TY - JOUR
T1 - The role of wingbeat frequency and amplitude in flight power
AU - Krishnan, Krishnamoorthy
AU - Garde, Baptiste
AU - Bennison, Ashley
AU - Cole, Nik C.
AU - Cole, Emma L.
AU - Darby, Jamie
AU - Elliott, Kyle H.
AU - Fell, Adam
AU - Gómez-Laich, Agustina
AU - De Grissac, Sophie
AU - Jessopp, Mark
AU - Lempidakis, Emmanouil
AU - Mizutani, Yuichi
AU - Prudor, Aurélien
AU - Quetting, Michael
AU - Quintana, Flavio
AU - Robotka, Hermina
AU - Roulin, Alexandre
AU - Ryan, Peter G.
AU - Schalcher, Kim
AU - Schoombie, Stefan
AU - Tatayah, Vikash
AU - Tremblay, Fred
AU - Weimerskirch, Henri
AU - Whelan, Shannon
AU - Wikelski, Martin
AU - Yoda, Ken
AU - Hedenström, Anders
AU - Shepard, Emily L.C.
PY - 2022/8/24
Y1 - 2022/8/24
N2 - Body-mounted accelerometers provide a new prospect for estimating power use in flying birds, as the signal varies with the two major kinematic determinants of aerodynamic power: wingbeat frequency and amplitude. Yet wingbeat frequency is sometimes used as a proxy for power output in isolation. There is, therefore, a need to understand which kinematic parameter birds vary and whether this is predicted by flight mode (e.g. accelerating, ascending/descending flight), speed or morphology. We investigate this using high-frequency acceleration data from (i) 14 species flying in the wild, (ii) two species flying in controlled conditions in a wind tunnel and (iii) a review of experimental and field studies. While wingbeat frequency and amplitude were positively correlated, R 2 values were generally low, supporting the idea that parameters can vary independently. Indeed, birds were more likely to modulate wingbeat amplitude for more energy-demanding flight modes, including climbing and take-off. Nonetheless, the striking variability, even within species and flight types, highlights the complexity of describing the kinematic relationships, which appear sensitive to both the biological and physical context. Notwithstanding this, acceleration metrics that incorporate both kinematic parameters should be more robust proxies for power than wingbeat frequency alone.
AB - Body-mounted accelerometers provide a new prospect for estimating power use in flying birds, as the signal varies with the two major kinematic determinants of aerodynamic power: wingbeat frequency and amplitude. Yet wingbeat frequency is sometimes used as a proxy for power output in isolation. There is, therefore, a need to understand which kinematic parameter birds vary and whether this is predicted by flight mode (e.g. accelerating, ascending/descending flight), speed or morphology. We investigate this using high-frequency acceleration data from (i) 14 species flying in the wild, (ii) two species flying in controlled conditions in a wind tunnel and (iii) a review of experimental and field studies. While wingbeat frequency and amplitude were positively correlated, R 2 values were generally low, supporting the idea that parameters can vary independently. Indeed, birds were more likely to modulate wingbeat amplitude for more energy-demanding flight modes, including climbing and take-off. Nonetheless, the striking variability, even within species and flight types, highlights the complexity of describing the kinematic relationships, which appear sensitive to both the biological and physical context. Notwithstanding this, acceleration metrics that incorporate both kinematic parameters should be more robust proxies for power than wingbeat frequency alone.
KW - accelerometry
KW - bio-logging
KW - energy expenditure
KW - kinematics
KW - movement ecology
U2 - 10.1098/rsif.2022.0168
DO - 10.1098/rsif.2022.0168
M3 - Article
C2 - 36000229
AN - SCOPUS:85136390364
SN - 1742-5689
VL - 19
JO - Journal of the Royal Society Interface
JF - Journal of the Royal Society Interface
IS - 193
M1 - 20220168
ER -