岭南国家公园碳源汇格局、碳中和贡献及管理策略

Study on carbon source-sink patterns, carbon neutrality contribution, and management strategies in Lingnan National Park

  • 摘要: 在全球气候变化背景下, 国家公园作为生态文明建设的核心载体, 在实现碳中和目标中扮演着关键角色。以岭南国家公园为例, 系统评估其碳源汇格局、碳储量动态及碳中和水平, 旨在揭示其碳平衡机制及对区域碳中和的贡献。通过实地调研与多源数据融合, 量化了能源活动、农业活动、废弃物处理及森林火灾等主要碳源排放;结合森林资源调查与野外样地数据, 分析了典型森林生态系统碳储量、碳汇量及其时空变化特征。研究结果表明:(1)岭南国家公园年碳排放总量为11.85×104t CO2-e, 其中农业活动贡献73.80%, 能源活动占21.00%, 废弃物处理活动占5.20%, 无工业及森林火灾活动排放;(2)2017、2022年总碳储量分别为1570.05×104t C和1675.37×104t C, 碳密度由81.22t C/hm2增至86.67t C/hm2, 混交林模式碳密度达97.82t C/hm2;(3)年均碳汇量为77.23×104t CO2-e, 碳汇速率达3.99t CO2-e hm-2 a-1, 高于中国及全球森林平均水平;(4)碳汇远超碳排放, 且碳汇盈余对粤北区域碳中和贡献突出。提出应构建以国家公园为主体的自然保护地碳收支精细化监测体系, 强化碳汇能力, 协同提升生物多样性与固碳功能, 为区域碳中和目标实现提供科学支撑。

     

    Abstract: Regarding global climate change, national parks serve as key pillars in the construction of ecological civilization and play a vital role in achieving carbon neutrality goals. Taking the Lingnan National Park as a case study, this study systematically evaluates its carbon source-sink dynamics, changes in carbon storage, and carbon neutrality status, aiming to clarify its carbon balance mechanisms and its contribution to regional carbon neutrality. By integrating field surveys with multi-source data analysis, carbon emissions from major sources were quantified, including energy activities, agricultural practices, waste treatment, and forest fires. Combined with forest resource surveys and field plot data, the study analyzes the carbon storage, carbon sink potential, and spatiotemporal variation characteristics of typical forest ecosystems. The main findings are as follows: (1) The total annual carbon emission amounts to 11.85×104t CO2-e, with an emission intensity per unit area of 0.61t CO2-e/hm2, which is lower than the average level of Guangdong Province. In the emission structure, agricultural activities dominate, accounting for 73.80% of total emissions, followed by energy activities (21.00%) and waste treatment (5.20%). No emissions from industrial activities or forest fires were recorded. (2) The total carbon stocks in 2017 and 2022 were 1570.05×104t C and 1675.37×104t C, showing an increasing trend across all carbon pools, with a net increase of 105.32×104t C. Carbon density increased from 81.22t C/hm2 to 86.67t C/hm2. Natural forests exhibited significantly higher carbon density than planted vegetation. Areas with high carbon density were predominantly concentrated in coniferous-broadleaf mixed forests, coniferous mixed forests, and regions dominated by hardwoods, reaching as high as 97.82t C/hm2. The spatial pattern displayed distinct vertical differentiation, gradually increasing from low-altitude plains to mid-altitude regions. (3) The average annual carbon sink was 77.23×104t CO2-e, with a carbon sequestration rate of 3.99t CO2-e hm-2 a-1, surpassing both the Chinese and global forest averages and indicating a strong carbon sink system. Carbon sequestration capacities varied among dominant tree species, ranked as follows: hardwood forests > softwood forests > mixed forests ≫ economic forests. Notably, subtropical coniferous mixed forests, broadleaf forests, and evergreen broadleaf forests exhibited the highest carbon sequestration capacities. (4) The carbon sink significantly exceeded carbon emissions, demonstrating a synergistic feature of "low emissions and high carbon sink". The annual carbon sink surplus was 65.39×104t CO2-e, primarily contributed by the core protected area, highlighting its substantial role in supporting the carbon neutrality goals of northern Guangdong. In conclusion, this study proposes the establishment of a refined carbon budget monitoring system centered on national parks and natural reserves. By enhancing the protection of natural forests and implementing nature-based ecological restoration strategies for low-efficiency forests, biodiversity conservation can be synergistically strengthened alongside carbon sink services. The study recommends adopting a "conservation-restoration-regulation" triad strategy to enhance carbon sink capacity, thereby providing robust scientific support for achieving regional carbon neutrality goals.

     

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