Xia Ye, Fu Congsheng, Liao Aimin, Wu Huawu, Wu Haohao, Zhang Haixia
Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China.
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing 210044, China.
Plants (Basel). 2023 Dec 20;13(1):25. doi: 10.3390/plants13010025.
Cropland ecosystems are significant emission sources of NO, but a limited number of studies have focused on the impact of extreme weather events on NO fluxes from cropland. This present study integrated field observations and model simulations to explore the responses of NO fluxes to extreme weather events in typical rice and wheat rotation croplands in the middle and lower reaches of the Yangtze River (MLRYR) in China. The findings revealed that the studied rice-wheat rotation cropland exhibited a net source of NO over the three-year monitoring period, with annual cumulative NO emissions ranging from 190.4 to 261.8 mg N m. NO emissions during the rice and wheat growing seasons accounted for 29% and 71% of the total yearly emissions, respectively. Extreme heat events led to a 23% to 32% increase in observed NO emissions from cropland. Observed NO emissions from irrigated rice fields during extreme precipitation events were 45% lower than those during extreme drought events. In contrast, extreme precipitation events raised observed NO emissions from rain-fed wheat fields by 36% compared to the multi-year average, while extreme drought events reduced NO emissions from wheat fields by 20%. Regional simulations indicated that annual cumulative NO emissions from croplands in the MLRYR are projected to increase from 207.8 mg N m under current climate to 303.4 mg N m in the future. Given the episodic nature and uncertainties associated with NO emissions from cropland, further validation is necessary for utilizing the model to explore the effects of extreme weather events on NO in cropland ecosystems.
农田生态系统是一氧化氮的重要排放源,但仅有少数研究关注极端天气事件对农田一氧化氮通量的影响。本研究综合了实地观测和模型模拟,以探讨中国长江中下游地区典型水稻-小麦轮作农田中一氧化氮通量对极端天气事件的响应。研究结果表明,在三年的监测期内,所研究的水稻-小麦轮作农田表现为一氧化氮的净排放源,年累计一氧化氮排放量在190.4至261.8毫克氮/平方米之间。水稻和小麦生长季节的一氧化氮排放量分别占年总排放量的29%和71%。极端高温事件导致农田观测到的一氧化氮排放量增加了23%至32%。在极端降水事件期间,灌溉稻田观测到的一氧化氮排放量比极端干旱事件期间低45%。相比之下,极端降水事件使雨养小麦田观测到的一氧化氮排放量比多年平均水平增加了36%,而极端干旱事件使小麦田的一氧化氮排放量减少了20%。区域模拟表明,长江中下游地区农田的年累计一氧化氮排放量预计将从当前气候条件下的207.8毫克氮/平方米增加到未来的303.4毫克氮/平方米。鉴于农田一氧化氮排放的偶发性和不确定性,利用该模型探索极端天气事件对农田生态系统中一氧化氮的影响还需要进一步验证。