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受光面对城市不同用地类型香樟生长的影响——以上海“城-郊”样带为例 |
何夏妍1,2, 赵敏1,2, 朱禧2,3, 魏艳艳1,2, 王京龙2,3, 刘雪莹1,2
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1.上海师范大学 环境与地理科学学院, 上海 200234;2.上海长三角城市湿地生态系统国家野外科学观测研究站, 上海 200234;3.上海师范大学 生命科学学院, 上海 200234
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摘要: |
以上海“城-郊”样带上不同用地类型的香樟为研究对象,通过固定样方调查香樟的受光面,以及反映香樟生长状况的生物学特征.结合数理统计方法,分析香樟树冠受光面对其生长的影响.结果显示:公共绿地类型香樟受光面等级较多集中于1级和5级,建设绿地受光面等级多集中在3级;香樟是一种重要的经济和生态植物,公共绿地中的香樟树冠比较广阔,建设绿地中的香樟树木密度相对更高;不同等级受光面对植物生长特性影响是显著的,与树高之间的相关性最高. |
关键词: 香樟 受光面 统计分析方法 城市绿地管理 |
DOI:10.3969/J.ISSN.1000-5137.2023.06.014 |
分类号:P 901 |
基金项目: |
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Effect of crown light exposure on the growth of Cinnamomum camphora in different urban land types: an example from the“urban-suburban”sample zone in Shanghai |
HE Xiayan1,2, ZHAO Min1,2, ZHU Xi2,3, WEI Yanyan1,2, WANG Jinglong2,3, LIU Xueying1,2
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1.College of Geography and Environmental Sciences, Shanghai Normal University, Shanghai 200234, China;2.Yangtze River Delta Urban Wetland Ecosystem National Field Observation and Research Station, Shanghai 200234, China;3.College of Life Sciences, Shanghai Normal University, Shanghai 200234, China
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Abstract: |
In this paper,the effect of crown light exposure on the growth of Cinnamomum camphora in different land types in the “urban-suburban” sample zone in Shanghai was investigated,for which the biological characteristics was analyzed through fixed samples,combined with mathematical and statistical method. The results showed that: the crown light exposure classes of Cinnamomum camphora in public green space types were more concentrated in 1 and 5,while the crown light exposure classes of Cinnamomum camphora in construction green space were more concentrated in 3; Cinnamomum camphora was an important economic and ecological plant,and the canopy of it in public green space was more extensive,while the tree density in construction green space was relatively high; the influence of different classes of crown light exposure on plant growth characteristics was significant,and the tree height became the most correlative factor for the crown light exposure. |
Key words: Cinnamomum camphora crown light exposure statistical analysis methods urban green space management |