地球科学进展 ›› 2019, Vol. 34 ›› Issue (7): 765 -777. doi: 10.11867/j.issn.1001-8166.2019.07.0765

研究简报 上一篇    

基于文献计量学的社会—生态系统恢复力研究进展
刘小茜 1, 2( ),裴韬 2( ),舒华 2,高锡章 2   
  1. 1. 北京联合大学应用文理学院城市科学系,北京 100191
    2. 中国科学院地理科学与资源研究所资源与 环境信息系统国家重点实验室,北京 100101
  • 收稿日期:2019-03-26 修回日期:2019-05-27 出版日期:2019-07-10
  • 通讯作者: 裴韬 E-mail:liuxq@lreis.ac.cn;peit@lreis.ac.cn
  • 基金资助:
    国家自然科学基金项目“特大城市群地区城镇化与生态环境交互耦合决策支持系统研发”(41590845);对策优化模型”(41877523)

A Bibliometric Investigation of Research on Social-Ecological System Resilience

Xiaoqian Liu 1, 2( ),Tao Pei 2( ),Hua Shu 2,Xizhang Gao 2   

  1. 1. College of Arts and Science of Beijing Union University, Beijing 100191, China
    2. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
  • Received:2019-03-26 Revised:2019-05-27 Online:2019-07-10 Published:2019-07-29
  • Contact: Tao Pei E-mail:liuxq@lreis.ac.cn;peit@lreis.ac.cn
  • About author:Liu Xiaoqian(1984-), female, Chifeng City, Inner Mongolia Autonomous Region, Lecturer. Research areas include system dynamic modeling and landscape ecology. E-mail: liuxq@lreis.ac.cn
  • Supported by:
    ect supported by the National Natural Science Foundation of China “Decision support system of interactive coupled effects between urbanization and eco-environment in mega-urban agglomerations” (No.41590845) and “Research of regulation framework and optimization strategy for integrated risk management based on the system resilience perspective”(41877523)

采用文献计量学方法,运用CiteSpace和TDA等引文分析及可视化工具,对国内外“社会—生态系统恢复力”相关研究论文进行分析。构建检索式,得到1900—2017年WOS(Web of Science)期刊论文共10 315篇,对研究态势及热点进行梳理和分析。结果发现,系统恢复力研究可归纳为5个基本理论问题,即内涵、变化诱因、空间尺度、研究对象及响应措施。自1973年提出,该理论发展了近45年,借助知识图谱分析发现,形成了三大研究主题领域:内涵与理论、诱因与方法、适应与管理。分析研究热点时序演化发现,近20年来,以气候变化为诱因、以生态系统为对象的研究形成了最为完备的理论和方法体系;近10年来,社区和城市尺度的研究发展迅速成为热点;近5年来,社会学习和知识传播等适应对策得到关注。深化对同质社会经济单元的研究,开展案例研究与实地观测、实验和建模方法的融合是未来研究的重点。

The notion of Resilience of Social-Ecological Systems (ReSES) in balancing and sustaining development are increasingly breeding more multidisciplinary attentions from world scientists and government managers. However, with the tremendous growing in theoretical system, certain problems hinder the integration of theory and practice, such as the low degree of research recognition, lacking of unified paradigm, unevenly development of research topics, etc. Thus, it is an urgent need to sort out the construction, source and development in theory, and its gaps with practices. To identify the hotspot in current research, including the fundamental theories and methods, current focus and future trends, a bibliometric analysis integrating Citespace and TDA tools were made. Using searching queries on “system resilience”, 10 315 articles in Web of Science database were retrieved. Then, a series of contents were examined on these publications, including: topics division on co-occurrence network of keywords; journal and co-citation analysis of highly cited papers; trends by keyword burst analysis; changing of high-frequency categories and keywords. Several findings were achieved through scientometric analysis. Firstly, research on system resilience were summarized into five basic theoretical issues, namely, research objects, changes incentives, spatial and temporal scale, and adaptive measures. Secondly, by analyzing the knowledge atlas, it is found that the theory has developed for nearly 45 years since 1973. In the past 20 years, ecosystem resilience driven by climate changes has been one of the earliest and consistent research topics, and formed a well-developed theoretical framework. Over the past ten years, research on the system resilience on community and urban scale has rapidly become a hot topic. In the past five years, adaptation strategies such as social learning and knowledge dissemination have attracted increasing attentions. Overall, improving system simulation and scenario based adaptive management analysis can build the bridge of theoretical research and adaptive management practice.

中图分类号: 

图1 分时段高频英文关键词时序变化图(19912015年)
Fig.1 Changes of top fifteen high frequency keyword every five years in 1991-2015
图2 热点主题关键词时序变化对比图
Fig.2 Comparative diagram of prominent keywords groups in SCI articles
图 3 具有爆发性出现特征的热点关键词
Fig. 3 Burst detection of keywords
图 4 不同时空框架下的ReSES研究关键词分类图
Fig 4 Keywords map of research on ReSES at different spatial and temporal scales
图 5 SCI期刊论文中关键词共现关系图
Fig. 5 Co-occurrence network of keywords in SCI articles
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