{"title":"Microbiota-induced asymmetry in coastal methane emission potential under experimental precipitation gradients.","authors":"Lifeng Zhou, Lirong Zhang, Run Dang, Guangxuan Han, Jian Liu, Meng Zhou, Leilei Xiao","doi":"10.1016/j.envres.2024.120601","DOIUrl":null,"url":null,"abstract":"<p><p>Climate models predict that the frequency and intensity of extreme precipitation events will increase globally. Despite carbon budget in coastal wetlands is known to be sensitive to precipitation variability, in where CH<sub>4</sub> productions and potential mechanisms remain poorly understood. We investigated CH<sub>4</sub> emission potential and its drivers after 7-year of field experiments with five precipitation gradients (-60%, -40%, ambient condition, +40%, +60%) in Yellow River Delta, China. The response of CH<sub>4</sub> emission potential to precipitation gradients exhibited significant asymmetry, with the highest emission potential occurring under +40% precipitation. <sup>13</sup>C-isotope tracing experiment discovered the primary contribution of acetoclastic methanogenic pathway. +40% precipitation significantly improved the accumulation of aboveground biomass, soil organic carbon and total nitrogen. Microbial community abundance, but not composition, referring to metagenome-assembled genomes also actively responded to precipitation changes. For example, +40% precipitation increased the relative abundance of Methanosarcinia and Methanobacteria. Furthermore, CH<sub>4</sub> emission potential was also promoted by higher microbial enzyme activity. Collectively, CH<sub>4</sub> emission potential in response to 7-year experimental precipitations was regulated by microbiota-driven, showing obvious asymmetry.</p>","PeriodicalId":312,"journal":{"name":"Environmental Research","volume":" ","pages":"120601"},"PeriodicalIF":7.7000,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Research","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1016/j.envres.2024.120601","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Climate models predict that the frequency and intensity of extreme precipitation events will increase globally. Despite carbon budget in coastal wetlands is known to be sensitive to precipitation variability, in where CH4 productions and potential mechanisms remain poorly understood. We investigated CH4 emission potential and its drivers after 7-year of field experiments with five precipitation gradients (-60%, -40%, ambient condition, +40%, +60%) in Yellow River Delta, China. The response of CH4 emission potential to precipitation gradients exhibited significant asymmetry, with the highest emission potential occurring under +40% precipitation. 13C-isotope tracing experiment discovered the primary contribution of acetoclastic methanogenic pathway. +40% precipitation significantly improved the accumulation of aboveground biomass, soil organic carbon and total nitrogen. Microbial community abundance, but not composition, referring to metagenome-assembled genomes also actively responded to precipitation changes. For example, +40% precipitation increased the relative abundance of Methanosarcinia and Methanobacteria. Furthermore, CH4 emission potential was also promoted by higher microbial enzyme activity. Collectively, CH4 emission potential in response to 7-year experimental precipitations was regulated by microbiota-driven, showing obvious asymmetry.
期刊介绍:
The Environmental Research journal presents a broad range of interdisciplinary research, focused on addressing worldwide environmental concerns and featuring innovative findings. Our publication strives to explore relevant anthropogenic issues across various environmental sectors, showcasing practical applications in real-life settings.