Vegetation analysis of 10 urban forests in the city of Banda Aceh, Indonesia

Author:

DHARMA WIRA,ZAKARIA RAHMAD

Abstract

Abstract. Dharma W, Zakaria R. 2022. Vegetation analysis of 10 urban forests in the city of Banda Aceh, Indonesia. Biodiversitas 23: 4131-4137. The vegetation of urban forests is strongly influenced by the composition of trees planted in the forest area. In order to maintain its sustainability, complete vegetation data is needed as a basis for good urban forest management. The purpose of this study was to identify the species diversity of trees in 10 urban forests in the city of Banda Aceh. The study was conducted using the Cruising method with the count of all vegetation species found in urban forests in the city of Banda Aceh. Data analysis was done by the vegetation analysis method through the calculation of diversity index (H'), Relative Frequency (RF), Relative Density (RD), Relative Dominance (RB), and Importance Value Index (IVI). The results showed that the tree component of the area was composed of 50 tree species representing 2218 individuals. The highest IVI value was found in Samanea saman with an IVI value of 67.95, and the lowest was in Tamarindus indica species with an IVI value of 8.16. The diversity index in the observed urban forests was low, with the highest index in Tibang forest at only 0.37. In order to increase plant diversity in urban forests in the city of Banda Aceh, plant species enrichment is needed. It is expected to increase ecological functions in the surrounding environments.

Publisher

UNS Solo

Subject

Plant Science,Molecular Biology,Animal Science and Zoology

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3