广州典型风水林碳密度特征

马志婷; 周璋; 李意德; 陈德祥; 赵厚本; 骆土寿; 许涵; 陈洁; 吴建辉; 张霞

doi:10.11913/PSJ.2095-0837.2020.40506

广州典型风水林碳密度特征

马志婷^1,2,
周璋^1, ,,
李意德¹,
陈德祥¹,
赵厚本¹,
骆土寿¹,
许涵¹,
陈洁¹,
吴建辉¹,
张霞¹

1. 中国林业科学研究院热带林业研究所, 海南尖峰岭森林生态系统国家野外科学观测研究站, 广州 510520;
2. 南京林业大学, 南京 210037

基金项目:

广州市森林碳汇计量与监测研究项目（穗林园科信[2016]-06号）；广东省林业科技创新项目（2020KJCX006）。

详细信息

作者简介:
马志婷(1992-),女,硕士研究生,研究方向为森林生态学(E-mail:ioztm_22@126.com)。

通讯作者:
周璋,E-mail:zhouzhang315@126.com

中图分类号: Q948
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出版历程
- 收稿日期: 2019-11-13
- 修回日期: 2019-12-26
- 网络出版日期: 2022-10-31
- 发布日期: 2020-08-27

Carbon density in geomantic forests in Guangzhou, China

1. Research Institute of Tropical Forestry, Chinese Academy of Forestry, Jianfengling Long-term Research Station for Tropical Forest Ecosystem, Guangzhou 510520, China;
2. Nanjing Forestry University, Nanjing 210037, China

Funds:

This work was supported by grants from the Key Project of the Bureau of Forestry and Landscaping of Guangzhou and Forestry of Science and Technique Foundation of Guangdong Province (2020KJCX006).

摘要

摘要: 以广州市典型风水林为对象，对其生态系统全组分碳储量及其分配格局进行调查和估算，研究碳密度特征及其影响因素。结果显示：风水林生态系统平均碳密度为（259.17±69.67）t/hm²，其中，植被碳密度为（194.04±54.07）t/hm²（占74.9%）（其中以乔木层占绝对优势，达90%以上），土壤碳密度为（65.13±19.30）t/hm²（占25.1%）；植被和土壤碳密度之间呈显著正相关（P<0.05）；不同优势种类的风水林碳密度差异较大，以米槠（Castanopsis carlesii（Hemsl.）Hayata.）为优势的林分碳密度最大（310.57±62.65 t/hm²）。结果表明影响风水林碳密度的主要因子是林分胸高断面积、林分密度、土壤容重和土壤碳含量，其中，风水林碳密度与胸高断面积、土壤容重和土壤碳含量呈显著正相关，与林分密度呈显著负相关，与植物多样性无显著相关。研究结果对南亚热带林分改造和碳汇林营造具有重要科学意义。
- 风水林 /
- 碳密度 /
- 林分结构 /
- 物种多样性 /
- 土壤碳
Abstract: Typical geomantic forests were studied in Guangzhou, and their carbon (C) density composition and distribution patterns were investigated. Ecosystem, vegetation, and soil C density were (259.17±69.67) t/hm², (194.04±54.07) t/hm², and (65.13±19.30) t/hm², respectively. The C densities of different dominant species in the geomantic forests differed significantly, with the highest C density for Castanopsis carlesii (Hemsl.) Hayata. (310.57±62.65 t/hm²). The ecosystem C storage was dominated by the tree layer (more than 90% of the vegetation). The main factors that affected forest vegetation C density in the geomantic forest were mean tree diameter at breast height (DBH), stand basal area (BA), stand density, soil bulk density, and soil C content, but not the species diversity indices. These results confirmed the importance of stand structure on C storage and dynamic reallocation in geomantic forests. Therefore, improving the complexity of community structure in geomantic forests during forest management might enhance forest C storage.
- Geomantic forest /
- Carbon storage density /
- Stand structure /
- Species diversity /
- Soil carbon

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