Study site Durgapur is surrounded by Meghalaya state of India on the north, Purbadhala and Netrokona Sadar on the south, Kalmakanda on the east, and Dhobaura sub-district on the west. The study was conducted during October 2017 to May 2018. Durgapur Upazila (smallcity) of Netrokona District, having an area of 293.42 square kilometers and consists of seven Unions. The study area is located in the most northern part of Durgapur, having the coordinates of 25°7′30′′N and 90°41′18′′E (Wiki, 2018). Topographically, the study area is characterized by its large hillocks, known as“tilla”with irregular plain land. The soil pH fluctuates from 6 to 6.5 (Rashid, 1991). The highest temperature reaches to 30°C during May and coldest to around 10°C during January where the annual rainfall in this area is 2712 mm (CLIMATE-DATA. ORG, 2019). However, the temperature here averages 25.2°C and most of the precipitation here falls in June, averaging 581 mm. Data collection The study area was visited prior to the field work in 2017, to have a general idea of the site, topography, accessibility, and species composition. A complete stratified random quadrat method was adapted for this study. Where, a total of 42 sample plots (2 m × 2 m) were laid within the study area for the assessment of regeneration. Regenerated trees having≤2 cm diameter at breast height (DBH) was considered as seedlings. Seedlings of all species in each plot were identified and recorded by local and scientific names. The common tree species were identified directly in the field, while the fertile samples of the unknown tree species were collected for the prepara-tion of herbarium specimens. Collected plant specimens were dried in the sun following standard scientific method. Consultation was done with published journals and reference book like (Prain,1903; Uddin, Hassan, Rahman, & Arefin, 2012) and Encyclopedia of Flora and Fauna of Bangladesh (Ahmed et al., 2008) to determine the unknown species. Taxonomist from the Institute of Forestry and Environmental Sciences, University of Chittagong (IFESCU) and the Bangladesh Forest Research Institute (BFRI) also helped for species identification. Analysis of field data For many years, species richness, various diversity indices, species density, stem density, species importance value index are used to assess population dynamics and their diversity (Gimaret-Carpentier, Pélissier, Pascal, & Houllier, 1998). The field data were compiled and analyzed for family relative density (FD%), family relative diversity (Fr%), family importance value (FIV), density, relative density (RD%), frequency, relative frequency (RF%), abundance, relative abundance (RA%), and importance value index (IVI). Conservation status of regenerating trees of Durgapur was assessed following the Encyclopedia of Flora and Fauna of Bangladesh (Ahmed et al.,2008). In addition, to determine the dominance of regenerating seedlings, hierarchical cluster analysis was done using computer software package SPSS (version 23).