广东象头山国家级自然保护区森林碳密度变化

KANG Ning; ZHANG Yue; CHEN Yu; DONG Jing-li; ZENG Yan-na; ZHANG Yun-ling; YANG Shi-min; MEI Qi-ming

doi:10.3969/j.issn.1009-7791.2024.03.006

亚热带植物科学 >

2024 , Vol. 53 >Issue 3: 227 - 233

DOI: https://doi.org/10.3969/j.issn.1009-7791.2024.03.006

研究论文

广东象头山国家级自然保护区森林碳密度变化

KANG Ning ,
ZHANG Yue ,
CHEN Yu ,
DONG Jing-li ,
ZENG Yan-na ,
ZHANG Yun-ling ,
YANG Shi-min ,
MEI Qi-ming

展开

(1. 广东象头山国家级自然保护区管理局，广东惠州 516000；2. 广州林芳生态科技有限公司，广东广州 510520)

收稿日期: 2024-04-14

录用日期: 2024-05-24

网络出版日期: 2024-08-23

基金资助

全省野生动物救护、监测、疫源疫病预警体系建设(象头山分点)项目

收起

Dynamics of Forest Carbon Density in Xiangtoushan National Nature Reserve, Guangdong Province

康宁，张粤，陈羽，董晶丽，曾燕娜，张运玲，杨诗敏，梅启明

Expand

(1. Guangdong Xiangtoushan National Nature Reserve Administration, Huizhou 516000, Guangdong China; 2. Guangzhou Linfang Ecological Technology Co., Ltd. Guangzhou 510520, Guangdong China)

Received date: 2024-04-14

Accepted date: 2024-05-24

Online published: 2024-08-23

Fold

摘要

为研究广东象头山国家级自然保护区典型森林群落的碳密度变化特征，根据象头山森林的植被类型和林龄，建立5个1 hm²森林生态系统监测样地，并在样方建设后5年完成样地复查，分析样方内的物种组成、径级结构和碳密度变化。结果显示：(1) 随着象头山森林的自然恢复，5个样地的个体密度均有明显提升，XTS-D样地的个体密度增长量最大，为2356株·hm^–2，而针阔混交林XTS-E样地的个体密度增长量最低，为228株·hm^–2。(2) 与初次调查相比，样地XTS-A、XTS-B、XTS-C和XTS-D碳密度均有增加，其中成熟林XTS-D样地内新增碳储量最高，增幅达22.41%；针阔混交林XTS-E的碳密度有所下降，降幅达9.23%。(3) 不同林龄样地径级结构有所差异，中等径级(Ⅳ和V)对成熟林XTS-A样地的碳储量贡献最大；大径级(Ⅸ)在过熟林XTS-B中碳储量最高；而幼、中龄林(XTS-C和XTS-D)的碳储量主要集中在中、小径级树木中(Ⅱ～Ⅳ)。(4) 5个样地碳密度排行前10的树种基本一致，XTS-E样地的马尾松Pinus massoniana虽然仍是碳密度和重要值较高的树种，但其个体数和重要值都有所下降；5个样地中碳密度增长最快的均为阔叶树种。

关键词： 森林碳密度; 植物群落; 重要值; 象头山国家级自然保护区

本文引用格式

KANG Ning , ZHANG Yue , CHEN Yu , DONG Jing-li , ZENG Yan-na , ZHANG Yun-ling , YANG Shi-min , MEI Qi-ming . 广东象头山国家级自然保护区森林碳密度变化[J]. 亚热带植物科学, 2024 , 53(3) : 227 -233 . DOI: 10.3969/j.issn.1009-7791.2024.03.006

Abstract

In order to study the dynamics of carbon density of typical forest communities in Xiangtoushan National Nature Reserve in Guangdong province (XTSNR), five 1-hm² forest ecosystem monitoring plots were constructed according to the vegetation type and age of the forest in XTSNR. The second censuses of the plots were conducted 5 years after the construction of the plots to analyze the changes of individual species, important values and carbon density within the plots. The results showed that: (1) With the natural restoration of the XTSNR forest, the individual density of the five plots increased significantly, and the individual density of the XTS-D plot increased the most (2356 plants·hm^–2), while that of the XTS-E plot of the coniferous and broad-leaved mixed forest increased the least (228 plants·hm^–2). (2) Compared with the initial census, the carbon density of XTS-A, XTS-B, XTS-C and XTS-D plots all increased, and the newly added carbon storage of mature forest XTS-D plots was the highest, with an increase of 22.41%. The carbon density of XTS-E mixed forest decreased by 9.23%. (3) The DBH class structures were different among the five plots; the middle DBH class (Ⅳ and V) contributed the most to the carbon storage of the mature forest XTS-A sample; large DBH class (Ⅸ) had the highest carbon storage in overmature forest XTS-B; the carbon storage of young and middle-aged trees (XTS-C and XTS-D) was mainly concentrated in trees of middle and small DBH classes (Ⅱ-Ⅳ). (5) The top 10 species of carbon density in the five plots were basically the same. Although Pinus massoniana in XTS-E plot was still a tree with high carbon density and important value, its individual number and important value decreased. Among the five plots, broad-leaved tree species showed the fastest increase in carbon density.

