Energy metabolism and body temperature in the Griffon Vulture (Gyps fulvus) with comparative data on the Hooded Vulture (Necrosyrtes monachus) and the White-backed Vulture (Gyps africanus)

Prinzinger, Roland; Nagel, B.; Bahat, Ofer; Bögel, R.; Karl, Ewald; Weihs, D.; Walzer, Chris

doi:10.1046/j.1439-0361.2002.02039.x

Cited by 15 publications

(14 citation statements)

References 27 publications

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“…Therefore, in adult individuals, meteorological conditions at the Causses study site are not expected to greatly affect survival. To cope with changes in ambient temperature and limit the expenditure of energy, the body temperature of griffon vultures increases or decreases in relation to the ambient temperature, which buffers their metabolic rate over a large temperature range (Bahat et al , Prinzinger et al ). We hypothesize that metabolism degradation due to senescence may reduce the effectiveness of this regulation mechanism.…”

Section: Discussionmentioning

confidence: 99%

Age‐related variation and temporal patterns in the survival of a long‐lived scavenger

Chantepie

Teplitsky

Pavard

et al. 2015

Oikos

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Although senescence has been described for various fitness components in a wide range of animal species, few studies have studied senescence in long‐lived species, and little is known about its interactions with varying environmental conditions. Using a 32 year capture–mark–recapture dataset on the griffon vulture Gyps fulvus, we examined the demographic patterns of actuarial senescence and the patterns of year‐to‐year variation in survival rates. We found a significant, surprisingly late, decrease of annual survival probabilities from the age of 28 years onward and divided individual lifetimes into to three categories (juvenile, mid‐age and senescent birds). In agreement with the environmental canalization hypothesis, our analyses uncovered 1) higher temporal variation of annual survival probabilities in both the juvenile and senescent age classes compared to the mid‐age class and 2) low sensitivity of the population growth rate to the survival of both the juvenile and senescent age classes. Our results further suggested that the temporal variation in the survival of senescent birds might be related to intra‐annual changes in air temperature amplitudes. Finally, using population dynamics modeling, we revealed contrasting effects of the inclusion of the senescent age class on predicted population growth, depending on how survival rates were modeled. Altogether, our results demonstrate the existence of a class of senescent birds that exhibit distinct demographic properties compared to juvenile and mid‐age classes.

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Section: Discussionmentioning

confidence: 99%

Age‐related variation and temporal patterns in the survival of a long‐lived scavenger

Chantepie

Teplitsky

Pavard

et al. 2015

Oikos

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“…Nonetheless, once our knowledge about applying accelerometers improves, the high‐resolution time and energy data they will likely provide will be valuable for comparative studies between bird species (Prinzinger et al 2002, Zahedi and Khan 2007). Furthermore, such data may be useful for conservation physiologists (Wikelski and Cooke 2006).…”

Section: Discussionmentioning

confidence: 99%

Recording raptor behavior on the wing via accelerometry

Halsey

Portugal

Smith

et al. 2009

Journal of Field Ornithology

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Measuring body movements using accelerometry data loggers is a relatively new technique, the full applicability of which has yet to be tested on volant birds. Our study illustrates the potential of accelerometry for research on large birds by using the technique to record the behavior of three species of raptors, mainly during flight. A tri‐axial accelerometer was deployed on a trained Harris’ Hawk (Parabuteo unicinctus), Tawny Eagle (Aquila rapax), and Griffon Vulture (Gyps fulvus). Comparison of flight‐related variables calculated from video footage and that estimated from the acceleration data showed that the latter provided considerable and accurate information (usually <10% error) about the behavior of the birds, including wing‐beat frequency and when they glided and flapped. Acceleration data permitted tentative comparisons of relative movement‐specific rates of energy expenditure for the Griffon Vulture flying up versus flying down a small hill. The accelerometry data appeared to suggest, as expected, that the Griffon Vulture expended more energy flying uphill than flying back down. Our preliminary findings indicate that studies using accelerometers can likely provide information about the detailed time–energy budgets of large birds. Such information would aid in comparative analyses of behavior and energetics, and may also enhance efforts to conserve declining bird populations.

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“…balance and are likely to fast for extended periods (Prinzinger et al, 2002). The effects of these extremely deprived conditions can be further appreciated given that one LRF event lasted more than 2months.…”

Section: Variation In Vulture Flight Characteristics Across the Yearmentioning

confidence: 99%

Using tri-axial acceleration data to identify behavioral modes of free-ranging animals: general concepts and tools illustrated for griffon vultures

Nathan

Spiegel

Fortmann-Roe

et al. 2012

Journal of Experimental Biology

388

530

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Movement ecology and the integration of ecology, behavior and biomechanicsRecent advances in mechanistic modeling and tracking technology have enriched our capacity to disentangle the key parameters affecting movement processes and to characterize movement patterns accurately. These advances set the stage for integrating the four existing paradigms for studying movement -the random, biomechanical, cognitive and optimality approaches ( Fig.1) -in the form of a new cohesive 'movement ecology' framework . The biomechanical paradigm elucidates the machineries that enable individuals or propagules to move, including their physical mechanics, energetics and physiology, and thus focuses on the study of the motion capacity of individual organisms. The cognitive paradigm explores the mechanisms of gathering, processing and responding to the environment in a way that produces nonrandom movement in time and space and thus focuses on the navigation capacity of the individual. The optimality paradigm examines the relative efficacy of different movement strategies in optimizing some particular fitness currencies (e.g. energy gain or survival) over ecological or evolutionary timescales, and thus focuses mostly on the external factors affecting the internal state of the individual. The random paradigm analyzes the fit of observed animal tracks to various random walk models to assess, for example, search efficiency and thus focuses exclusively on the movement patterns. The movement ecology framework explicitly combines these basic components of movement and the links among them ( Fig.1) , which can be identified across all movement types and taxonomic groups . Thus, this framework offers a template for transdisciplinary integration of the four existing movement research paradigms ( Fig.1) to create jointly the new paradigm of movement ecology, devoted to the comprehensive study of all biological (whole-organism) movement phenomena. Movement ecology thus aims at unifying organismal movement research and aiding the development of a general theory of wholeorganism movements . To facilitate this unification, we need tools that can provide simultaneous information about the movement, energy expenditure and behavior of the studied organisms, and the environmental conditions they SummaryIntegrating biomechanics, behavior and ecology requires a mechanistic understanding of the processes producing the movement of animals. This calls for contemporaneous biomechanical, behavioral and environmental data along movement pathways. A recently formulated unifying movement ecology paradigm facilitates the integration of existing biomechanics, optimality, cognitive and random paradigms for studying movement. We focus on the use of tri-axial acceleration (ACC) data to identify behavioral modes of GPS-tracked free-ranging wild animals and demonstrate its application to study the movements of griffon vultures (Gyps fulvus, Hablizl 1783). In particular, we explore a selection of nonlinear and decision tree methods that include support vector mach...

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Energy metabolism and body temperature in the Griffon Vulture (Gyps fulvus) with comparative data on the Hooded Vulture (Necrosyrtes monachus) and the White-backed Vulture (Gyps africanus)

Cited by 15 publications

References 27 publications

Age‐related variation and temporal patterns in the survival of a long‐lived scavenger

Age‐related variation and temporal patterns in the survival of a long‐lived scavenger

Recording raptor behavior on the wing via accelerometry

Using tri-axial acceleration data to identify behavioral modes of free-ranging animals: general concepts and tools illustrated for griffon vultures

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