scholarly journals Tree species diversity and structural composition: The case of village common forest in Bandarban District, Bangladesh

2020 ◽  
Vol 4 (2) ◽  
Author(s):  
Morgubatul Jannat ◽  
Md. Kamruzzaman ◽  
Mohammed Kamal Hossain
Keyword(s):  
Species Diversity ◽  
Tree Species ◽  
Diversity Index ◽  
Tree Species Diversity ◽  
Height Range ◽  
Structural Composition ◽  
Number Of Species ◽  
Indigenous Tree Species ◽  
Unidentified Species ◽  
Number Of Individuals

Abstract. Jannat M, Kamruzzaman MD, Hossain MK. 2020. Tree species diversity and structural composition: The case of village common forest in Bandarban District, Bangladesh. Asian J For 4: 76-83. The study was conducted to explore indigenous tree species diversity of Babu para village common forest (VCF) in Bandarban District. Tree species diversity was assessed through stratified random sampling method using sample plots of 20 m × 20 m in size. Babu para VCF with an area of 40 acres has more than 406 individuals of 74 tree species belonging to 30 families, including eight unidentified species. Euphorbiaceae and Moraceae were the dominant families containing 7 species followed by Anacardiaceae (5 species), Mimosaceae (6 species), and Meliaceae (5 species). Both the number of tree species and number of individuals decreased regularly with the increase of total height except ≥ 30 m height range. Number of species and number of individuals was highest in the height range of (5-<10) m. Similar trend was found for dbh (cm) class distribution. Both the number of species and number of individuals were highest in the dbh range of (5-<15) cm. Babu para VCF has diverse floristic resources that seemed from the Shannon-Wiener’s diversity index (3.94), Simpson’s diversity index (0.025), Margalef’s richness index (12.15) and Species evenness index (0.92). The results depict the presence of rich indigenous tree species diversity in studied VCF.

scholarly journals Tree species diversity in the forest of Renikhayong para village in Bandarban, Bangladesh: a case study

2020 ◽  
Vol 5 (2) ◽  
pp. 115-126 ◽  
Author(s):  
M Jannat ◽  
M Kamruzzaman ◽  
MA Hossain ◽  
MK Hossain
Keyword(s):  
Species Diversity ◽  
Tree Species ◽  
Diversity Index ◽  
Sustainable Use ◽  
Tree Height ◽  
Diversity Indices ◽  
Tree Species Diversity ◽  
Height Range ◽  
Hill District ◽  
Number Of Individuals

The study was conducted to explore tree species diversity of Renikhayong para Village Common Forest (VCF) of Bandarban hill district. Stratified random sampling was carried out to assess the tree species diversity of the VCF. Renikhayong Para VCF with an area of 40 acres of land has more than 85 tree species belonging to 31 families, where Euphorbiaceae family was dominant containing 11 species followed by Rubiaceae (7 species), Moraceae (7 species), Meliaceae (5 species), Mimosaceae (5 species), Combretaceae (4 species), Lauraceae (4 species) and Anacardiaceae (3 species). Dominant tree species was Grewia nervosa. Renikhayong para VCF has diverse floristic resources that are known from the Shannon-Wiener’s diversity index (4.007), Simpson’s diversity index (0.028), Margalef’s richness index (13.21) and Species evenness index (0.90). However, number of species and number of individuals both were highest in the height range of 5 - <10 m. Similar trend was observed in dbh classes. Number of individuals were highest in dbh range of 5 - <15 cm and the lowest in ≥ 55 cm. The results depict the presence of maximum small trees in the VCF and decreasing the number of trees with the increase of tree height (m) and dbh (cm). Presence of diverse tree species and diversity indices indicate the importance and potential of the VCF for conservation and sustainable use. J. Biodivers. Conserv. Bioresour. Manag. 2019, 5(2): 115-126

scholarly journals Tree species diversity and structural composition: The case of Durgapur Hill Forest, Netrokona, Bangladesh

2019 ◽  
Vol 3 (1) ◽  
pp. 10-19 ◽  
Author(s):  
MD. RAYHANUR RAHMAN ◽  
Md. MIZANUR RAHMAN ◽  
Md. ARIF CHOWDHURY ◽  
JARIN AKHTER
Keyword(s):  
Species Diversity ◽  
Tree Species ◽  
Stand Structure ◽  
Diversity Index ◽  
Acacia Auriculiformis ◽  
Tree Species Diversity ◽  
Individual Tree ◽  
Height Range ◽  
Structural Composition ◽  
Shorea Robusta

