玉米日光诱导叶绿素荧光及其组分与光合生产力耦合关系的干旱响应

Drought response of maize solar-induced chlorophyll fluorescence and its components and their coupling relationship with photosynthetic productivity

  • 摘要: 日光诱导叶绿素荧光(solar-induced chlorophyll fluorescence, SIF)是反映植物光合效率和碳吸收的重要信息, 已被公认为监测总初级生产力(gross primary productivity, GPP)的有效工具, 但干旱影响下SIF与GPP的耦合机制尚不明确。本文基于2010—2020年6—9月卫星反演的GPP、SIF和标准化降水蒸散指数(SPEI), 探究东北春玉米不同干旱程度下不同时空尺度SIF与GPP的耦合关系, SIF的辐射、冠层结构、生理组分与SIF和GPP的关系及对二者耦合关系的贡献。结果表明: 1) 非干旱条件下, SIF与GPP的相关性在全生育期(6—9月) (R2为0.80)强于各月, 在6月和9月(R2为0.59和0.61)强于7月和8月(R2为0.31和0.38); 在7月、8月和全生育期, 冠层结构组分对SIF与GPP关系的贡献最大, 分别为48.6%、39.1%和50.0%, 在6月和9月生理组分对SIF与GPP关系的贡献最大, 分别为49.4%和42.4%。2) 干旱使SIF与GPP的相关性在6月和9月减弱, 在7月、8月和全生育期增强。全生育期冠层结构组分减小0.4%、生理组分和辐射组分分别增大0.1%和0.3%; 使各月冠层结构组分分别增大3.9%、0.9%、4.2%、2.6%, 辐射组分贡献分别减小5.3%、3.2%、0.7%、1.3%, 生理组分在6月和7月分别增大1.4%和2.3%, 8月和9月分别减小3.5%和1.3%。3)随干旱加重, SIF与GPP的相关性在全生育期及6月呈线性增大趋势, R2分别由0.80增大至0.83、0.52增大至0.61, 其余月份呈非线性变化趋势。辐射组分在8月呈线性减小趋势, 冠层结构组分在全生育期线性减小, 6月、7月、8月均线性增大, 生理组分在8月线性减小, 在全生育期、9月线性增大。干旱不会影响SIF与GPP关系的主要贡献组分, 但改变各组分的贡献率, 其由最大贡献组分与GPP的相关性决定。本研究可为深入理解SIF与GPP耦合关系的干旱响应机制提供重要参考。

     

    Abstract: Solar-induced chlorophyll fluorescence (SIF) serves as a vital indicator of plant photosynthetic efficiency and carbon uptake, and is widely recognised as an effective tool for monitoring gross primary productivity (GPP). However, the coupling mechanism between SIF and GPP under drought stress remains unclear. This study utilised satellite-derived GPP, SIF, and Standardised precipitation evapotranspiration index (SPEI) data from June to September 2010–2020 to investigate the spatiotemporal coupling between SIF and GPP across varying drought intensities in spring maize crops in Northeast China. It further examined the relationships between SIF components—radiation, canopy structure, and physiological factors—and their respective contributions to the coupling dynamics with GPP. Results indicate: 1) Under non-drought conditions, the correlation between SIF and GPP was stronger during the entire growing season (June to September) (R2 = 0.80) than in individual months, and stronger in June and September (R2 = 0.59, 0.61) than in July and August (R2 = 0.31, 0.38); During July and August, as well as throughout the entire growing season, canopy structural components contributed most significantly to the relationship between SIF and GPP, accounting for 48.6%, 39.1%, and 50.0% respectively. In June and September, physiological components contributed most significantly, accounting for 49.4% and 42.4% respectively. 2) Drought weakened the correlation between SIF and GPP in June and September, while strengthening it in July, August, and throughout the entire growing season. Over the entire growing season, the structural component of the canopy decreased by 0.4%, while the physiological and radiative components increased by 0.1% and 0.3% respectively; It increased the structural component by 3.9%, 0.9%, 4.2%, and 2.6% respectively in each month, while the contribution of the radiative component decreased by 5.3%, 3.2%, 0.7%, and 1.3% respectively. The physiological component increased by 1.4% and 2.3% in June and July respectively, but decreased by 3.5% and 1.3% in August and September respectively. 3) As drought intensified, the correlation between SIF and GPP exhibited a linear increase trend throughout the entire growing season and in June, with R2 increasing from 0.80 to 0.83 and from 0.52 to 0.61 respectively. Non-linear trends were observed in the remaining months. Radiation components exhibited a linear decrease in August, while canopy structure components showed a linear decrease throughout the entire growth period and a linear increase in June, July, and August. Physiological components decreased linearly in August but increased linearly throughout the entire growth period and in September. Drought does not affect the primary contributing components of the SIF-GPP relationship, but alters the contribution rates of each component, determined by the correlation between the maximum contributing component and GPP. This study provides important reference for deepening the understanding of drought response mechanisms in the coupling relationship between SIF and GPP.

     

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