Keys (Ateles geoffroyi)its highest value inside the wet season of
Keys (Ateles geoffroyi)its highest worth within the wet season of 204, right after a significant increase with respect to dry 204 (W , n , P 0.002), even though there have been no differences between seasons in 203 (W 44, n , P 0.three; S7 Table). The results for 204 indicate that men and women tended to have stronger associations with other folks inside the wet season, as predicted for passive associations when individuals can aggregate in larger subgroups and for longer periods if sources are abundant adequate. Conversely, the lack of change in typical strength in 203, points to active association processes. By looking at the clustering coefficient, we measured how connected men and women tended to be together with the rest on the network. The clustering coefficient in the association networks increased drastically in both wet seasons with respect to the preceding dry periods (203: W 66, n , P 0.003; 204: W 66, n , P 0.003; S7 Table) as predicted for the passive association hypothesis. Fig six is really a visual summary in the seasonal differences that we found inside the variables as we predicted in our framework (Fig ). All round, spaceuse and individual gregariousness had been supportive with the passive association hypothesis as observed in the seasonal reduce in core area, along with the increase in individual subgroup size. Following the 3level analysis framework for a sociospatial context driven by passive associations (Fig ), each wet seasons resulted in substantial increases in clustering coefficient values, and decreases in the coefficient of JNJ-54781532 chemical information variation for the dyadic association index. Even so, spatial association values did not modify in either year, contrary towards the expectation for this context. In addition, the seasonal pattern inside the correlation between subgroup size and dyadic associations changed in opposite directions each year, decreasing in 
203 and escalating in 204. Only the latter agreed with all the prediction for theFig six. Seasonal alter in sociospatial variables (yaxis) inside the wet vs. dry seasons of 203 (circles) and 204 (triangles). Outcomes are presented as normalized variations in between dry and wet seasons. Good values indicate increases in the dry to wet season, adverse values are decreases and values at zero indicate no seasonal adjust. 95 bootstrap self-confidence intervals were derived from 000 replications from the PubMed ID:https://www.ncbi.nlm.nih.gov/pubmed/26986084 seasonal differences in every variable (CA: core area; ISGS: person subgroup size; SDAI: spatial dyadic association index; R.DAI: random dyadic association index; DAI: dyadic association index; Strength: individual network strength; Clust Coeff: clustering coefficient), excepting the typical subgroup size (SGS), the coefficient of variation for the dyadic association index (CV.DAI) and also the correlation involving subgroup size and dyadic association index (SGS:DAI). Variables correspond to those presented in the 3level analysis framework (Fig ), also including the random probability of encounter measured by means of R.DAI. doi:0.37journal.pone.057228.gPLOS One DOI:0.37journal.pone.057228 June 9,7 Seasonal Alterations in SocioSpatial Structure inside a Group of Wild Spider Monkeys (Ateles geoffroyi)corresponding sociospatial context. Similarly, the patterns for subgroup size, dyadic association index and individual strength only partially followed the expected outcome, escalating considerably in 204 but not in 203. The latter results are suggestive of active avoidance processes operating in 203, especially taking into consideration the seasonal improve within the random association i.
