Startseite Speleotourism in Slovenia: balancing between mass tourism and geoheritage protection
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Speleotourism in Slovenia: balancing between mass tourism and geoheritage protection

  • J. Tičar EMAIL logo , N. Tomić , M. Breg Valjavec , M. Zorn , S. B. Marković und M. B. Gavrilov
Veröffentlicht/Copyright: 11. August 2018
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Abstract

Slovenia is considered as the cradle of karst geotourism as cave tourism started there as early as the Middle Ages. To date more than 12,000 caves were discovered from which 22 have the status of tourist caves. From these, 10 were assessed using the M-GAM model (Modified Geosite Assessment Model) to gain information for better future management strategies. The results show that visitors of Slovenian tourist caves mostly appreciate their natural values, as they prefer caves without major tourism infrastructure and they pay attention to their protection status. The model also confirmed that the two most important tourist caves (Postojna Cave and Škocjan Caves) have the leading geotourism role and that the management of tourist caves via a regional park as is the case of Škocjan Caves is an example of good practice.

1 Introduction

The concept of geotourism was introduced in the early 1990’s. It was defined as providing facilities and interpretation services to help tourists to acquire knowledge and understanding of “geosites”, i.e. geological or geomorphological sites with recognised value [1, 2].

The background of geotourism may be related to caves [3]. Caves were the earliest tourist attractions, and nowadays one of the most appreciated geotourism destinations in the world [4]. In Slovenia, which is acknowledged as “the cradle of karst geotourism” cave tourism started as early as the Middle Ages when visiting caves was popular either because of curiosities or because of religious reasons (pilgrimages). The world’s first tourist cave, meaning that it was necessary to pay for the entrance, was the Vilenica Cave located on the Kras (Karst) Plateau (SW Slovenia), for which it is documented to be a source of income even before 1633 [5, 6]. In Germany, the Baumannshöle Cave had guided visits already in 1648, as well as a conservation and a controlled number of visitors’ management plan as early as 1668 [7].

Although tourism is primarily an economic activity considering the use of caves, the focus of geotourism and thus cave tourism has to be conservation of cave environment. Connectivity between the underground and surface makes karst systems especially vulnerable and their sustainability is threatened by increasing human development [8]. Recognizing this problem, the IUCN has formulated guidelines for the protection of caves and karst, and for sustainable tourism in protected areas [9]. The tourist caves are under pressure of large numbers of tourist that potentially alter the local climatic and environmental conditions of the cave system [10, 11]. To ensure the acceptability of tourist influence on cave environment it is necessary to monitor relevant parameters in tourist caves [12]. Through evaluation a carrying capacity for individual tourist cave should be estimated [13, 14, 15].

According to Zhang & Jin [16], there are around 800 tourist caves in the world. The estimated number of visits in 197 tourist caves had revealed that more than 25 million people visit them each year [17]. Tourist caves are most attractive in Europe (48% of visits), followed by Asia (36% of visits) whereas North America and other continents have a share of 8% of visits (Fig. 1). Rough estimation of income from cave tourism is more than 2.3 billion US$ per year [17], whereas around 100 million people are directly or indirectly affected by the income of cave tourism [18].

Figure 1 Worldwide distribution of visits in tourist caves per year (adapted from [17]).
Figure 1

Worldwide distribution of visits in tourist caves per year (adapted from [17]).

In the paper, the focus is given on tourist caves of Slovenia. Following European and global trends in more environmentally friendly tourism activities, sustainable paradigm and specific management models about geoheritage and geotourism in Slovenia were implemented through the Slovenian Strategy of Sustainable Growth [19]. The management of caves is strictly regulated according to the Underground Cave Protection Act, because all caves in Slovenia (app. 12,000) are defined as natural heritage of national importance and are owned by the state. The law defines the activities in caves, mostly outlining the prohibited impacts on cave environment. Some regulations have also been applied for tourist activities, due to the commercial use and adaptation of the tourist caves passages.

