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特定盐度下的气孔导度模型参数通过叶片氮素受气孔饱和导度和面积的影响而降低。

Salinity-specific stomatal conductance model parameters are reduced by stomatal saturation conductance and area via leaf nitrogen.

作者信息

Liao Qi, Ding Risheng, Du Taisheng, Kang Shaozhong, Tong Ling, Li Shuai

机构信息

Center for Agricultural Water Research in China, China Agricultural University, Beijing 100083, China; National Field Scientific Observation and Research Station on Efficient Water Use of Oasis Agriculture, Wuwei, Gansu Province 733009, China.

Center for Agricultural Water Research in China, China Agricultural University, Beijing 100083, China; National Field Scientific Observation and Research Station on Efficient Water Use of Oasis Agriculture, Wuwei, Gansu Province 733009, China.

出版信息

Sci Total Environ. 2023 Jun 10;876:162584. doi: 10.1016/j.scitotenv.2023.162584. Epub 2023 Mar 6.

Abstract

Modeling stomatal behavior is necessary for accurate stomatal simulation and predicting the terrestrial water‑carbon cycle. Although the Ball-Berry and Medlyn stomatal conductance (g) models have been widely used, variations and the drivers of their key slope parameters (m and g) remain poorly understood under salinity stress. We measured leaf gas exchange, physiological and biochemical traits, soil water content and electrical conductivity of saturation extract (EC), and fitted slope parameters of two genotypes of maize growing in two water and two salinity levels. We found m was different between the genotypes, but no difference in g. Salinity stress reduced m and g, saturated stomatal conductance (g), the fraction of leaf epidermis area allocation to stomata (f), and leaf nitrogen (N) content, and increased EC, but no marked decrease in slope parameters under drought. Both m and g were positively correlated with g, f, and leaf N content, and negatively correlated with EC in the same fashion among the two genotypes. Salinity stress altered m and g by modulating g and f via leaf N content. The prediction accuracy of g was improved using salinity-specific slope parameters, with root mean square error (RMSE) being decreased from 0.056 to 0.046 and 0.066 to 0.025 mol m s for the Ball-Berry and Medlyn models, respectively. This study provides a modeling approach to improving the simulation of stomatal conductance under salinity.

摘要

对气孔行为进行建模是精确模拟气孔及预测陆地水碳循环所必需的。尽管Ball-Berry模型和Medlyn气孔导度(g)模型已被广泛应用,但在盐胁迫下,其关键斜率参数(m和g)的变化及其驱动因素仍知之甚少。我们测量了两种水分和两种盐度水平下生长的两种基因型玉米的叶片气体交换、生理生化特性、土壤含水量和饱和浸出液电导率(EC),并拟合了其斜率参数。我们发现,不同基因型之间m存在差异,但g没有差异。盐胁迫降低了m、g、饱和气孔导度(gs)、叶片表皮面积分配给气孔的比例(f)和叶片氮(N)含量,并增加了EC,但干旱条件下斜率参数没有明显下降。在两种基因型中,m和g均与gs、f和叶片N含量呈正相关,与EC呈负相关。盐胁迫通过叶片N含量调节gs和f来改变m和g。使用盐度特异性斜率参数提高了g的预测精度,Ball-Berry模型和Medlyn模型的均方根误差(RMSE)分别从0.056降至0.046和从0.066降至0.025 mol m-2 s-1。本研究提供了一种改进盐胁迫下气孔导度模拟的建模方法。

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