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Brodie S, Taylor MD, Smith JA, Suthers IM, Gray CA, Payne NL. Improving consumption rate estimates by incorporating wild activity into a bioenergetics model. Ecol Evol 2016; 6:2262-74. [PMID: 27069576 PMCID: PMC4782250 DOI: 10.1002/ece3.2027] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2015] [Revised: 01/22/2016] [Accepted: 01/30/2016] [Indexed: 11/07/2022] Open
Abstract
Consumption is the basis of metabolic and trophic ecology and is used to assess an animal's trophic impact. The contribution of activity to an animal's energy budget is an important parameter when estimating consumption, yet activity is usually measured in captive animals. Developments in telemetry have allowed the energetic costs of activity to be measured for wild animals; however, wild activity is seldom incorporated into estimates of consumption rates. We calculated the consumption rate of a free-ranging marine predator (yellowtail kingfish, Seriola lalandi) by integrating the energetic cost of free-ranging activity into a bioenergetics model. Accelerometry transmitters were used in conjunction with laboratory respirometry trials to estimate kingfish active metabolic rate in the wild. These field-derived consumption rate estimates were compared with those estimated by two traditional bioenergetics methods. The first method derived routine swimming speed from fish morphology as an index of activity (a "morphometric" method), and the second considered activity as a fixed proportion of standard metabolic rate (a "physiological" method). The mean consumption rate for free-ranging kingfish measured by accelerometry was 152 J·g(-1)·day(-1), which lay between the estimates from the morphometric method (μ = 134 J·g(-1)·day(-1)) and the physiological method (μ = 181 J·g(-1)·day(-1)). Incorporating field-derived activity values resulted in the smallest variance in log-normally distributed consumption rates (σ = 0.31), compared with the morphometric (σ = 0.57) and physiological (σ = 0.78) methods. Incorporating field-derived activity into bioenergetics models probably provided more realistic estimates of consumption rate compared with the traditional methods, which may further our understanding of trophic interactions that underpin ecosystem-based fisheries management. The general methods used to estimate active metabolic rates of free-ranging fish could be extended to examine ecological energetics and trophic interactions across aquatic and terrestrial ecosystems.
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Affiliation(s)
- Stephanie Brodie
- School of Biological, Earth and Environmental SciencesEvolution and Ecology Research CentreUniversity of New South WalesSydneyNSW2052Australia
- Sydney Institute of Marine ScienceMosmanNSW2028Australia
| | - Matthew D. Taylor
- School of Biological, Earth and Environmental SciencesEvolution and Ecology Research CentreUniversity of New South WalesSydneyNSW2052Australia
- New South Wales Department of Primary IndustriesPort Stephens Fisheries InstituteLocked Bag 1Nelson BayNSW2315Australia
| | - James A. Smith
- School of Biological, Earth and Environmental SciencesEvolution and Ecology Research CentreUniversity of New South WalesSydneyNSW2052Australia
- Sydney Institute of Marine ScienceMosmanNSW2028Australia
| | - Iain M. Suthers
- School of Biological, Earth and Environmental SciencesEvolution and Ecology Research CentreUniversity of New South WalesSydneyNSW2052Australia
- Sydney Institute of Marine ScienceMosmanNSW2028Australia
| | - Charles A. Gray
- School of Biological, Earth and Environmental SciencesEvolution and Ecology Research CentreUniversity of New South WalesSydneyNSW2052Australia
- WildFish ResearchGrays PointNSW2232Australia
| | - Nicholas L. Payne
- School of Biological, Earth and Environmental SciencesEvolution and Ecology Research CentreUniversity of New South WalesSydneyNSW2052Australia
- National Institute of Polar ResearchTachikawaTokyo190‐8518Japan
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Hanuise N, Bost CA, Huin W, Auber A, Halsey LG, Handrich Y. Measuring foraging activity in a deep-diving bird: comparing wiggles, oesophageal temperatures and beak-opening angles as proxies of feeding. J Exp Biol 2010; 213:3874-80. [DOI: 10.1242/jeb.044057] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
SUMMARY
Quantification of prey consumption by marine predators is key to understanding the organisation of ecosystems. This especially concerns penguins, which are major consumers of southern food webs. As direct observation of their feeding activity is not possible, several indirect methods have been developed that take advantage of miniaturised data logging technology, most commonly: detection of (i) anomalies in diving profiles (wiggles), (ii) drops in oesophageal temperature and (iii) the opening of mouth parts (recorded with a Hall sensor). In the present study, we used these three techniques to compare their validity and obtain information about the feeding activity of two free-ranging king penguins (Aptenodytes patagonicus). Crucially, and for the first time, two types of beak-opening events were identified. Type A was believed to correspond to failed prey-capture attempts and type B to successful attempts, because, in nearly all cases, only type B was followed by a drop in oesophageal temperature. The number of beak-opening events, oesophageal temperature drops and wiggles per dive were all correlated. However, for a given dive, the number of wiggles and oesophageal temperature drops were lower than the number of beak-opening events. Our results suggest that recording beak opening is a very accurate method for detecting prey ingestions by diving seabirds at a fine scale. However, these advantages are counterbalanced by the difficulty, and hence potential adverse effects, of instrumenting birds with the necessary sensor/magnet, which is in contrast to the less accurate but more practicable methods of measuring dive profiles or, to a lesser extent, oesophageal temperature.
