Table 1.

The relationship between social network segregation and shark bycatch

	Regression
Network group	1	2
E-A network	−0.217 (0.049)*	(Base)
K-A network	−0.031 (0.052)	0.187 (0.053)*
V-A network	(Base)	0.217 (0.049)*

Values shown are coefficients (and SEs) from two negative binomial regressions. The dependent variable is shark per fishing set in Hawaii's tuna longline fishery from 2008 to 2012 (n = 12,062). Controls accounting for the conditions under which fishers are operating include target species catch, vessel length, number of hooks, set location, soak time, temperature, type of bait, seasonality, lunar variability, and annual variability (see Table S3 for variable descriptions and Table S4 for full model results). SEs are clustered to account for multiple observations of 120 individual fishers.

^*Significance at P < 0.05.