针对长江中上游鱼类资源领域研究,以主题"长江上游""长江中游""金沙江下游""鱼类资源""鱼类早期资源"为检索条件,筛选了2023年7月前中国知网及Web of Science 核心合集数据库收录的503篇文献,利用CiteSpace进行文献计量分析并绘制科学知识图谱,在此基础上从文献数量分布、研究机构及代表作者分布、研究主题内容、研究热点及演变趋势方面对长江中上游鱼类资源领域研究进行了综述.结果表明:中国科学院和中国水产科学研究院等是该领域的领军机构;从发展趋势上看,该领域已形成了鱼类资源现状及变化趋势、鱼类资源的影响机制以及鱼类资源的保护对策3个重要的研究热点和方向.后面需进一步完善江段鱼类资源的长期动态监测方法、梯级开发背景下鱼类资源的变动情况以及鱼类资源的协同保护方法等方面的研究.
Fishery Resources Research in the Middle and Upper Reaches of the Yangtze River based on Bibliometric Analysis
The study focuses on the field of fishery resources in the middle and upper reaches of the Yangtze River.By using the key words that include upper reaches of the Yangtze River,middle reaches of the Yangtze River,lower reaches of the Jinsha River,fishery resources,and early fishery resources as search terms,503 papers published before July 2023 were retrieved from CNKI and the Web of Science Core Collection.A bibliometric analysis was conducted by using CiteSpace,and a scientific knowledge map was generated.Based on this map,a review was made from the perspectives of the distribution of the number of publications,leading research institutions,representative authors,research topics,research hotspots and evolutionary trends in the field of fishery resources in the middle and upper reaches of the Yangtze River.The results indicate that institutions such as the Chinese Academy of Sciences and the Chinese Academy of Fishery Sciences are the leading organizations in this field.In terms of development trends,three significant research hotspots and directions have emerged,including the current status and changing trends of fishery resources,the impact mechanisms on fishery resources,and the conservation strategies for fishery resources.Further researches are urgently needed to improve long-term dynamic monitoring methods for fishery resources in different river sections,changes in fish-ery resources under the context of cascade development,and collaborative conservation methods for fishery resources.
middle and upper reaches of the Yangtze Riverfish resourcesbibliometric analysisscientific knowledge graph
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