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. 2008 Feb 20;3(2):e1636. doi: 10.1371/journal.pone.0001636

Table 1. Correlates of amphibian threat risk.

Model k LL ΔBIC wBIC %DE Δ%DE
(a) Ecology/life-history
BS+RG 8 −580.785 0.000 0.975 46.11
BS+RG+HB+RC 12 −575.106 8.972 0.011 46.63
RG+RG2 8 −585.825 10.188 0.006 46.64
BS+RG+HB+FT 12 −575.858 10.519 0.005 46.56
BS+RG+HB+PC 12 −577.347 13.627 0.001 46.43
(b) Environmental context
BS+RG+TM+PV 10 −572.935 0.000 0.354 48.53 2.42
BS+RG+TM+PM+PV 11 −570.693 0.564 0.267 48.73 2.62
BS+RG+TM+TV+PV 11 −570.907 0.980 0.217 48.71 2.60
BS+RG+TM+PV+HL 11 −572.290 3.787 0.053 48.59 2.48
BS+RG+TM+PM+PV+HL 12 −569.931 4.102 0.046 48.80 2.69

The five most parsimonious generalized linear mixed-effects models investigating (a) life history correlates of threat risk (n = 2,494) and (b) environmental context, after accounting for effects of range and body size (n = 2,584). Models include nested (hierarchical) taxonomic (Order/Family) random intercepts and geographic distance random slopes to account for spatial autocorrelation. Models were ranked according to the Bayesian Information Criterion (BIC). For ecology/life history models, the five most highly BIC-ranked models accounted for >99 % of the posterior model weight (wBIC) of the total of 40 models considered. For environmental context, model weights were more evenly distributed among the 5 most highly ranked of the 75 models considered. Terms shown are RG = range (km2), BS = body size, HB = habit, RC = reproductive cycle, PC = presence/absence of parental care, and FT = fertilization type, TM = mean temperature, PV = precipitation range, PM = mean precipitation, TV = temperature range, HL = % habitat lost, HD = human density (people/km2) Also shown are number of parameters (k), maximum log-likelihood (LL), difference in BIC for each model from the most parsimonious model (ΔBIC) model weight (wBIC), percent deviance explained (%DE) in the response variable (threat probability) by the model under consideration, and the difference between the %DE for the current environmental context model and the base ∼BS+RG model (Δ%DE).