Moving towards acceleration for estimates of activity-specific metabolic rate in free-living animals: the case of the cormorant.

By Rory P. Wilson, C. R. White, F. Quintana, L. Halsey, N. Liebsch, G. Martin, P. Butler. Journal of Animal Ecology, 2006

712 citations recorded by the source corpus.

Subfields: Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/a3a6064c1a78adcf1416577698f4d3c8a051f62a

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Citations in the corpus

Identification of animal movement patterns using tri-axial accelerometry (2008, methodology): “Dynamic acceleration was derived in the Magellanic penguin data by taking a running mean of total acceleration values over 2 s (Wilson et al. 2006).”
Derivation of body motion via appropriate smoothing of acceleration data (2008, methodology): “In order to explore how variation in ODBA may affect calculations of energy expenditure, ODBA values from imperial shags were converted to VO2 using the regression equation calculated for a species of cormorant of similar body morphology and mass, Phalacrocorax carbo (r2 = 0.81; Wilson et al. 2006).”
Estimating activity-specific energy expenditure in a teleost fish, using accelerometer loggers (2014, background): “The correlations between DBA and MO2 demonstrate that DBA can be used as a metric to estimate activity-specific metabolic rates in fish (Wilson et al. 2006, 2013, Gleiss et al. 2010), and reconfirms the use of acceleration as a proxy for activity-specific metabolic rates in the field (Halsey et al.…”
Acceleration data reveal the energy management strategy of a marine ectotherm during reproduction (2012, background): “However, the recent development of accelerometry provides new means to assimilate detailed activity budgets over relatively longer periods of time for free-ranging individuals (Wilson et al. 2006; Wilson, Shepard & Liebsch 2008; Shepard et al. 2009; Gleiss et al. 2010).”
Use of an acceleration data logger to measure diel activity patterns in captive whitetip reef sharks, Triaenodon obesus (2007, methodology): “Acceleration data loggers are small, can be applied to an animal quickly and externally, and have been used with a variety of marine birds, mammals, and fishes to look at aspects of swimming performance, spawning behavior, foraging activity, and bioenergetics (e.g. Yoda et al. 1999; Tanaka et al. 20”
Prying into the intimate details of animal lives: use of a daily diary on animals (2008, methodology): “…studies published using this measure, one with great cormorants Phalacrocorax carbo, which showed a correlation coefficient between ODBA and VO2 (rate of oxygen usage) for birds walking at various speeds on a treadmill (all points from all individuals combined) of 0.81 (Wilson et al. 2006; our Fig.”
Personal thermal comfort models with wearable sensors (2019, background): “Likewise, an increased (positive gradient) heart rate and body acceleration might be associated with enhanced metabolism or energy expenditure [62,63].”
Accelerometers can measure total and activity-specific energy expenditures in free-ranging marine mammals only if linked to time-activity budgets (2017, methodology): “semi-captive settings, that is in controlled conditions (Wilson et al. 2006; Gleiss et al. 2010; Halsey et al. 2011; Fahlman et al. 2013).”
Biologging technologies: new tools for conservation. Introduction (2010, methodology): “For example, the use of tri-axial accelerometer tags (Wilson et al. 2006, 2008) has begun to resolve details of the 3-dimensional movement of tagged animals.”
What makes marine turtles go: A review of metabolic rates and their consequences (2008, methodology): “In addition to the DLW method, other field-based methods for estimating FMRs include deploying data loggers to measure heart rates (Butler et al., 2004) or changes in acceleration (Wilson et al., 2006).”
Behavioral impacts of disentanglement of a right whale under sedation and the energetic cost of entanglement (2014, positive): “Following Wilson et al. (2006) and Fahlman et al.”
Identifying shark mating behaviour using three-dimensional acceleration loggers (2010, methodology): “The potential to quantify relative or even absolute measures of energy expenditure using ODBA (Wilson et al. 2006, Gleiss et al. 2009a, Halsey et al. 2009) may also be useful for comparing the energetic investment of males and females during the mating season, which may be highly divergent (Springer”
Identification of imperial cormorant Phalacrocorax atriceps behaviour using accelerometers (2009, background): “Despite this, relatively few researchers have used tri-axial accelerometers for the study of animal behaviour, the exceptions being Johnson & Tyack (2003), and Wilson et al. (2006, 2008).”
Activity and diving metabolism correlate in Steller sea lion Eumetopias jubatus (2008, methodology): “A possible solution is to record triaxial dynamic acceleration given that greater limb movement will result in greater acceleration, which should correlate with energy expenditure in species with more variable swimming patterns (Wilson et al. 2006, 2008).”
Moved by that sinking feeling: variable diving geometry underlies movement strategies in whale sharks (2011, methodology): “In addition, appropriate processing of acceleration data gives an indication of the locomotory effort of equipped animals (Wilson et al. 2006; Gleiss, Gruber & Wilson 2009a; Green et al. 2009) so that both movement geometry and energetic cost can be integrated.”
Accelerating estimates of activity-specific metabolic rate in fishes: Testing the applicability of acceleration data-loggers (2010, methodology): “, 2008; Rutz and Hays, 2009), and has led to the development of analytical tools to estimate energy expenditure such as deriving Overall Dynamic Body Acceleration from tri-axial acceleration recorded at high frequency (ODBA; Wilson et al., 2006).”