TY - JOUR
T1 - Estimates for energy expenditure in free-living animals using acceleration proxies; a reappraisal
AU - Wilson, Rory P
AU - Börger, Luca
AU - Holton, Mark D.
AU - Scantlebury, D. Michael
AU - Gómez-Laich, Agustina
AU - Quintana, Flavio
AU - Rosell, Frank
AU - Graf, Patricia M.
AU - Williams, Hannah
AU - Gunner, Richard
AU - Hopkins, Lloyd
AU - Marks, Nikki
AU - Geraldi, Nathan
AU - Duarte, Carlos M.
AU - Scott, Rebecca
AU - Strano, Michael S.
AU - Robotka, Hermina
AU - Eizaguirre, Christophe
AU - Fahlman, Andreas
AU - Shepard, Emily L. C.
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: Part of this work was funded by KAUST via the Office for Sponsored Research (CAASE). E.L.C.S. has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant 715874). Data provided by R.S. and C.E. were funded by a grant from The Future Ocean Cluster of Excellence 80: ‘The Future Ocean' (CP1217, ‘The Future Ocean' is funded within the framework of the Excellence Initiative by the Deutsche Forschungsgemeinschaft (DFG) on behalf of the German federal and state governments) and a National Geographic grant (GEFNE69-13) to C.E. We thank the Organismo Provincial de Turismo for permits to work at Punta León and the CCT CENPAT-CONICET for institutional support. Device deployments in Punta León were supported by a grant from the Agencia Nacional de Promoción Científica y Tecnológica (PICT 2013 – 1229). Data provided by L.B. and R.W. were funded by a College of Science Research Grant by Swansea University. We thank the Associação Mico-Leão-Dourado (AMLD), Carlos Ruiz-Miranda and the Reserva Biológica de Poço das Antas for fieldwork assistance and for permits to work at the site.
PY - 2019/6/7
Y1 - 2019/6/7
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/656342
UR - https://onlinelibrary.wiley.com/doi/abs/10.1111/1365-2656.13040
UR - http://www.scopus.com/inward/record.url?scp=85068379591&partnerID=8YFLogxK
U2 - 10.1111/1365-2656.13040
DO - 10.1111/1365-2656.13040
M3 - Article
C2 - 31173339
SN - 0021-8790
VL - 89
SP - 161
EP - 172
JO - Journal of Animal Ecology
JF - Journal of Animal Ecology
IS - 1
ER -