Sun Xiaoxi, Tan Ehui, Wang Beichen, Gan Zixuan, Yang Jian, Han Jibin, Zhang Xiying, Kao Shuh-Ji, King Gary, Dong Hailiang, Jiang Hongchen
State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, 430074, China; Key Laboratory of Salt Lake Geology and Environment of Qinghai Province, Qinghai Institute of Salt Lakes, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Xining 810008, China.
State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, 570228, China.
Water Res. 2023 Oct 15;245:120668. doi: 10.1016/j.watres.2023.120668. Epub 2023 Sep 25.
Current estimations of nitrogen biogeochemical cycling and NO emissions in global lakes as well as predictions of their future changes are overrepresented by freshwater datasets, while less consideration is given to widespread saline lakes with different salinity (representing salinization or desalinization). Here, we show that NO production by denitrification is the main process of reactive nitrogen (Nr, the general abbreviations of NH-N, NO-N and NO-N) removal in hypersaline lake sediments (e.g. Lake Chaka). The integration of our field measurements and literature data shows that in response to natural salinity decrease, potential Nr removal increases while NO production decreases. Furthermore, denitrification-induced N production exhibits higher salinity sensitivity than denitrification-induced NO production, suggesting that the contribution of NO to Nr removal decreases with decreasing salinity. This field-investigation-based salinity response model of Nr removal indicates that under global climate change, saline lakes in the process of salinization or desalination may have distinct Nr removal and climate feedback effects: salinized lakes tend to generate a positive climate feedback, while desalinated lakes show a negative feedback. Therefore, salinity change should be considered as an important factor in assessing future trend of NO emissions from lakes under climate change.
目前全球湖泊中氮生物地球化学循环和一氧化氮排放的估计以及对其未来变化的预测,过多地依赖淡水数据集,而对于不同盐度(代表盐化或脱盐)的广泛分布的盐湖则较少考虑。在此,我们表明反硝化作用产生一氧化氮是高盐度湖泊沉积物(如茶卡盐湖)中活性氮(Nr,NH-N、NO-N和NO-N的统称)去除的主要过程。我们的实地测量数据与文献数据相结合表明,随着自然盐度降低,潜在的Nr去除量增加,而一氧化氮的产生量减少。此外,反硝化作用诱导的氮气产生比反硝化作用诱导的一氧化氮产生表现出更高的盐度敏感性,这表明随着盐度降低,一氧化氮对Nr去除的贡献减小。这种基于实地调查的Nr去除盐度响应模型表明,在全球气候变化下,处于盐化或脱盐过程中的盐湖可能具有不同的Nr去除和气候反馈效应:盐化湖泊倾向于产生正气候反馈,而脱盐湖泊则表现出负反馈。因此,在评估气候变化下湖泊一氧化氮排放的未来趋势时,应将盐度变化视为一个重要因素。