Good economic (e.g., promotional activities) and as well mismanagement practices (e.g., the effects of tourist paths on cave environment, quality of guide service) can be recognized through the annual frequency of visitors among Slovenian tourist caves and consequently annual income. Based on the data from annual reports for 2016, the Postojna Cave, the biggest tourist attraction in Slovenia, was visited by 689,608 tourists [20], while Škocjan Caves, the only cave system in Slovenia that is under the auspices of UNESCO, had over 145,000 registered visitors [21]. In the Postojna Cave, the economic model prevails, whereas Škocjan Caves are more oriented towards protection of the environment, being the UNESCO world heritage site since 1986.

Already in 19th century tourist caves in present-day Slovenia (in that time in Habsburg Monarchy) were at the top of world cave tourism destinations having the most contemporary technological equipment (e.g., electric illumination and underground train in the case of Postojna Cave), developed promotion and efficient marketing which reflected in good financial income [22].

Nevertheless, an overview of the Slovenian cave tourism shows that some smaller tourist caves are not of such interest for tourists as they were in the past. It means that not only natural beauty, aesthetic or scientific role are necessary for a successful development of geotourism in caves.

The aim of the study was to recognize weaknesses and opportunities of smaller touristic caves and to define the possible management models for the development of successful sustainable geotourism destinations with a primary goal in the conservation of cave heritage. By using the M-GAM (Modified Geosite Assessment Model) model for geosite assessment [23] the management of two successful geotourism cave destinations (Postojna Cave and Škocjan Caves) was compared with management practices of eight smaller and touristically less developed caves (Dimnice Cave, Divača Cave, Pekel Cave, Kostanjevica Cave, Križna Cave, Snežna Cave, Vilenica Cave, Županova Cave). The results of the analysis provide information about possible fields of improvement and to identify which areas require more attention and better management in the future in order for this areas to become a better-known cave tourism destination which could gain the interest of larger number of tourists.

2 Materials and Methods

2.1 Study sites

According to the Underground Cave Protection Act, 22 caves in Slovenia are designated as tourist caves. Most important tourist caves are managed by a private company (e.g., Postojna Cave) or within a regional park (e.g., Škocjan Caves), nevertheless most of the smaller tourist caves are managed by local caving or tourist societies. The Ministry of the Environment and Spatial Planning gives the manager of a tourist cave a concession with guidelines and restrictions of management. It is worth mentioning that implementation of concession system has been poorly adapted, due to the lack of regulatory provisions. Despite the formal recognition of tourist caves within above-mentioned act, some other caves in Slovenia have nowadays been used as a polygon for extreme tourism and adrenaline activities, which is poorly regulated within the act. Our study focused on 10 tourist caves (Table 1, Fig. 2), i.e. the most representative according to the importance of the cave geotourism within local and national tourism resources.

Table 1

Main characteristics of studied caves.

Name of the caveLength of the cave (m)Length of the tourist path (m)Type of karstCave managerNumber of visitors per year
Dimnice Cave6,0201,000Low Dinaric karst plateauLocal caving society2,400
Divača Cave672672Low Dinaric karst plateauLocal caving society1,900
Pekel Cave1,500400Isolated Prealps karstLocal tourist society14,800
Kostanjevica Cave1,871200High Dinaric karst plateauLocal caving society10,300
Križna Cave8,273600Low Dinaric karst plateauLocal caving society2,200
Postojna Cave24,1205,000Low Dinaric karst plateauPrivate company689,000
Snežna Cave1,327500High Dinaric karst plateauLocal caving society3,400
Škocjan Caves6,3102,300Low Dinaric karst plateauRegional Park145,000
Vilenica Cave841450Low Dinaric karst plateauLocal caving society11,500
Županova Cave710327Low Dinaric karst plateauLocal tourist society5,300

Figure 2 The location of tourist caves included in the study.
Figure 2

The location of tourist caves included in the study.

