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. 2014 Nov 5;9(11):e110759. doi: 10.1371/journal.pone.0110759

Table 1. Posterior estimates of the covariate coefficient vector β of the linear model (Eq. 1) testing the effects of multiple covariates on the presence of white-pox disease on coral colonies of Acropora palmata monitored monthly from February 2003 to December 2009.

Fixed effects Mean Standard deviation 2.5% quantile 50% quantile 97.5% quantile Mode
Intercept −3.29 0.25 −3.79 −3.29 −2.83 −3.28
Northing 0.29 0.83 −1.32 0.29 1.89 0.28
Easting 0.44 0.81 −1.14 0.43 2.05 0.42
Colony size 0.30 0.09 0.12 0.30 0.47 0.30
Previous incidences 0.93 0.13 0.68 0.93 1.17 0.94
Distance −0.13 0.14 −0.41 −0.12 0.14 −0.12
Previous distance −0.07 0.06 −0.19 −0.07 0.04 −0.07
Water temperature 0.43 0.07 0.29 0.43 0.58 0.43
Solar insolation 0.02 0.07 −0.12 0.02 0.16 0.01

The 8 covariates were: (i) easting; (ii) northing; (iii) colony size; (iv) previous incidences of disease; (v) distance to nearest neighbor; (vi) distance to previously infected colony; (vii) water temperature; and (viii) solar insolation. Significant covariates are those with correlation coefficients that do not cross 0 within the 2.5 and 97.5% quantile. Rows that are bold indicate significant differences. Positive and negative values represent the directional relationship between the covariate and disease presence.