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应用生态学报 ›› 2026, Vol. 37 ›› Issue (7): 2103-2115.doi: 10.13287/j.1001-9332.202607.007

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中国典型森林生态系统碳通量季节变化及其驱动力

胡可铭1, 丁智2, 王兴昌3,4*, 高添5, 王传宽3   

  1. 1东北林业大学奥林学院, 哈尔滨 150040;
    2西南大学地理科学学院/重庆金佛山喀斯特生态系统国家野外科学观测研究站, 重庆 400715;
    3东北林业大学生态学院/黑龙江帽儿山森林生态系统国家野外科学观测研究站, 哈尔滨 150040;
    4东北林业大学碳中和技术创新研究院, 哈尔滨 150040;
    5中国科学院沈阳应用生态研究所, 中国科学院清原森林生态系统观测研究站, 沈阳 110016
  • 收稿日期:2026-03-12 接受日期:2026-05-28 出版日期:2026-07-18 发布日期:2027-01-18
  • 通讯作者: *E-mail: xcwang_cer@nefu.edu.cn
  • 作者简介:胡可铭, 女, 1999年生, 硕士研究生。主要从事森林生态系统碳通量研究。E-mail: keming.hu@foxmail.com
  • 基金资助:
    国家重点研发计划项目(2021YFD2200401)和国家自然科学基金面上项目(32171765)资助。

Seasonal variations of carbon fluxes and the drivers in typical Chinese forest ecosystems

HU Keming1, DING Zhi2, WANG Xingchang3,4*, GAO Tian5, WANG Chuankuan3   

  1. 1Aulin College, Northeast Forestry University, Harbin 150040, China;
    2School of Geographical Sciences/Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station, Southwest University, Chongqing 400715, China;
    3School of Ecology/Heilongjiang Maoershan Forest Ecosystem National Field Scientific Observation and Research Station, Northeast Forestry University, Harbin 150040, China;
    4Institute of Carbon Neutrality Technology Innovation, Northeast Forestry University, Harbin 150040, China;
    5Qingyuan Forest CERN, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
  • Received:2026-03-12 Accepted:2026-05-28 Online:2026-07-18 Published:2027-01-18

摘要: 本研究整合了2003—2023年ChinaFLUX、文献报道和本研究团队积累的中国森林27座通量塔的涡动协方差月尺度碳通量数据,研究站点覆盖寒温带、温带、亚热带和热带4个森林生物群区。基于多年平均月通量序列,计算总初级生产力(GPP)、生态系统呼吸(Re)和净生态系统生产力(NEP)的季节性指标(季节振幅、季节性指数和季节标准差)及通量强度指标(最大月通量和生长季平均月通量),采用广义加性模型分析不同指标空间变异的主要解释变量,研究中国不同气候带森林碳通量季节变化及其空间分异特征。结果表明:4个森林生物群区GPP、Re和NEP的多年平均月通量变化范围分别为0~298.3、11.8~227.1和-27.5~106.8 g C·m-2·month-1。其中,GPP和Re呈单峰型季节变化,峰值集中于6—8月;NEP在寒温带和温带森林总体表现为“碳源-碳汇-碳源”转换模式,而在亚热带和热带森林多表现为全年碳汇型。GPP和Re的季节性变化随纬度升高显著增强,其季节性指数与纬度呈显著正相关(R2分别为0.74和0.56)。广义加性模型分析表明,森林碳通量的季节性指标主要与气候因子相关,其中年温差对GPP季节性指标的相对贡献为52.3%~68.7%。森林碳通量强度指标主要与林分结构因子相关,其中冠层高度对GPP月峰值和NEP月峰值的相对贡献分别为74.3%和70.4%,对碳通量生长季平均月通量的相对贡献为28.6%~57.7%。在本研究所整合的典型森林站点中,碳通量的空间分异主要体现在季节性强弱而非通量强度,这一发现可为森林碳收支评估及生态系统模型的季节参数化提供科学依据。

关键词: 森林生态系统, 碳通量季节性, 总初级生产力, 生态系统呼吸, 净生态系统生产力, 空间分异, 冠层高度

Abstract: We integrated monthly eddy-covariance carbon flux data from 27 forest flux towers across China, compiled from ChinaFLUX during 2003 to 2023, literature, and our own observations. The study sites covered four forest biomes, namely boreal, temperate, subtropical, and tropical forests. Based on long-term mean monthly series, we quantified seasonal metrics of gross primary productivity (GPP), ecosystem respiration (Re), and net ecosystem productivity (NEP), including seasonal amplitude, seasonality index, and seasonal standard deviation, as well as flux magnitude metrics, including maximum monthly flux and growing-season mean monthly flux. Generalized additive models were used to identify the main explanatory variables of spatial variations in these metrics to examine the seasonal variation and spatial differentiation of forest carbon fluxes across different climatic zones in China. The results showed that the long-term mean monthly fluxes of GPP, Re, and NEP across the four forest biomes ranged from 0 to 298.3, 11.8 to 227.1, and -27.5 to 106.8 g C·m-2·month-1, respectively. GPP and Re exhibited unimodal seasonal patterns, with peaks mainly occurring from June to August. NEP showed a “carbon source-carbon sink-carbon source” transition pattern in boreal and temperate forests, whereas subtropical and tropical forests were mostly carbon sinks throughout the year. The seasonality of GPP and Re increased significantly with latitude, and the seasonality indices of which were significantly and positively correlated with latitude (R2 values were 0.74 and 0.56, respectively). Generalized additive model analyses showed that the seasonal metrics of forest carbon fluxes were mainly associated with climatic factors. Annual temperature range contributed 52.3%-68.7% to the GPP seasonal metrics. The flux magnitude metrics of forest carbon fluxes were mainly associated with stand structural factors. Canopy height contributed 74.3% and 70.4% to the maximum monthly fluxes of GPP and NEP, respectively, and contributed 28.6%-57.7% to the growing-season mean monthly fluxes of carbon flux components. Across the typical forest sites compiled in this study, the spatial differentiation of carbon fluxes was expressed mainly in the strength of seasonality rather than in flux magnitude, providing a scientific basis for forest carbon balance assessment and seasonal parameterization of ecosystem models.

Key words: forest ecosystem, carbon flux seasonality, gross primary productivity, ecosystem respiration, net ecosystem productivity, spatial differentiation, canopy height