Methane is one of the major greenhouse gases(GHGs)and agriculture is recognized as its primary emitter.Methane accounting is a prerequisite for developing effective agriculture mitigation strategies.In this review,met...Methane is one of the major greenhouse gases(GHGs)and agriculture is recognized as its primary emitter.Methane accounting is a prerequisite for developing effective agriculture mitigation strategies.In this review,methane accounting methods and research status for various agricultural emission source including rice fields,animal enteric fermentation and livestock and poultry manure management were overview,and the influencing factors of each emission source were analyzed and discussed.At the same time,it analyzes the different research efforts involving agricultural methane accounting and makes recommendations based on the actual situation.Finally,mitigation strategies based on accounting results and actual situation are proposed.This review aims to provide basic data and reference for agriculture-oriented countries and regions to actively participate in climate action and carry out effective methane emission mitigation.展开更多
Computational communication delves into the analysis of digital data,social media interactions,and algorithms that shape communication processes,yet few studies focus on the framework and internal structure of the met...Computational communication delves into the analysis of digital data,social media interactions,and algorithms that shape communication processes,yet few studies focus on the framework and internal structure of the methodological framework related to adaptive topics.This study employs text mining techniques to analyze 9795 publications from international scientific citation databases,and outlines a classification framework to describe the methods used in empirical research.The framework highlights traditional quantitative methods and new computational methods.The former conduct statistical analysis on medium-sized and structured samples,while the latter provides microscopic outlooks with extensive data analysis.Experimental results show the thematic distribution,evolution phases,and subject boundaries of the method categories.This study expands the scope of social computing methodology and provides a wealth of empirical insights.展开更多
基金supported partly by the National Key R&D Program of China(No.2022YFE029500)the National Natural Science Foundation of China(No.51637005)+1 种基金the S&T Program of Hebei(No.G2020502001)the Information Plan of Chinese Academy of Sciences(No.CAS-WX 2023PY-0103)。
文摘Methane is one of the major greenhouse gases(GHGs)and agriculture is recognized as its primary emitter.Methane accounting is a prerequisite for developing effective agriculture mitigation strategies.In this review,methane accounting methods and research status for various agricultural emission source including rice fields,animal enteric fermentation and livestock and poultry manure management were overview,and the influencing factors of each emission source were analyzed and discussed.At the same time,it analyzes the different research efforts involving agricultural methane accounting and makes recommendations based on the actual situation.Finally,mitigation strategies based on accounting results and actual situation are proposed.This review aims to provide basic data and reference for agriculture-oriented countries and regions to actively participate in climate action and carry out effective methane emission mitigation.
基金supported by the National Social Science Foundation of China(No.23&ZD215)National Natural Science Foundation of China(No.62206112)Key Laboratory of Smart Education of Guangdong Higher Education Institutes,Jinan University(No.2022LSYS003).
文摘Computational communication delves into the analysis of digital data,social media interactions,and algorithms that shape communication processes,yet few studies focus on the framework and internal structure of the methodological framework related to adaptive topics.This study employs text mining techniques to analyze 9795 publications from international scientific citation databases,and outlines a classification framework to describe the methods used in empirical research.The framework highlights traditional quantitative methods and new computational methods.The former conduct statistical analysis on medium-sized and structured samples,while the latter provides microscopic outlooks with extensive data analysis.Experimental results show the thematic distribution,evolution phases,and subject boundaries of the method categories.This study expands the scope of social computing methodology and provides a wealth of empirical insights.