Abstract. Rahman MdR, Rahman MdM, Chowdhury MdA, Akhter J. 2019. Tree species diversity and structural composition: The case of Durgapur Hill Forest, Netrokona, Bangladesh. Asian J For 3: 10-19. Tree species diversity and stand structure of Durgapur hill forest were assessed through stratified random sampling method using sample plots of 20 m x 20 m in size during the period of October 2017 to May 2018. A total of 1436 stems of ≥5 cm DBH of 56 tree species belonging to 50 genera and 29 families were enumerated from sample area. Density (855 stem ha-1) and Basal area (29.27 m2 ha-1) of tree species were enumerated. Besides, Shannon-Wiener’s, Margalef’s, Simpson’s and Pielou’s diversity index were recorded for all the tree species. The study showed that the most dominant 10 species have 58% of the total IVI (174.29 out of 300). Where, Acacia auriculiformis showed the maximum Importance Value Index (51.02) followed by Shorea robusta (24.23). Number of individual tree species were highest (49) in the height range of 7- <12 m whereas maximum (52) species were recorded in the DBH (cm) range of 5- <10 cm. However, Acacia auriculiformis, Shorea robusta, and Tectona grandis were found as the most dominant species based on hierarchical cluster analysis. Therefore, current study will be helpful to the future policymakers in formulating forest resource management plan of Durgapur hill forest.

scholarly journals TREE SPECIES DIVERSITY IN A PRISTINE MONTANE FOREST PREVIOUSLY UNTOUCHED BY HUMAN ACTIVITIES IN FOJA MOUNTAINS, PAPUA, INDONESIA

REINWARDTIA ◽  
2018 ◽  
Vol 17 (2) ◽  
Author(s):  
Asep Sadili ◽  
Kuswata Kartawinata ◽  
Herwasono Soedjito ◽  
Edy Nasriadi Sambas
Keyword(s):  
Species Diversity ◽  
Tree Species ◽  
Human Activities ◽  
Diversity Index ◽  
Basal Area ◽  
Montane Forest ◽  
Tree Species Diversity ◽  
Importance Value ◽  
Montane Forests ◽  
Species Area

ADILI, A., KARTAWINATA, K., SOEDJITO, H. & SAMBAS, E. N. 2018. Tree species diversity in a pristine montane forest previously untouched by human activities in Foja Mountains, Papua, Indonesia. Reinwardtia 17(2): 133‒154. ‒‒ A study on structure and composition of the pristine montane forest previously untouched by human activities was conducted at the Foja Mountains in November 2008. We established a one-hectare plot divided into 100 subplots of 10 m × 10 m each. We enumerated all trees with DBH ≥ 10 cm which diameters were measured, heights were estimated and habitats were noted. We recorded 59 species, 42 genera and 27 families, comprising 693 trees with the total basal area (BA) of 41.35 m2/ha. The forest had lower species richness compared to those of lowland forests in Kalimantan, and Sumatra and montane forests in West Java. The Shannon-Wiener’s diversity index was 3.22. Nothofagus rubra (Importance Value, IV=47.89%) and Parinari corymbosa (IV=40.3%) were the dominant species, constituting the basis for designating the forest as the Nothofagus rubra - Parinari corymbosa association. To date, the dominance of N. rubra is unique to the Foja Mountains, as elsewhere in Papua the montane forests were dominated by N. pullei or other species. The species-area curve indicated a minimal area of 5000 m2. On the family level Fagaceae (IV=53.23%), Chrysobalanaceae (IV=40.53%) and Myristicaceae (IV=26.43%) were dominant. Verti-cally the forest consisted of four strata (A–D). In each stratum Nothofagus rubra, Platea latifolia, Parinari corymbosa and Myristica hollrungii were dominant. The diameter class distribution of Nothofagus rubra, Parinari corymbosa and Platea latifolia led us to assume that these species were regenerating well.

scholarly journals Deep Learning Approaches for the Mapping of Tree Species Diversity in a Tropical Wetland Using Airborne LiDAR and High-Spatial-Resolution Remote Sensing Images

