Literature DB >> 30267916

Effect of simulated acid rain on CO2, CH4 and N2O fluxes and rice productivity in a subtropical Chinese paddy field.

Chun Wang1, Weiqi Wang2, Jordi Sardans3, Wanli An1, Congsheng Zeng1, Abbas Ali Abid4, Josep Peñuelas5.   

Abstract

The need of more food production, an increase in acidic deposition and the large capacity of paddy to emit greenhouse gases all coincide in several areas of China. Studying the effects of acid rain on the emission of greenhouse gases and the productivity of rice paddies are thus important, because these effects are currently unknown. We conducted a field experiment for two rice croppings (early and late paddies independent experiment) to determine the effects of simulated acid rain (control, normal rain, and treatments with rain at pH of 4.5, 3.5 and 2.5) on the fluxes of CO2, CH4 and N2O and on rice productivity in subtropical China. Total CO2 fluxes at pHs of 4.5, 3.5 and 2.5 were 10.3, 9.7 and 3.2% lower in the early paddy and 28.3, 14.8 and 6.8% lower in the late paddy, respectively, than the control. These differences from the control were significant for pH 3.5 and 4.5. Total CH4 fluxes at pHs of 4.5, 3.5 and 2.5 were 50.4, 32.9 and 25.2% lower in the early paddy, respectively, than the control. pH had no significant effect on CH4 flux in the late paddy or for total (early + late) emissions. N2O flux was significantly higher at pH 2.5 than 3.5 and 4.5 but did not differ significantly from the flux in the control. Global-warming potentials (GWPs) were lower than the control at pH 3.5 and 4.5 but not 2.5, whereas rice yield was not appreciably affected by pH. Acid rain (between 3.5 and 4.5) may thus significantly affect greenhouse gases emissions by altering soil properties such as pH and nutrient pools, whereas highly acidic rain (pH 2.5) could increase GWPs (but not significantly), probably partially due to an increase in the production of plant litter.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Acid rain; Greenhouse gases; Paddy; Rice productivity

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Year:  2018        PMID: 30267916     DOI: 10.1016/j.envpol.2018.08.103

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  1 in total

1.  Higher Sensitivity of Microbial Network Than Community Structure under Acid Rain.

Authors:  Ziqiang Liu; Hui Wei; Jiaen Zhang; Muhammad Saleem; Yanan He; Jiawen Zhong; Rui Ma
Journal:  Microorganisms       Date:  2021-01-06
  1 in total

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