Zhao Yihan, Zhang Yun, Guo Jishu, Wang Jun, Li Yanling
Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Sciences, Yunnan University, Kunming, 650500, China.
College of Life Sciences, Hubei Normal University, Huangshi, 435002, China.
Environ Sci Pollut Res Int. 2023 Jan;30(3):5281-5295. doi: 10.1007/s11356-022-24251-7. Epub 2022 Nov 19.
It has been well documented that periphyton communities play a key role in primary productivity, nutrient cycling, and food web interactions. However, a worldwide overview of research on the key themes, current situation, and major trends within the field is lacking. In this study, we applied the machine learning technique (latent Dirichlet allocation, LDA) to analyze the abstracts of 6690 publications related to periphyton from 1991 to 2020 based on the Web of Science database. The relative frequency of classical and basic research on periphyton related to colonization, biomass, growth rate, and habitats has been clearly decreasing. The increasing trends of research on periphyton are embodied in the periphyton function in freshwater ecosystems (e.g., application as ecological indicators, function in the removal of nutrients, and application in paleolimnology), the research at macroscales (e.g., spatial-temporal variation, and functional and taxonomic diversity), and the anthropogenic themes (e.g., climate warming, response to multiple stressors, and land use type). The keyword and title analysis showed that the periphyton studies are concentrated mainly on diatom aspects, especially with respect to streams relative to lakes. The thematic space based on non-metric multidimensional scaling (NMDS) showed that the classical themes such as growth rate, colonization, and environmental factors (e.g., multiple stressors and climate warming) were most linked to other research themes. We proposed that future trends in the periphyton should focus on the function of periphyton in lakes and their response to multiple environmental pressures with the increasingly extensive eutrophication in lakes and the increasingly significant change in the climate.
有充分的文献记载,附生植物群落在初级生产力、养分循环和食物网相互作用中发挥着关键作用。然而,目前缺乏对该领域关键主题、现状和主要趋势的全球综述。在本研究中,我们应用机器学习技术(潜在狄利克雷分配,LDA),基于科学网数据库分析了1991年至2020年期间6690篇与附生植物相关的出版物的摘要。与附生植物定殖、生物量、生长速率和栖息地相关的经典基础研究的相对频率明显下降。附生植物研究的增长趋势体现在淡水生态系统中的附生植物功能(如作为生态指标的应用、养分去除功能和古湖沼学中的应用)、宏观尺度研究(如时空变化、功能和分类多样性)以及人为主题(如气候变暖、对多种压力源的响应和土地利用类型)。关键词和标题分析表明,附生植物研究主要集中在硅藻方面,特别是相对于湖泊而言在溪流方面。基于非度量多维尺度分析(NMDS)的主题空间表明,生长速率、定殖和环境因素(如多种压力源和气候变暖)等经典主题与其他研究主题联系最为紧密。我们提出,随着湖泊富营养化日益广泛以及气候日益显著变化,未来附生植物的研究趋势应聚焦于其在湖泊中的功能及其对多种环境压力的响应。