Supplementary Material: Context-dependent social behaviour: testing the interplay between season and kinship with raccoons; Karine Robert, Dany Garant, Eric Vander Wal, and Fanie Pelletier Appendix A: Supplementary Methods. Encounter rates and durations Proximity detecting technology has been shown to improve the quality of social data (Ryder et al., 2012). Although a recent review by Cross et al., (2012) refers to these data as “contacts” among individuals, here we use the term encounter. Whitehead (2009) distinguishes proximity or association as a “dyadic state” rather than “dyadic event”. Dyadic state data does not provide information on specific behaviours which occur while two individuals are engaged in an encounter; in exchange proximity collars provide continuous data at times and in locations where focal observations would not be possible. Therefore, the inferences about sociality made herein are predicated on a number of assumptions. (1) That proximal animals are associated and are more likely to be engaged in some social behaviour (Whitehead, 1997; 2009). We submit that two raccoons cannot be ≤ 2 body lengths from a conspecific without their presence being known and consequently affecting the state of the other animal. We also (2) assume that duration of encounters provides some valuable information. For example, we assume encounters that contain agonistic interactions are not likely to extend for as long as positive or neutral encounters. Genetic data Microsatellite loci amplification was obtained by employing primer sets chosen from Siripunkaw et al., 2008 (PLM 6, PLM 10, PLM 20), Cullingham, Kyle & White, 2006 (PLO2-14, PLO2-117, PLOM 2, PLOM 3, PLOM 15, PLOM 17, PLOM 20) and Fike et al., 2007 (PLOT-5). See Côté et al., 2012 for details. Literature Cited Côté, H., Garant, D., Robert, K., Mainguy, J. & Pelletier, F. (2012). Genetic structure and rabies spread potential in raccoons: the role of landscape barriers and sex-biased dispersal. Evol. Appl. 5, 393-404. Cross, P.C., Creech, T.G., Ebinger, M.R., Heisey, D.M., Irvine, K.M. & Creel, S. (2012). Wildlife encounter analysis: emerging methods, questions, and challenges. Behav. Ecol. Sociobiol. doi: 10.1007/s00265-012-1376-6 Cullingham, C.I., Kyle, C.J. & White, B.N. (2006). Isolation, characterization and multiplex genotyping of raccoon tetranucleotide microsatellite loci. Mol. Ecol. Note 6, 1030-1032. Fike, J.A., Drauch, A.M., Beasley, J.C., Dharmarahan, G., Jr O.E.R. (2007). Development of 14 multiplexed microsatellite loci for raccoons Procyon lotor. Mol. Ecol. 7, 525-527. Ryder, T.B., Horton, B., van den Tillaart, M., Morales, J.D.D. & Moore, I.T. (2012). Proximity data-loggers increase the quantity and quality of social network data. Biol. Letters. doi: 10.1098/rsbl.2012.0536 Siripunkaw, C., Kongrit, C., Faries, K.M., Monello, R.J., Gompper, M.E. & Eggert, L.S. (2008). Isolation and characterization of polymorphic microsatellite loci in the raccoon (Procyon lotor). Mol. Ecol. 8, 199-201. Whitehead, H. (1997). Analysing animal social structure. Anim. Behav. 53, 1053-1067. Whitehead, H. (2008). Analyzing animal societies: quantitative methods for vertebrate social analysis. Chicago: University of Chicago Press. Whitehead, H. (2009). SOCPROG programs: analysing animal social structures. Behav. Ecol. Sociobiol. 63, 765-778.