51. Estimates for energy expenditure in free‐living animals using acceleration proxies; a reappraisal
- Author
-
Nathan R. Geraldi, Agustina Gómez-Laich, Hannah J. Williams, Frank Rosell, Nikki J. Marks, Richard Gunner, Flavio Quintana, Patricia Maria Graf, Carlos M. Duarte, Rebecca Scott, Mark D. Holton, Emily L. C. Shepard, Hermina Robotka, Michael S. Strano, Lloyd W. Hopkins, Andreas Fahlman, Rory P. Wilson, Christophe Eizaguirre, D. Michael Scantlebury, and Luca Börger
- Subjects
0106 biological sciences ,Computer science ,Movement ,Acceleration ,WILD ANIMALS ,010603 evolutionary biology ,01 natural sciences ,Proxy (climate) ,Article ,purl.org/becyt/ford/1 [https] ,Ciencias Biológicas ,MOVEMENT COSTS ,Econometrics ,Animals ,Total energy ,purl.org/becyt/ford/1.6 [https] ,Ecology, Evolution, Behavior and Systematics ,Metabolic power ,DOUBLY LABELLED WATER ,010604 marine biology & hydrobiology ,DYNAMIC BODY ACCELERATION ,Zoología, Ornitología, Entomología, Etología ,ENERGY EXPENDITURE ,Energy expenditure ,Metabolic rate ,Animal Science and Zoology ,Energy Metabolism ,CIENCIAS NATURALES Y EXACTAS - Abstract
It is fundamentally important for many animal ecologists to quantify the costs of animal activities, although it is not straightforward to do so. The recording of triaxial acceleration by animal-attached devices has been proposed as a way forward for this, with the specific suggestion that dynamic body acceleration (DBA) be used as a proxy for movement-based power. Dynamic body acceleration has now been validated frequently, both in the laboratory and in the field, although the literature still shows that some aspects of DBA theory and practice are misunderstood. Here, we examine the theory behind DBA and employ modelling approaches to assess factors that affect the link between DBA and energy expenditure, from the deployment of the tag, through to the calibration of DBA with energy use in laboratory and field settings. Using data from a range of species and movement modes, we illustrate that vectorial and additive DBA metrics are proportional to each other. Either can be used as a proxy for energy and summed to estimate total energy expended over a given period, or divided by time to give a proxy for movement-related metabolic power. Nonetheless, we highlight how the ability of DBA to predict metabolic rate declines as the contribution of non-movement-related factors, such as heat production, increases. Overall, DBA seems to be a substantive proxy for movement-based power but consideration of other movement-related metrics, such as the static body acceleration and the rate of change of body pitch and roll, may enable researchers to refine movement-based metabolic costs, particularly in animals where movement is not characterized by marked changes in body acceleration. Fil: Wilson, Rory P.. Swansea University; Reino Unido Fil: Börger, Luca. Swansea University; Reino Unido Fil: Holton, Mark. Swansea University; Reino Unido Fil: Scantlebury, D. Michael. The Queens University of Belfast; Irlanda Fil: Gómez Laich, Agustina Marta. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto de Biología de Organismos Marinos; Argentina Fil: Quintana, Flavio Roberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto de Biología de Organismos Marinos; Argentina Fil: Rosell, Frank. University of South‐Eastern Norway; Noruega Fil: Graf, Patricia M.. Universitat Fur Bodenkultur Wien; Austria. University of Ljubljana; Eslovenia Fil: Williams, Hannah. Swansea University; Reino Unido Fil: Gunner, Richard. Swansea University; Reino Unido Fil: Hopkins, Lloyd. Swansea University; Reino Unido Fil: Marks, Nikki. The Queens University of Belfast; Irlanda Fil: Geraldi, Nathan R.. King Abdullah University of Science and Technology; Arabia Saudita Fil: Duarte, Carlos M.. King Abdullah University of Science and Technology; Arabia Saudita Fil: Scott, Rebecca. Geomar-Helmholtz Centre for Ocean Research Kiel; Alemania Fil: Strano, Michael S.. Massachusetts Institute of Technology; Estados Unidos Fil: Robotka, Hermina. Max Planck Institute für Ornithologie; Alemania Fil: Eizaguirre, Christophe. , Queen Mary University of London; Reino Unido Fil: Fahlman, Andreas. undación Oceanogràfic de la Comunidad Valenciana; España Fil: Shepard, Emily L. C.. Swansea University; Reino Unido. Max Planck Institute für Ornithologie; Alemania
- Published
- 2020