东北地区土壤呼吸的估算及其空间分布特征

Estimation and Spatial Distribution of Soil Respiration in Northeast China

  • 摘要:
    目的 本研究旨在系统解析中国东北土壤呼吸空间格局,揭示环境因子调控机制,为黑土地碳汇管理提供科学依据。
    方法 基于4种主流模型,利用实测数据校正系数以优化估算模型(R2 = 0.40,RMSE = 0.16),应用随机森林算法量化环境因子贡献度,按行政区域、地貌类型、土壤类型与土地类型分级评估土壤呼吸。
    结果 东北土壤呼吸速率范围为0.02 ~ 1.34 kg C m−2 a−1(均值0.37),呈北部与东南部高、西部及中部低的空间格局。蒸发量/温度较高区域呼吸速率偏低,而净初级生产力、有机碳储量及湿度较高区域则偏高。行政区域中,黑龙江省均值最高(0.45 kg C m−2 a−1),辽宁省最低(0.24);地貌类型中,大小兴安岭地区居首(0.61 kg C m−2 a−1),辽河平原最低(0.19);土壤类型中,棕色针叶林土最高(0.81 kg C m−2 a−1),碱土最低(0.15);土地类型中,林地最高(0.46 kg C m−2 a−1),水田最低(0.26)。
    结论 东北土壤呼吸呈现显著空间异质性,受温度、湿度条件与碳库质量的协同调控。山地生态系统呼吸强度显著高于平原,森林土壤及自然植被覆盖区尤为突出。本研究深化了对区域土壤碳循环的理解,对评估黑土地碳收支及其气候反馈意义重大。

     

    Abstract:
    Objective As a pivotal process in the terrestrial carbon cycle, accurate quantification of soil respiration is critical for deciphering global carbon budget balance. This study aimed to overcome the regional applicability limitations of traditional models by reconstructing model coefficients, to analyze the spatial distribution characteristics of soil respiration in Northeast China and to elucidate the mechanisms of environmental drivers, in order to provide scientific support for carbon sink management in China's black soil region.
    Method Based on four mainstream soil respiration estimation models, the model coefficients were calibrated using field-measured data to optimize the estimation model (R2=0.40, RMSE=0.16). The random forest algorithm was employed to quantify the influence of environmental factors. Subsequently, hierarchical analyses of soil respiration were conducted across provinces, climatic zones, soil types, and land-use patterns.
    Result Soil respiration rates in Northeast China ranged from 0.02 to 1.34 kg C m−2 a−1 (with an average of 0.37 kg C m−2 a−1). Spatially, higher respiration rates were observed in northern and southeastern regions, while lower values dominated western and central areas. Regions with higher evapotranspiration and temperature exhibited lower soil respiration, whereas areas with elevated net primary productivity, organic carbon stocks and humidity showed higher values. Heilongjiang Province recorded the highest mean soil respiration (0.45 kg C m−2 a−1), while Liaoning Province had the lowest (0.24 kg C m−2 a−1). The Greater and Lesser Khingan Mountains region displayed the maximum respiration (0.62 kg C m−2 a−1), contrasting with the minimum in the Liaohe Plain (0.19 kg C m−2 a−1). Among soil types, brown coniferous forest soil exhibited the highest respiration (0.81 kg C m−2 a−1), while solonetz showed the lowest (0.15 kg C m−2 a−1). Forest land-use displayed the maximum respiration (0.56 kg C m−2 a−1), whereas paddy fields had the minimum (0.26 kg C m−2 a−1).
    Conclusion Soil respiration in Northeast China demonstrated pronounced spatial heterogeneity, synergistically regulated by hydrothermal conditions and carbon pool quality. Significant regional disparities existed, with mountain ecosystems exhibiting substantially higher respiration than plains. Forest soils and natural vegetation zones dominated soil carbon efflux. This research will advance the understanding of soil carbon cycling mechanisms in Northeast China and provide critical insights for evaluating carbon budget equilibrium in black soil ecosystems and their responses to global climate change.

     

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