The Dimnice Cave is located in the Podgrajsko podolje, a Low Dinaric karst plateau in SW Slovenia near the Markovščina settlement. The surrounding surface is characterised with numerous dolines and blind valleys at the contact of flysch and limestone rocks at the edge of Kras Plateau [5]. The cave was discovered in 1904 and has a 6,020 m of mostly horizontal passages, with around 1,000 m of tourist paths [24]. Cave is famous for its mist that is appearing on the entrance due to the circulation of warmer air in the colder period of the year. The cave is also known for its large chambers with big flowstone formations and the underground river. The cave is under the management of a local caving society (Dimnice Koper Caving Society) and has around 2,400 tourist visits per year [5].

The Divaca Cave is located in the south-eastern part of Kras Plateau in the SW Slovenia near town of Divača. In the geological past Divača Cave was a part of Reka River system that also carved the underground canyon of Škocjan Caves [25]. The cave was discovered in 1884 and has been soon after arranged for tourist visits. With only 672 m of horizontal passages [26] that are completely accessible for tourists it’s the smallest among the caves included in our study. The cave is famous for its flowstone formations. It attracted some important or famous visitors such as the Austro-Hungarian heir to the throne Rudolf or psychiatrist Sigmund Freud. In the past, cave management had some negative impacts on the cave using slag from steam locomotives for grounding of tourist paths. This problem is being resolved within restoration process in recent years. The cave is under the management of a local caving society (Divača Gregor Žiberna Caving Society) and has around 1,900 tourist visits per year [5].

The Pekel Cave is located in the isolated karst of Ponikve Plateau in the NE Slovenia near the Šempeter settlement. The cave is characterised by a relatively large water passage with a total length of 1,500 m [26]. It has been discovered already in the second half of 19th century and arranged for tourist visits, but this diminished already around 1880. In 1973, the cave was rearranged and around 400 m was opened for tourism. Since the cave is relatively long and rich in flowstone formation compared to other caves in the region it has attracted attention of numerous tourists. The cave is under the management of a local tourist society (Šempeter Tourist Society) and has around 14,800 tourist visits per year [5].

The Kostanjevica Cave is located at the foot of Gorjanci Hills in SE Slovenia near the town of Kostanjevica na Krki. The cave was discovered in 1937 and has 1,871 m of passages [26] with around 200 m of tourist paths. The cave is famous for its large and decorated chambers, being also an important habitat for Greater horseshoe bats (Rhinolophus ferrumequinum) that gather in colonies. The cave was first opened for tourism already in 1937, being rearranged in 1971, 1984 and 1995. The cave is under the management of a local caving society (Kostanjevica na Krki Caving Society) and has around 10,300 tourist visits per year [5, 27].

The Križna Cave is located at the rim of world renowned Cerknica (karst) Polje in S Slovenia near Lož settlement. The cave was already visited in 1832 and reopened for tourism several times after WWI. It has 8,273 m of passages [26] of which around 600 m are arranged for regular tourist visits. Križna Cave is considered one of the most attractive tourist caves in Slovenia, due to the large underground lakes with clear water that were formed behind flowstone dams and highly decorated with flowstone formations. One of the tourist attractions are also the cave bear remains (bones) with numerous findings. The tourist arrangement also includes guided visits of the cave with boats, but the number of visits has been strongly regulated and only small groups are allowed. The cave is under the management of a local caving society (Križna Cave Caving Society) and has around 2,200 tourist visits per year [5].

