典型文献
The Synergism between Methanogens and Methanotrophs and the Nature of their Contributions to the Seasonal Variation of Methane Fluxes in a Wetland:The Case of Dajiuhu Subalpine Peatland
文献摘要：
Wetland ecosystems are the most important natural methane(CH4)sources,whose fluxes periodically fluctuate.Methanogens(methane producers)and methanotrophs(methane consumers)are considered key factors affecting CH4 fluxes in wetlands.However,the symbiotic relationship between methanogens and methanotrophs remains unclear.To help close this research gap,we collected and analyzed samples from four soil depths in the Dajiuhu subalpine peatland in January,April,July,and October 2019 and acquired seasonal methane flux data from an eddy covariance(EC)system,and investigated relationships.A phylogenetic molecular ecological networks(pMENs)analysis was used to identify keystone species and the seasonal variations of the co-occurrence patterns of methanogenic and methanotrophic communities.The results indicate that the seasonal variations of the interactions between methanogenic and methanotrophic communities contributed to CH4 emissions in wetlands.The keystone species discerned by the network analysis also showed their importance in mediating CH4 fluxes.Methane(CH4)emissions in wetlands were lowest in spring;during this period,the most complex interactions between microbes were observed,with intense competition among methanogens while methanotrophs demonstrated better cooperation.Reverse patterns manifested themselves in summer when the highest CH4 flux was observed.Methanoregula formicica was negatively correlated with CH4 fluxes and occupied the largest ecological niches in the spring network.In contrast,both Methanocella arvoryzae and Methylocystaceae demonstrated positive correlations with CH4 fluxes and were better adapted to the microbial community in the summer.In addition,soil temperature and nitrogen were regarded as significant environmental factors to CH4 fluxes.This study was successful in explaining the seasonal patterns and microbial driving mechanisms of CH4 emissions in wetlands.
文献关键词：
中图分类号：
作者姓名：
Luwen WANG;Jiwen GE;Liang FENG;Yaoyao LIU;Yu LI;Jiumei WANG;Xiang XIAO;Zhiqi ZHANG
作者机构：
Laboratory of Basin Hydrology and Wetland Eco-Restoration,China University of Geosciences,Wuhan 430074,China;Hubei Key Laboratory of Wetland Evolution and Ecological Restoration,China University of Geosciences,Wuhan 430074,China;Institution of Ecology and Environmental Sciences,China University of Geosciences,Wuhan 430074,China;Shennongjia National Park Administration Bureau,Shennongjia Forestry District 442417,China
文献出处：
引用格式：
[1]Luwen WANG;Jiwen GE;Liang FENG;Yaoyao LIU;Yu LI;Jiumei WANG;Xiang XIAO;Zhiqi ZHANG-.The Synergism between Methanogens and Methanotrophs and the Nature of their Contributions to the Seasonal Variation of Methane Fluxes in a Wetland:The Case of Dajiuhu Subalpine Peatland)[J].大气科学进展（英文版）,2022(08):1375-1385,后插1-后插7
A类：
Synergism,Methanogens,Methanotrophs,Dajiuhu,Peatland,pMENs,Methanoregula,formicica,Methanocella,arvoryzae,Methylocystaceae
B类：
between,Nature,their,Contributions,Seasonal,Variation,Methane,Fluxes,Wetland,Case,Subalpine,ecosystems,are,most,important,natural,methane,CH4,sources,whose,fluxes,periodically,fluctuate,producers,methanotrophs,consumers,considered,factors,affecting,wetlands,However,symbiotic,methanogens,remains,unclear,To,help,close,this,research,gap,collected,analyzed,samples,from,four,soil,depths,subalpine,peatland,January,April,July,October,acquired,seasonal,data,eddy,covariance,EC,investigated,relationships,phylogenetic,molecular,ecological,networks,analysis,was,used,identify,keystone,species,variations,occurrence,patterns,methanogenic,methanotrophic,communities,results,indicate,that,interactions,contributed,emissions,discerned,by,also,showed,importance,mediating,were,lowest,spring,during,complex,microbes,observed,intense,competition,among,while,demonstrated,better,cooperation,Reverse,manifested,themselves,summer,when,highest,negatively,correlated,occupied,largest,niches,In,contrast,both,positive,correlations,adapted,microbial,community,addition,temperature,nitrogen,regarded,significant,environmental,This,study,successful,explaining,driving,mechanisms
AB值：
0.517996
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