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盘远方,邱广龙,苏治南,邱思婷,潘良浩,范航清.红树林人工幼林与天然成熟林叶经济谱的区别和联系[J].广西科学院学报,2024,40(3):241-247. [点击复制]
- PAN Yuanfang,QIU Guanglong,SU Zhinan,QIU Siting,PAN Lianghao,FAN Hangqing.Differences and Connections of Leaf Economic Spectrum between Mangrove Sapling Plantation and Natural Mature Forest[J].Journal of Guangxi Academy of Sciences,2024,40(3):241-247. [点击复制]
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| 红树林人工幼林与天然成熟林叶经济谱的区别和联系 |
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盘远方1,2, 邱广龙1,2, 苏治南1,2, 邱思婷1,2, 潘良浩1,2, 范航清1,2
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| (1.广西科学院, 广西海洋科学院(广西红树林研究中心), 广西红树林保护与利用重点实验室, 广西北海 536000;2.自然资源部北部湾滨海湿地生态系统野外科学观测研究站, 广西北海 536015) |
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| 摘要: |
| 为揭示红树林人工幼林与天然成熟林叶经济谱的区别及关联，加深理解红树林人工幼林与天然成熟林对环境的适应机制。本研究以人工造林满1年的红树林人工幼林[木榄(Bruguiera gymnorhiza)、桐花树(Aegiceras corniculatum)、秋茄(Kandelia obovata)和白骨壤(Avicennia marina)]和天然成熟林(桐花树和秋茄)为研究对象，通过对人工幼林和天然成熟林叶功能性状[叶干物质含量(Leaf Dry Matter Content,LDMC)、比叶面积(Specific Leaf Area,SLA)、叶组织密度(Leaf Tissue Density,LTD)、叶厚度(Leaf Thickness,LT)、叶面积(Leaf Area,LA)和叶体积(Leaf Volume,LV)]的测定，分析人工幼林和天然成熟林不同叶功能性状的差异和关联情况。结果表明：(1)除LV外，其余叶功能性状在人工幼林和天然成熟林间均存在显著差异(P＜0.05)。其中，LDMC、SLA、LTD和LA为天然成熟林显著大于人工幼林，而LT则相反。(2)在人工幼林中仅有LV与LT、LA呈显著正相关，其他叶功能性状之间相关性不显著;在天然林中，SLA与LDMC，LTD与SLA、LA呈显著负相关，而LTD与LDMC，LV与LT、LA呈显著正相关。(3)人工幼林对红树林叶片所有性状进行投资，而成熟天然林主要侧重对LDMC、LTD和SLA的投资。本研究结果有助于理解红树林人工幼林与天然成熟林在生态适应过程、生长策略和资源分配方面的差异，为我国东南沿海红树林修复与造林工作提供了科学依据。 |
| 关键词: 红树林 人工幼林 天然林 叶功能性状 主成分分析 |
| DOI：10.13657/j.cnki.gxkxyxb.20241108.003 |
| 投稿时间：2024-03-02修订日期：2024-04-25 |
| 基金项目:“G228丹东至东兴广西滨海公路大风江大桥红树林恢复”项目(2021G228-0953)资助。 |
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| Differences and Connections of Leaf Economic Spectrum between Mangrove Sapling Plantation and Natural Mature Forest |
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PAN Yuanfang1,2, QIU Guanglong1,2, SU Zhinan1,2, QIU Siting1,2, PAN Lianghao1,2, FAN Hangqing1,2
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| (1.Guangxi Key Laboratory of Mangrove Conservationand Utilization, Guangxi Academy of Marine Sciences (Guangxi Mangrove Research Center), Guangxi Academy of Sciences, Beihai, Guangxi, 536000, China;2.Observation and Research Station of Coastal Wetland Ecosystemin Beibu Gulf, Ministry of Natural Resources, Beihai, Guangxi, 536015, China) |
| Abstract: |
| Revealing the difference and correlation of leaf economic spectrum between mangrove sapling plantation and natural mature forest can deepen the understanding of the adaptation mechanism of mangrove sapling plantation and natural mature forest to the environment.In this study,mangrove sapling plantation (Bruguiera gymnorhiza,Aegiceras corniculatum,Kandelia obovata and Avicennia marina) with one year of artificial afforestation and natural mature forests (Aegiceras corniculatum and Kandelia obovata) were studied.The leaf functional traits [Leaf Dry Matter Content (LDMC),Specific Leaf Area (SLA),Leaf Tissue Density (LTD),Leaf Thickness (LT),Leaf Area (LA) and Leaf Volume (LV)] of sapling plantation and natural mature forest were measured.The differences and correlations of different leaf functional traits between sapling plantation and natural mature forest were analyzed.The results showed that: (1) Except for LV,the other leaf functional traits were significantly different between sapling plantation and natural mature forest (P<0.05).Among them,LDMC,SLA,LTD and LA in natural mature forests were significantly larger than those in sapling plantation,while LT was the opposite.(2) In sapling plantation,only LV was significantly positively correlated with LT and LA,and the correlation between other leaf functional traits was not significant.In natural forests,SLA was negatively correlated with LDMC,LTD was negatively correlated with SLA and LA,while LTD was positively correlated with LDMC,LV was positively correlated with LT and LA.(3) Sapling plantation invested in all traits of mangrove leaf,while mature natural forests mainly focused on the investment in LDMC,LTD and SLA.The results of this study are helpful to understand the differences in ecological adaptation process,growth strategy and resource allocation between mangrove sapling plantation and natural mature forest,and provide a scientific basis for mangrove restoration and afforestation in southeastern coastal areas of China. |
| Key words: mangrove sapling plantation natural mature forest leaf functional traits principal component analysis |
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