南阳市3种行道树的绿量增量及其原因解析
Green Volume Increment of Three Street Tree Species and Its Causes in Nanyang City
薄育新 1王红兵2
作者信息
- 1. 河南省南阳市园林绿化中心,河南 南阳 473000
- 2. 上海师范大学 生命科学学院,上海 200243
- 折叠
摘要
作为固碳增汇、美化环境的重要功能体,行道树是城市绿地系统中的重要组成部分,为促进城市行道树健康生长,提升其碳汇能力,以河南省南阳市的3 种行道树悬铃木(Platanus acerifolia)、香樟(Cynnamomum camphora)、栾树(Koelreuteria paniculata)为研究对象,以三维绿量为主要分析指标,调查评估行道树的绿量及其增量特征.结果表明,3 种行道树的单株绿量年增量分别为 36.93、50.47、62.54 m3,呈显著性差异(F=55.320,P<0.001),即栾树>香樟>悬铃木.生长在公园绿地的栾树和香樟的单株绿量年增量显著高于二者的行道树类型(F=39.995 和 79.106,P<0.001).行道树养护管理不足不当、生长立地条件差是路旁行道树绿量低下的主要原因,应加强行道树的管理管护,以期为"双碳"目标下的城市行道树规划管理提供借鉴.
Abstract
As an essential component of urban green space systems,street trees play a significant role in carbon sequestration and environmental beautification.To promote the healthy growth of urban street trees and enhance their carbon sequestration capacity,three street tree species of Platanus acerifolia,Cynna-momum camphora and Koelreuteria paniculata in Nanyang,Henan were taken as the research objects.Using three-dimensional green volume as the as the main analysis index,the study investigated and eval-uated the green volume and its increment characteristics of these street trees.The results showed that the annual increments of green volume per individual tree of the three species were 36.93,50.47 and 62.54 m3,respectively,showing a significant difference(F=55.320,P<0.001),ranked as K.paniculata>C.camphora>P.acerifolia.The annual increments of green volume per individual tree of K.paniculata and C.camphora were significantly higher in parks than that growing by road(F=39.995 and 79.106,P<0.001).Insufficient maintenance and improper management and poor growth habitats should be the main causes of low green volume of street trees.Therefore,the management and protection of street trees should be strengthened,to provide references for the planning and management of urban street trees under the goal of"double carbon".
关键词
行道树/三维绿量/园林绿化/碳汇/南阳市Key words
street tree/tree-dimensional green volume/landscaping/carbon sequestration/Nanyang City引用本文复制引用
出版年
2025
NETL
NSTL
万方数据