| 毛乌素沙地油蒿光系统II多时间尺度的环境响应特征 |
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| 引用本文： | 靳川, 蒋燕, 李鑫豪, 徐铭泽, 高圣杰, 魏宁宁, 贾昕, 田赟, 查天山. 毛乌素沙地油蒿光系统II多时间尺度的环境响应特征[J]. 农业工程学报, 2021, 37(2): 152-160. DOI: 10.11975/j.issn.1002-6819.2021.2.018 |
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| 作者姓名： | 靳川 蒋燕 李鑫豪 徐铭泽 高圣杰 魏宁宁 贾昕 田赟 查天山 |
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| 作者单位： | 1.北京林业大学水土保持学院宁夏盐池毛乌素沙地生态系统国家定位观测研究站，北京 100083;2.北京林业大学水土保持国家林业局重点实验室，北京 100083 |
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| 基金项目： | 国家自然科学基金项目（32071842，31901366，32071843）；中央高校基本科研业务费专项资金项目（2015ZCQ-SB-02） |
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| 摘 要： | 中国西北荒漠地区极端天气事件频发，探究荒漠植物适应环境波动的调节过程和机制，可帮助预测未来气候变化背景下荒漠生态系统群落的演替和发展。该研究选取宁夏盐池毛乌素沙地优势物种油蒿（Artemisia ordosica）为研究对象，进行叶绿素荧光的长期原位连续观测。运用小波分析方法探究油蒿光系统II（Photosystem II，PSII）能量分配参数与光合有效辐射（Photosynthetically Active Radiation，PAR）、空气温度、饱和水汽压差（Vapor Pressure Difference，VPD）和土壤含水率（Soil Water Content，SWC）在多时间尺度上的动态格局。结果表明：日尺度下，PSII能量分配参数滞后PAR 43 min，分别滞后空气温度、VPD和SWC 3.3、4.6和10.72 h（P<0.05），油蒿可能通过叶黄素循环等热耗散机制和改变气孔导度等途径调节PSII能量分配。在季节尺度下，PSII能量分配参数分别滞后于空气温度、VPD和PAR 7.2、8.8和14.7 d，滞后于SWC长达21.6 d（P<0.05），油蒿可能通过提高PSII修复能力、增加特定蛋白数量和叶绿素浓度等方式调节PSII能量分配。油蒿PSII能量分配参数和最大光化学效率的波动符合其物候期规律，最大光化学效率和实际光化学效率在7和8月降低，调节性热耗散和非调节性热耗散增高。5和9月，非调节性热耗散增高且伴随最大光化学效率低值出现。研究认为，不同时间尺度PSII能量分配调控机制存在差异，油蒿通过修复损伤最大光化学效率维持在0.78附近使PSII生理状态恢复正常生理水平，对水分亏缺、极端温度和高辐射有一定适应能力。该研究可为农作物生长实时监测与保护农业生态平衡提供科学参考。
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| 关 键 词： | 干旱区 小波分析 荧光监测 季节变化 |
| 收稿时间： | 2020-10-23 |
| 修稿时间： | 2021-01-10 |
Multi-time scale property of environmental responses to photosystem II of Artemisia ordosica in Mu Us desert |
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| Jin Chuan, Jiang Yan, Li Xinhao, Xu Mingze, Gao Shengjie, Wei Ningning, Jia Xin, Tian Yun, Zha Tianshan. Multi-time scale property of environmental responses to photosystem II of Artemisia ordosica in Mu Us desert[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2021, 37(2): 152-160. DOI: 10.11975/j.issn.1002-6819.2021.2.018 |
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| Authors: | Jin Chuan Jiang Yan Li Xinhao Xu Mingze Gao Shengjie Wei Ningning Jia Xin Tian Yun Zha Tianshan |
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| Affiliation: | 1.Yanchi Research Station, School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China;2.Key Laboratory of Soil and Water Conservation of State Forestry Administration, Beijing Forestry University, Beijing 100083, China |
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| Abstract: | Extreme weather events occur frequently in the desert region of northwest China,such as drought,high temperature,and strong radiation.Desert vegetation is often exposed to multiple environmental stresses.Plants in deserts are at risk of rapid degradation,particularly that those are sensitive to climate change.Therefore,it is necessary to explore the response of vegetation to environmental fluctuations in this region,aiming to clarify the regulatory mechanisms of desert plants to the environments,and thereby predict the succession and development of desert ecosystem communities under future climate change.Chlorophyll fluorescence technology can rapidly collect detailed information of photosystem Ⅱ(PSⅡ)energy distribution without damage,which is widely used for in situ monitoring environmental stress in plants.However,there are some lags of covariance between chlorophyll fluorescence parameters and related environmental factors by just visually examining their time series,particularly on timescales.Wavelet analysis can be selected to analyze transient dynamics between two-time series,providing valuable insights into the temporal dynamics of ecological time series and their environmental controls.Unfortunately,few studies were applied wavelet techniques to chlorophyll fluorescence measurements in desert ecosystems.In this study,an in-situ field measurement of chlorophyll fluorescence was conducted for Artemisia ordosica in the Mu Us desert,and then the Continuous Wavelet Transform(CWT)and Wavelet Coherence(WTC)analysis were selected to investigate how the Photosynthetically Active Radiation(PAR),air temperature,Vapor Pressure difference(VPD),and Soil Water Content(SWC)modulated the variability of PSⅡ energy partitioning in the time-frequency domain.The results showed that:The CWT revealed that there were clear daily periodicities on the PSⅡ energy partitioning parameters,such as the photochemical efficiency,regulated heat dissipation,and non-regulated heat dissipation,indicating a strong oscillation at intermediate scales(days to weeks).On the diurnal scale,the continuous areas of significant WTC were observed between PSⅡ energy partitioning parameters and environmental factors during growing seasons,43 min,3.3,4.6 and 10.72 h lagged behind PAR,air temperature,VPD and SWC,respectively(P<0.05).This can imply that the heat dissipation in the lutein cycle and the change of stomatal conductance can be the underlying mechanisms regulating the energy partitioning of PSⅡ on a short timescale.On the seasonal scale,non-continuous areas of significant WTC were observed between PSⅡ energy partitioning parameters and environmental factors,7.2,8.8,14.7,and 21.6 days lagged behind air temperature,VPD,PAR,and SWC,respectively(P<0.05).It infers that the repairing capacity of PSⅡ,the amount of specific protein,and chlorophyll concentration can be the underlying mechanisms regulating the energy partitioning of PSⅡ on a long timescale.The fluctuations of the maximal quantum yield of PSⅡ photochemistry and PSⅡ energy partitioning parameters of Artemisia ordosica were basically consistent with the vegetation phenological period.In July and August,maximal quantum yield of PSⅡ photochemistry andΦPSⅡ decreased,whereas,regulated heat dissipation and non-regulated heat dissipation increased.In May and September,non-regulated heat dissipation increased,while maximal quantum yield of PSⅡ photochemistry decreased.This demonstrated that the mechanisms of Artemisia ordosica regulating PSⅡ energy partitioning depended mainly on different time scales.It was also found that Artemisia ordosica can repair the damaged PSⅡ by itself in the harsh environment,especially in a desert,returning to normal physiological level in which the maximal quantum yield of PSⅡ photochemistry remained around 0.78,indicating that a strong tolerance to drought and high radiation.This study can provide a scientific reference to real-time monitor the crop growth,and thereby protect the agricultural ecology system in the desert. |
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| Keywords: | arid regions wavelet analysis fluorescence monitoring seasonal fluctuations |
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