NO2胁迫下三角梅叶片形态解剖结构和最优光响应模型研究
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国家自然科学青年科学基金项目(32101582);江苏省自然科学青年基金(BK20210613);江苏省高等学校自然科学研究面上项目(21KJB220008)


Morphological,anatomical structure and optimal light response model of Bougainvillea spectabilis leaves under NO2 stress
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    摘要:

    植物的形态结构和光合作用能够反映植物对城市空气污染的响应特性。探究城市道路机动车尾气中的典型污染物NO2气体,对植物叶片的生理光合响应特性。以二年生三角梅(Bougainvillea spectabilis)幼苗为对象,利用智能化人工熏气室模拟熏气(NO2体积分数分别为0 μL/L (自然空气)、4 μL/L,8 μL/L,记作CK、T1、T2),观察NO2胁迫后三角梅的叶片形态、微观结构和光合特征。结果表明:(1)通过叶片形态观察发现,与CK相比,低浓度T1组叶片变化不明显,随着NO2气体胁迫浓度的增加,高浓度T2组叶片逐渐出现失水、叶表面有明显的水渍状或烧灼状黄色斑点。(2)通过叶片微观结构解剖发现,高浓度NO2胁迫后气孔皱缩程度增加,气孔开度减小;叶绿体结构变形,尤其是类囊体结构疏松,膨胀等变化。(3)叶片光合特性分析发现,T1和T2组的NO2胁迫导致光饱和点(LSP)和最大净光合速率(Pnmax)下降、光补偿点(LCP)增加,表观量子效率(AQE)和暗呼吸速率(Rd)在4种光响应模型中变化规律存在一定的差异性。(4)4种光响应模型中,CK组决定系数(R2)越高,均方根误差(RMSE)越低,精度最高,尤以叶子飘等机理模型为最优,拟合效果最好,其次是直角双曲线模型。研究结果表明三角梅可通过自身的形态变化、调整光合特征参数,较好地适应不同浓度的NO2,尤其是高浓度急性胁迫下,该研究结果有助于促进不同道路绿地三角梅的推广应用,对探究三角梅的景观效益和生态效益,揭示其对环境异质性的适应机制具有重要意义。

    Abstract:

    Plant morphology and photosynthesis can serve as indicators of how well a plant will react to urban air pollution. The physiological photosynthetic response of plant leaves to NO2, a characteristic contaminant in vehicle exhaust from urban roads, was studied in this study. The intelligent artificial fumigation chamber was used to simulate the biennial Bougainvillea spectabilis seedlings (NO2 volume fraction was 0 μL/L (natural air), 4 μL/L, and 8 μL/L, labeled as CK, T1, and T2).After NO2 stress, we looked at the leaf morphology, microstructure, and photosynthetic traits of B. spectabilis. The findings revealed that:(1) It was discovered that the low concentration T1 group's leaves underwent minimal alteration in comparison to CK. The leaves in the high concentration T2 group gradually lost water as the concentration of NO2 gas stressed them, leaving either clear water stains or cauterized yellow patches on the leaf surface. (2) Leaf microstructure study revealed that under conditions of high NO2 stress, the extent of stomatal shrinking increased and stomatal openness reduced. Chloroplast structure changes, particularly the loosening and enlargement of the thylakoid structure.(3) Leaf photosynthetic characteristics study revealed that NO2 stress in the T1 and T2 groups decreased the maximum net photosynthetic rate (Pnmax) and the light saturation point (LSP), while increasing the light compensation point (LCP). There were differences between the four light response models in terms of apparent quantum efficiency (AQE) and dark respiration rate (Rd). (4) Among the four light response models, the CK group had the highest accuracy, the lowest root mean square error, and the highest coefficient of determination (R2) among the four. Particularly, the rectangular hyperbola model comes in second place to the leaf drift mechanism model in terms of best fitting performance.Our study's findings demonstrate that B. spectabilis may adapt to varying NO2 concentrations, notably high concentrations under acute stress, by changing its morphology and photosynthetic characteristic characteristics.The findings will assist spread awareness of and use of various road greenbelt B. spectabilis. It is crucial to understand B. spectabilis' ecological and spatial advantages as well as its process of adaptation in order to better understand environmental heterogeneity.

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圣倩倩,宋爽,陈文静,宋敏,祝遵凌. NO2胁迫下三角梅叶片形态解剖结构和最优光响应模型研究.生态学报,2023,43(12):5110~5121

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