Knowledge Mapping Analysis of the Study of Rural Landscape Ecosystem Services
Author(s): |
Yinyi Wang
Yaping Zhang Guofu Yang Xiaomeng Cheng Jing Wang Bin Xu |
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Medium: | journal article |
Language(s): | English |
Published in: | Buildings, 20 September 2022, n. 10, v. 12 |
Page(s): | 1517 |
DOI: | 10.3390/buildings12101517 |
Abstract: |
Understanding the research lineage of rural landscape ecosystem services (RLESs) is of importance for improving rural landscapes and developing sustainable ecosystem services. However, there is currently no literature analysis on the scientific quantification and visualization of RLESs. In this study, 4524 articles related to RLESs from 1990 to 2021 were analyzed using the bibliometric method and ISI Web of Science database. The results show that RLES research hotspots have gradually shifted from the early keywords of “vegetation”, “land use change”, “agriculture”, “rural gradients” and “models” to the emerging “cultural ecosystem services”, “rural tourism”, “landscape preferences” and “policy guidance”. Scholars from developed and developing countries place different emphases on research hotspots in terms of research content, scale and methodology due to differences in their research backgrounds and other aspects. In addition, five categories of research fronts were obtained through literature co-citation analysis. Through burst word detection analysis, combined with basic research and research hotspots and frontier analysis, we concluded that future RLES research will focus on four areas: (1) the relationship and collaboration between and management of biodiversity and ecosystem services; (2) the landscape value of RLESs; (3) land-use changes and ecosystem service values; and (4) research methods for innovative RLESs. Our findings may contribute to better in-depth RLES research by providing a theoretical reference and practical help for future related research. |
Copyright: | © 2022 by the authors; licensee MDPI, Basel, Switzerland. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
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data sheet - Reference-ID
10699877 - Published on:
11/12/2022 - Last updated on:
10/05/2023