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Geodiversity Assessment Methods: An Updated Framework
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The concept of geodiversity has gained increasing recognition since its introduction in the 1990s. Unfortunately its assessment remains a challenge due to the lack of a well-defined methodological framework. Geodiversity assessment plays a crucial role in understanding and managing abiotic nature, influencing geoconservation, spatial planning, and geosystem services. While various approaches to geodiversity assessment have been proposed, there is a need for a systematic and updated classification of these methods. This poster presents an updated classification of geodiversity assessment methods, based on the framework originally published by Zwoliński et al. (2018). The revised framework addresses key methodological challenges, such as scale dependency, subjectivity in assessment, and interoperability of geospatial data.The literature review highlights the increasing importance of qualitative-quantitative methods that integrate Geographic Information Systems (GIS) tools at different stages of data collection, processing, and visualization. . Additionally, the application of computational ontologies has facilitated a more standardised representation of geodiversity data, improving interoperability across disciplines. There is a noticeable increase in the number of publications related to geodiversity assessments or its individual components as predictors of biodiversity, an area of research expected to expand further with the integration of artificial intelligence (AI) and machine learning techniques. Despite these advances, validation remains one of the major unresolved challenges, particularly in large-scale assessments. Emerging methodologies such as Participatory Public GIS (PPGIS) and Volunteered Geographic Information (VGI) have introduced promising solutions, allowing for crowdsourced data collection and verification. These approaches enable broader spatial coverage and provide a cost-effective means of assessing geodiversity in remote or extensive areas.By refining and modernising the classification of geodiversity assessment methods, this study contributes to a more consistent and applicable evaluation framework. The proposed methodological advancements have significant implications for geoconservation strategies, sustainable spatial planning, and risk management. As geodiversity gains greater recognition within scientific and policy-making communities, the development of standardised and validated assessment techniques will be essential in promoting its role in environmental management and geoscience research.Zwoliński, Zb., Najwer, A., Giardino, M., 2018. Methods for assessing geodiversity. In: Reynard, E., Brilha, J., (Eds.), Geoheritage: Assessment, Protection, and Management. Elsevier. https://doi.org/10.1016/B978-0-12-809531-7.00002-2.
Title: Geodiversity Assessment Methods: An Updated Framework
Description:
The concept of geodiversity has gained increasing recognition since its introduction in the 1990s.
Unfortunately its assessment remains a challenge due to the lack of a well-defined methodological framework.
Geodiversity assessment plays a crucial role in understanding and managing abiotic nature, influencing geoconservation, spatial planning, and geosystem services.
While various approaches to geodiversity assessment have been proposed, there is a need for a systematic and updated classification of these methods.
This poster presents an updated classification of geodiversity assessment methods, based on the framework originally published by Zwoliński et al.
(2018).
The revised framework addresses key methodological challenges, such as scale dependency, subjectivity in assessment, and interoperability of geospatial data.
The literature review highlights the increasing importance of qualitative-quantitative methods that integrate Geographic Information Systems (GIS) tools at different stages of data collection, processing, and visualization.
.
Additionally, the application of computational ontologies has facilitated a more standardised representation of geodiversity data, improving interoperability across disciplines.
There is a noticeable increase in the number of publications related to geodiversity assessments or its individual components as predictors of biodiversity, an area of research expected to expand further with the integration of artificial intelligence (AI) and machine learning techniques.
Despite these advances, validation remains one of the major unresolved challenges, particularly in large-scale assessments.
Emerging methodologies such as Participatory Public GIS (PPGIS) and Volunteered Geographic Information (VGI) have introduced promising solutions, allowing for crowdsourced data collection and verification.
These approaches enable broader spatial coverage and provide a cost-effective means of assessing geodiversity in remote or extensive areas.
By refining and modernising the classification of geodiversity assessment methods, this study contributes to a more consistent and applicable evaluation framework.
The proposed methodological advancements have significant implications for geoconservation strategies, sustainable spatial planning, and risk management.
As geodiversity gains greater recognition within scientific and policy-making communities, the development of standardised and validated assessment techniques will be essential in promoting its role in environmental management and geoscience research.
Zwoliński, Zb.
, Najwer, A.
, Giardino, M.
, 2018.
Methods for assessing geodiversity.
In: Reynard, E.
, Brilha, J.
, (Eds.
), Geoheritage: Assessment, Protection, and Management.
Elsevier.
https://doi.
org/10.
1016/B978-0-12-809531-7.
00002-2.
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