Key words： forest carbon density; plant community; important value; Xiangtoushan National Nature Reserve

参考文献

[1] 胡鞍钢. 中国实现2030年前碳达峰目标及主要途径[J]. 北京工业大学学报(社会科学版), 2021, 21(3): 1–15.

[2] Du Y J, Mi X C, Liu X J, Ma K. The effects of ice storm on seed rain and seed limitation in an evergreen broad-leaved forest in east China [J]. Acta Oecologica, 2012, 39: 87–93.

[3] 吴颖. 碳达峰与碳中和视角下森林生态与碳循环关系探讨[J]. 林业建设, 2021(5): 34–37.

[4] 黄观赟, 盖晴晴, 何碧胜, 黄晓晶. 2017—2022年广东江门古兜山保护区森林碳密度变化分析[J]. 南方农业, 2023, 17(12): 63–66.

[5] 张邦文, 金苏蓉, 邵虹, 邓清华, 韩天一. 基于小班尺度的乔木林碳储量和碳密度估算——以宁都县为例[J]. 南方林业科学, 2023, 51(4): 31–35.

[6] Qi Z Y, Li S M, Pang Y, Zheng G, Kong D, Li Z Y. Assessing spatiotemporal variations of forest carbon density using bi-temporal discrete aerial laser scanning data in Chinese boreal forests [J]. Forest Ecosystems, 2023, 10: 100135.

[7] Wu Y, Wang D Y, Qiao X J, Jiang M X, Gu Z R, Liu F. Forest dynamics and carbon storage under climate change in a subtropical mountainous region in central China [J]. Ecosphere, 2020, 11(3): e03072.

[8] Liang B, Wang J, Zhang Z Y, Zhang J, Zhang J P, Cressey E L, Wang Z. Planted forest is catching up with natural forest in China in terms of carbon density and carbon storage [J]. Fundamental Research, 2022, 2(5): 688–696.

[9] 康宁, 刘彩琴, 张粤, 刘欣, 陶君, 陈羽, 张运玲, 黄运梅, 李廷章, 李玉玲, 唐光大. 广东象头山国家级自然保护区兰科植物垂直分布格局[J]. 亚热带植物科学, 2022, 51(4): 306–312.

[10] 覃俏梅, 梅启明, 吴林芳, 曹洪麟, 王锋. 广东江门古兜山保护区光叶红豆种群径级结构与空间分布格局[J]. 广西科学院学报, 2023, 39(4): 426–432.

[11] 薛春泉, 陈振雄, 杨加志, 曾伟生, 林丽平, 刘紫薇, 张红爱, 苏志尧. 省市县一体化森林碳储量估测技术体系——以广东省为例[J]. 林业资源管理, 2022(4): 157–163.

[12] 王伯荪. 植物群落学实验手册[M]. 广州: 广东高等教育出版社, 1996.

[13] Dixon R K, Solomon A M, Brown S, Houghton R A, Trexier M C, Wisniewski J. Carbon pools and flux of global forest ecosystems [J]. Science, 1994, 263(5144): 185–190.

[14] 程煜. 中亚热带木荷马尾松林恢复过程的群落及凋落物特征研究[D]. 福州: 福建农林大学硕士学位论文, 2006.

[15] 程煜, 洪伟, 吴承祯. 木荷马尾松人工林不同恢复阶段物种多样性研究[J]. 福建林学院学报, 2006(2): 97–102.

[16] 吴志文, 谢双喜. 贵州苏铁自然保护区森林群落稳定性研究[J]. 中南林业调查规划, 2010, 29(4): 45–49.

[17] 李伟立, 余倩, 郭雪艳, 达良俊. 皖南次生马尾松林自然演替进程中的群落动态[J]. 生态学杂志, 2014, 33(8): 1997–2004.

[18] 黄健强, 邓永红, 曾小平, 孟泽, 张倩媚, 李跃林. 南亚热带针阔叶混交林生态系统水分利用效率[J]. 生态学杂志, 2020, 39(8): 2538–2545.

[19] Barrufol M, Schmid B, Bruelheide H, Chi X L, Hector A, Ma K, Michalski S, Tang Z Y, Niklaus P A. Biodiversity promotes tree growth during succession in subtropical forest [J]. PLoS One, 2013, 8(11): e81246.

[20] 黄华蓉. 广东韶关市公益林乔木层碳密度和碳储量研究[J]. 亚热带植物科学, 2022, 51(4): 282–287.

Options

文章导航

〈

〉

闽ICP备11008787号-5　

模态框（Modal）标题

摘要

本文引用格式

Abstract

参考文献