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Xiaoyin Liu
College of Agricultural Science and Engineering, Hohai University, Nanjing 210098, China

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Journal article
Published: 08 January 2021 in Sustainability
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Soil organic carbon (SOC) conservation in agricultural soils is vital for sustainable agricultural production and climate change mitigation. To project changes of SOC and rice yield under different water and carbon management in future climates, based on a two-year (2015 and 2016) field test in Kunshan, China, the Denitrification Decomposition (DNDC) model was modified and validated and the soil moisture module of DNDC was improved to realize the simulation under conditions of water-saving irrigation. Four climate models under four representative concentration pathways (RCP 2.6, RCP 4.5, RCP 6.0, and RCP 8.5), which were integrated from the fifth phase of the Coupled Model Intercomparison Project (CMIP5), were ensembled by the Bayesian Model Averaging (BMA) method. The results showed that the modified DNDC model can effectively simulate changes in SOC, dissolved organic carbon (DOC), and rice yield under different irrigation and fertilizer management systems. The normalized root mean squared errors of the SOC and DOC were 3.45–17.59% and 8.79–13.93%, respectively. The model efficiency coefficients of SOC and DOC were close to 1. The climate scenarios had a great impact on rice yield, whereas the impact on SOC was less than that of agricultural management measures on SOC. The average rice yields of all the RCP 2.6, RCP 4.5, RCP 6.0, and RCP 8.5 scenarios in the 2090s decreased by 18.41%, 38.59%, 65.11%, and 65.62%, respectively, compared with those in the 2020s. The long-term effect of irrigation on the SOC content of paddy fields was minimal. The SOC of the paddy fields treated with conventional fertilizer decreased initially and then remained unchanged, while the other treatments increased obviously with time. The rice yields of all the treatments decreased with time. Compared with traditional management, controlled irrigation with straw returning clearly increased the SOC and rice yields of paddy fields. Thus, this water and carbon management system is recommended for paddy fields.

ACS Style

Zewei Jiang; Shihong Yang; Jie Ding; Xiao Sun; Xi Chen; Xiaoyin Liu; Junzeng Xu. Modeling Climate Change Effects on Rice Yield and Soil Carbon Under Variable Water and Nutrient Management. Sustainability 2021, 13, 568 .

AMA Style

Zewei Jiang, Shihong Yang, Jie Ding, Xiao Sun, Xi Chen, Xiaoyin Liu, Junzeng Xu. Modeling Climate Change Effects on Rice Yield and Soil Carbon Under Variable Water and Nutrient Management. Sustainability. 2021; 13 (2):568.

Chicago/Turabian Style

Zewei Jiang; Shihong Yang; Jie Ding; Xiao Sun; Xi Chen; Xiaoyin Liu; Junzeng Xu. 2021. "Modeling Climate Change Effects on Rice Yield and Soil Carbon Under Variable Water and Nutrient Management." Sustainability 13, no. 2: 568.

Journal article
Published: 28 January 2019 in Atmosphere
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Surface energy distribution in paddy fields and the ratio of latent heat flux (LE) to available energy, termed as the evaporative fraction (EF), are essential for an understanding of water and energy processes. They are expected to vary in different ways in response to changes in the soil moisture condition under water-saving irrigation practice. In this study, the diurnal and seasonal variations in energy distribution were examined based on the data measured by the eddy covariance system and corrected with enforcing energy balance closure by the EF method in water-saving irrigated rice paddies in 2015 and 2016. Soil heat flux (G) values were similar in magnitude to sensible heat flux (Hs) values, with both accounting for approximately 5% of the energy input. Both magnitudes of G and Hs were significantly lower than that of LE. Generally, EF in water-saving irrigated rice paddies was larger than that of other ecosystems, and varied within a narrow range from 0.7 to 1.0. Diurnally, EF decreased till noon and then increased slowly in the afternoon till sunset. It was found be less varied between 10:00 and 14:00. Seasonally, the alternative drying-wetting soil water conditions in water-saving irrigated rice paddies resulted in a change in the variation of the EF. The LE flux is the largest component of available energy, with EF being mostly higher than 0.9. EF, increasing consistently till the tillering stage, remaining high from the late tillering to milk stage, and then following a declining trend. The maximum EF (approaching 1.0) was found in the milk stage. The results of EF in water-saving irrigated rice paddies will be helpful for estimating daily or long temporal scale evapotranspiration (ET) by the EF method based on satellite-derived ET.

ACS Style

Xiaoyin Liu; Junzeng Xu; Shihong Yang; Yuping Lv. Surface Energy Partitioning and Evaporative Fraction in a Water-Saving Irrigated Rice Field. Atmosphere 2019, 10, 51 .

AMA Style

Xiaoyin Liu, Junzeng Xu, Shihong Yang, Yuping Lv. Surface Energy Partitioning and Evaporative Fraction in a Water-Saving Irrigated Rice Field. Atmosphere. 2019; 10 (2):51.

Chicago/Turabian Style

Xiaoyin Liu; Junzeng Xu; Shihong Yang; Yuping Lv. 2019. "Surface Energy Partitioning and Evaporative Fraction in a Water-Saving Irrigated Rice Field." Atmosphere 10, no. 2: 51.