胡雪凡, 张钰箫, 段光爽, 等. 北京国家植物园典型植被碳储量研究[J]. 自然保护地,2024,4(0):1−12. DOI: 10.12335/2096-8981.2023121102
引用本文: 胡雪凡, 张钰箫, 段光爽, 等. 北京国家植物园典型植被碳储量研究[J]. 自然保护地,2024,4(0):1−12. DOI: 10.12335/2096-8981.2023121102
HU X F, ZHANG Y X, DUAN G S, et al. Carbon storage distribution pattern of typical vegetation in China National Botanical Garden[J]. Natural Protected Areas, 2024, 4(0): 1−12. DOI: 10.12335/2096-8981.2023121102
Citation: HU X F, ZHANG Y X, DUAN G S, et al. Carbon storage distribution pattern of typical vegetation in China National Botanical Garden[J]. Natural Protected Areas, 2024, 4(0): 1−12. DOI: 10.12335/2096-8981.2023121102

北京国家植物园典型植被碳储量研究

Carbon storage distribution pattern of typical vegetation in China National Botanical Garden

  • 摘要:
    目的 为国家植物园的园林合理配置、固碳增汇措施和精准养护提供数据支撑,大力推进园林绿化和碳汇的可持续发展。
    方法 以国家植物园主要绿地植被为研究对象,将其划分森林林木、园林乔木、园林灌木、草本和竹类5类,在国家植物园2019年普查数据基础上,实施分层典型抽样和补充调查获取实测数据,并基于行业标准的生物量模型和碳计量参数,探究国家植物园典型植被碳储量和碳密度分布格局及其影响因素。
    结果 结果表明,国家植物园2022年植被总碳储量预估为8 904.71 t,碳储量排序为园林乔木>森林林木>草本>竹类>园林灌木。乔木在国家植物园植被碳库中起着主体作用,占植被总碳储量的94.47%(森林林木占25.55%,园林乔木占68.92%)。园林乔木单株碳储量为213.2 kg,表明单株乔木胸径和树高整体偏大,且不同树种类型单株碳储量差异较大,其中速生类树种最高,而海棠最低,速生类单株碳储量是海棠的41.5倍。森林林木平均碳密度为35.67 t/hm2,后山林平均碳密度按优势树种排序为:元宝枫>黄栌>侧柏>油松>刺槐。
    结论 为保证国家植物园园区景观效果的一致性,可以通过合理的景观配置和空间布局来提升园林乔木整体碳储量,比如逐步调整园林乔木树种的年龄结构,或局部引进固碳能力高的乡土树种,或围绕园林乔木营造乔灌草复合结构。国家植物园后山林区域建议多选择碳密度和固碳速率较高的栎类和落叶松等树种,逐步调整树种结构,有助于增强国家植物园碳汇能力。

     

    Abstract:
    Objectives This study provided data support for the rational allocation, carbon sequestration and sink enhancement measures and precise maintenance of China National Botanical Garden, which contributed to the sustainable development of landscaping and carbon sink.
    Methods Taking the main green vegetation of China National Botanical Garden as the research object, it was divided into five categories: forest trees, garden trees, garden shrubs, herbs and bamboo. The 2019 census data of China National Botanical Garden was used as the basis for the study. Stratified typical sampling and supplementary survey were carried out to obtain the measured data, and based on the biomass model and carbon metering parameters of occupation standards. To explore the distribution pattern and influencing factors of carbon storage and carbon density of typical vegetation in National Botanical Garden.
    Results The results showed that the estimated total vegetation carbon storage of China National Botanical Garden in 2022 was 8904.71 tons, with garden trees accounting for the greatest proprtion (48.86%) followed by forest trees (28.83%), herbs (11.82%), bamboo (6.89%), and garden shrubs (3.90%). Trees constituted the primary component of the vegetation carbon pool at China National Botanical Garden, accounting for 94.47% of the total vegetation carbon storage (forest trees accounted for 25.55%; garden trees accounted for 68.92%). The carbon storage per tree of gardon trees was 213.2 kg, indicating that the diameter and height of individual trees were relatively large, and the carbon storage per tree of different tree types was significantly different, among which the carbon storage per tree of fast-growing trees was the highest, while that of Malus spectabilis was the lowest, and the carbon storage per tree of fast-growing trees was 41.5 times that of Malus spectabilis. The average carbon density of forest trees was 35.67 t/hm2, and the order of the average carbon density of forest trees was as follows: Acer truncatum > Cotinus coggygria Scop. > Platycladus orientalis (Linn.) Franco > Pinus tabulaeformis Carr. > Robinia pseudoacacia Linn.
    Conclusions To ensure the consistency of the landscape effect of China National Botanical Garden, the overall carbon storage of garden trees can be improved through reasonable landscape configuration and spatial layout. This could be achieved by gradually adjusting the age structure of garden trees, or locally introducing local trees with high carbon sequestration ability, or building a composite structure of trees, shrubs, and grasses around garden trees. It is suggested to select more trees with higher carbon density and carbon sequestration rates, such as oak and larch, and gradually adjust the tree structure in the mountain forest area, which is conducive to enhancing the carbon sequestration capacity of China National Botanical Garden.

     

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