Advancements and trends in ecological models for lake ecosystems: A bibliometric analysis (2002–2022)

IF 2.5 3区 环境科学与生态学 Q2 ECOLOGY
Ecohydrology Pub Date : 2024-05-21 DOI:10.1002/eco.2655
Wei Li, Jianjian Wang, Cheng Chen, Jiang Xia, Yong Niu, Zhiguo Yu, Shan Qu, Junjie Jia
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引用次数: 0

Abstract

Ecological models hold significant potential for advancing lake research. In this study, we employed CiteSpace, a bibliometric analysis tool, and VOSviewer, a visualisation software, to facilitate a comprehensive understanding of recent advancements in ecological modelling within the context of lake research. The objective was to furnish valuable references in support of the widespread application of ecological models in aquatic environments. Using the 4688 articles collected in the Web of Science (WoS) core database as the sample data source, conducting corresponding data mining and quantitative analysis through visualisation analysis software such as CiteSpace and VOSviewer. From the perspectives of literature output patterns, keyword co-occurrence networks and future research directions, in-depth quantitative and visual analysis is carried out on the current status of research on lake ecological models, research institutions, journal publication situations, prolific authors and research hot topics. Through meticulous examination of literature and organisational categorisation techniques, we systematically scrutinised and synthesised the present state, limitations and noteworthy considerations associated with models such as EFDC, CE-QUAL-W2, DYRESM-CAEDYM, AQUATOX, Vollenweider, PCLake, MIKE, WASP and Deflt3D in the context of lake research. Our findings reveal that research focal points from 2002 to 2022 encompass climate change, the ramifications of eutrophication on aquatic ecosystems and the effects of phytoplankton and resuspended sediments on lake management.

湖泊生态系统生态模型的进展与趋势:文献计量分析(2002-2022 年)
生态模型在推动湖泊研究方面具有巨大潜力。在这项研究中,我们采用了文献计量分析工具 CiteSpace 和可视化软件 VOSviewer,以促进全面了解湖泊研究中生态模型的最新进展。目的是提供有价值的参考文献,以支持生态模型在水生环境中的广泛应用。以科学网(WoS)核心数据库收录的 4688 篇文章为样本数据源,通过 CiteSpace 和 VOSviewer 等可视化分析软件进行相应的数据挖掘和定量分析。从文献产出模式、关键词共现网络和未来研究方向等角度,对湖泊生态模型的研究现状、研究机构、期刊发表情况、多产作者和研究热点等进行了深入的定量和可视化分析。通过细致的文献检索和组织分类技术,我们系统地梳理和归纳了湖泊研究中 EFDC、CE-QUAL-W2、DYRESM-CAEDYM、AQUATOX、Vollenweider、PCLake、MIKE、WASP 和 Deflt3D 等模型的研究现状、局限性和值得注意的问题。我们的研究结果表明,从 2002 年到 2022 年的研究重点包括气候变化、富营养化对水生生态系统的影响以及浮游植物和再悬浮沉积物对湖泊管理的影响。
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来源期刊
Ecohydrology
Ecohydrology 环境科学-生态学
CiteScore
5.10
自引率
7.70%
发文量
116
审稿时长
24 months
期刊介绍: Ecohydrology is an international journal publishing original scientific and review papers that aim to improve understanding of processes at the interface between ecology and hydrology and associated applications related to environmental management. Ecohydrology seeks to increase interdisciplinary insights by placing particular emphasis on interactions and associated feedbacks in both space and time between ecological systems and the hydrological cycle. Research contributions are solicited from disciplines focusing on the physical, ecological, biological, biogeochemical, geomorphological, drainage basin, mathematical and methodological aspects of ecohydrology. Research in both terrestrial and aquatic systems is of interest provided it explicitly links ecological systems and the hydrologic cycle; research such as aquatic ecological, channel engineering, or ecological or hydrological modelling is less appropriate for the journal unless it specifically addresses the criteria above. Manuscripts describing individual case studies are of interest in cases where broader insights are discussed beyond site- and species-specific results.
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