Forests ◽  
2019 ◽  
Vol 10 (11) ◽  
pp. 1047 ◽  
Author(s):  
Ying Sun ◽  
Jianfeng Huang ◽  
Zurui Ao ◽  
Dazhao Lao ◽  
Qinchuan Xin
Keyword(s):  
Remote Sensing ◽  
Deep Learning ◽  
Species Diversity ◽  
Spatial Resolution ◽  
Tree Species ◽  
High Spatial Resolution ◽  
Diversity Index ◽  
Tree Species Diversity ◽  
Individual Tree ◽  
Rgb Images

The monitoring of tree species diversity is important for forest or wetland ecosystem service maintenance or resource management. Remote sensing is an efficient alternative to traditional field work to map tree species diversity over large areas. Previous studies have used light detection and ranging (LiDAR) and imaging spectroscopy (hyperspectral or multispectral remote sensing) for species richness prediction. The recent development of very high spatial resolution (VHR) RGB images has enabled detailed characterization of canopies and forest structures. In this study, we developed a three-step workflow for mapping tree species diversity, the aim of which was to increase knowledge of tree species diversity assessment using deep learning in a tropical wetland (Haizhu Wetland) in South China based on VHR-RGB images and LiDAR points. Firstly, individual trees were detected based on a canopy height model (CHM, derived from LiDAR points) by the local-maxima-based method in the FUSION software (Version 3.70, Seattle, USA). Then, tree species at the individual tree level were identified via a patch-based image input method, which cropped the RGB images into small patches (the individually detected trees) based on the tree apexes detected. Three different deep learning methods (i.e., AlexNet, VGG16, and ResNet50) were modified to classify the tree species, as they can make good use of the spatial context information. Finally, four diversity indices, namely, the Margalef richness index, the Shannon–Wiener diversity index, the Simpson diversity index, and the Pielou evenness index, were calculated from the fixed subset with a size of 30 × 30 m for assessment. In the classification phase, VGG16 had the best performance, with an overall accuracy of 73.25% for 18 tree species. Based on the classification results, mapping of tree species diversity showed reasonable agreement with field survey data (R2Margalef = 0.4562, root-mean-square error RMSEMargalef = 0.5629; R2Shannon–Wiener = 0.7948, RMSEShannon–Wiener = 0.7202; R2Simpson = 0.7907, RMSESimpson = 0.1038; and R2Pielou = 0.5875, RMSEPielou = 0.3053). While challenges remain for individual tree detection and species classification, the deep-learning-based solution shows potential for mapping tree species diversity.

scholarly journals Structural composition and distribution of tree species of Dudhpukuria-Dhopachori Wildlife Sanctuary, Chittagong, Bangladesh

2018 ◽  
Vol 3 (1) ◽  
pp. 17-30 ◽  
Author(s):  
MA Hossain ◽  
MK Hossain ◽  
MS Alam ◽  
MM Abdullah Al Mamun
Keyword(s):  
Tree Species ◽  
Natural Regeneration ◽  
Sustainable Management ◽  
Dominant Species ◽  
The Other ◽  
Wildlife Sanctuary ◽  
Height Range ◽  
Structural Composition ◽  
Number Of Species ◽  
Successful Recruitment

Structural composition based on diameter and height class distribution of the tree species of Dudhpukuria-Dhopachori Wildlife Sanctuary, Chittagong, Bangladesh was assessed. A total of 183 tree species having ≥ 10 DBH belonging to 125 genera and 48 families was recorded from the study area. Different species were found to dominate in different DBH classes, i.e. Aporosa wallichii (4.06%), Artocarpus chama (1.54%) and Dillenia pentagyna (0.38%) dominated 10 - < 25 cm, 25 - < 40 cm and 40 - < 55 cm DBH, respectively. Swintonia floribunda was found in maximum (7 out of 8) number of DBH classes. Both the percentage of tree individuals (73.18%) and number of species (169) were highest in 10-24.5cm DBH range. Similarly, Dipterocarpus turbinatus (14.5-24.4m and 24.5-34.4m) and Swintonia floribunda (34.5-44.4m and 44.5-54.4m) were dominant in two height ranges each. On the other hand, height range 4.5 - 14.4 m was dominated by Aporosa wallichii (4.36%). Dipterocarpus costatus, Artocarpus chama, Syzygium firmum and Bombax insigne were found in all the height classes. Both the number of tree species and number of individual stems (167 species; 1,684 individuals) were highest in the height range of 4.5-14.4m. The number of species and tree individuals decreased linearly with increasing height. All these indicate that, there was a sustainable natural regeneration and successful recruitment of Aporosa wallichii, Dipterocarpus turbinatus, Lithocarpus acuminata, Grewia nervosa and Artocarpus chama in Dudhpukuria-Dhopachori Wildlife Sanctuary. Dipterocarpus turbinatus was found as dominant species as it constitures maximum (5.56%) percentage of all tree individuals. The findings of the study may be useful for protection, conservation and sustainable management of Dudhpukuria-Dhopachori Wildlife Sanctuary.J. Biodivers. Conserv. Bioresour. Manag. 2017, 3(1): 17-30

