A new, low-turbulence wind tunnel was designed and commissioned for the study of bird flight at Swansea University. The tunnel has a large flight area and is mounted on a tiltable frame, enabling the study of level, climbing and gliding flight. We used the wind tunnel to develop a novel method of quantifying energy expenditure, positioning a high-resolution carbon dioxide (CO2) sensor downwind from study birds. We first demonstrated that this system could resolve breath-by-breath changes in relative CO2 levels for stationary birds on a perch (including in birds as small as 12 g). Extending this method to estimate the total CO2 production in flight required involved a step-change. Our solution was to fix a pipe fixed behind the bird to “capture” the wake, where expired CO2 is concentrated. This air is then mixed and passed over the CO2 sensor. This wake respirometry approach can resolve the CO2 produced in individual breaths for birds flying without masks and provide new estimates of the energetic costs of flight.
We used animal-attached tags to quantify the body acceleration of birds in flight, and then used first principles to convert this to estimates of flight power. We also used Motion Capture cameras to quantify flight power for pigeons flying in the wind tunnel, applying infra-red markers to their feathers and reconstructing their wing and body motion.
We deployed animal-attached tags on seven species in the wild to record high frequency data on their motion, heading and altitude. The study species represented a range of flight strategies; from pigeons, as archetypical flapping fliers, to birds that switch between flapping and gliding (tropicbirds), through to extreme, obligate soaring species (condors). These data (combined with data previously collected from > 40 other species) revealed the extent that birds use gliding flight, how that varies with aerial conditions and the biological context. We also investigated how wind affects landing.
In the case of homing pigeons, tagging data were coupled with fine-scale measurements of turbulence, recorded by flying an ultralight along the flight path. This provided new insight into their kinematic and behavioural response to turbulence and revealed that tagging data can be used to predict changes in turbulence levels.
Taken together, the project findings (18 papers to date) provide novel insight into how airflows affect flight costs, risks and trajectories, and affect global patterns in flight morphology.