Literature DB >> 30975314

Influence of physiological and environmental factors on the diurnal variation in emissions of biogenic volatile compounds from Pinus tabuliformis.

Jungang Chen1, Huaxing Bi2, Xinxiao Yu3, Yanlin Fu3, Wenchao Liao4.   

Abstract

Biological volatile organic compounds (BVOCs) have a large influence on atmospheric environmental quality, climate change and the carbon cycle. This study assesses the composition and diurnal variation in emission rates of BVOCs from Pinus tabuliformis, using an enclosure technique. Environmental parameters (temperature and light intensity) and physiological parameters (net photosynthetic rate, Pn; stomatal conductance, gs; intercellular CO2 concentration, Ci; and transpiration rate, Tr) that may affect emission behavior were continuously monitored. The 10 most abundant compound groups emitted by P. tabuliformis were classified by gas chromatography-mass spectrometry. The dominant monoterpenoid compounds emitted were α-pinene, β-myrcene, α-farnesene and limonene. The diurnal emission rate of BVOCs changed with temperature and light intensity, with dynamic analysis of BVOCs emissions revealing that their emission rates were more affected by temperature than light. The variation in monoterpene emission rates was consistent with estimates of Pn, gs and Tr. Basal emission rates (at 30 °C,) of the main BVOCs ranged from 0.006 to 0.273 μg  -1/(hr g), while the basal ER standardization coefficients ranged from 0.049 to 0.144 °C-1. Overall, these results provide a detailed reference for the effective selection and configuration of tree species to effectively prevent and control atmospheric pollution.
Copyright © 2019. Published by Elsevier B.V.

Entities:  

Keywords:  Biogenic volatile organic compounds; Emission rate; Monoterpenes; Pinus tabuliformis

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Substances:

Year:  2019        PMID: 30975314     DOI: 10.1016/j.jes.2019.01.020

Source DB:  PubMed          Journal:  J Environ Sci (China)        ISSN: 1001-0742            Impact factor:   5.565


  2 in total

1.  Electroantennogram and machine learning reveal a volatile blend mediating avoidance behavior by Tuta absoluta females to a wild tomato plant.

Authors:  Raphael Njurai Miano; Pascal Mahukpe Ayelo; Richard Musau; Ahmed Hassanali; Samira A Mohamed
Journal:  Sci Rep       Date:  2022-05-27       Impact factor: 4.996

2.  Volatile and Non-Volatile Allelopathic Characteristics in Thermally Processed Needles of Two Conifers.

Authors:  Chan Saem Gil; Daeun Hong; Shucheng Duan; Seok Hyun Eom
Journal:  Plants (Basel)       Date:  2022-04-07
  2 in total

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