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) Alterations in category proportions
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.
Shape dos. Diel several months forecasts changes in class dimensions from inside the several largest groups. (a) Amount of acoustically tagged sharks thought of in the core receivers boost significantly non-stop for people for the two premier teams (purple and you may bluish, shape step 1). (b) Physical stature grab from a pet-borne camera of a grey reef shark getting into intimate following the behavior. (c,d) Camera level derived lowest class dimensions changes non-stop to possess several people grey reef sharks inside neighborhood dos. (On line variation in the the colour.)
(c) Individual-oriented activities
All of our basic IBMs indicated that anybody only using information that is personal in order to locate info (loners) keeps much lower exercise than those playing with public and personal information (digital additional matter, S5). Lower than all the simulated situations regarding undertaking rates of sufferer high quality (active award) and you can spot thickness, the brand new ratio off ‘loner’ people easily refuted typically so you’re able to extinction, unless of course energetic advantages was quite high (electronic second matter, S5). Our very own 2nd a number of habits (individual and you may public info/particular CPFs, anyone else wanderers) showed that despite target top quality, spot thickness or perhaps the creating proportion out-of wanderers so you’re able to CPFs, in every model situations CPFs got far higher success minutes (shape step 3, electronic secondary question, S3 and you will S5). When simulations have been run having quicker foreseeable spatial balances out of prey spots, CPFs always had lengthened emergency moments than simply wandering foragers despite plot density or top quality (figure 3c–f). not, the difference inside the emergency big date is most useful from the higher area densities and you will high quality (shape step 3, electronic additional matter, S3 and S5).