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

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

冯晓钰¹,
周广胜^2, ,

1.
浙江省金华市气象局, 金华 321000
2.
中国气象科学研究院, 北京 100081

资助项目:

国家自然科学基金重点项目 42135014

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通信作者:
周广胜, 邮箱：zhougs@cma.gov.cn

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出版历程
- 收稿日期: 2021-12-06
- 修回日期: 2022-02-28
- 刊出日期: 2022-05-31

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

Feng Xiaoyu¹,
Zhou Guangsheng^{2
, ,}

1.
Jinhua Meteorological Service of Zhejiang, Jinhua 321000
2.
Chinese Academy of Meteorological Sciences, Beijing 100081

摘要

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。
- 叶片含水量;
- 光合作用;
- 定量模拟;
- 玉米
Abstract: The accurate simulation of leaf photosynthesis is of great significance to the study of terrestrial ecosystem model and understanding the impact of global change on vegetation. To improve the description of photosynthesis from phenomenon to mechanism, empirical model is gradually replaced by photosynthetic biochemical mechanism model, in which the photosynthetic biochemical mechanism model proposed by Farquhar is widely recognized and used. The effect of CO₂ concentration on plant photosynthesis is considered by the model, but the response of plant photosynthetic parameters to temperature and light intensity is studied without considering water stress. Water is one of the important raw materials of photosynthesis, which directly affects leaf stomatal conductance, transpiration rate and photosynthetic rate, and then affects plant photosynthesis. Therefore, many experiments are carried out and the water response function is gradually established. However, these studies mostly focus on soil water content rather than leaf water content that directly affects photosynthesis, limiting the accurate simulation of photosynthesis.Taking maize from North China as the research object, drought simulation data are studied based on six water gradient tests which are carried out at Gucheng Ecological and Agro-meteorological Experimental Station of Chinese Academy of Meteorological Sciences from June to October in 2014. Different from the previous empirical model of photosynthesis, a C4 plant photosynthetic biochemical mechanism model developed from the biochemical mechanism model proposed by Farquhar and modified by von Caemmerer is applied. The sampling blades and the environmental factors such as temperature, CO₂, relative humidity, and light intensity are kept consistent, and the temperature difference between different observation times are adjusted to quantitatively study the relationship between leaf water content and maximum carboxylation rate accurately. The results show that the relationship between them can be expressed in a quadratic curve significantly (passing the test of 0.01 level), and the determination coefficient of the fitting equation is up to 0.88. With different parameters, the values of the maximum carboxylation rate are different, but the normalized leaf water content correction function is independent of the parameters. Through calculation, when the leaf water content is about 80%, the value of correction function is 1, and when the leaf water content drops to about 70%, the value is 0. This result perfects the photosynthetic biochemical mechanism model of C4 plant from the perspective of leaf water content, which provides a reference for further improving the accuracy of photosynthesis simulation, drought monitoring and early warning of maize.
- leaf water content;
- photosynthesis;
- quantitative simulation;
- maize

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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

下载: 全尺寸图片幻灯片

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

下载: 全尺寸图片幻灯片

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

下载: 全尺寸图片幻灯片

图 4 V^*与L的关系

Fig. 4 Relationship between V^* and L

下载: 全尺寸图片幻灯片

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

下载: 全尺寸图片幻灯片

图 6 归一化后的叶片含水量影响曲线

Fig. 6 Normalized leaf water content influence curve

下载: 全尺寸图片幻灯片

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K_c和K_o取值下的拟合方程

Table 3 Fitting equations under different values of K_c and K_o

拟合方程	R²	L/%	V₀^*/(μmol·m^-2·s^-1)	K_c和K_o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]

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参考文献(35)

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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

通信作者:
周广胜, 邮箱：zhougs@cma.gov.cn

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

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留言板

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

通信作者: 周广胜, 邮箱：zhougs@cma.gov.cn

计量

出版历程

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

计量

出版历程

目录

通信作者:
周广胜, 邮箱：zhougs@cma.gov.cn