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 category 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.
Figure 2. Diel several months forecasts alterations in class proportions in a few premier organizations. (a) Quantity of acoustically marked sharks seen within core receivers boost notably for hours on end for individuals in a couple premier organizations (reddish and you will bluish, contour step 1). (b) Physique grab away from a pet-borne camera out-of a grey reef shark entering personal pursuing the conduct. (c,d) Cam level derived minimum category size changes throughout the day to own a couple women grey reef sharks contained in this people 2. (On the internet variation inside the colour.)
(c) Individual-based patterns
Our very own first IBMs indicated that some one only using personal data to help you locate information (loners) has actually lower exercise as opposed to those having fun with public and private pointers (digital second matter, S5). Lower than most of the simulated conditions regarding undertaking http://datingranking.net/green-singles-review/ ratios from target top quality (effective prize) and you may spot density, this new proportion from ‘loner’ people quickly declined normally in order to extinction, unless of course energetic advantages was indeed extremely high (digital additional situation, S5). Our next variety of patterns (personal and you can social details/certain CPFs, other people wanderers) showed that no matter target top quality, spot density and/or performing ratio out of wanderers in order to CPFs, in every modelling scenarios CPFs got far deeper emergency minutes (figure step 3, electronic second issue, S3 and S5). When simulations was basically work at that have quicker foreseeable spatial balance away from prey patches, CPFs always had prolonged survival minutes than just wandering foragers regardless of plot occurrence or high quality (figure 3c–f). Yet not, the difference within the survival day try better from the highest area densities and you can quality (figure step three, digital second issue, S3 and you may S5).