南京林业大学学报(自然科学版) ›› 2022, Vol. 46 ›› Issue (5): 20-26.doi: 10.12302/j.issn.1000-2006.202108043

所属专题: “双碳”视域下的生态系统固碳增汇(2)

• 专题报道:“双碳”视域下的生态系统固碳增汇(2)(执行主编 阮宏华 李萍萍) • 上一篇    下一篇

温州市森林生态系统碳储量研究

雷海清1,2(), 孙高球3, 郑得利4   

  1. 1.浙江省亚热带作物研究所,浙江 温州 325005
    2.丽水职业技术学院,浙江 丽水 323000
    3.平阳县林业技术指导站,浙江 平阳 325400
    4.国营浙江省永嘉县四海山林场,浙江 永嘉 325115
  • 收稿日期:2021-08-30 修回日期:2022-01-20 出版日期:2022-09-30 发布日期:2022-10-19
  • 基金资助:
    中央财政林业科技推广示范项目((2016)TS 08)

Carbon storage of forest ecosystem in Wenzhou City, Zhejiang Province, China

LEI Haiqing1,2(), SUN Gaoqiu3, ZHENG Deli4   

  1. 1. Zhejiang Province Subtropical Crops Institute, Wenzhou 325005, China
    2. Lishui Vocantional and Technical College,Lishui 323000,China
    3. Pingyang County Forest Technical Station of Zhejiang Province, Pingyang 325400, China
    4. Yongjia County State Sihaishan Forest Farm of Zhejiang Province,Yongjia 325115,China
  • Received:2021-08-30 Revised:2022-01-20 Online:2022-09-30 Published:2022-10-19

摘要:

【目的】对浙江省温州市森林生态系统碳储量进行研究,摸清区域森林碳储量现状,为区域碳汇功能的评价提供基础数据。【方法】基于温州市2018年森林资源年度监测的马尾松林、其他松林、杉木林、柳杉林、柏木林、硬阔林、针叶混交林、阔叶混交林、针阔混交林、毛竹林等10种主要类型的森林资源监测数据,以及30个调查样地的实测数据,用平均生物量转换因子法计算不同森林类型的碳储量和碳密度,同时采用Pearson相关分析法对不同森林生态系统各组分之间有机碳储量进行相关性分析。【结果】2018年,温州市森林生态系统碳储量为81.70 Tg, 其中乔木层18.46 Tg,灌草层1.55 Tg,凋落物层1.02 Tg和土壤层60.67 Tg,分别占生态系统碳储量的22.60%、1.89%、1.25%和74.26%。温州市的森林生态系统碳密度为123.81 t/hm2,其中乔木层27.98 t/hm2,灌草层2.34 t/hm2,凋落物层1.54 t/hm2和土壤层91.95 t/hm2,土壤有机碳库为植被有机碳库的2.88倍。乔木层和土壤层有机碳储量是温州市森林生态系统的主要碳库,占全部森林生态系统有机碳储量的96.86%。乔木层碳密度最大的是柏木林,达到46.06 t/hm2;阔叶混交林碳密度最低,为20.50 t/hm2;土壤层中,碳密度最大的为柳杉林,达到136.97 t/hm2;最小的为其他松木林,为49.38 t/hm2。不同林分生态系统碳密度有一定差异,其中柳杉林碳密度最大(185.42 t/hm2),最低的是马尾松林(83.34 t/hm2)。各组分碳储量相关性分析表明,乔木层与凋落物层碳储量呈显著正相关关系(P<0.05),土壤层碳储量与森林生态系统碳储量呈极显著相关关系 (P<0.01),说明土壤层对整个生态系统碳储量的贡献最大。其他各组分之间相关关系均达不到显著水平。【结论】温州市森林生态系统碳密度略高于浙江省平均水平,但是低于全国平均水平,因此可以通过合理的森林经营管理措施提高森林碳密度。

关键词: 碳储量, 碳密度, 森林生态系统, 浙江省温州市

Abstract:

【Objective】The carbon storage of a forest ecosystem in Wenzhou City, Zhejiang Province was studied to understand the current situation of forest ecosystem carbon storage and provide data for the evaluation of the regional carbon sink function.【Method】Based on monitoring data from the 10 main forest resource types in Pinus massoniana forest, other pine forest, Cunninghamia lanceolata forest, Cryptomeria japonica var. sinensis forest, Cupressus funebris forest, hardwood forest, mixed coniferous forest, mixed broadleaved forest, mixed coniferous and broadleaved forest, and Phyllostachys edulis forest in Wenzhou City in 2018, as well as the data measured from 30 survey sample plots, the carbon storage and carbon density were calculated for different forest types by using the average biomass conversion factor method. The Pearson correlation analysis method was used to analyze the correlation of organic carbon storage among the different forest ecosystem components.【Result】The carbon storage of the forest ecosystem in Wenzhou City was 81.70 Tg, including 18.46 Tg in the tree layer, 1.55 Tg in the shrub and grass layer, 1.02 Tg in the litter layer, and 60.67 Tg in the soil layer, accounting for 22.60%, 1.89%, 1.25%, and 74.26% of the carbon storage of the ecosystem, respectively. The carbon density of the forest ecosystem in Wenzhou was 123.81 t/hm2, including 27.98 t/hm2 in the tree layer, 2.34 t/hm2 in the shrub and grass layer, 1.54 t/hm2 in the litter layer, and 91.95 t/hm2 in the soil layer. The soil organic carbon pool was 2.88 times that of the vegetation organic carbon pool. The organic carbon storage of the tree layer and the soil layer represented the main carbon pool of the forest ecosystem, accounting for 96.86% of the total organic carbon storage. In the arbor layer, the highest carbon density was recorded in the cypress forest (46.06 t/hm2) and the lowest carbon density was in the broadleaved mixed forest (20.50 t/hm2). In the soil layer, the highest carbon density was the Cryptomeria japonica var. sinensis forest (136.97 t/hm2) and the lowest was the other pine forests (49.38 t/hm2). There were some differences in the carbon density of the stand ecosystem for different species. The Cryptomeria japonica var. sinensis forest had the highest carbon density (185.42 t/hm2) and the Pinus massoniana forest had the lowest carbon density (83.34 t/hm2). There was a significant correlation between the carbon storage of the tree layer and the litter layer (P < 0.05). There was a highly significant correlation between the carbon storage of the soil layer and the carbon storage of the forest ecosystem (P < 0.01). This indicated that the soil layer contributed the most to the carbon storage of the entire ecosystem. The correlation between other components did not reach a significant level.【Conclusion】The carbon density of the forest ecosystem in Wenzhou was slightly higher than the average level in Zhejiang Province, but was lower than the average level of China. Therefore, improving the forest carbon density through sustainable forest management will be the focus of carbon sequestration forestry in the future in Wenzhou.

Key words: carbon storage, carbon density, forest ecosystem, Wenzhou City, Zhejiang Province

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