Biodiv Sci ›› 2019, Vol. 27 ›› Issue (7): 716-727.DOI: 10.17520/biods.2019130

• Special Feature: Traditional Knowledge Associated with Biodiversity • Previous Articles     Next Articles

Visual analysis of hotspots and emerging trends in traditional knowledge associated with biodiversity

Ding Lubin1,2,Ma Nan1,2,Wang Guoping1,2,He Siyuan1,*(),Min Qingwen1,2,*()   

  1. 1 Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101
    2 University of Chinese Academy of Sciences, Beijing 100049
  • Received:2019-04-12 Accepted:2019-05-31 Online:2019-07-20 Published:2019-08-21
  • Contact: He Siyuan,Min Qingwen

Abstract:

Research on traditional knowledge has become increasingly more popular for biodiversity conservation research, as it has a great impact on a wide range of fields such as biological resource management, ecosystem services, community sustainable development and more. In order to understand how research on traditional knowledge is changing, this paper uses Web of Science (WoS) and applies WoS’s statistical analysis function and visualization analysis software CiteSpace III to search for key co-occurrence analysis, emergent word analysis, literature co-citation analysis, and other methods to understand research hotspots and evolution of traditional knowledge research systematically. The number of research papers on traditional knowledge research is increasing yearly. Research institutions such as the Chinese Academy of Sciences, the Universidad Nacional Autónoma de México, the Indian Council for Agricultural Research and the University of California system have shown strong scientific research strength; Africa, Brazil, Bolivia and India are hotspots for traditional knowledge research. We found that Albuquerque UP, Singh R and Xue DY have published a substantial quantity of academic papers in this field. Additionally, papers published by Berkes F, Drew JA, Gómez-Baggethun E and other scholars have laid a solid foundation for this field and the promotion of related research. Studies on traditional knowledge related to biological resource management, biodiversity conservation, ecosystem services, and policy management represent important directions in this field in the future.

Key words: traditional knowledge, biodiversity, CiteSpace, hotspots, visual analysis