Guopeng Zhou , Zhengbo Ma , Shang Han , Danna Chang , Jinxin Sun , Han Liu , Guodong Zhou , Qingxu Ma , Jia Liu , Ji Wu , David R. Chadwick , Davey L. Jones , Weidong Cao
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引用次数: 0
Abstract
Green manuring significantly increased rice yield and soil carbon (C) stocks, however, improper farming practices may result in elevated methane (CH4) emissions. This study investigated the effects of optimizing water management after green manure incorporation on soil quality index (SQI), rice productivity, C Footprint, net ecosystem economic budget (NEEB), and comprehensive evaluation index (CEI) over a 2-year period in a rice-green manure rotation system. A field experiment was conducted including five treatments: winter fallow-rice (WF) and green manure-single rice rotation combined with 0, 5, 10, and 15 days of delayed flooding after green manure incorporation (GM, GM-WM5, GM-WM10, GM-WM15). Compared with WF, green manuring treatments enhanced rice productivity and SQI. Delayed flooding following green manure incorporation achieved CH4 emission levels equal to or lower than those from WF, with emissions reduced by 37.7 %−76.1 % relative to GM. C Footprint and yield-scaled C Footprint lowered respectively from 43.9 t CO2-eq ha−1 and 2.7 kg CO2-eq kg−1 in GM to 9.8 −26.1 t CO2-eq ha−1 and 0.6 −1.6 kg CO2-eq kg−1 in delayed flooding managements, while NEEB increased by 1594 −2340 CNY ha−1 compared with GM. CEI showed the trend of WF < GM < GM-WM15 < GM-WM5 < GM-WM10. In conclusion, delayed flooding practice, especially delayed by 10 days after incorporating green manure, achieved a triple-win scenario for soil quality, rice productivity, and environmental benefits compared with traditional water management practices.
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.