The Postojna Cave is located at the ponor of Pivka River in SW Slovenia near the town of Postojna. The cave was already occupied by prehistoric man, but first evidences of visits date back to 13th century. Postojna Cave was long considered as the longest cave in Slovenia with more than 24 km of passages [26] of which nowadays around 5 km are arranged for tourism. After 1818 when the passage to the greater parts of the cave was discovered, tourism began to flourish. The construction of railway from Vienna to Trieste in the middle of 19th century had a great impact on the number of visitors, followed by the underground railway in 1872 and installation of electricity in 1884. Attractiveness of the Postojna Cave with its flowstone formation, underground river, train, arranged paths, biodiversity and well-established promotional activities soon placed it on the map of the world’s most visited tourist caves with its peak at the end of 1990’s when nearly 1 million of tourists per year visited the cave. After the breakup of Yugoslavia, the number of tourists dropped significantly, but has been increasing constantly ever since. The cave is nowadays managed by a private company (Postojnska jama, d. d.) and the Postojna Cave Park with Vivarium, Expo exhibition, different cultural events and connection with the Predjama Castle attracts more than 1 million tourists yearly from which more than 689,000 tourists visit the cave itself [5, 20, 28].

The Snežna Cave is located on the Raduha Mountain in N Slovenia near the Luče settlement. With the entrance at 1,556 m a.s.l., it is considered as the highest tourist cave in Slovenia. Being the classical alpine cave, one of the main attractions of the Snežna Cave are ice formations in the Entrance Hall. The cave was discovered in 1981 and has 1,327 m of generally horizontal passages [26] of which around 500 m are arranged for tourism since 1990. The main passage is relatively large and decorated with flowstone formations [5]. Recent scientific discoveries focusing on the cave sediments revealed the importance of the cave in understanding and dating of a process of Alpine uplifting [29]. The cave is under the management of a local caving society (Prebold Caving Society) and has around 3,400 tourist visits per year [30].

The Škocjan Caves are located at the eastern edge of Kras Plateau in SW Slovenia near the town of Divača. Picturesque surface represented by a ponor of Reka River (Fig. 3), numerous collapsed dolines, smaller karst surface features and biodiversity were the reason for the establishment of Škocjan Caves Regional Park in 1996. First tourist paths were made already in 1823. Following the great explorations of the 19th century, tourist numbers increased rapidly in a period between 1884 and 1906 when most of the paths through Škocjan Caves were completed [5]. Today 6,310 m of passages are known [26]. Škocjan Caves are listed in the UNESCO’s list of natural and cultural world heritage sites and on the international Ramsar list of wetlands, as first underground wetland in the World, due to its rich underground and terrestrial fauna and flora. More than 145,000 tourist visits them each year [21] with an increasing trend.

Figure 3 A collapse doline at Matavun settlement (SW Slovenia) above Škocjan Caves, one of the most attractive tourist caves in Slovenia.
Figure 3

A collapse doline at Matavun settlement (SW Slovenia) above Škocjan Caves, one of the most attractive tourist caves in Slovenia.

The Vilenica Cave is located in the south-eastern part of Kras Plateau in SW Slovenia near Lokev settlement. It has been known as the world’s oldest tourist cave, with recordings of it being a source of income even before 1633. It has been in function as a tourist cave ever since, but the visits diminished due to the vicinity of the Postojna Cave and Škocjan Caves which quickly established their reputation as leading cave destinations in Slovenia. In 1963, the cave was equipped with electric illumination by the local caving society, which manages the cave. Nowadays one of the most significant cultural event in Slovenia, the Vilenica International Literary Festival, is being organized in the cave every year since 1986. The cave has 841 m of passages [26] with about 450 m of tourist paths. The Vilenica Cave is under the management of a local caving society (Sežana Caving Society), and has around 11,500 tourist visits per year [5, 22].

The Županova Cave is located west from the Radensko (karst) Polje in central Slovenia near Velike Lipljenje settlement. The cave was discovered in 1926 and has 710 m of passages mostly consisting of large halls [26]. The cave is famous for its flowstone formations and the annual descend of visitors through a pit that used to be the first known entrance. The proximity of Ljubljana City (20 km) gives opportunities for future tourist development, focusing nowadays on individual guests and groups (e.g., school groups). The Županova Cave is under the management of a local tourist society (Grosuplje Tourist and Environmental Society) and has around 5,300 tourist visits per year [5].

