中国农业气象 ›› 2023, Vol. 44 ›› Issue (02): 106-122.doi: 10.3969/j.issn.1000-6362.2023.02.003

• 农业生物气象栏目 • 上一篇    下一篇

日光诱导叶绿素荧光研究及应用的文献计量分析

闫雨杏,吕肖良,王亚凯,于强   

  1. 1.西北农林科技大学资源环境学院,杨凌 712100;2.西北农林科技大学黄土高原土壤侵蚀与旱作农业国家重点实验室,杨凌 712100
  • 收稿日期:2022-03-10 出版日期:2023-02-20 发布日期:2023-01-16
  • 通讯作者: 于强,教授,主要从事生态系统模型研究,涉及气候变化对农业影响、陆面过程与生态系统碳氮循环、水资源管理和粮食安全。 E-mail:yuq@nwafu.edu.cn
  • 作者简介:闫雨杏,E-mail: bjyanyuxing@163.com
  • 基金资助:
    国家自然科学基金项目“作物日光诱导叶绿素荧光与光合作用对环境胁迫的协同响应及多尺度关联机制估算”(42071328)

Bibliometric Analysis of Research and Application of Solar-Induced Chlorophyll Fluorescence

YAN Yu-xing, LV Xiao-liang , WANG Ya-kai, YU Qiang   

  1. 1. College of Natural Resources and Environment, Northwest A & F University, Yangling 712100, China;2. State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A & F University, Yangling 712100
  • Received:2022-03-10 Online:2023-02-20 Published:2023-01-16

摘要: 日光诱导叶绿素荧光SIF(solar-induced chlorophyll fluorescence)作为直接监测植被光合作用的理想“探针”,能对植物的生理状态作出快速、灵敏的响应,是近年来植被遥感领域的研究热点。为了系统梳理SIF研究的发展脉络,本研究以Scopus数据库中1982-2021年的786篇相关文献作为数据源,结合VOSviewer软件,从国家、机构、作者、期刊和关键词等角度分别进行文献计量分析和可视化计量分析。结果表明,SIF领域年发文量整体呈增长趋势,现已进入快速发展阶段;发文量排名前3的国家分别为美国、中国和德国,其中德国拥有最高的篇均被引次数(56.2次)和最多的合作国家数(36个);南京大学、加州理工学院、瓦伦西亚大学等机构有着较高的发文量和H指数,为该领域的发展做出了突出贡献;Guanter、Zhang、Frankenberg、Liu、Rascher等国内外学者致力于该领域的研究,发表论文数均在40篇以上;期刊Remote Sensing of Environment在该领域中拥有最高发文量(92)和最高的H指数(40),Global Change Biology拥有最高的篇均被引数(65.6次)。关键词反映出这一研究方向属于地球科学、生态学、农学、植物生理学等多学科的交叉领域,涵盖了叶片、冠层乃至区域等空间尺度;当前研究主要集中在叶绿素荧光的生理特性及胁迫监测、SIF信号的获取方式和SIF遥感应用(如碳循环)等三个方面。中国在该领域的整体研究实力走在世界前列,未来仍需进一步提高研究影响力。

关键词: 日光诱导叶绿素荧光, 植被遥感, 文献计量分析, VOSviewer

Abstract: As an ideal ‘indicator’ for directly monitoring plant photosynthesis, solar-induced chlorophyll fluorescence(SIF) has a rapid response to variations in plant physiological status. SIF is becoming one of the most active research direction in vegetation remote sensing. This study conducted a systematic literature review on topics of relevance to SIF. To do so, there are 786 SIF-related papers published during 1982−2021 were collected from the Scopus database. Based on VOSviewer, the visual bibliometric analysis was applied to analyze these papers from the perspective of country, institution, author, journal and keyword. The results show that the number of SIF articles published per year is rising rapidly. Among all the countries, United States, China and Germany published 285, 263, and 166, making them the top three countries that have the most SIF papers during the study period. Germany has the highest citations per publication (56.2) and the largest number of cooperative countries(36). Nanjing University, California Institute of Technology, and University of Valencia have made outstanding contributions to the development of this field as they have not only the large number of publications but also the high h-indices Among the scholars in this area, Guanter L(Polytechnic University of Valencia), Zhang Y(Nanjing University), Frankenberg C(California Institute of Technology), Liu L(Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences), and Rascher U(Jülich Research Centre), are currently the most productive, having published more than 40 papers. The Journal Remote Sensing of Environment has the highest number of SIF articles (92) and the highest H-index (40), and Global Change Biology has the highest citations per publication (65.6) in this field. The keyword analysis shows that SIF is a highly multidisciplinary area mainly involving geoscience, ecology, agronomy, plant physiology across a range of spatial and temporal scales. Currently, the most active research topics are the monitor of plant physiological status and stress condition, the acquisition methods of SIF measurements, and the applications of SIF in remote sensing such as terrestrial carbon cycle. China leads the world of overall research focus in this field, which, however, still should have a further improvement of its influence.

Key words: Solar-induced chlorophyll fluorescence, Vegetation remote sensing, Bibliometric analysis, VOSviewer