Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.11861/10542
Title: | Analyzing the worldwide wetland parks research: A spectral-cluster algorithm latent semantic index approach |
Authors: | Zeng, Liyun Prof. LI Yi Man, Rita Zeng, Huiling |
Issue Date: | 2024 |
Source: | Buildings, 2024, vol. 14(5), article no. 1315. |
Journal: | Buildings |
Abstract: | This study reviews worldwide wetland park research from 1996 to 2022. A bibliometric analysis is conducted on 591 wetland park studies indexed in the Web of Science and Scopus databases. The study utilizes CiteSpace and VOSviewer tools to visualize and explore influential research focuses, themes, directions, and countries. The citation burst indicates that from 1996 to 2022, research on wetland parks transited from exploring basic community structures to complex ecosystem service assessments and the formulation of management strategies. Furthermore, over the past three years, wetland park research has seen a significant surge in studies investigating water quality, ecosystem services, and spatiotemporal analysis. Notably, the three most frequent keywords in research on wetland parks were China, South Africa, and biodiversity. These keywords reflect regions that enhance biodiversity via wetland parks. The spectral-clustering algorithm identifies carbon sequestration as a research focus, highlighting the vital role of wetlands in the carbon cycle. Most authors work in developed countries’ institutions, but some are from developing countries like China, South Africa, and India. The findings suggest that economic development is crucial in wetland park construction and significantly influences related research. Developed countries may offer more PhD positions to developing countries’ researchers in the field and raise their awareness about wetland conservation. Given the holistic requirements of wetlands, this research recommends that educators should adopt an interdisciplinary approach in the future when nurturing wetland staff. Additionally, the study maps out the primary areas of interest in wetland park research, including environmental science, ecological economics, forestry, wetlands, tourism, and management. New artificial intelligence and digital technologies should be developed for wetland park research. This study fills a research gap: quantitative and visualized knowledge-mapping and bibliometrics on wetland parks are scarce. Additionally, no previous study has explored the relationship between wetland park research and the economic development of countries. |
Type: | Peer Reviewed Journal Article |
URI: | http://hdl.handle.net/20.500.11861/10542 |
ISSN: | 2075-5309 |
DOI: | 10.3390/buildings14051315 |
Appears in Collections: | Economics and Finance - Publication |
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