2.2 Assessment of geodiversity, geoheritage and geotourism

The assessment of geodiversity and geoheritage is related to comprehensive nature protection and better management of protected areas [31, 32, 33, 34, 35, 36].

In Slovenia, the assessment of geodiversity and geoheritage was carried out relatively early, and the first studies used simple numerical methods to define the degree of landscape attractiveness [37]. The most systematic geosite assessment analyses were carried out in the Alps, around Lake Bled [38], and in the Triglav Lakes Valley in Triglav National Park [39]. Some analyses focused on a single geomorphological or hydrological form, such as waterfalls [40], or on the loss of geoheritage due to geomorphic processes [41]. Recent studies have primarily focused on the Dinaric Mountains, where analyses of geodiversity hotspots were carried out in the Rakov Škocjan Nature Park [42], the Škocjan Caves Regional Park [43], and the Upper Pivka Basin [44]. Some recent papers also focused on urban area geosite assessment in Slovenia [45].

Another aspect, beside geodiversity and geoheritage assessment, is the assessment of geotourism destinations. According to Zorn et al. [6, 46] Slovenia is the cradle of karst geotourism.

The most influential interpretation of the development of tourist areas was made by Butler [47]. His model, often referred to as Tourism Area Life Cycle (TALC), explains the development of a tourist destination undergoing six stages (exploration, involvement, development, consolidation, stagnation, and decline or rejuvenation). Beside Butler’s [48], some later models were used in Slovenia by considering development of sustainable and green tourism like the St. Gallen model made by Beritelli et al. [49].

In this study, we tested the methodology based on the “Modified Geosite Assessment Model” (M-GAM), first introduced by Tomić and Božić [23], which represents a modification of GAM model introduced by Vujičić et al. [50]. The value of the GAM model consists of two key indicators: Main Values (MV), addressing geosite’s natural characteristics and Additional Values (AV) addressing human-induced characteristics and it can be written as,

GAM=MV+AV.(1)

The MV include three groups of indicators: Scientific and educational values (VSE), Scenic and aesthetic values (VSA) and Protection values (VPr), with 12 subindicators (SIMVi) or,

MV=VSE+VSA+VPr(2)

The AV include two groups of indicators: Functional values (VFn) and Touristic values (VTr), with a total of 15 subindicators (SIAVj) or,

AV=VFn+VTr(3)

Here, SIMVi represents the 12 subindicators of Main Values while SIAVj represents 15 subindicators of Additional Values. Based on the results assessment, a matrix of Main Values (horizontal axes) and Additional Values (vertical axes) is created (Fig. 6), where each geosite’s final score is represented. The matrix is divided into nine zones that are indicated by Z (i,j) (i,j=1,2,3), based on the grade the objects received in the previous evaluation process. Thus while discussing the results a level of Main and Additional Values (e.g., low, moderate, high) can be described.

While GAM model includes only the experts’ opinion, M-GAM (Fig. 4) addresses the opinion of visitors as well. The visitors provide the rate of importance (Im) for all 27 subindicators in the assessment process, as

Figure 4 Schematic presentation of M-GAM model (adapted from [23]).
Figure 4

Schematic presentation of M-GAM model (adapted from [23]).

Im=k=1KIvkK(4)

where Ivk is the numerical value given by each visitor for each subindicator and K is the total number of visitors that rated the subindicators.

After each respondent rates the importance of every subindicator (from 0.00 to 1.00), the average value of each subindicator is calculated and the final value of that subindicator represents the importance factor. Afterwards, the value of the importance factor (Im) is multiplied by the value that was given by experts. In this way, the M-GAM equation gives more objective results. Now, the value of the M-GAM model can be written as,

MGAM=MV+AV,(5)

where,

MV=i=1nImiMVi(6)
AV=j=1nImjAVj(7)

Here, Imi and Imj present the Im factor value for each of the 12 subindicators of Main Values (i = 1,…,12) as well as the Im factor for each of the 15 subindicators of Additional Values (j =1,…,15). In this way, the M-GAMequation (5)-(7) gives more objective results than the GAMequation (1)-(3).

