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氮添加对华北落叶松树枝CO2通量的影响

郝国宝 王利东 李岩 李帆 崔靖亭 贾忠奎

郝国宝, 王利东, 李岩, 李帆, 崔靖亭, 贾忠奎. 氮添加对华北落叶松树枝CO2通量的影响[J]. 北京林业大学学报. doi: 10.12171/j.1000-1522.20220336
引用本文: 郝国宝, 王利东, 李岩, 李帆, 崔靖亭, 贾忠奎. 氮添加对华北落叶松树枝CO2通量的影响[J]. 北京林业大学学报. doi: 10.12171/j.1000-1522.20220336
Hao Guobao, Wang Lidong, Li Yan, Li Fan, Cui Jingting, Jia Zhongkui. Effect of nitrogen addition on the branch CO2 efflux of Larix principis-rupprechtii[J]. Journal of Beijing Forestry University. doi: 10.12171/j.1000-1522.20220336
Citation: Hao Guobao, Wang Lidong, Li Yan, Li Fan, Cui Jingting, Jia Zhongkui. Effect of nitrogen addition on the branch CO2 efflux of Larix principis-rupprechtii[J]. Journal of Beijing Forestry University. doi: 10.12171/j.1000-1522.20220336

氮添加对华北落叶松树枝CO2通量的影响

doi: 10.12171/j.1000-1522.20220336
基金项目: 国家自然科学基金面上项目(31870387)
详细信息
    作者简介:

    郝国宝。主要研究方向:用材与能源林培育理论技术。Email:haogb@bjfu.edu.cn 地址:100083北京市海淀区清华东路35号北京林业大学林学院

    责任作者:

    贾忠奎,教授。主要研究方向:用材与能源林培育理论技术。Email:jiazk@bjfu.edu.cn 地址:同上

  • 中图分类号: S791.229

Effect of nitrogen addition on the branch CO2 efflux of Larix principis-rupprechtii

  • 摘要:   目的  枝CO2通量是林分碳释放的重要组成部分之一,研究模拟氮沉降下的华北落叶松枝CO2通量变化,可以为氮沉降背景下的华北落叶松林分固碳增汇管理提供一定的理论依据。  方法  在2021年6—10月,以华北落叶松25年生中龄人工林和32年生近熟人工林为研究对象,设置对照(CK,0 kg/(hm2·a))、低氮(N1,75 kg/(hm2·a))、中氮(N2,150 kg /(hm2·a))、高氮(N3,225 kg/(hm2·a)) 4个强度的氮添加处理,并使用LI-8100A对枝CO2通量进行原位监测,同时采集枝条样品以测定其氮含量。  结果  (1)华北落叶松枝CO2通量与空气温度基本呈现出“单峰型”月变化,峰值出现在6—8月,空气温度可以分别解释2个林龄枝CO2通量37% ~ 82%、40% ~ 70%的变化。(2)25年和32年生华北落叶松6—10月平均枝CO2通量随氮添加处理强度增加都呈增大的趋势,但只在N3处理下与CK差异显著(P < 0.05)。CK、N1、N2处理下,25年生枝CO2通量均显著高于32年生(P < 0.05)。除32年生的N1处理外,其余氮添加处理均降低了枝CO2通量的温度敏感性(Q10)。(3)氮添加处理显著增加了25年生枝氮含量(P < 0.05),32年生枝氮含量没有显著变化(P > 0.05)。2个林龄的华北落叶松枝CO2通量与枝氮含量均存在显著的负向线性关系(P < 0.01),且氮含量分别可解释25和32年生华北落叶松16%和32%的枝CO2通量变化。  结论  枝CO2通量受空气温度、氮添加和林龄影响,在构建华北落叶松林木碳释放模型时应考虑这3个因素。

     

  • 图  1  枝CO2通量和空气温度月变化

    柱形图表示的是枝CO2通量变化结果,折线图表示的是空气温度变化结果。The bar chart shows the result of branch CO2 efflux change, and the line chart shows the result of air temperature change.

