Supporting Information Table S1. Aprioriselectionofenvironmentalcovariates for elk (Cervus canadensis manitobensis) toderiveresourceselectionfunction models and selectionratiosatthescaleofthe quarter section(n = 20,970) duringthehuntingseason(Sep-Feb) insouthwesternManitoba, Canada. Covariate Mean±S.E. Description of covariate Park 1.67 ±0.01 Minimum distancetoprotected area or refuge (RMNPandDMPP&F;km) Forestbuff 0.20 ±0.01 Proportionofdeciduousforest cover within a 5 km buffer around quarter section Town 9.08 ±0.12 Minimum distancetotown(km) Highway 2.32 ±0.03 Minimum distancetohighway (km) Forest 0.18 ±<0.001 Proportionofdeciduousforest cover within the quarter section Road 0.01 ±<0.001 Densityofroads (km2) Crop 0.44 ±0.01 Proportionofannualcereal/oilseed Stream 0.79 ±0.01 Minimum distancetostream (km) Water 0.03 ±<0.001 Proportionofwater cover includinglakes andrivers Forage 0.04 ±<0.001 Proportionofperennialforage crops Wetland 0.02 ±<0.001 Proportionofmarsh andfen Grassland 0.25 ±<0.001 Proportionofgrassland Table S2. Standardizedparameter estimatesfromlogisticregression resourceselectionfunction models for collaredandhunter-killedadultfemalesand juvenilemales duringthehuntingseason (September–March;2002–2012) insouthwestern Manitoba,Canada. Model-averaged β coefficient for eachpredictor covariatederived froman average of allpossiblemodelswith a change inAkaike value< 2 (ΔAIC, 2.0).CovariatesaredescribedinSupportingInformation, TableS1. CollaredFemales CollaredMales Hunter-killed Females Hunter-killed Males Covariate β Coefficient β Coefficient β Coefficient β Coefficient Park (km) -1.35 -2.70 -0.74 -0.68 Forest (%) 0.49 0.87 0.78 0.35 Forestbuff(%) -0.61 -0.87 0.73 0.67 Highway (km) 1.39 -- 0.33 0.50 Road (km2) -0.03 -0.22 -0.73 -0.74 Town(km) 0.91 0.77 0.99 1.44 Grassland (%) -- -- -0.39 -0.13 Forage(%) -- -- -- -- Crop(%) -0.09 0.60 -- -- Water (%) -0.04 -0.13 -2.13 -1.96 Wetland(%) -- -- -0.55 -0.47 Stream (km) -- -- 1.44 1.49Figure S1. Overallschematicoutlineoftheanalyses tomap diseaserisk managementareas.