scholarly journals Tree Species Diversity and Abundance of Akure Forest Reserve, Ondo State, Nigeria

2021 ◽  
Vol 25 (8) ◽  
pp. 1415-1419
Author(s):  
O.M. Ogundele ◽  
P.O. Ige ◽  
Y.T. Owoeye ◽  
D.E. Abanikanda ◽  
O.O. Komolafe
Keyword(s):  
Species Diversity ◽  
Tree Species ◽  
Population Distribution ◽  
Diversity Index ◽  
Diversity Indices ◽  
Tree Species Diversity ◽  
Forest Reserve ◽  
Wiener Diversity Index ◽  
Permanent Sample Plot ◽  
Ondo State

This study was carried out to examine the tree species diversity and abundance in a natural forest ecosystem in the Southwestern region of Nigeria. Data were collected from a four equal size sampling plot of 50×50m in a permanent sample plot section of Akure Forest Reserve. All living trees with DBH ≥ 10cm were measured and identified. A total of 956 trees were encountered. These trees were from 42 genera and 20 families. Celtis zenkeri belonging to the family of Ulmaceae was the species with the highest population distribution while Sterculiaceae was the dominant family in the study area. The Shannon-Wiener Diversity Index (Hˈ) of 3.196 and species evenness of 0.84 were obtained from the study area. The high values of diversity indices obtained indicated that the forest is rich in biodiversity and hence should be protected from any forms of disturbance to enhance sustainability as well as protect the rare species in it from going into extinction.

scholarly journals Influence of elevations on woody tree species diversity in Nam Kar Natural Reserve of Daklak province, Vietnam

2016 ◽  
Vol 8 (2) ◽  
pp. 95-101
Author(s):  
Thi Thanh Huong Nguyen ◽  
Thi Nhu Quynh Chau
Keyword(s):  
Species Diversity ◽  
Species Composition ◽  
Tree Species ◽  
Stand Structure ◽  
Satellite Image ◽  
Landsat 8 ◽  
Tree Species Diversity ◽  
Number Of Species ◽  
Natural Reserve ◽  
Forest Strata

