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    北京北部山区典型乔木树种生物量及碳储量分配

    Biomass and Carbon Storage Allocation of Typical Tree Species in the Northern Mountainous Regions of Beijing

    • 摘要: 森林在全球气候变化中具有重要作用,北京北部山区树种丰富,为研究区域碳储量和生物量分布提供了重要基础。本文以杨树、刺槐、蒙古栎、侧柏、油松5种典型乔木为研究对象。研究通过实验测定,建立了不同树种、器官和林龄组的含碳率与生.物量估算方程,精准估算了区域尺度生物量与碳储量,构建了适用于本地的碳储量评估参数库,为区域碳汇的精准计量提供了科学支撑。研究结果表明,不同树种含碳率存在显著差异(p &lt; 0.05),油松最高(52.23%),显著高于杨树(49.18%)、刺槐(47.60%)、蒙古栎(48.65%)和侧柏(50.14%)。各器官的含碳率也表现出明显差异,木质器官(树干、枝条和根)的含碳率显著高于非木质器官(叶),其中树干含碳率最高(51.09%),显著高于根(49.07%)和叶(48.01%)。在生物量分布上,油松以122.01 t/ha显著高于其他树种( <italic>p</italic> &lt; 0.05),其次为侧柏(103.92 t/ha);生物量主要集中在树干,占比超过60%,且随林龄增长呈持续增加趋势。碳储量评估亦表现出显著的树种效应( <italic>p</italic> &lt; 0.05),依次为油松(64.55 t/ha)、侧柏(51.42 t/ha)、杨树(49.71 t/ha)、刺槐(47.90 t/ha)和蒙古栎(46.45 t/ha)。碳储量的空间分布与生物量趋势基本一致,以树干贡献率最高、叶片最低。此外,碳储量随林龄变化呈非线性累积趋势,体现出不同树种在发育过程中碳固定效率的差异。整体而言,北京北部山区乔木层碳储量为52.01 t/ha,受人工林比例较高、树种单一及环境胁迫影响,区域整体碳汇潜力有限。本研究系统揭示了北京地区森林碳汇的主要制约因素,为树种结构优化和管理措施改进提供了有力的科学依据。

       

      Abstract: BackgroundForests play a crucial role in global climate change, and the rich variety of tree species in the northern mountainous region of Beijing provides an essential foundation for studying regional carbon storage and biomass distribution. This paper focuses on five typical tree species: poplar, black locust, Mongolian oak, Pinus tabuliformis Carr, and Pinus tabuliformis Carr.MethodsThrough experimental measurements, we established carbon content and biomass estimation equations for different species, organs, and age groups, accurately estimating biomass and carbon storage on a regional scale. We constructed a locally applicable carbon storage evaluation parameter database, providing scientific support for precise measurement of regional carbon sinks. ResultsThe results showed significant differences in carbon content among species (p &lt; 0.05), with Chinese pine having the highest carbon content (52.23%), significantly higher than poplar (49.18%), black locust (47.60%), Mongolian oak (48.65%), and Chinese arborvitae (50.14%). Significant differences were also observed in the carbon content of various organs, with woody organs (trunk, branches, and roots) having higher carbon content than non-woody organs (leaves), with the trunk having the highest carbon content (51.09%), significantly higher than roots (49.07%) and leaves (48.01%). In biomass distribution, Chinese pine, at 122.01 t/ha, was significantly higher than other species (p &lt; 0.05), followed by Chinese arborvitae (103.92 t/ha). The majority of biomass was concentrated in the trunk, accounting for over 60% and increasing with tree age. Carbon storage assessment also showed significant species effects (p &lt; 0.05), in the order of Chinese pine (64.55 t/ha), Chinese arborvitae (51.42 t/ha), poplar (49.71 t/ha), black locust (47.90 t/ha), and Mongolian oak (46.45 t/ha). The spatial distribution of carbon storage was consistent with biomass trends, with the trunk contributing the most and leaves the least. Additionally, carbon storage showed a nonlinear cumulative trend with tree age, reflecting differences in carbon sequestration efficiency among species during development. ConculsionsOverall, the carbon storage of the arboreal layer in northern mountainous Beijing is 52.01 t/ha. Due to the high proportion of plantations, single tree species, and environmental stress, the overall regional carbon sink potential is limited. This study systematically revealed the main limiting factors of forest carbon sinks in Beijing, providing a strong scientific basis for optimizing tree species structure and improving management practices.

       

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