林玮, 白青松, 陈雪梅, 等. 华南主要造林树种碳汇能力评价体系构建及优良碳汇树种筛选[J]. 西南林业大学学报(自然科学), 2020, 40(1): 28–37 . DOI: 10.11929/j.swfu.201812070
引用本文: 林玮, 白青松, 陈雪梅, 等. 华南主要造林树种碳汇能力评价体系构建及优良碳汇树种筛选[J]. 西南林业大学学报(自然科学), 2020, 40(1): 28–37 . DOI: 10.11929/j.swfu.201812070
Wei Lin, Qingsong Bai, Xuemei Chen, Dongcheng Liang, Yong Chen, Kena Xue, Boxiang He, Shanna Wen, Huiming Lian, Changliang Tang. Construction of the Carbon Sink Capacity Evaluation System of Main Afforestation Tree Species in South China and Selection of the Fine Carbon Sink Species[J]. Journal of Southwest Forestry University, 2020, 40(1): 28-37. DOI: 10.11929/j.swfu.201812070
Citation: Wei Lin, Qingsong Bai, Xuemei Chen, Dongcheng Liang, Yong Chen, Kena Xue, Boxiang He, Shanna Wen, Huiming Lian, Changliang Tang. Construction of the Carbon Sink Capacity Evaluation System of Main Afforestation Tree Species in South China and Selection of the Fine Carbon Sink Species[J]. Journal of Southwest Forestry University, 2020, 40(1): 28-37. DOI: 10.11929/j.swfu.201812070

华南主要造林树种碳汇能力评价体系构建及优良碳汇树种筛选

Construction of the Carbon Sink Capacity Evaluation System of Main Afforestation Tree Species in South China and Selection of the Fine Carbon Sink Species

  • 摘要: 以广东省东江林场11龄的乔木树种比较试验林为对象,测定52个树种地上部分的主干、侧枝、树皮和树叶的含碳量,分析比较不同树种、科及植被类型含碳量差异;利用层次分析法构建优良碳汇树种评价体系和评分标准,计算评估碳汇能力指标的综合指数A值,筛选优良碳汇树种。结果表明:不同树种、不同科及不同类型的含碳量差异均达极显著水平;同一树种含碳量高低依次是主干>侧枝>树皮>树叶,3种植被类型树种含碳量高低依次是常绿针叶>常绿阔叶>落叶阔树,小叶竹柏、马尾松、长叶竹柏、灰木莲等12个树种为高含碳量树种;兼顾生长量和含碳量综合评价,筛选出灰木莲、厚荚相思、马尾松等8个优良碳汇树种,可在华南南亚热带地区的碳汇造林中广泛应用。

     

    Abstract: In this study, the carbon content of trunk, lateral branches, bark and leaves of 52 tree species in the 11-year-old arbor species of comparative experimental forest in Dongjiang forest farm of Guangdong Province was measured. The carbon content differences among tree species, families and vegetation types were analyzed and compared. Using analytic hierarchy process to establish the superior carbon sink tree evaluation method , and estimate index ‘A’ value of carbon sink capacity. The results showed that carbon contents were significantly different among tree species, families and vegetation types, which provides basis for the selection of fine carbon sink species. The carbon content among tree species showed a rank of trunk >  lateral branch > bark > leaves. Comparative analysis among vegetation types indicated that evergreen coniferous species had the highest carbon content level, followed by evergreen broad-leaved species, deciduous broad-leaved species showed the lowest carbon content level. Twelve species including Podocarpus nagi, Pinus massoniana, Nageia fleuryi and Manglietia glance, etc. were considered as high level of carbon content species. After comparing the growth and carbon content, a total of 8 species including Manglietia glanca, Acacia farnesiana and Pinus massoniana were considered as fine carbon sink species. These tree species could be used in carbon sink afforestation in the south subtropical region of Guangdong Province.

     

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