This paper describes the influence of elevation on woody tree species diversity in Nam Kar Natural Reserve of Daklak, of which remote sensing and GIS techniques were used as the tools in biodiversity inventory and assessment. The whole Reserve area was divided into four elevation classes based on DEM (Digital Elevation Model) using GIS technique. Landsat 8 satellite image was employed to stratify the forest into the four strata. A total of 4 transect lines of 100 m in length and 20 m in width (abbreviated as H1, H2, H3, and H4) established in east-west direction representing for 4 elevation classes was used for surveying biodiversity and stand structure. The different diversity indices were compared among the different elevation classes. The relationships between reflectance value of sat- ellite image, forest strata with biodiversity indices were also analysed. The result shows that the diversity of woody tree species is different among elevation classes. Based on sample plots a total of 135 tree species belonging to 42 genera was found in this area. Although a low inverse correlations were found between number of species composition, basal area, and tree density with DNs, most correlation was statistically insignificant 95%. However, a medium relation between forest strata and number of species composition were found with correlation coefficient r = 0.53 (P<0.00) in the area. Nghiên cứu này đánh giá đa dạng thực vật thân gỗ tại khu bảo tồn thiên nhiên Nam Kar theo các cấp độ cao khác nhau. Nghiên cứu đã sử dụng ảnh vệ tinh và kỹ thuật GIS để hỗ trong trong việc điều tra và đánh giá đa dạng sinh học. Toàn bộ khu bảo tồn được chia thành 4 cấp độ cao dựa vào mô hình số độ cao (DEM) được thực hiện bằng kỹ thuật GIS. Ảnh Landsat 8 đã được sử dụng để phân chia rừng thành 4 khối trạng thái. Có 4 ô tiêu chuẩn dạng dải có kích thước 100m chiều dài và 20m chiều rộng được đặt ở từng đai cao (viết tắt là H1, H2, H3, và H4) theo hướng cố định Đông – Tây để điều tra đa dạng sinh học và cấu trúc lâm phần của thực vật thân gỗ ở từng đai cao. Các chỉ số đa dạng sinh học đã được so sánh trong từng cấp độ cao. Mối quan hệ giữa giá trị ảnh, hiện trạng rừng với các chỉ số đa dạng cũng được phân tích. Kết quả nghiên cứu cho thấy có sự khác biệt về đa dạng loài thực vật thân gỗ theo từng đai cao. Dựa vào ô mẫu nghiên cứu cũng đã ước tính có 135 loài thuộc 42 chi có trong vùng nghiên cứu. Một số đặc điểm lâm phần như thành phần loài, tiết diệt ngang bình quân và mật độ cây có mối tương quan nghịch với giá trị ảnh vệ tinh tuy nhiên mối quan hệ này không có ý nghĩa thống kê ở độ tin cậy 95%. Tuy vậy nghiên cứu cho thấy có mối tương quan tương quan khá chặt giữa số loài và các khối hiện trạng rừng với hệ số tương quan là 0.53 ở mức P<0.00.

scholarly journals Analyzing the Relationship, Distribution of Tree Species Diversity, and Above-Ground Biomass on the Chitwan-Annapurna Landscape in Nepal

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Shiva Pokhrel ◽  
Chungla Sherpa
Keyword(s):  
Species Diversity ◽  
Sea Level ◽  
Tree Species ◽  
Diversity Index ◽  
Tree Species Diversity ◽  
Above Ground Biomass ◽  
Breast Height ◽  
Ground Biomass ◽  
The Relationship ◽  
Landscape Level

Forests provide numerous ecosystem goods and services. Their roles are considered as important for both climate mitigation and adaptation program. In Nepal, there are significant forest resources which are distributed in different regions; however, the studies on the spatial tree species distribution and the above-ground biomass and their relationship at the landscape level have not been well studied. This study aims to analyze the relationship, distribution of tree species diversity, and above-ground biomass at a landscape level. The data used for this study were obtained from the Forest Research and Training Center of Nepal, International Centre for Integrated Mountain Development (ICIMOD), and Worldwide Wildlife Fund (WWF-Nepal). The landscape has a mean of 191.89 tons ha−1 of the above-ground biomass. The highest amount of the above-ground biomass measured was 650 tons ha−1 with 96 individual trees, and the least was 3.428 tons ha−1. The measured mean height of the tree was 11.77 m, and diameter at breast height (DBH) was 18.59 cm. In the case of the spatial distribution of the above-ground biomass, plots distributed at the middle altitude range greater than 900 meters above sea level (m. a. s. l) to 3000 meters above sea level taking more amount of the above-ground biomass (AGB). Similarly, the highest plot-level Shannon diversity index (H’) was 2.75 with an average of 0.96 at the middle altitude region followed by the lower region with an average of 0.89 and least 0.87 at a higher elevation. Above-ground biomass (R2 = 0.48) and tree height (R2 = 0.506) significantly increased with increasing elevation up to a certain level increased of elevation. Diameter at breast height (DBH) showed significance (R2 = 0.364) but small increase with increasing elevation, while the relationship among tree species diversity index, above-ground biomass, and elevation showed a weak and very weak positive relationship with R2 = 0.018 and R2 = 0.002, respectively. Based on the overall results, it is concluded that elevation has some level of influence on the forest tree diversity and above-ground biomass. The finding of this study could be useful for landscape-level resource management and planning under various changes.

scholarly journals Community forestry adoption based on multipurpose tree species diversity towards to sustainable forest management in ICEF of University of Lampung, Indonesia

