摘要
空气负离子(NAI)是衡量一个地区空气清洁度的重要指标,对人体的心理健康和生理机能具有重要的调节作用。植被光合过程中光电效应是NAI产生的重要来源和影响因素,但光电效应极其微弱而难以直接监测,而植物电信号是间接反映光电效应的重要指标,以往研究多侧重在不同森林群落中NAI的时空变化特征及其与气象因素的关系,目前关于NAI与植物电信号的研究较少。本研究以白皮松为对象,通过人工气候室控制试验,探讨不同光照强度下(0、150、300、500、700、800、1000和1200μmol·m^(-2)·s^(-1))植物电信号的变化特征及其与空气负离子的关系。结果表明:在0~700μmol·m^(-2)·s^(-1)光照范围内白皮松的植物电信号强度随光照强度的增强而显著提高,当光照强度达到700μmol·m^(-2)·s^(-1)时,植物电信号活跃度达到最高,随后光照强度的增加使植物受到光抑制,植物电信号活跃程度下降。植物电信号的频域参数(边缘频率、重心频率、功率谱熵和功率谱峰值)与NAI呈显著相关,其中边缘频率(E)与NAI的相关系数最高,二者的关系为NAI=30.981E+168.814(R^(2)=0.54),均方误差为52.203。植物电信号与NAI之间存在显著的相关关系,能够表征NAI的变化规律,对进一步了解森林植被对NAI的作用机理及贡献潜力提供科学依据。
Negative air ion(NAI)is an essential indicator for measuring air cleanliness of a given area,with vital role in regulating psychological and physiological functions of human body.The photoelectric effect is an important source and influencing factor for the generation of NAI during photosynthesis,but the photoelectric effect is extremely weak and difficult to monitor.Plant electrical signal is an important indicator that indirectly reflects photoelectric effect.Previous studies mostly focused on the spatiotemporal variation of NAI in different forest communities and its relationship with meteorological factors.At present,there is little research on NAI and plant electrical signal.In this study,we explored the effect of different light intensities(0,150,300,500,700,800,1000 and 1200μmol·m^(-2)·s^(-1))on characteristics of the plant electrical signal and its relationship with negative air ion,with Pinus bungeana as the research object.The results showed that the intensity of plant electrical signal increased significantly with the increases of light intensity in the illumination range of 0-700μmol·m^(-2)·s^(-1).When light intensity reached 700μmol·m^(-2)·s^(-1),plant electrical signal activity reached the highest level,and plant was inhibited by light when light intensity increased further,with plant electrical signal activity decreased.The frequencydomain parameters(edge frequency,gravity frequency,power spectrum entropy and power spectrum peak)of plant electrical signals were significantly correlated with NAI.The correlation coefficient between edge frequency(E)and NAI was the highest,the relationship between them was NAI=30.981E+168.814(R^(2)=0.54),and the mean square error was 52.203.There was a significant correlation between plant electrical signals and NAI,which could characterize the change rule of NAI,and provide scientific evidence for further understanding the contribution potential and production mechanism of forest to NAI.
作者
施光耀
桑玉强
张劲松
蔡露露
张家兴
孟平
薛攀
乔永胜
SHI Guang-yao;SANG Yu-qiang;ZHANG Jin-song;CAI Lu-lu;ZHANG Jia-xing;MENG Ping;XUE Pan;QIAO Yong-sheng(Research Institute of Forestry,Chinese Academy of Forestry/Key Laboratory of Tree Breeding and Cultivation,State Forestry Administration,Beijing 100091,China;Co-Innovation Center for Sustainable Forestry in Southern China,Nanjing Forestry University,Nanjing 210037,China;Henan Agricultural University,Zhengzhou 450002,China;Henan Geophysical Space Information Research Institute,Zhengzhou 450016,China;State Owned Nanshan Forest Farm of Jiyuan City,Jiyuan 459000,Henan,China)
出处
《应用生态学报》
CAS
CSCD
北大核心
2022年第2期439-447,共9页
Chinese Journal of Applied Ecology
基金
中央级公益性科研院所基本科研业务费专项资金项目(CAFYBB2018ZA002)资助。
