Figure 1 The probability of sighting a Cooper’s hawk (Accipiter cooperii) is significantly higher in the morning than ... Figure 1 The probability of sighting.

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Presentation transcript:

Figure 1 The probability of sighting a Cooper’s hawk (Accipiter cooperii) is significantly higher in the morning than ... Figure 1 The probability of sighting a Cooper’s hawk (Accipiter cooperii) is significantly higher in the morning than in the afternoon. Solid black line denotes observed hourly sighting probability for each calendar month. The gray-shaded polygon indicates the 95% range of the distribution of random sampling. Colored polygons highlight where the observed probability is above (red) or below (blue) the probability of observing that species if they were observed randomly throughout the day. Vertical dashed gray lines represent the mean sunrise (left) and sunset (right) times across all of the data for each month. This plot is replicated alongside similar plots for all other focal species in Supplementary Figures S2–S17. Unless provided in the caption above, the following copyright applies to the content of this slide: © The Author(s) 2018. Published by Oxford University Press on behalf of the International Society for Behavioral Ecology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.comThis article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model) Behav Ecol, Volume 30, Issue 1, 24 October 2018, Pages 172–180, https://doi.org/10.1093/beheco/ary133 The content of this slide may be subject to copyright: please see the slide notes for details.

Figure 2 Predator activity profiles match the profile of their prey, and are consistent within genus across ... Figure 2 Predator activity profiles match the profile of their prey, and are consistent within genus across continents. Plots of log ratio of the observed versus the upper (red) and lower (blue) quantiles of the 95% range expected by chance (see Figure 1). Each subpanel represents the data from one species, and each transparent polygon is the data from one month (thus each subpanel contains 12 red and 12 blue polygons). Dotted lines indicate mean sunrise and sunset times for dataset against which all data are plotted. Data are shown for both predators (upper rows) and prey (lower rows) for (a) North American species (eBird), and (b) Species from Great Britain/Ireland (BirdTrack). Predator species genera are illustrated by black outlines. Unless provided in the caption above, the following copyright applies to the content of this slide: © The Author(s) 2018. Published by Oxford University Press on behalf of the International Society for Behavioral Ecology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.comThis article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model) Behav Ecol, Volume 30, Issue 1, 24 October 2018, Pages 172–180, https://doi.org/10.1093/beheco/ary133 The content of this slide may be subject to copyright: please see the slide notes for details.

Figure 3 Predictive power of prey activity profiles is greatest when predicting the activity profile of specialist ... Figure 3 Predictive power of prey activity profiles is greatest when predicting the activity profile of specialist avian predators and other avian prey. Bar plot showing predictive power (Log2 information gain) of prey species on the activity profile of 1 prey species and each predator species from the same continent (only species from the same datasets were used for comparisons). For North American species (a) the training data comprised S. tristus, J. hyemalis, and H. mexicanus. For species from Great Britain/Ireland, (b) the training data comprised P. major, C. caeruleus, E. rubecula, and S. europaea. Gray bars show predictive power as information gained by using real training data compared to shifted training data (where overall shape of activity profile was maintained, but shifted in time by 0–17 h). Positive numbers show how much more informative real training data is compared to shifted data, when predicting the activity of the focal species (activity occurs at similar times). Negative numbers show the real training data is less informative than shifted training data (activity occurs at different times). Bootstrapping was used to create 95% confidence intervals on the values of the information gain by resampling the monthly activity profiles for each test species. P-values estimated from bootstrap evaluations denote whether the information gain was significantly different from zero (2-tailed test). Unless provided in the caption above, the following copyright applies to the content of this slide: © The Author(s) 2018. Published by Oxford University Press on behalf of the International Society for Behavioral Ecology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.comThis article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model) Behav Ecol, Volume 30, Issue 1, 24 October 2018, Pages 172–180, https://doi.org/10.1093/beheco/ary133 The content of this slide may be subject to copyright: please see the slide notes for details.