生物多样性 ›› 2018, Vol. 26 ›› Issue (12): 1255-1267.DOI: 10.17520/biods.2018265

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中国森林生物多样性监测网络(CForBio)的研究态势与热点: 基于文献计量分析

付瑞玉1,2,3, 苏宏新1, 张忠华1,2, 胡刚1,2,*()   

  1. 1 南宁师范大学北部湾环境演变与资源利用教育部重点实验室, 南宁 530001
    2 南宁师范大学广西西江流域生态环境与一体化发展协同创新中心, 南宁 530001
    3 南宁师范大学地理科学与规划学院, 南宁 530001
  • 收稿日期:2018-10-05 接受日期:2018-11-20 出版日期:2018-12-20 发布日期:2019-02-11
  • 通讯作者: 胡刚
  • 作者简介:# 共同第一作者
  • 基金资助:
    国家自然科学基金(31560132, 31760128)、广西科技重大专项(桂科AA17204087-9)和广西自然科学基金(2015GXNSFAA139086, 2017GXNSFDA198003)

Research trends and hotspots of Chinese Forest Biodiversity Monitoring Network (CForBio): A bibliometric analysis

Ruiyu Fu1,2,3, Hongxin Su1, Zhonghua Zhang1,2, Gang Hu1,2,*()   

  1. 1 Key Laboratory of Beibu Gulf Environment Change and Resources Utilization of Ministry of Education, Nanning Normal University, Nanning 530001
    2 The Collaborative Innovation Center of the Ecological Environment and Integration Development in the Xijiang River Basin, Nanning Normal University, Nanning 530001
    3 School of Geography and Planning, Nanning Normal University, Nanning 530001
  • Received:2018-10-05 Accepted:2018-11-20 Online:2018-12-20 Published:2019-02-11
  • Contact: Hu Gang
  • About author:# Co-first authors

摘要:

中国森林生物多样性监测网络(CForBio)作为我国生物多样性科学综合研究平台, 其发展过程和研究成果对促进我国生物多样性研究具有重要意义, 掌握其研究态势与热点变化可为CForBio的长远发展以及其他生态监测研究提供参考。本文对2007-2017年间CNKI数据库和Web of Science核心合集数据库中CForBio发表的论文进行了较为全面的文献计量分析。结果表明: 2007年以来, CForBio发表论文的数量整体上呈快速上升趋势, 从2007年的3篇增长到2017年的55篇, 其中SCI收录论文的增长较为明显(从2007年的1篇增长到2017年的34篇)。金光泽(70篇)、马克平(68篇)、郝占庆(68篇)等学者发表论文数量较多, 中国科学院的植物研究所(104篇)、沈阳应用生态研究所(67篇)、华南植物园(59篇)等是CForBio中相对活跃的研究机构, 但各样地负责机构和学者间的合作仍较少, 跨机构间的协同研究还有待提高。CForBio的研究热点主要体现在树木空间分布格局、植物功能性状、树木密度制约、群落系统发育等方面, 为揭示我国不同气候带森林群落构建机制提供了大量的理论依据。未来CForBio的研究应加强国内外机构间的合作创新并建立数据共享途径, 注重近地面遥感、多源数据融合等新技术的应用, 在生物多样性格局的多尺度与多维度解析、植物-土壤反馈机制、树木冠层和根系的结构与功能等方向持续开展深入研究。

关键词: 中国森林生物多样性监测网络, 研究态势, 文献计量分析, Web of Science, 中国知网

Abstract

The research achievements of the Chinese Forest Biodiversity Monitoring Network (CForBio), a comprehensive research platform for biodiversity science, are highly influential for promoting biodiversity-related research in China. A detailed assessment of CForBio’s publication growth, core research areas, and ability to foster cooperation will provide important information for the long-term development of CForBio and related ecological monitoring research. In order to understand CForBio’s impact on science, this study made a comprehensive bibliometric analysis of research papers produced by CForBio-associated scientists, published between 2007 and 2017, using the China National Knowledge Infrastructure and Web of Science databases. Since 2007, the number of papers published by CForBio has grown rapidly, from 3 in 2007 to 55 in 2017 , as has the number of papers published in journals included in the Science Citation Index (from 1 in 2007 to 34 in 2017). The top three most prolific authors are Guangze Jin (70 papers), Keping Ma (68 papers), and Zhanqing Hao (68 papers). The most active research institutions are the Institute of Botany, Chinese Academy of Sciences (CAS) (104 papers), the Institute of Applied Ecology of CAS (67 papers), and the South China Botanical Garden of CAS (59 papers). CForBio-associated institutions and scholars cooperate infrequently, and cross-unit collaborative research needs improvement. The core research topics of CForBio focus on patterns of tree spatial distribution, plant functional traits, tree density dependence, and community phylogeny; these topics provide a theoretical basis for elucidating the mechanisms of forest community assembly among the different climatic zones in China. In the future, CForBio should strengthen cooperation among institutions—both domestic and abroad, establish data sharing pathways, further emphasize new technologies and techniques such as near-surface remote sensing and multi-source data fusion, and continue to fund research on the multi-scale and multi-dimensional analysis of biodiversity patterns, plant-soil feedback mechanisms, and tree canopy and root structure function.

Key words: Chinese Forest Biodiversity Monitoring Network (CForBio), research trends, bibliometric analysis, Web of Science, China National Knowledge Infrastructure (CNKI)