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CO2 and N2O emissions from Lou soils of greenhouse tomato fields under aerated irrigation

Author:
Hou, Huijing, Chen, Hui, Cai, Huanjie, Yang, Fan, Li, Dan, Wang, Fangtong
Source:
Atmospheric environment 2016 v.132 pp. 69-76
ISSN:
1352-2310
Subject:
agricultural land, atmospheric chemistry, carbon dioxide, crop yield, developmental stages, fruit set, global warming, greenhouse effect, greenhouse gas emissions, greenhouse soils, irrigation, nitrous oxide, oxygen, tomatoes
Abstract:
The change of O2 content in soil caused by aerated irrigation (AI) must inevitably affect the production and emissions of CO2 and N2O from soils. This paper described in-situ observation of CO2 and N2O emissions from AI soils with static chamber-GC technique, in order to reveal the effects of AI on CO2 and N2O emissions from soils of greenhouse tomato fields in autumn-winter season. CO2 and N2O emissions from AI soils mainly concentrated in the blooming and fruit setting period compared to other periods. AI increased cumulative emissions of CO2 and N2O by 11.8% (p = 0.394) and 10.0% (p = 0.480), respectively, compared to the control. The integrative global warming potential of CO2 and N2O on a 100-year horizon for the AI treatment was 6430.60 kg ha⁻¹, increased by 11.7% compared with that for the control (p = 0.356). Both the emissions of CO2 and N2O from AI soils had the exponential positive correlation with soil water-filled pore space (WFPS). The highest peak of CO2 and N2O fluxes from AI soils was observed at 46.7% and 47.5% WFPS, with WFPS ranging from 43.3% to 51.5% and from 45.6% to 52.3% during the whole growth stage, respectively. In addition, the average yield for the AI treatment (34.52 t ha⁻¹) was significantly greater (17.4%) compared with that of the control (p = 0.018). These results suggest that AI do not significantly increase the integrative greenhouse effect caused by CO2 and N2O from soils of greenhouse tomato fields, but significantly increase the tomato yield. The research results provide certain theoretical foundation and scientific basis for accurately evaluating the farmland ecological effect of AI technique.
Agid:
5319845