运用文献计量工具CiteSpace对Web of Science(WoS)核心合集数据库收录1991—2021年发表的8985篇与工业碳排放相关的文献进行可视化分析,以期梳理该领域的研究趋势及进展,为国内工业碳排放后续研究提供前瞻性参考。结果表明:(1)自1991年...运用文献计量工具CiteSpace对Web of Science(WoS)核心合集数据库收录1991—2021年发表的8985篇与工业碳排放相关的文献进行可视化分析,以期梳理该领域的研究趋势及进展,为国内工业碳排放后续研究提供前瞻性参考。结果表明:(1)自1991年起,国际工业碳排放研究经历了萌芽、稳步提升、爆发增长三个阶段,该领域研究热度持续上升,近五年年度发文量的环比增速维持在6.01%—19.70%之间。在国际上,美国最早开始进行工业碳排放研究,我国发文量位居第一,但研究起步较晚,且我国与除澳大利亚外的国家合作较弱。(2)研究内容聚焦于“二氧化碳排放”、“大气二氧化碳”、“生态系统”、“能源消耗”等方面,“工业生态学”、“黑碳”、“可再生能源”、“城镇化”等关键词突现强度大,预计将成为该领域的研究前沿及趋势。(3)研究热点包括碳排放增长的驱动因素研究、碳排放与经济增长的脱钩效应研究、二氧化碳的捕集利用和封存等主题,体现了从理论研究到具体应用的演进过程。综上,国内学者应借鉴国际研究相关经验,在把握整体研究脉络的基础上,进一步深入挖掘研究重点、创新研究方法、加强国际交流合作,从工业碳排放角度为我国经济可持续发展提供理论依据。展开更多
Understanding the response of vegetation variation to climate change and human activities is critical for addressing future conflicts between humans and the environment,and maintaining ecosystem stability.Here,we aime...Understanding the response of vegetation variation to climate change and human activities is critical for addressing future conflicts between humans and the environment,and maintaining ecosystem stability.Here,we aimed to identify the determining factors of vegetation variation and explore the sensitivity of vegetation to temperature(SVT)and the sensitivity of vegetation to precipitation(SVP)in the Shiyang River Basin(SYRB)of China during 2001-2022.The climate data from climatic research unit(CRU),vegetation index data from Moderate Resolution Imaging Spectroradiometer(MODIS),and land use data from Landsat images were used to analyze the spatial-temporal changes in vegetation indices,climate,and land use in the SYRB and its sub-basins(i.e.,upstream,midstream,and downstream basins)during 2001-2022.Linear regression analysis and correlation analysis were used to explore the SVT and SVP,revealing the driving factors of vegetation variation.Significant increasing trends(P<0.05)were detected for the enhanced vegetation index(EVI)and normalized difference vegetation index(NDVI)in the SYRB during 2001-2022,with most regions(84%)experiencing significant variation in vegetation,and land use change was determined as the dominant factor of vegetation variation.Non-significant decreasing trends were detected in the SVT and SVP of the SYRB during 2001-2022.There were spatial differences in vegetation variation,SVT,and SVP.Although NDVI and EVI exhibited increasing trends in the upstream,midstream,and downstream basins,the change slope in the downstream basin was lower than those in the upstream and midstream basins,the SVT in the upstream basin was higher than those in the midstream and downstream basins,and the SVP in the downstream basin was lower than those in the upstream and midstream basins.Temperature and precipitation changes controlled vegetation variation in the upstream and midstream basins while human activities(land use change)dominated vegetation variation in the downstream basin.We concluded that there is a spatial heterogeneity in the response of vegetation variation to climate change and human activities across different sub-basins of the SYRB.These findings can enhance our understanding of the relationship among vegetation variation,climate change,and human activities,and provide a reference for addressing future conflicts between humans and the environment in the arid inland river basins.展开更多
文摘运用文献计量工具CiteSpace对Web of Science(WoS)核心合集数据库收录1991—2021年发表的8985篇与工业碳排放相关的文献进行可视化分析,以期梳理该领域的研究趋势及进展,为国内工业碳排放后续研究提供前瞻性参考。结果表明:(1)自1991年起,国际工业碳排放研究经历了萌芽、稳步提升、爆发增长三个阶段,该领域研究热度持续上升,近五年年度发文量的环比增速维持在6.01%—19.70%之间。在国际上,美国最早开始进行工业碳排放研究,我国发文量位居第一,但研究起步较晚,且我国与除澳大利亚外的国家合作较弱。(2)研究内容聚焦于“二氧化碳排放”、“大气二氧化碳”、“生态系统”、“能源消耗”等方面,“工业生态学”、“黑碳”、“可再生能源”、“城镇化”等关键词突现强度大,预计将成为该领域的研究前沿及趋势。(3)研究热点包括碳排放增长的驱动因素研究、碳排放与经济增长的脱钩效应研究、二氧化碳的捕集利用和封存等主题,体现了从理论研究到具体应用的演进过程。综上,国内学者应借鉴国际研究相关经验,在把握整体研究脉络的基础上,进一步深入挖掘研究重点、创新研究方法、加强国际交流合作,从工业碳排放角度为我国经济可持续发展提供理论依据。
基金National Natural Science Foundation of China(42230720).
文摘Understanding the response of vegetation variation to climate change and human activities is critical for addressing future conflicts between humans and the environment,and maintaining ecosystem stability.Here,we aimed to identify the determining factors of vegetation variation and explore the sensitivity of vegetation to temperature(SVT)and the sensitivity of vegetation to precipitation(SVP)in the Shiyang River Basin(SYRB)of China during 2001-2022.The climate data from climatic research unit(CRU),vegetation index data from Moderate Resolution Imaging Spectroradiometer(MODIS),and land use data from Landsat images were used to analyze the spatial-temporal changes in vegetation indices,climate,and land use in the SYRB and its sub-basins(i.e.,upstream,midstream,and downstream basins)during 2001-2022.Linear regression analysis and correlation analysis were used to explore the SVT and SVP,revealing the driving factors of vegetation variation.Significant increasing trends(P<0.05)were detected for the enhanced vegetation index(EVI)and normalized difference vegetation index(NDVI)in the SYRB during 2001-2022,with most regions(84%)experiencing significant variation in vegetation,and land use change was determined as the dominant factor of vegetation variation.Non-significant decreasing trends were detected in the SVT and SVP of the SYRB during 2001-2022.There were spatial differences in vegetation variation,SVT,and SVP.Although NDVI and EVI exhibited increasing trends in the upstream,midstream,and downstream basins,the change slope in the downstream basin was lower than those in the upstream and midstream basins,the SVT in the upstream basin was higher than those in the midstream and downstream basins,and the SVP in the downstream basin was lower than those in the upstream and midstream basins.Temperature and precipitation changes controlled vegetation variation in the upstream and midstream basins while human activities(land use change)dominated vegetation variation in the downstream basin.We concluded that there is a spatial heterogeneity in the response of vegetation variation to climate change and human activities across different sub-basins of the SYRB.These findings can enhance our understanding of the relationship among vegetation variation,climate change,and human activities,and provide a reference for addressing future conflicts between humans and the environment in the arid inland river basins.