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Affiliation(s)
- Nicolas Hanuise
- Centre d'Études Biologiques de Chizé, CEBC–CNRS UPR 1934, F-79360, Villiers en Bois, France
- Institut Pluridisciplinaire Hubert Curien (IPHC), UMR 7178 CNRS-ULP, Département Ecologie, Physiologie et Ethologie (DEPE), 23 rue Becquerel, F-67087 Strasbourg cedex 2, France
| | - Charles-André Bost
- Centre d'Études Biologiques de Chizé, CEBC–CNRS UPR 1934, F-79360, Villiers en Bois, France
| | - William Huin
- Centre d'Études Biologiques de Chizé, CEBC–CNRS UPR 1934, F-79360, Villiers en Bois, France
| | - Arnaud Auber
- Institut Pluridisciplinaire Hubert Curien (IPHC), UMR 7178 CNRS-ULP, Département Ecologie, Physiologie et Ethologie (DEPE), 23 rue Becquerel, F-67087 Strasbourg cedex 2, France
| | - Lewis G. Halsey
- Department of Life Sciences, Roehampton University, Holybourne Avenue, London W15 4JD, UK
| | - Yves Handrich
- Institut Pluridisciplinaire Hubert Curien (IPHC), UMR 7178 CNRS-ULP, Département Ecologie, Physiologie et Ethologie (DEPE), 23 rue Becquerel, F-67087 Strasbourg cedex 2, France
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Green JA. The heart rate method for estimating metabolic rate: review and recommendations. Comp Biochem Physiol A Mol Integr Physiol 2010; 158:287-304. [PMID: 20869457 DOI: 10.1016/j.cbpa.2010.09.011] [Citation(s) in RCA: 141] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Under most circumstances heart rate (f(H)) is correlated with the rate of oxygen consumption (VO(2)) and hence the rate of energy expenditure or metabolic rate (MR). For over 60 years this simple principle has underpinned the use of heart rate to estimate metabolic rate in a range of animal species and to answer questions about their physiology, behaviour and ecology. The heart rate method can be applied both quantitatively and qualitatively. The quantitative approach is a two-stage process where firstly f(H) and MR are measured simultaneously under controlled conditions and a predictive calibration relationship derived. Secondly, measurements of heart rate are made and converted to estimates of MR using the calibration relationship. The qualitative approach jumps directly to the second stage, comparing estimates of f(H) under different circumstances and drawing conclusions about MR under the assumption that a relationship exists. This review describes the range of studies which have adopted either the quantitative or qualitative approach to estimating the MR of birds, mammals and reptiles. Studies have tended to focus on species, states and questions which are hard to measure, control or define using other techniques. For example, species studied include large, wide-ranging species such as ungulates, marine predators, and domestic livestock while research questions have concerned behaviours such as flight, diving and the effects of stress. In particular, the qualitative approach has applied to circumstances and/or species where it may be hard or impossible to derive a calibration relationship for practical reasons. The calibration process itself can be complex and a number of factors such as body mass, activity state and stress levels can affect the relationship between f(H) and VO(2). I recommend that a quantitative approach be adopted wherever possible but that this may entail deriving a calibration relationship which is practical and applicable, rather than the most accurate possible. I conclude with a series of recommendations for the application and development of this method.
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Affiliation(s)
- Jonathan A Green
- School of Environmental Sciences, University of Liverpool, Liverpool, L69 3GP, UK.
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