Welcome to Chinese Agricultural Science Bulletin,

Chinese Agricultural Science Bulletin ›› 2023, Vol. 39 ›› Issue (18): 158-164.doi: 10.11924/j.issn.1000-6850.casb2022-0592

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Visual Analysis of Soil Fauna Research Hotspots

FU Xiaoyu(), WEI Dan, WU Yining, GUO Yuan, ZHANG Rongtao()   

  1. Institute of Nature and Ecology, Heilongjiang Academy of Sciences, Harbin 150040
  • Received:2022-07-10 Revised:2022-10-13 Online:2023-06-25 Published:2023-06-25

Abstract:

Soil fauna are an indispensable part of the soil ecosystem and play an important role in the material cycle and energy flow in the soil ecosystem. To provide relevant information such as the current research status and hotspots in this field for the future related research on soil fauna, based on CNKI database from 1980 to 2021, we used the retrieve title of “Soil Fauna”, sorted out the annual number of published papers, institutions, journals, etc., predicted the research hotpots and conducted visual analysis by using the analytical tools of Ucinet and Netdraw. The results showed that the number of academic papers published in this field was gradually increasing in China; the top 2 institutions with most published papers were School of Geographical Sciences of Northeast Normal University and South China Karst Research Institute of Guizhou Normal University in China. The main journals in this research field were Acta Ecologica Sinica and Chinese Journal of Ecology. At present, the research mainly focused on community structure and diversity, community characteristics and litter deposition, and Yin Xiuqin was the scholar with the largest number of published papers. The research hotspots in this field were mostly concentrated in agricultural basic science, agronomy, and forestry; and the National Natural Science Foundation of China was the most funded project on relevant research. With the further in-depth work of domestic scholars, the research on soil fauna has achieved rapid development and high-quality results.

Key words: soil fauna, bibliometrics, hotspot, visual analysis, research trend