Bats' high-risk, high-gain hunting tactics increase prey profitability elife elife
. Your article has been reviewed by 3 peer reviewers, including Yuuki Y Watanabe as Reviewing Editor and Reviewer #1, and the evaluation has been overseen by a Reviewing Editor and Detlef Weigel as the Senior Editor. The following individual involved in the review of your submission has agreed to reveal their identity: Brock Fenton .
Figure 2 As mentioned in the discussion, in addition to weather, what is the relationship between factors other than habitat in individuals that switch between gleaning and hawking relatively frequently and on foraging days? What about the relationship between a flight time from nest emergence and the number of food obtained up to that point ?
L381"The weight loss of these bats of 3-4%…" Table S1 shows that some individuals have a weight loss of nearly 10%. As I commented in Table S1, it is helpful to examine the effect of tagging in the lab, but it would be better to examine the effect of tagging on the actual field data. L444 L364 states that 18 Tag B loggers were recovered. Does this mean that the number of loggers recovered for Tag B was 18, of which 7 contained GPS data?
The writing is very dense, which also makes a barrier for the reader. The lack of focus and predictions makes it difficult for the reader to appreciate the major strengths and weaknesses. The techniques and data are more than just fine, but the context is lacking. We have added more explanatory text to explain the difference between the tag types, and added an extra paragraph in the methods to explain the reasoning behind the method . We agree that a diagram would be great to explain the analysis better, but with the current version of the manuscript, we are already at twelve supplemental figures, so we have not included further figures.L360 MEME microphone – Please write down the model number of the microphone.
We agree with your point and have added an additional figure to address this issue. Even though we agree that comparing labelled data between two people would be a good solution, we have instead chosen to compare our manual analysis with a reproducible automatic detection of aerial captures. We automatically identified buzzes in flight based on an automatic buzz-detector, and compared the results of the automatic detections and the manual detections.
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