树种多样性和结构组成:以孟加拉国Netrokona的Durgapur山林为例

Md. Rayhanur Rahman, Md. Mizanur Rahman, Md. Arif Chowdhury, Jarin Akhter
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引用次数: 5

摘要

摘要。张建军,张建军,张建军,等。2019。树种多样性和结构组成:以孟加拉国Netrokona的Durgapur山林为例。亚洲J: 3:10 -19。2017年10月至2018年5月,采用20 m × 20 m样地分层随机抽样方法,对杜尔嘎布尔山林树种多样性和林分结构进行了评价。在样区共收集到29科50属56种≥5 cm胸径的树干1436根。测定了各树种密度(855株ha-1)和基面积(29.27 m2 ha-1)。此外,所有树种的Shannon-Wiener’s、Margalef’s、Simpson’s和Pielou’s多样性指数均有记录。研究表明,10个优势种占总IVI的58%(174.29 / 300)。其中,金合欢(Acacia auriculiformis)的重要值指数最高,为51.02,其次是山梨(Shorea robusta),为24.23。单株树种数在7 ~ <12 m高度范围内最多(49种),在5 ~ <10 cm胸径范围内最多(52种)。分层聚类分析结果显示,金合欢(Acacia auriculiformis)、金合欢(Shorea robusta)和大地构造(Tectona grandis)为优势种。因此,本研究将有助于未来决策者制定杜尔噶布尔山林的森林资源管理计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tree species diversity and structural composition: The case of Durgapur Hill Forest, Netrokona, Bangladesh
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.
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