韩琭, 宋子言, 张敏, 等. 基于CiteSpace的中国土地生态安全可视化分析[J]. 云南农业大学学报(社会科学), 2022, 16(1): 141−149. doi: 10.12371/j.ynau(s).202103082
引用本文: 韩琭, 宋子言, 张敏, 等. 基于CiteSpace的中国土地生态安全可视化分析[J]. 云南农业大学学报(社会科学), 2022, 16(1): 141−149. doi: 10.12371/j.ynau(s).202103082
HAN Lu, SONG Ziyan, ZHANG Min, DING Lijun. Visual Analysis of China’ s Land Ecological Security Based on CiteSpace[J]. Journal of Yunnan Agricultural University (Social Science), 2022, 16(1): 141-149. DOI: 10.12371/j.ynau(s).202103082
Citation: HAN Lu, SONG Ziyan, ZHANG Min, DING Lijun. Visual Analysis of China’ s Land Ecological Security Based on CiteSpace[J]. Journal of Yunnan Agricultural University (Social Science), 2022, 16(1): 141-149. DOI: 10.12371/j.ynau(s).202103082

基于CiteSpace的中国土地生态安全可视化分析

Visual Analysis of China’ s Land Ecological Security Based on CiteSpace

  • 摘要: 基于2001—2020年CNKI数据库中以土地生态安全为关键词的相关文献,通过CiteSpace软件分别从“研究阶段”“作者”“发文机构”“关键词”“研究前沿”方面对中国的土地生态安全进行分析。结果显示:我国的土地生态安全研究经历了初期探索阶段、快速发展阶段和拓展深化阶段;研究人员之间的合作呈现出整体分散,小聚集形式的特征,区域间的土地生态安全研究不平衡。关键词出现频次最多的是“土地生态安全”,其次为“生态安全”“评价”“土地生态”“PSR模型”。目前对于土地生态安全的研究仍以土地生态安全评价为主,未来应引入更多模型来深化预警预测、人地协调以及城市生态改善方面的研究。

     

    Abstract: Based on the relevant research with land ecological security as the keyword in CNKI database from 2001 to 2020, this paper analyzes China’ s land ecological security from the aspects of “research stage” “author” “publishing institution” “keywords” and “research frontier” through CiteSpace software. The results showed that the research of land ecological security in China has experienced the initial exploration stage, rapid development stage and deepening stage. The cooperation among researchers showed the characteristics of overall dispersion and small aggregation, and the research of land ecological security among regions is unbalanced. The most frequent keywords are “land ecological security” , followed by “ecological security” “evaluation” “land ecology” and “PSR model” . At present, the research of the land ecological security is still mainly based on the evaluation of land ecological security. In the future, more models should be introduced to deepen the research on early warning and predicting, human-land coordination and urban ecological improvement.

     

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