  2004-10-07       Impact factor: 5.349

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