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Erratum for Green et al., J Exp Biol 212 (4) 471-482.
First published online February 13, 2009
Journal of Experimental Biology 212, 745-746 (2009)
Published by The Company of Biologists 2009
doi: 10.1242/jeb.030049

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Erratum

Estimating energy expenditure of animals using the accelerometry technique: activity, inactivity and comparison with the heart-rate technique

J. A. Green, L. G. Halsey, R. P. Wilson and P. B. Frappell

Several errors were published in the original online version of J. Exp. Biol. 212, 471-482. These errors occurred in both the PDF and full-text versions of the online article but have now been corrected. The print version is correct.

The captions of Figs 9 and 10 were truncated, and the caption published under Fig. 11 referred to Fig. 10.

View larger version (18K): [in this window] [in a new window]   Fig. 9. Rate of oxygen consumption as a function of heart rate in eight bantam chickens. Data were recorded while the chickens walked on a treadmill (filled squares), ate a meal of food pellets (filled triangles), digested the meal of food pellets (open triangles) or thermoregulated (open squares). Also plotted are two best-fit regression lines (solid line) and 95% confidence intervals (black dashed lines) and 95% prediction intervals (grey broken lines). 95% confidence intervals were calculated as if sO2 was estimated from one measurement of heart rate, during one additional behaviour by one additional chicken. 95% prediction intervals were calculated as if sO2 was estimated from 10,000 measurements of heart rate, during four additional behaviours by 100 additional chickens, effectively the smallest possible prediction interval for this model.

View larger version (17K): [in this window] [in a new window]   Fig. 10. Rate of oxygen consumption as a function of heart rate in eight bantam chickens. Data were recorded while the chickens walked on a treadmill (filled squares), ate a meal of food pellets (filled triangles), digested the meal of food pellets (open triangles) or thermoregulated (open squares). Also plotted are best-fit regression lines (solid line) and 95% confidence intervals (black broken lines) and 95% prediction intervals (grey broken lines). 95% confidence intervals were calculated as if sO2 was estimated from one measurement of heart rate, during one behaviour by one additional chicken. 95% prediction intervals were calculated as if sO2 was estimated from 10,000 measurements of heart rate, during four additional behaviours by 100 additional chickens, effectively the smallest possible prediction interval for this model.

View larger version (9K): [in this window] [in a new window]   Fig. 11. Simulation showing the effect of model selection on precision and accuracy when estimating the rate of oxygen consumption (O2) in bantam chickens. A day in the life of a chicken was repeatedly simulated where the proportion of time spent `active' was varied between 0 and 100%. (A) O2, (B) the standard error of the estimate (s.e.e.) and (C) the coefficient of variation (CV=100*s.e.e./Estimate) were calculated for this range of activity using four predictive approaches. Each of the four approaches used either partial dynamic body acceleration in the x and z axis (PDBAxz) or heart rate (fH) to predict O2. The approaches used were (1) one-model using PDBAxz (black solid lines), (2) two-model using PDBAxz (grey solid lines), (3) one-model using fH (black broken lines), (4) two-model using fH (grey broken lines). See text for further details of the four predictive approaches.

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This Article Figures Only Full Text (PDF) Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via Google Scholar Google Scholar Articles by Green, J. A. Articles by Frappell, P. B. Search for Related Content PubMed Articles by Green, J. A. Articles by Frappell, P. B. Social Bookmarking                         What's this?