Cong Wang , Huifeng Sun , Xianxian Zhang , Jining Zhang , Zheng Jiang , Sheng Zhou
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引用次数: 0
Abstract
A long-term continuous in situ field experiment was conducted in the Yangtze River Delta region of China to quantify the effects of different rice-based conservation tillage (CT) practices on greenhouse gas (GHG) emissions and rice yields, compared to a conventional rice-wheat rotation system (RW). Four representative rice-based CT practices were evaluated: no-tillage rice-wheat rotation (RT), rice-winter fallow (RF), and rice-green manure rotation with low (RM-LN) and high nitrogen (N) fertilizer inputs (RM-HN). The RW, RT, and RF treatments were implemented continuously from 2012 to 2021. The RM-LN treatment was implemented from 2012 to 2016, followed by the RM-HN treatment in the same plots from 2017 to 2021. The results indicated that, compared to the RW treatment, the RT, RF, RM-LN, and RM-HN treatments resulted in decreases in total GHG emissions during the rice-growing season by 11.5 %, 40.2 % (P < 0.01), 41.0 % (P < 0.05), and 35.2 % (P < 0.05), respectively, within the corresponding years of implementation. When compared to the RW treatment, the RT and RM-LN treatments significantly reduced rice yields by 6.7 % (P < 0.01) and 8.7 % (P < 0.01), respectively. In contrast, the RF and RM-HN treatments had no significant impact on rice yields relative to RW across the corresponding years. Consequently, relative to the RW treatment, the RF and RM-HN treatments achieved reductions in rice yield-scaled greenhouse gas intensity (GHGI) of 31.3 % (P < 0.05) and 34.0 % (P < 0.05), respectively, across the corresponding years, while maintaining rice yields. These findings suggest that RF and RM-HN are effective CT practices for mitigating GHG emissions from rice paddies in the Yangtze River Delta region.
期刊介绍:
Agriculture, Ecosystems and Environment publishes scientific articles dealing with the interface between agroecosystems and the natural environment, specifically how agriculture influences the environment and how changes in that environment impact agroecosystems. Preference is given to papers from experimental and observational research at the field, system or landscape level, from studies that enhance our understanding of processes using data-based biophysical modelling, and papers that bridge scientific disciplines and integrate knowledge. All papers should be placed in an international or wide comparative context.