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The aim of research is to analyze structural, terrain and climate effects on stand productivity represented by the wood volume current annual increment (CAIv) in native high mixed beech and fir (with spruce) forests. Here are used data from the Second national forest inventory in Bosnia and Herzegovina (B&H) obtained on 153 geo-coded sample plots. Relative density (RD), conifer's and broadleaf's basal area (BA) are used as structural variables. The terrain data were extracted from digital elevation model. Climate variables are co-kriging spatially modelled. The multiple linear regression (MLR) and canonical correlation analyses (CCA) were used for statistical analysis. The MLR and CCA identified structural and climate variables as significant. The CCA confirmed relationships between conifer's and broadleaf's stand productivity and structural variables (conifer's BA and RD) and two climate factors (average minimum temperature and average maximum precipitation). The shared variance between the two variable sets, across all functions was 86.7% (FWilks lambda = 27.4, p < 0.001). The first canonical function holds strong correlation with 76.4% shared variance. Conifers CAIv was the most contributing variable with 85.3% influenced by conifers BA related to structural variables (R = 0.92). The higher conifers CAIv is related to higher participation of conifers BA and higher RD. Higher broadleaves CAIv is related to higher RD and higher maximum precipitation while lower broadleaves CAIv with minimum temperature decreasing. Significant influence of terrain effects was not obtained. Significant climatic influences on the productivity of mixed stands should be consider in management planning of these forests. [ABSTRACT FROM AUTHOR]