The structure and grades of indicators and subindicators remained the same as in previous GAM and M-GAM studies [15, 51, 52, 53, 54, 55], yet the approach in the study of cave geotourism in Slovenia was adapted by different measures (e.g., online questionnaire).

Two different sets of online questionnaires were prepared, addressing experts and visitor’s opinion. Some of the questions had to be adapted to refer to the particularities of a cave geosite (e.g., size of the cave). An online survey was conducted between June 1st 2017 and July 12th 2017. For the expert’s opinion the managers of the caves were addressed, additionally some results had to be obtained from karst scientists. For addressing the general public, a survey with snowball sampling approach was released via email to: 1) geomorphology interest groups, 2) geography and history interest groups, 3) teacher interest groups; 4) Slovenian tourist organisation, 5) high-schools, 6) primary schools in the vicinity of tourist caves, 7) tourist-info points in the vicinity of tourist caves, 8) municipalities in the vicinity of tourist caves and 9) social media.

Besides M-GAM model-oriented questions, the questionnaires included some demographic questions such as gender, age and education. Altogether 10 experts were included in the study, from which 80% were male and 20% female, in 80% belonging to the age group 30-49 years and in 80% had tertiary second cycle of higher education or more. Among 331 tourists, 35% were male and 65% female, in 51% belonging to the age group 30-49 years and in 77% had tertiary second cycle of higher education or more.

3 Results and Discussion

The first part of M-GAM results is actually an evaluation of geosites by GAM model. Results give experts insight (one expert per cave) in the overall geoheritage importance of an individual cave and their contemporary status within tourism development. Values given by experts (0.00–1.00) for all 10 caves included in the study are listed in Table 2 (first ten columns), as well as total values. The individual total value is a product of the expert value and the importance factor (Im). The results were further aggregated for Main and Additional Values at the level of individual cave (Table 3).

Table 2

Values given to studied tourist caves by experts, Im factor provided by tourists and total values for every subindicator.

