Hu Zi-Han, Wang Li-Fan, Shang Rui-Guang, Liu Wan-de
Institute of Highland Forest Science, Chinese Academy of Forestry, Kunming 650224, China.
College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China.
Ying Yong Sheng Tai Xue Bao. 2025 Jul;36(7):2000-2008. doi: 10.13287/j.1001-9332.202507.001.
The analysis of carbon dynamics in old-growth forests helps us understand forest conservation, restoration, and regional carbon sequestration. There is still controversy over whether old-growth forests are carbon sources or sinks. Studying the carbon storage and dynamics of old-growth forests is of great significance for evaluating their carbon source and sink functions, as well as quantifying forest carbon fixation at the regional scale. Based on the dynamic monitoring data of the old-growth forest in the Taiyanghe River Provincial Nature Reserve in Yunnan Pro-vince in 2014 and 2024, we investigated the biomass and carbon storage of tree layer in the old-growth forest, as well as their distribution characteristics in different diameter classes and organs by using principal component analysis and random forest model. We also analyzed the dynamics of carbon storage and their influencing factors. The results showed that the total biomass of the tree layer in 2014 and 2024 were 359.72 and 449.44 t·hm, respectively, and the total carbon storage was 179.86 and 224.72 t·hm, respectively, showing an upward trend and demonstrating good carbon sequestration function. The carbon storage of large trees (diameter at breast height≥22.5 cm) in 2024 (188.96 t·hm) was significantly higher than that in 2014 (143.69 t·hm), and the proportion of total carbon storage in the tree layer increased from 79.9% to 84.1%. In both surveys, carbon in the tree layer was mainly distributed in the trunk, followed by branches and roots, with leaves having the lowest carbon content. There was a positive correlation between species diversity and the carbon storage of the tree layer. The biomass of large trees, as the main driving factor for changes in carbon storage in the tree layer of aging forests, had variance explanatory rates of 10.1% and 13.6% in 2014 and 2024, respectively. During the monitoring period, the relative importance of driving factors for carbon storage in the old-growth forest tree layer changed: the explanatory power of the coefficient of variation of large tree diameter at breast height and altitude increased, while the explanatory power of species diversity significantly decreased from 13.3% to 2.6%. Overall, the tree layer of the old-growth forest in the study area serves as a carbon sink, with large trees dominating the dynamic changes in carbon storage.
对原始森林碳动态的分析有助于我们理解森林保护、恢复和区域碳固存。关于原始森林是碳源还是碳汇仍存在争议。研究原始森林的碳储存和动态对于评估其碳源和碳汇功能以及量化区域尺度上的森林碳固定具有重要意义。基于2014年和2024年云南省太阳河省级自然保护区原始森林的动态监测数据,我们利用主成分分析和随机森林模型研究了原始森林乔木层的生物量和碳储存,以及它们在不同径级和器官中的分布特征。我们还分析了碳储存的动态及其影响因素。结果表明,2014年和2024年乔木层的总生物量分别为359.72和449.44 t·hm,总碳储存分别为179.86和224.72 t·hm,呈上升趋势,显示出良好的碳汇功能。2024年大树(胸径≥22.5 cm)的碳储存(188.96 t·hm)显著高于2014年(143.69 t·hm),其在乔木层总碳储存中的比例从79.9%增加到84.1%。在两次调查中,乔木层的碳主要分布在树干中,其次是树枝和根系,叶片的碳含量最低。物种多样性与乔木层的碳储存呈正相关。大树生物量作为老龄森林乔木层碳储存变化的主要驱动因素,在2014年和2024年的方差解释率分别为10.1%和13.6%。在监测期内,原始森林乔木层碳储存驱动因素的相对重要性发生了变化:胸径变异系数和海拔高度的解释力增加,而物种多样性的解释力从13.3%显著下降到2.6%。总体而言,研究区域内原始森林的乔木层作为一个碳汇,大树主导着碳储存的动态变化。