Temporal variabilities of soil carbon dioxide fluxes from cornfield impacted by temperature and precipitation changes through high-frequent measurement and DAYCENT modelling

Lai, Liming; Kumar, Sandeep; Rastogi, Deeksha; Ashfaq, Moetasim

doi:10.1017/s0021859622000132

Title: Temporal variabilities of soil carbon dioxide fluxes from cornfield impacted by temperature and precipitation changes through high-frequent measurement and DAYCENT modelling

Journal Article · Thu Mar 31 00:00:00 UTC 2022 · Journal of Agricultural Science

DOI: https://doi.org/10.1017/s0021859622000132 · OSTI ID:1883984

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Hetao College, Inner Mongolia (China); South Dakota State Univ., Brookings, SD (United States)
South Dakota State Univ., Brookings, SD (United States)
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Soil carbon dioxide (CO₂) emissions from the field of corn (Zea mays L.) play an important role in global warming. This study investigated temporal variability of soil CO₂ fluxes (R_s) with soil temperature (T_s) and moisture (θ) and built DAYCENT models for predicting future impacts of climate changes on R_s using the measured high-frequency data. R_s trend was tested by Mann–Kendall and Sen Estimator. Predicted R_ss under different climate scenarios were compared using Parallel-line Analysis. Herein, the findings indicated that daily R_s exponentially increased with T_s constrained by θ. During the θ of 27–31%, there was a strong exponential relationship between R_s and T_s, but the relationship was weaker for the θ of 38–41% and 22–26%. Soil environmental index (SEI, T_s × θ) significantly impacted R_s with linear regression R_s^0.5 = 0.4599 + 0.002059 × SEI in 2008, 2009 and 2011. At the diurnal scale, there were different trends in R_ss and relationships among R_s and T_s and θ in different years. Predicted yearly R_ss, root R_ss and corn yield in 2014–2049 increased with an increase in temperature scenarios, but the R_ss significantly increased as temperature rose by 1°C or higher. Predicted yearly R_ss, root R_ss and yield reduced with precipitation scenario increase, and the root R_ss and yield significantly diminished as precipitation increased by 15 and 30%. Predicted yearly R_s from cornfields had a significantly increasing trend. Future research is needed to explore methods for mitigating cornfield R_s and evaluating sensitivities of different cropland R_ss to temperature changes.

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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE Office of Science (SC)

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1883984

Journal Information:: Journal of Agricultural Science, Journal Name: Journal of Agricultural Science Journal Issue: 3-4 Vol. 160; ISSN 0021-8596

Publisher:: Cambridge University PressCopyright Statement

Country of Publication:: United States

Language:: English

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54 ENVIRONMENTAL SCIENCES
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Title: Temporal variabilities of soil carbon dioxide fluxes from cornfield impacted by temperature and precipitation changes through high-frequent measurement and DAYCENT modelling

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