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Table 1 Forward selection of 30 landscape variables

From: Habitat selection by American beaver at multiple spatial scales

Model

DIC

Intercept

663.95

cropdist

661.06

shrubbd

661.60

shrubfq

661.62

cropdist + shrubfq

658.96

shrubbd + cropdist

659.24

shrubfq + hwbd

659.59

cropdist + shrubbd + wwetbd

657.21

cropdist + shrubbd + wwetbd + hbwetfq

655.15

  1. Step 1 selected single variables, which reduced the deviance information criterion by > 2.0, to form single-variable models. Step 2 added one of the remaining 29 variables to each of three selected single-variable models, respectively, resulting in three two-variable models which reduced DIC by > 2.0. Step 3 added 28 remaining variables to each of three resulting two-variable models, resulting in a three-variable model. Step 4 added each of remaining 27 variables to the selected three-variable model and resulted in a four-variable model. All 26 five-variable models had DIC values greater than that of the selected four-variable model