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Analysis on Temporal and Spatial Evolution of UNESCO Global Geoparks and Impact Factors
Since 2015, the new label of UNESCO Global Geoparks (UGGps) has been ratified by UNESCO, attracting more public attention. By 2021, there are 169 UNESCO Global Geoparks in 44 countries. Different from the Biosphere Reserves and World Heritage Sites, UENSCO Global Geoparks are nascent projects that f...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9461384/ http://dx.doi.org/10.1007/s12371-022-00740-6 |
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author | Wang, Junbo Liu, Songyan Li, Xinting Xiao, Yao Scheuer, Bronte Zhao, Pengfei |
author_facet | Wang, Junbo Liu, Songyan Li, Xinting Xiao, Yao Scheuer, Bronte Zhao, Pengfei |
author_sort | Wang, Junbo |
collection | PubMed |
description | Since 2015, the new label of UNESCO Global Geoparks (UGGps) has been ratified by UNESCO, attracting more public attention. By 2021, there are 169 UNESCO Global Geoparks in 44 countries. Different from the Biosphere Reserves and World Heritage Sites, UENSCO Global Geoparks are nascent projects that face various challenges. How to continuously enhance its impact in future and realize sustainable development attracted the attention of researchers. In this study, we analyzed the spatial structure of UGGp in the world and the factors affecting it. Afterwards, we made some suggestions for sustainable development of UGGp. In this research, we obtained information on the geographical location of UNESCO Global Geoparks. The spatial structure was analyzed using quantitative geography models, such as nearest neighbor index, Ripley’s K function, Gini coefficient and uniformity of distribution, kernel density analysis, taking into account the influence of economy, local policies, and geological structure. The results of econometric geographical analysis demonstrate that the distribution of UGGp is obviously non-uniform, with a calculated nearest neighbor index value R of 0.553 and a Gini coefficient of 0.804. This implies that further balancing of regional differences and sustainable development should be considered in future development. This study also found that the distribution is influenced by the level of economic development and geological structure of Geopark territories. The distribution of UGGp is denser in economically developed regions, except for the USA, which is not part of the program. In contrast, the number of UGGp increased in areas with complex geological structures due to various types of geological relics. In order to promote sustainable economic development of local communities, more consideration should be given to construction of more UGGps in less economically developed areas in the future. |
format | Online Article Text |
id | pubmed-9461384 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-94613842022-09-10 Analysis on Temporal and Spatial Evolution of UNESCO Global Geoparks and Impact Factors Wang, Junbo Liu, Songyan Li, Xinting Xiao, Yao Scheuer, Bronte Zhao, Pengfei Geoheritage Original Article Since 2015, the new label of UNESCO Global Geoparks (UGGps) has been ratified by UNESCO, attracting more public attention. By 2021, there are 169 UNESCO Global Geoparks in 44 countries. Different from the Biosphere Reserves and World Heritage Sites, UENSCO Global Geoparks are nascent projects that face various challenges. How to continuously enhance its impact in future and realize sustainable development attracted the attention of researchers. In this study, we analyzed the spatial structure of UGGp in the world and the factors affecting it. Afterwards, we made some suggestions for sustainable development of UGGp. In this research, we obtained information on the geographical location of UNESCO Global Geoparks. The spatial structure was analyzed using quantitative geography models, such as nearest neighbor index, Ripley’s K function, Gini coefficient and uniformity of distribution, kernel density analysis, taking into account the influence of economy, local policies, and geological structure. The results of econometric geographical analysis demonstrate that the distribution of UGGp is obviously non-uniform, with a calculated nearest neighbor index value R of 0.553 and a Gini coefficient of 0.804. This implies that further balancing of regional differences and sustainable development should be considered in future development. This study also found that the distribution is influenced by the level of economic development and geological structure of Geopark territories. The distribution of UGGp is denser in economically developed regions, except for the USA, which is not part of the program. In contrast, the number of UGGp increased in areas with complex geological structures due to various types of geological relics. In order to promote sustainable economic development of local communities, more consideration should be given to construction of more UGGps in less economically developed areas in the future. Springer Berlin Heidelberg 2022-09-09 2022 /pmc/articles/PMC9461384/ http://dx.doi.org/10.1007/s12371-022-00740-6 Text en © The Author(s), under exclusive licence to International Association for the Conservation of Geological Heritage 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Article Wang, Junbo Liu, Songyan Li, Xinting Xiao, Yao Scheuer, Bronte Zhao, Pengfei Analysis on Temporal and Spatial Evolution of UNESCO Global Geoparks and Impact Factors |
title | Analysis on Temporal and Spatial Evolution of UNESCO Global Geoparks and Impact Factors |
title_full | Analysis on Temporal and Spatial Evolution of UNESCO Global Geoparks and Impact Factors |
title_fullStr | Analysis on Temporal and Spatial Evolution of UNESCO Global Geoparks and Impact Factors |
title_full_unstemmed | Analysis on Temporal and Spatial Evolution of UNESCO Global Geoparks and Impact Factors |
title_short | Analysis on Temporal and Spatial Evolution of UNESCO Global Geoparks and Impact Factors |
title_sort | analysis on temporal and spatial evolution of unesco global geoparks and impact factors |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9461384/ http://dx.doi.org/10.1007/s12371-022-00740-6 |
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