Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/19330
Title: Geosite Assessment Using Three Different Methods; A Comparative Study of the Krupaja and the Žagubica Springs-Hydrological Heritage of Serbia
Authors: Miljković Durda 
Božić Sanja 
Miljković Ljupče
Marković Slobodan 
Lukić Tin 
Jovanović Mladen
Bjelajac Dajana 
Vasiljević Dordije A.
Vujičić Miroslav D.
Ristanović Branko 
Issue Date: 2018
Journal: Open Geosciences
Abstract: © 2018 Durcrossed d signa Miljković et al. 2018. Hydrological heritage is a relatively new concept in the field of geosite assessment. The principal aim of this study is to apply M-GAM (Modified geosite assessment model) for comparative analysis of the Krupaja spring and the Žagubica (Mlava) spring, located in Homolje area, in Eastern Serbia. According to the classification of geosites of Institute for Nature Conservation of Serbia, these sites are on the list of protected sites ("hydro(geo)logical" heritage sites) of extraordinary national importance; however, they still have not gained necessary recognition in Serbia. Thus, their assessment according to different target groups should provide a clearer picture of their current condition. As M-GAM considers that not all indicators for evaluation of geosites are of the same importance, this paper applies two methods for comparing and determining the importance of indicators and subindicators in the model (Analytical-hierarchy process (AHP) and descriptive statistics conducted by SPSS). Also, it is assumed that different target groups will give different importance to some indicators in the model, which would result in various evaluation scores for the same geosites. The paper also provides a comparative analysis of the assessment carried out by two different target groups-potential geotourists and geoexperts. The results obtained by AHP and descriptive statistics are quite similar, which confirms the reliability of respondents' answers and the results gained. The analyzed sites are differently positioned in the evaluation matrix, and implications are further discussed in the paper.
URI: https://open.uns.ac.rs/handle/123456789/19330
ISSN: 2391-5447
DOI: 10.1515/geo-2018-0015
Appears in Collections:PMF Publikacije/Publications

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