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林草资源研究 ›› 2023›› Issue (5): 148-154.doi: 10.13466/j.cnki.lczyyj.2023.05.018

• 研究简报 • 上一篇    

榕属植物在广东省古树名木中的地位和价值研究

陈芳(), 罗广军, 杨佐兵   

  1. 广东省林业调查规划院,广州 510520
  • 收稿日期:2023-08-29 修回日期:2023-10-26 出版日期:2023-10-28 发布日期:2023-12-20
  • 作者简介:陈芳,高级工程师,主要从事古树名木保护,石漠化生态修复等方面的研究工作。Email:274218942@qq.com
  • 基金资助:
    广东省林业科技计划项目(2020-KYXM-07)

Research on the Role and Value of Ficus in Ancient and Famous Tree of Guangdong Province

CHEN Fang(), LUO Guangjun, YANG Zuobing   

  1. Guangdong Forestry Survey and Planning Institute,Guangzhou 510520,China
  • Received:2023-08-29 Revised:2023-10-26 Online:2023-10-28 Published:2023-12-20

摘要:

采用文献分析和实地调查相结合的方法,对广东省榕属(Ficus)古树名木资源进行系统研究,分析榕属植物资源在广东省古树名木中所占的比重,以及种类组成、树龄组成、分布特征和价值。研究结果表明:1)按属分类,榕属古树和榕属名木在广东省古树和名木中的数量最多。榕属古树占广东省古树总数的29.13%,榕属名木占广东省名木总数的14.86%。2)榕属古树有20种,超过1 000 a的榕属古树有3种;榕属名木有4种。3)湛江市的榕属古树数量最多,占广东省榕属古树总数的13.84%;韶关市的一级和二级榕属古树最多,分别占广东省同级榕属古树总数的25.23%和16.55%。4)榕属古树具有独特的历史文化价值,以及经济、药用、科研和生态价值,并且许多价值潜力还有待人们去挖掘。

关键词: 榕属, 古树, 名木, 数量, 地位, 分布特征, 价值

Abstract:

The study used a combination of literature analysis and filed investigation to conduct a systematic and study ancient and famous trees of Ficus in Guangdong Province.The number,composition distribution characteristics and value of Ficus in ancient and famous trees of Guangdong province were studied.The results showed that:1)Categorized by genus,ancient trees and famous trees of Ficus have the largest number among ancient trees and famous trees in Guangdong Province,accounting for 29.13% and 14.86%,respectively.2)There are 20 species ancient trees,3 species of which are more than 1 000 a,and 4 species famous trees of Ficus.Zhanjiang city has a higher distribution of Ficus in ancient trees,accounting for 13.84%;Shaoguan city has a higher distribution of Ficus in ancient trees belonging to the first and second class,accounting for 25.23% and 16.55%,respectively;Ficus has important historical and cultural,economic,medicinal,scientific research and ecological value.

Key words: Ficus, ancient tree, famous tree, number, position, distribution characteristics, value

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