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碳四植物光合生化机理模型的叶片含水量修正

冯晓钰 周广胜

冯晓钰, 周广胜. 碳四植物光合生化机理模型的叶片含水量修正. 应用气象学报, 2022, 33(3): 375-384. DOI:  10.11898/1001-7313.20220311..
引用本文: 冯晓钰, 周广胜. 碳四植物光合生化机理模型的叶片含水量修正. 应用气象学报, 2022, 33(3): 375-384. DOI:  10.11898/1001-7313.20220311.
Feng Xiaoyu, Zhou Guangsheng. Modification of leaf water content for the photosynthetic and biochemical mechanism model of C4 plant. J Appl Meteor Sci, 2022, 33(3): 375-384. DOI:  10.11898/1001-7313.20220311.
Citation: Feng Xiaoyu, Zhou Guangsheng. Modification of leaf water content for the photosynthetic and biochemical mechanism model of C4 plant. J Appl Meteor Sci, 2022, 33(3): 375-384. DOI:  10.11898/1001-7313.20220311.

碳四植物光合生化机理模型的叶片含水量修正

DOI: 10.11898/1001-7313.20220311
资助项目: 

国家自然科学基金重点项目 42135014

详细信息
    通信作者:

    周广胜, 邮箱:zhougs@cma.gov.cn

Modification of Leaf Water Content for the Photosynthetic and Biochemical Mechanism Model of C4 Plant

  • 摘要: 叶片光合作用的准确模拟对陆地生态系统模型及全球变化对植被影响研究具有重要意义。水分是影响光合作用的重要因素,目前研究多采用土壤含水量表示,而非直接起作用的叶片含水量,这限制了光合作用的准确模拟。以玉米为研究对象,利用2014年6—10月中国气象科学研究院固城生态与农业气象试验站玉米6个水分梯度持续干旱试验数据,结合光合生化机理模型,定量研究最大羧化速率与叶片含水量的关系。结果表明:两者呈显著二次曲线关系,其拟合方程的决定系数达0.88;参数不同时,最大羧化速率的绝对值不同,但归一化后的叶片含水量修正函数与参数无关,当叶片含水量为80%左右时,其修正函数值为1,当叶片含水量降至70%左右时,其修正函数值为0。研究从叶片含水量影响方面完善了碳四植物光合生化机理模型,可为进一步提高光合作用模拟的准确性和玉米干旱监测预警提供参考。
  • 图  1  不同水分梯度持续干旱处理下的光响应

    Fig. 1  Light response under consecutive drought treatments with different water gradients

    图  2  不同水分梯度持续干旱处理下的环境变量

    Fig. 2  Environmental variables under consecutive drought treatments with different water gradients

    图  3  不同水分梯度持续干旱处理下的土壤相对湿度

    Fig. 3  Relative soil moisture under consecutive drought treatments with different water gradients

    图  4  V*L的关系

    Fig. 4  Relationship between V* and L

    图  5  不同水分梯度持续干旱处理下的发育期

    Fig. 5  Growth stages under consecutive drought treatments with different water gradients

    图  6  归一化后的叶片含水量影响曲线

    Fig. 6  Normalized leaf water content influence curve

    表  1  2014年不同水分处理的叶片含水量(单位:%)

    Table  1  Leaf water content at different watering treatments in 2014 (unit:%)

    水分处理 07-11 07-18 07-31 08-07 08-20
    W1 78.9 74.4 72.9 71.6 68.9
    W2 81.8 75.8 73.8 72.1 71.6
    W3 83.7 75.9 74.1 72.4 71.8
    W4 84.3 77.4 76.4 72.9 72.0
    W5 84.4 78.3 77.1 74.3 72.1
    W6 84.9 78.6 78.1 75.1 72.2
    下载: 导出CSV

    表  2  2014年不同水分处理的土壤含水量(单位:%)

    Table  2  Relative soil water content at different watering treatments in 2014 (unit:%)

    水分处理 07-11 07-18 07-31 08-07 08-20
    W1 48.8 43.6 41.0 38.9 37.3
    W2 58.4 50.3 45.3 44.3 37.7
    W3 66.5 55.9 50.6 46.5 45.6
    W4 81.8 64.5 51.2 49.2 45.2
    W5 88.5 69.7 56.3 49.5 42.1
    W6 92.4 71.0 59.4 51.9 49.2
    下载: 导出CSV

    表  3  不同KcKo取值下的拟合方程

    Table  3  Fitting equations under different values of Kc and Ko

    拟合方程 R2 L/% V0*/(μmol·m-2·s-1) KcKo取值参考
    y=-0.38x2+61.76x-2450.5 0.8789 80.79 44.22 文献[22]
    y=-0.47x2+76.64x-3039.0 0.8764 80.76 55.43 文献[26]
    y=-0.57x2+91.92x-3644.8 0.8754 80.75 66.40 文献[4]
    下载: 导出CSV
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  • 收稿日期:  2021-12-06
  • 修回日期:  2022-02-28
  • 刊出日期:  2022-05-31

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