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. 2016 Jul 22;11(7):e0158864. doi: 10.1371/journal.pone.0158864

Table 4. Results of generalized linear mixed-effects models of factors affecting fish, crayfish and grass shrimp biomass in the Florida Everglades, USA.

Model -2 Loglike k AICc ΔAIC wi R2
Fish Models
 - FISHBIOWET +MCRIND +REC +SUBMGVEG +FISHBIOWET*REC 1085.84 24 1137.17 0.00 0.75 0.3171
 -FISHBIOWET +MCRIND +REC +SUBMGVEG 1090.94 23 1140.00 2.83 0.18 0.3073
 GLOBAL 1083.73 27 1141.96 4.79 0.07 0.3211
: : : : : :
 NULL 1224.11 19 1264.08 126.91 0.00 0.0000
Crayfish Models
 GLOBAL 972.52 27 1030.76 0.00 1.00 0.3824
: : : : : :
 NULL 1146.08 19 1186.05 155.29 0.00 0.0000
Shrimp Models
 GLOBAL 804.54 25 858.17 0.00 0.71 0.2758
 + CRAYBIODRY +GRSHBIOWET +REC +MCRIND SUBMGVEG 810.86 23 859.92 1.75 0.29 0.2621
: : : : : :
 NULL 915.39 18 953.16 95.00 0.00 0.0000

Only models with ΔAICc < 7 and null models are shown. We show -2 log likelihood value (-2 Loglike), number of parameters (k), AIC values, differences in AIC between best model and each candidate model (ΔAIC), AIC weights (wi) and the likelihood coefficient of determination (R2). FISHBIOWET, wet-season fish biomass; MCRIND, microtopography index; REC, recession rate; SUBMGVEG, submerged vegetation; CRAYBIODRY, dry-season crayfish biomass; GRSHBIOWET, wet-season shrimp biomass.