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A framework for quantifying geodiversity at the local scale: a case study from the Rokua UNESCO Global Geopark.
- Source :
-
Philosophical Transactions of the Royal Society A: Mathematical, Physical & Engineering Sciences . 4/1/2024, Vol. 382 Issue 2269, p1-18. 18p. - Publication Year :
- 2024
-
Abstract
- Geoconservation and related quantitative and qualitative geodiversity assessments are gaining increasing attention. However, methodologies for measuring geodiversity at local scale are currently rare. Here, we present a framework for assessing local-scale geodiversity of different landforms using field-based and digital elevation model (DEM-) derived data from the Rokua UNESCO Global Geopark in Finland. We observed the presence or absence of various geodiversity elements, such as geological or topographical elements in our study sites, and used these data to quantify alpha (α), gamma (γ) and beta (β) geodiversity of various landforms. In addition, we measured topographical heterogeneity in the field and from DEMs. The results showed distinct patterns in the geodiversity and topographical variation of the landforms. The differences between α, γ and β geodiversity of different landforms were particularly clear. According to the results, measures of topographical variability can be used to some extent as surrogates for geodiversity, but the choice of optimal variables is context and scale dependent. These results provide perspectives for further local-scale geodiversity assessments in different study areas and are applicable for a range of purposes, from scientific research to practical management and geoconservation. This article is part of the Theo Murphy meeting issue 'Geodiversity for science and society'. [ABSTRACT FROM AUTHOR]
- Subjects :
- *GEODIVERSITY
*DIGITAL elevation models
Subjects
Details
- Language :
- English
- ISSN :
- 1364503X
- Volume :
- 382
- Issue :
- 2269
- Database :
- Academic Search Index
- Journal :
- Philosophical Transactions of the Royal Society A: Mathematical, Physical & Engineering Sciences
- Publication Type :
- Academic Journal
- Accession number :
- 175366186
- Full Text :
- https://doi.org/10.1098/rsta.2023.0059