Analyzing the Worldwide Wetland Parks Research: A Spectral-Cluster Algorithm Latent Semantic Index Approach
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Published:2024-05-07
Issue:5
Volume:14
Page:1315
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ISSN:2075-5309
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Container-title:Buildings
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language:en
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Short-container-title:Buildings
Author:
Zeng Liyun1ORCID, Li Rita Yi Man2ORCID, Zeng Huiling3
Affiliation:
1. Civil and Architectural Engineering Institute, Panzhihua University, Panzhihua 617000, China 2. Sustainable Real Estate Research Center, Hong Kong Shue Yan University, Hong Kong 999077, China 3. Chakrabongse Bhuvanarth International Institute for Interdisciplinary Studies (CBIS), Rajamangala University of Technology Tawan-Ok, Chonburi 10400, Thailand
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.
Funder
Panzhihua City’s Municipal Guiding Science and Technology Program Project in 2021 Panzhihua City’s Municipal Guiding Science and Technology Program Project in 2023 Panzhihua Gangcheng Group Co., Ltd. & Panzhihua University’s Scientific Research Collaborative Innovation Platform Technology Research and Development Project
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