Controlling for spatial preferences, the mixture model retrieved a total of 972 significant social clustering events (Y1 = 209; Y2 = 227; Y3 = 277; Y4 = 259). Calculating a weighted assortativity coefficient for each annual network revealed significant social assortment by spatial community membership ( r d w : Y1 = 0.204; Y2 = 0.129; Y3 = 0.176; Y4 = 0.130) when tested against a null model of 10 000 random networks (figure 1c). 074 (0.065), Y2: 0.129 (0.015), Y3: 0.177 (0.025), Y4: ?0.043 (0.042)). Mantel tests revealed that there was a strong correlation in the dyadic association strength between pairs for years 12 (n = 29, Mantel r = 0.74, CI = 0.13–0.30, p < 0.001), 23 (n = 35, Mantel r = 0.85, CI = 0.13–0.29, p < 0.001), 34 (n = 31, Mantel r = 0.78, CI = 0.13–0.27, p < 0.001) and finally for the duration of the study for years 14 (n = 22, Mantel r = 0.76, CI = 0.16–0.35, p < 0.001).
(b) Changes in class dimensions
The number of tagged sharks increased throughout the morning, for both communities (blue and red), peaking about (GLMM R 2 = 0.18, 0.10; F = 244.9, 111.9, p < 0.001, community 2, community 4, respectively; figure 2a). The number of tagged sharks detected then decreased, reaching a minimum by – before starting to increase at – (figure 2a). Footage from camera tags deployed on two sharks showed that group size typically varied between two and 14 individuals, with group size increasing throughout the morning and peaking in the afternoon (figure 2c, electronic supplementary material, video S4). Close following behaviour, where individuals were approximately less than 1 m from a conspecific, was commonly observed (electronic supplementary material, S4). It is likely that detection range of receivers will be reduced at night due to increased noise on the reef, which may influence our ability to detect individuals. However, the more gradual increase in shark numbers throughout the early morning as well camera footage still suggests diel changes in group size are genuine.
Contour 2. Diel months predicts changes in classification dimensions inside a couple largest groups. (a) Amount of acoustically tagged whales identified heated affairs during the core receivers improve rather all round the day for those into the a couple prominent organizations (reddish and bluish, figure step 1). (b) Physical stature need off an animal-borne cam from a gray reef shark getting into close following the behavior. (c,d) Digital camera mark derived minimal classification size changes all round the day getting a couple of people gray reef whales within area dos. (On the internet variation when you look at the colour.)
(c) Individual-mainly based activities
All of our basic IBMs indicated that people using only private information to help you to locate resources (loners) has actually lower fitness than others having fun with public and private advice (digital supplementary procedure, S5). Below every simulated issues off doing percentages of sufferer quality (active award) and you can spot occurrence, the new proportion from ‘loner’ individuals rapidly refused normally in order to extinction, until active rewards was indeed very high (digital additional situation, S5). All of our 2nd variety of models (private and public facts/certain CPFs, others wanderers) revealed that no matter what prey top quality, area density or even the creating proportion regarding wanderers in order to CPFs, in every model circumstances CPFs got far greater emergency minutes (profile step 3, digital second issue, S3 and you may S5). Whenever simulations were manage having smaller predictable spatial stability of sufferer patches, CPFs always got lengthened survival times than simply drifting foragers irrespective of patch occurrence otherwise high quality (profile 3c–f). Yet not, the real difference into the emergency time was most useful within highest spot densities and quality (contour step three, electronic second situation, S3 and you can S5).