We studied woodland vegetation in broad-leaved deciduous woodlands of Metema in northwestern Amhara regional state,Ethiopia to determine plant community types and species distribution patterns and their relationships with environmental variables,including altitude,pH,cation exchange capacity,electrical conductivity(EC),and moisture.We used a selective approach with a systematic sampling design.A total of 74 quadrats,each 25m × 25m at intervals of 150 200 m were sampled along the established transect lines.For herbaceous vegetation and soil data collection,five subquadrats each 1m × 1m were established at the four corners and the center of each quadrat.Three community types were identified using TWINSPAN analysis.All three community types showed high diversity(Shannon-Weiner index),the highest in community type II at 3.55.The highest similarity coefficient was 0.49(49%) between community types II and III,reflecting 0.51(51%) dissimilarity in their species richness.The canonical correspondence ordination diagram revealed that the distribution pattern of community type I was explained by moisture while that of community types III and II was explained by EC and altitude and moisture,respectively.Altitude was the most statistically significant environmental variable,followed by moisture and EC in determining the total variation in species composition and distribution patterns while pH and cation exchange capacity were non significant.In conclusion,we recommend that any intervention should take into account these three discrete community types and their environmental settings to make the intervention more successful. We studied woodland vegetation in broad-leaved deciduous woodlands of Metema in northwestern Amhara regional state, Ethiopia to determine plant community types and species distribution patterns and their relationships with environmental variables, including altitude, pH, cation exchange capacity, electrical conductivity (EC), and moisture.We used a selective approach with a systematic sampling design. A total of 74 quadrats, each 25m × 25m at intervals of 150 200 m were sampled along the established transect lines. For herbaceous vegetation and soil data collection, five subquadrats each 1m × 1m were established at the four corners and the center of each quadrat. Three community types were identified using TWINSPAN analysis. All three community types showed high diversity (Shannon-Weiner index), the highest in community type II at 3.55. The highest similarity coefficient was 0.49 (49%) between community types II and III, reflecting 0.51 (51%) dissimilarity in their species richness.The canonical corres pondence ordination diagram revealed that the distribution pattern of community type I was explained by moisture while that of community types III and II was explained by EC and altitude and moisture, respectively. Altitude was the most significant significant environmental variable, followed by moisture and EC in determining the total variation in species composition and distribution patterns while pH and cation exchange capacity were non significant.In conclusion, we recommend that any intervention should take into account these three discrete community types and their environmental settings to make the intervention more successful.