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1.My major concern with the paper is the conclusion that time spent on water is a large component of DEE for this species. The data presented do not demonstrate this point. The auklets spend 50% of their daily time-budget on water but only 25% of their energy budget. To me this suggests that time on water represents a considerable energy saving when compared to flying most obviously. Furthermore this ratio of time to energy is nearly identical to the two other species and three other studies presented in the paper. As such, the finding is in no way remarkable and certainly not different to the other species presented. This is not a query about novelty, but an observation that the data do not support the conclusion for this species which underlies the current thesis of the paper. 2.Another important point is the way in which the total energy expenditure of time on water during free-ranging is calculated. The animals dosed with DLW did not have their time-budget or location recorded. Thus the estimate of total energy expenditure on the water comes from an assumption both about the time spent and the temperature, both of which will influence this sum. Thus to make this the main finding when based on two estimates seems odd. Better to focus on the difference between air and water measured in the laboratory, which you can be much more sure of and compare to other seabirds. I recommend separately reporting the DEE from DLW, a value which is always welcomed for a new species and new study sytem. 3.The findings of the study seem valid in terms of the values that are produced. As noted in the manuscript, the values are consistent with similar species which gives confidence in the results. 4.Only 4 of 11 auklets injected with DLW were recovered. This is a low return rate and one of the four birds did not return for three days, which seems like quite a long time. This species is known to be prone to investigator disburbance (Sun et al. 2020). Please comment on the return rate and what implications this might have for your study findings. In particular, how representative might the behaviour of your birds be? 5.Line 275. Did you consider comparing your DEE measurement to predictions from the Seabird FMR Calculator ( _fmr_calculator/) and accompanying paper (Dunn, White & Green 2018) which is the most up to date meta-analysis of seabird DEE? Dunn, R.E., White, C.R. & Green, J.A. (2018) A model to estimate seabird field metabolic rates. Biology Letters, 14, 20180190.Elliott, K.H., Ricklefs, R.E., Gaston, A.J., Hatch, S.A., Speakman, J.R. & Davoren, G.K. (2013) High flight costs, but low dive costs, in auks support the biomechanical hypothesis for flightlessness in penguins. Proceedings of the National Academy of Sciences, 110, 9380-9384.Sun, A., Whelan, S., Hatch, S.A. & Elliott, K.H. (2020) Tags below three percent of body mass increase nest abandonment by rhinoceros auklets, but handling impacts decline as breeding progresses. Marine Ecology Progress Series, 643, 173-181.
A short writeup that gives an overview of the conversion process from a low poly quad mesh to NURBS surfaces, using Maya 2012 and Alias Automotive. The download includes the 3D models (free registration is required). 2ff7e9595c
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