Recording raptor behavior on the wing via accelerometry

Halsey, Lewis G.; Portugal, Steven J.; Smith, Jennifer A.; Murn, Campbell; Wilson, Rory P.

doi:10.1111/j.1557-9263.2009.00219.x

Cited by 55 publications

(57 citation statements)

References 27 publications

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“…2; Table 1). Flapping flight was defined by regular peaks in the heave and surge axes, where each peak represents a wing beat in a pattern of repeated flapping behaviour [15] (Fig. 2a).…”

Section: Identification Of Flight Typesmentioning

confidence: 99%

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Can accelerometry be used to distinguish between flight types in soaring birds?

et al. 2015

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Background: Accelerometry has been used to identify behaviours through the quantification of body posture and motion for a range of species moving in different media. This technique has not been applied to flight behaviours to the same degree, having only been used to distinguish flapping from soaring flight, even though identifying the type of soaring flight could provide important insights into the factors underlying movement paths in soaring birds. This may be due to the complexities of interpreting acceleration data, as movement in the aerial environment may be influenced by phenomena such as centripetal acceleration (pulling-g). This study used high-resolution movement data on the flight of free-living Andean condors (Vultur gryphus) and a captive Eurasian griffon vulture (Gyps fulvus) to examine the influence of gravitational, dynamic and centripetal acceleration in different flight types. Flight behaviour was categorised as thermal soaring, slope soaring, gliding and flapping, using changes in altitude and heading from magnetometry data. We examined the ability of the k-nearest neighbour (KNN) algorithm to distinguish between these behaviours using acceleration data alone. Results:Values of the vectorial static body acceleration (VeSBA) suggest that these birds experience relatively little centripetal acceleration in flight, though this varies between flight types. Centripetal acceleration appears to be of most influence during thermal soaring; consequently, it is not possible to derive bank angle from smoothed values of lateral acceleration. In contrast, the smoothed acceleration values in the dorso-ventral axis provide insight into body pitch, which varied linearly with airspeed. Classification of passive flight types via KNN was limited, with low accuracy and precision for soaring and gliding. Conclusion:The importance of soaring was evident in the high proportion of time each bird spent in this flight mode (52.17-84.00 %). Accelerometry alone was limited in its ability to distinguish between passive flight types, though smoothed values in the dorso-ventral axis did vary with airspeed. Other sensors, in particular the magnetometer, provided powerful methods of identifying flight behaviour and these data may be better suited for automated behavioural identification. This should provide further insight into the type and strength of updraughts available to soaring birds.

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“…2; Table 1). Flapping flight was defined by regular peaks in the heave and surge axes, where each peak represents a wing beat in a pattern of repeated flapping behaviour [15] (Fig. 2a).…”

Section: Identification Of Flight Typesmentioning

confidence: 99%

“…Flapping flight is readily classifiable as each upstroke and downstroke are associated with peaks in dynamic acceleration [14,15], and the absence of these peaks has been used to identify passive flight [16].…”

mentioning

confidence: 99%

Can accelerometry be used to distinguish between flight types in soaring birds?

et al. 2015

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“…Green et al, 2009b;Portugal et al, 2009;Halsey et al, 2010;White et al, 2011) and externally attached devices (e.g. Green et al, 2009a;Halsey et al, 2009;Halsey et al, 2011). Much of this work used the heart rate technique for estimation of energy expenditure over relatively long time scales [see Green (Green, 2011) for a comprehensive review of this technique] and the loggers were internally implanted under anaesthesia.…”

Section: Introductionmentioning

confidence: 99%

Implantation reduces the negative effects of bio-logging devices on birds

White

Cassey

Schimpf

et al. 2012

Journal of Experimental Biology

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SUMMARYAnimal-borne logging or telemetry devices are widely used for measurements of physiological and movement data from free-living animals. For such measurements to be relevant, however, it is essential that the devices themselves do not affect the data of interest. A recent meta-analysis reported an overall negative effect of these devices on the birds that bear them, i.e. on nesting productivity, clutch size, nest initiation date, offspring quality, body condition, flying ability, foraging behaviours, energy expenditure and survival rate. Method of attachment (harness, collar, glue, anchor, implant, breast-mounted or tailmount) had no influence on the strength of these effects but anchored and implanted transmitters had the highest reported rates of device-induced mortality. Furthermore, external devices, but not internal devices, caused an increase in ʻdevice-induced behaviourʼ (comfort behaviours such as preening, fluffing and stretching, and unrest activities including unquantifiable ʻactiveʼ behaviours). These findings suggest that, with the exception of device-induced behaviour, external attachment is preferable to implantation. In the present study we undertake a metaanalysis of 183 estimates of device impact from 39 studies of 36 species of bird designed to explicitly compare the effects of externally attached and surgically implanted devices on a range of traits, including condition, energy expenditure and reproduction. In contrast to a previous study, we demonstrate that externally attached devices have a consistent detrimental effect (i.e. negative influences on body condition, reproduction, metabolism and survival), whereas implanted devices have no consistent effect. We also show that the magnitude of the negative effect of externally attached devices decreases with time. We therefore conclude that device implantation is preferable to external attachment, providing that the risk of mortality associated with the anaesthesia and surgery required for implantation can be mitigated. We recommend that studies employing external devices use devices that can be borne for long periods, and, wherever possible, deploy devices in advance of the time period of interest. Supplementary material available online at

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“…Such loggers have been used to examine, for example, the in-flight and diving behavior of birds (Yoda et al 1999(Yoda et al , 2001Watanuki et al 2003;Wilson et al 2006;Gó mez Laich et al 2008;Halsey et al 2009b), the diving and feeding behavior of marine mammals (Sato et al 2006;Viviant et al 2010), and the movement patterns of an array of species Wilson et al 2008). More recently, acceleration-data loggers have been applied to estimating energy expenditure in free-living animals by calibration of measures of acceleration with metabolic rate, which tends to be measured via respirometry as rate of oxygen consumption (…”

Section: Introductionmentioning

confidence: 99%

Assessing the Validity of the Accelerometry Technique for Estimating the Energy Expenditure of Diving Double-Crested CormorantsPhalacrocorax auritus

Halsey¹,

White²,

Enstipp³

et al. 2011

Physiological and Biochemical Zoology

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JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org.. The University of Chicago Press ABSTRACTOver the past few years, acceleration-data loggers have been used to provide calibrated proxies of energy expenditure: the accelerometry technique. Relationships between rate of oxygen consumption and a derivation of acceleration data termed "overall dynamic body acceleration" (ODBA) have now been generated for a range of species, including birds, mammals, and amphibians. In this study, we examine the utility of the accelerometry technique for estimating the energy expended by double-crested cormorants Phalacrocorax auritus to undertake a dive cycle (i.e., a dive and the subsequent pause at the surface before another dive). The results show that ODBA does not calibrate with energy expenditure in diving cormorants, where energy expenditure is calculated from measures of oxygen uptake during surface periods between dives. The possible explanations include reasons why energy expenditure may not relate to ODBA but also reasons why oxygen uptake between dives may not accurately represent energy expenditure during a dive cycle.

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Recording raptor behavior on the wing via accelerometry

Cited by 55 publications

References 27 publications

Can accelerometry be used to distinguish between flight types in soaring birds?

Can accelerometry be used to distinguish between flight types in soaring birds?

Implantation reduces the negative effects of bio-logging devices on birds

Assessing the Validity of the Accelerometry Technique for Estimating the Energy Expenditure of Diving Double-Crested CormorantsPhalacrocorax auritus

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