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已有大量关于森林生态系统碳循环的研究,但其主要过程和变化的定量研究仍较为缺乏.采用样地调查和为期3年(2011~2014年)的连续观测以及与20年前(1992~1994年)的对比分析,研究了北京山地3种典型温带森林(白桦林、辽东栎林和油松林)碳循环各组分的大小及其变化.结果表明,近3年白桦林、辽东栎林和油松林的净初级生产力为5.32,4.53和6.73 Mg C ha?1年?1,净碳汇分别为0.12,0.43和3.53 Mg C ha?1年?1.与20年前相比,各样地的主要碳组分显著增加:白桦林、辽东栎林和油松林的生物量分别由20年前的50.0,37.7和54.0 Mg C ha?1增加到现在的101.5,77.3和110.9 Mg C ha?1;土壤有机碳密度分别由207.0,239.1和231.7 Mg C ha?1增加到214.8,241.7和238.4 Mg C ha?1;土壤异养呼吸量分别由2.78,3.49和1.81 Mg C ha?1年?1增加到5.20,4.10和3.20 Mg C ha?1年?1.本研究显示,过去的20年北京山地森林是一个显著的碳汇,所获得的主要组分碳密度和碳通量数据为研究长时间尺度的温带森林碳循环过程提供了重要参数.
There have been a lot of researches on the carbon cycle of forest ecosystems, but the quantitative research on the main processes and changes is still scarce.Using the sample surveys and the continuous observations of 3 years (2011 ~ 2014) 1994), the size and variation of carbon cycling components in three typical temperate forests (Betula platyphylla, Quercus liaotungensis and Pinus tabulaeformis) in the mountainous area of Beijing were studied.The results showed that in the recent 3 years, the contents of Betula platyphylla, Quercus liaotungensis And Pinus tabulaeformis forests were 5.32, 4.53 and 6.73 Mg C ha-1 yr-1, net carbon sinks were 0.12, 0.43 and 3.53 Mg C ha-1 yr -1 respectively. Compared with 20 years ago, the net primary productivity The main carbon components of the land increased significantly: the biomass of Betula platyphylla, Quercus liaotungensis and Pinus tabulaeformis increased from 50.0, 37.7 and 54.0 Mg C ha -1 before 20 years to 101.5, 77.3 and 110.9 Mg C ha, respectively. 1, and the soil organic carbon density increased from 207.0, 239.1 and 231.7 Mg C ha -1 to 214.8, 241.7 and 238.4 Mg C ha -1, respectively. Soil heterotrophic respiration rates increased from 2.78, 3.49 and 1.81 Mg C ha -1, respectively 1 to 5.20, 4.10 and 3.20 Mg C ha? 1 year? 1. This study shows that over the past 20 years, Beijing mountain forest is a significant carbon sink. The main components obtained Density and carbon flux data provide important parameters for the temperate forest carbon cycle research for a long time scale.