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Chinese Journal of Applied Ecology ›› 2019, Vol. 30 ›› Issue (7): 2211-2217.doi: 10.13287/j.1001-9332.201907.016

• Special Features of Terrestrial Ecosystem and Agroforestry Meteorology • Previous Articles     Next Articles

Relationship of plant abundance, air temperature and humidity with negative ions based on control experiment

LI Ai-bo1,2, ZHAO Xiong-wei2, LI Chun-you2, ZHOU Ben-zhi1*, YANG Zhen-ya1, ZHOU Pei-pei2, ZHAO Ya-min1   

  1. 1Research Institute of Subtropical Forestry, Chinese Academy of Forestry/Qianjiangyuan Forest Ecosystem Research Station, National Forestry and Grassland Administration, Hangzhou 311400, China;
    2Hebei Agricultural University, Baoding 071000, Hebei, China.
  • Received:2019-01-17 Online:2019-07-15 Published:2019-07-15
  • Contact: * E-mail: benzhi_zhou@126.com

Abstract: Previous studies on negative air ion (NAI), an important index for evaluating atmospheric quality, has been focused on field observation, and less on NAI under controlled condition. In this study, the NAI concentrations of different individual abundance of Liquidambar formosana and Taxus wallichiana were continuously monitored under the same climatic conditions in Hushan Experimental Base of Qianjiangyuan Forest Ecosystem Research Station, Zhejiang Province from September to October 2018. Changes of NAI concentration were monitored under different levels of air temperature and relative humidity to explore the effects of forest vegetation and meteorological factors on NAI. The results showed that both species significantly increased the NAI concentration. Plant abundance was positively correlated with the NAI concentration, and the relationship between them fitted the quadratic function with the plant abundance ranging from 0 to 50. The fitting equations for L. formosana and T. wallichiana were as follows: y=-0.0484x2+4.7005x+345.7 (R2=0.62), y=-0.0207x2+1.9189x+365.91 (R2=0.34). There was a significant positive correlation between NAI concentration and air temperature in the range of 5-30 ℃ with a fitting equation of y=0.4139x2-9.2229x+89.919 (R2=0.92). The NAI concentration and the relative humidity of air in the range of 56%-87% were positively correlated with a fitting equation of y=3.6508e0.0526x(R2=0.94).