2018 ◽  
Vol 19 (3) ◽  
pp. 1102-1109 ◽  
Author(s):  
CHRISTINE WULANDARI ◽  
AFIF BINTORO ◽  
RUSITA RUSITA ◽  
TRIO SANTOSO ◽  
DURYAT DURYAT ◽  
...  
Keyword(s):  
Forest Management ◽  
Species Diversity ◽  
Tree Species ◽  
Sustainable Forest Management ◽  
Community Forestry ◽  
Diversity Index ◽  
Conservation Education ◽  
Tree Species Diversity ◽  
Multipurpose Tree ◽  
Multipurpose Tree Species

Wulandari C, Bintoro A, Rusita, Santoso T, Duryat, Kaskoyo H, Erwin, Budiono P. 2018. Community forestry adoption basedon multipurpose tree species diversity towards to sustainable forest management in ICEF of University of Lampung, Indonesia.Biodiversitas 19: 1102-1109. Integrated Conservation Education Forest (ICEF) of University of Lampung (Unila) at Wan AbdulRachman (WAR) Forest Park is a conservation forest which should be free from any kinds of human activities. In fact, more than 75%the area has been managed by community hence there is a need for management strategy through Community Forestry (CF). It is knownthat there are a lot of Multipurpose Tree Species (MPTS) that can be utilized for the community’s daily life. The research’s objectivesare to analyze the ability of the community to adopt CF scheme, to calculate the diversity index of MPTS and level of Skill KnowledgeAttitude (SKA) and to determine the correlation variables to sustainable CF. This study used Shannon-Wiener diversity index, analysisof SKA level and regression analysis for adoption level. The results of this study noted that at the research site has diversity index 0.115and 74.29% of plants are MPTS. Based on the data analysis, 168 respondents [89%] agree to adopt CF scheme and level of their SKA ismoderate therefore needs to increase this level towards to forest sustainability. There are three variables of community forestry adoptiontoward to sustainable forest management at ICEF: number of trees species, the volume of forest products that would be sold, and rolesof extension education.

scholarly journals Quantitative assessment of tree species diversity of Himchari National Park (HNP) in Cox’s Bazar, Bangladesh

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Saddam Hossen ◽  
Mohammed Kamal Hossain ◽  
Md. Akhter Hossain ◽  
Mohammad Fahim Uddin
Keyword(s):  
Species Diversity ◽  
Tree Species ◽  
National Park ◽  
Quantitative Assessment ◽  
Diversity Index ◽  
Tectona Grandis ◽  
The Other ◽  
Acacia Auriculiformis ◽  
Tree Species Diversity ◽  
Gmelina Arborea

Abstract. Hossen S, Hossain MK, Hossain MA, Uddin MF. 2020. Quantitative assessment of tree species diversity of Himchari National Park (HNP) in Cox’s Bazar, Bangladesh. Asian J For 5: 1-7. The aim of the study was to assess the tree species composition, dominance, and quantitative distribution of tree species of Himchari National Park, Cox’s Bazar in Bangladesh through stratified random sampling method using sample plots (51) of 20 m x 20 m in size during the period of January 2017 to May 2018. A total of 961 stems (dbh ≥ 5 cm) of 88 tree species belonging to 64 genera and 37 families were enumerated where the stem density and basal area were 457.39 stem ha-1 and 10.979 m2 ha-1 respectively. On the other hand, the species diversity index, Shannon-Wiener’s diversity index, Shannon’s maximum diversity index, species evenness index, Margalef’s diversity index, and Simpson’s diversity index were 0.092, 3.733 ± 0.0071, 4.477, 0.834, 12.667 and 0.039 ± 0.0003 respectively. The highest Importance Value Index (IVI) was found for Acacia auriculiformis (23.23) followed by Tectona grandis (13.05), Gmelina arborea (12.66), Syzygium fruticosum (12.34), Casuarina equisetifolia (10.57), and Dipterocarpus turbinatus (10.55). The IVI value represents that Acacia auriculiformis possess highest dominance that is followed by Tectona grandis and Gmelina arborea. Percentage distribution of tree individuals into different height classes found in quadrats showed that height range 3 - <8 m had the highest (59.83%) percentage of tree individuals. On the other hand, different dbh (having dbh ≥5 cm) classes showed that most of the trees (65.97%) belonged to dbh range 5 - <15 cm. The outcome of present study suggests for the protection, sustainable management, and conservation of the tree resources of HNP, Cox’s Bazar, Bangladesh.

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