    Figure  1.  Seasonal variation of branch CO2 efflux and air temperature

    图  2  氮添加处理下温度标准化枝CO2通量的变化

    E15为枝温度标准化(15 ℃)CO2通量。不同大写字母表示相同氮添加处理不同林龄间差异显著(P < 0.05),不同小写字母代表相同林龄不同氮添加处理之间差异显著(P < 0.05),下同。E15 means branch CO2 efflux at standard temperature (15 ℃). Different capital letters indicate significant differences between different stand ages under the same nitrogen addition treatment (P < 0.05), and different lowercase letters indicate significant differences between different nitrogen addition treatments in the same stand age (P < 0.05). The same below.

    Figure  2.  Changes in temperature-standardized branch CO2 efflux under nitrogen addition treatment

    图  3  氮添加处理下枝氮含量的变化

    Figure  3.  Changes in branch nitrogen content under nitrogen addition treatment

    图  4  枝CO2通量与枝氮含量的关系

    Figure  4.  Relationship of branch CO2 efflux with branch nitrogen content

    表  1  样地基本信息表

    Table  1.   Basic characteristics of the sampling plots

    处理
    Treatment
    25年生 25 a32年生 32 a
    林分密度/(株·hm−2
    Stand density/(tree·ha−1
    平均胸径
    Mean DBH/cm
    平均树高
    Mean tree height/m
    林分密度/(株·hm−2
    Stand density /(tree·ha−1
    平均胸径
    Mean DBH/cm
    平均树高
    Mean tree height/m
    CK3 17510.810.91 50012.414.3
    N13 62510.111.81 32514.913.7
    N23 22510.011.51 42515.113.1
    N33 20010.111.41 45013.613.3
    下载: 导出CSV

    表  2  测定样树基本信息表

    Table  2.   Basic characteristics of the sampling trees

    处理
    Treatment
    25年生25 a32年生32 a
    胸径
    DBH/cm
    树高
    Height/m
    枝条平均高
    Mean height of
    the branches/m
    枝条直径
    Diameter of the
    branches/cm
    胸径
    DBH/cm
    树高
    Height/m
    枝条平均高
    Mean height of
    the branches/m
    枝条直径
    Diameter of the
    branches/cm
    CK13.512.27.51.42 ~ 2.6916.714.47.91.38 ~ 2.83
    N115.212.87.61.36 ~ 2.0317.815.48.81.87 ~ 2.81
    N213.911.87.51.22 ~ 1.8818.814.58.42.48 ~ 3.23
    N312.811.77.31.44 ~ 1.5220.014.88.22.50 ~ 3.20
    下载: 导出CSV

    表  3  枝CO2通量与空气温度回归方程

    Table  3.   Fitting equation of branch CO2 efflux and air temperature

    林龄
    Forest age
    处理
    Treatment
    回归方程
    Regression equation
    PR2样本量
    Sample size
    Q10
    25年生 25 aCKln E = 0.145 T − 2.738 < 0.010.707 3664.26
    N1ln E = 0.121 T − 2.286 < 0.010.823 7753.35
    N2ln E = 0.130 T − 2.431 < 0.010.520 3753.68
    N3ln E = 0.118 T − 2.137 < 0.010.376 2753.26
    32年生 32 aCKln E = 0.129 T − 2.956 < 0.010.703 0733.63
    N1ln E = 0.154 T − 3.143 < 0.010.561 3754.68
    N2ln E = 0.110 T − 2.512 < 0.010.689 7712.99
    N3ln E = 0.090 T − 1.896 < 0.010.484 5752.47
    下载: 导出CSV
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  • 收稿日期:  2022-08-12
  • 修回日期:  2022-09-13
  • 录用日期:  2023-07-07
  • 网络出版日期:  2023-07-10

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