Author
Listed:
- Ying Guo
(Institute of Geology and Paleontology, Linyi University, Linyi 276000, China)
- Tian He
(College of History and Culture, Linyi University, Linyi 276000, China)
- Juan Wang
(Institute of Geology and Paleontology, Linyi University, Linyi 276000, China)
- Xiaoying Han
(College of Mining Engineering, North China University of Science and Technology, Tangshan 063009, China)
- Yu Sun
(College of History and Culture, Linyi University, Linyi 276000, China)
- Kaixun Zhang
(Institute of Geomechanics, Chinese Academy of Geological Sciences, Beijing 100081, China)
Abstract
China boasts abundant geoheritage, including numerous paleontological geosites; however, many of these geosites are currently at high risk of degradation and face considerable challenges in protection and management. Using Liaoning Province as a case study, this study employs Geographic Information Systems (GIS) and spatial analysis to conduct the systematic data mining of provincial paleontological geosites. We quantitatively examine their spatiotemporal distribution patterns, identify key natural and socio-economic factors influencing their spatial occurrence, and pinpoint areas at high risk of degradation. Results reveal that the distribution of paleontological geosites across prefectural-city, regional, and geological time scales is highly uneven, leading to significant disparities in scientific research, resource allocation, and geotourism development. Significant spatial correlations are observed between the locations of these geosites and natural parameters as well as socio-economic indicators, providing a theoretical foundation for designing targeted conservation measures and precise management strategies. Based on these findings, the study proposes a multi-scale geoheritage conservation framework for Liaoning, which systematically addresses protection strategies across three distinct dimensions: at the prefectural-level city scale, through precise basic management, systematic investigation, and differentiated protection measures; at the regional scale, by enhancing collaborative mechanisms and establishing an integrated conservation network; and at the geological time scale, by deepening value recognition and promoting forward-looking conservation initiatives. This study not only offers tailored recommendations for conserving paleontological heritage in Liaoning, but also presents a transferable research model for other regions rich in paleontological resources worldwide, thereby bridging the gap between geoheritage conservation needs and practical solutions.
Suggested Citation
Ying Guo & Tian He & Juan Wang & Xiaoying Han & Yu Sun & Kaixun Zhang, 2025.
"Geoheritage Conservation Enhanced by Spatial Data Mining of Paleontological Geosites: Case Study from Liaoning Province in China,"
Sustainability, MDPI, vol. 17(17), pages 1-31, August.
Handle:
RePEc:gam:jsusta:v:17:y:2025:i:17:p:7752-:d:1736551
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