Main indicators / SubindicatorsValues given by experts (0.00-1.00)ImTotal values (0.00-1.00)
GS1GS2GS3GS4GS5GS6GS7GS8GS9GS10GS1GS2GS3GS4GS5GS6GS7GS8GS9GS10
I Scientific and educational values (VSE)
1. Rarity (SIMV1)0.250.001.001.001.000.001.000.000.000.750.780.190.000.780.780.780.000.780.000.000.58
2. Representativeness (SIMV2)0.501.000.750.751.001.000.751.000.251.000.770.380.770.580.580.770.770.580.770.190.77
3. Knowledge on geo-scientific issues (SIMV3)1.001.001.001.001.001.001.001.001.001.000.770.770.770.770.770.770.770.770.770.770.77
4. Level of interpretation (SIMV4)0.501.001.001.001.001.001.001.001.001.000.940.470.940.940.940.940.940.940.940.940.94
II Scenic and aesthetic values (VSA)
1. Viewpoints (SIMV5)0.501.001.000.751.001.001.001.000.501.000.780.390.780.780.590.780.780.780.780.390.78
2. Surface (SIMV6)1.000.000.500.501.001.000.501.000.000.000.400.400.000.200.200.400.400.200.400.000.00
3. Surrounding landscape and nature (SIMV7)1.000.500.750.501.001.001.000.750.500.750.650.650.320.480.320.650.650.650.480.320.48
4. Environmental fitting of sites (SIMV8)0.000.001.000.500.500.500.001.000.000.000.550.000.000.550.270.270.270.000.550.000.00
III Protection values (VPr)
1. Current condition (SIMV9)0.750.250.750.751.001.000.500.750.750.750.870.650.220.650.650.870.870.440.650.650.65
2. Protection level (SIMV10)0.750.750.750.750.751.000.751.000.751.000.810.600.600.600.600.600.810.600.810.600.81
3. Vulnerability (SIMV11)0.250.501.000.500.001.000.500.500.250.750.820.200.410.820.410.000.820.410.410.200.61
4. Suitable number of visitors (SIMV12)0.500.750.750.500.251.000.751.000.501.000.890.440.660.660.440.220.890.660.890.440.89
I Functional values (VFn)
1. Accessibility (SIAV1)0.751.000.251.001.001.001.000.251.001.000.640.480.640.160.640.640.640.640.160.640.64
2. Additional natural values (SIAV2)1.000.750.501.000.251.000.501.001.000.250.470.470.350.230.470.120.470.230.470.470.12
3. Additional anthropogenic values (SIAV3)0.750.750.501.000.000.500.501.001.000.500.430.320.320.220.430.000.220.220.430.430.22
4. Vicinity of emissive centres (SIAV4)0.500.500.750.750.500.250.251.000.750.750.280.140.140.210.210.140.070.070.280.210.21
5. Vicinity of important road network (SIAV5)1.001.001.001.000.501.000.501.001.001.000.530.530.530.530.530.270.530.270.530.530.53
6. Additional functional values (SIAV6)0.500.501.000.500.251.000.001.000.500.250.350.170.170.350.170.090.350.000.350.170.09
II Tourist values (VTr)
1. Promotion (SIAV7)0.500.751.000.501.001.001.001.001.000.750.520.260.390.520.260.520.520.520.520.520.39
2. Annual number of organised visits (SIAV8)0.751.001.001.001.001.001.001.000.751.000.590.440.590.590.590.590.590.590.590.440.59
3. Vicinity of visitors centres (SIAV9)0.500.750.500.750.501.000.501.000.500.500.530.270.400.270.400.270.530.270.530.270.27
4. Interpretive panels (SIAV10)0.250.500.500.750.001.001.000.750.000.500.690.170.350.350.520.000.690.690.520.000.35
5. Annual number of visitors (SIAV11)0.250.250.500.500.501.000.251.000.250.250.310.080.080.160.160.160.310.080.310.080.08
6. Tourism infrastructure (SIAV12)0.000.251.000.750.751.000.501.000.500.500.500.000.130.500.380.380.500.250.500.250.25
7. Tour guide service (SIAV13)0.751.000.750.501.001.000.501.000.750.750.700.530.700.530.350.700.700.350.700.530.53
8. Hostelry service (SIAV14)0.751.000.751.001.001.001.001.000.750.750.200.150.200.150.200.200.200.200.200.150.15
9. Restaurant service (SIAV15)0.750.751.000.750.501.000.751.000.750.500.410.310.310.410.310.200.410.310.410.310.20
  1. GS1–Dimnice Cave, GS2–Divača Cave, GS3–Pekel Cave, GS4–Kostanjevica Cave, GS5–Križna Cave, GS6–Postojna Cave, GS7-Snežna Cave, GS8–Škocjan Caves, GS9–Vilenica Cave, GS10–Županova Cave

Table 3

Overall assessment of geosite’s characteristics in studied Slovenian tourist caves by using M-GAM model.

Geosite labelMain ValuesAdditional ValuesField
VSE + VSA + VprΣVFn + VTrΣ
GS1–Dimnice Cave1.82 + 1.44 + 1.915.162.12 + 2.204.32Z21
GS2–Divača Cave2.48 + 1.10 + 1.895.482.16 + 3.145.30Z22
GS3–Pekel Cave3.07 + 2.01 + 2.747.821.70 + 3.475.17Z22
GS4–Kostanjevica Cave3.07 + 1.38 + 2.116.562.46 + 3.165.62Z22
GS5–Križna Cave3.26 + 2.10 + 1.707.061.25 + 3.024.27Z21
GS6–Postojna Cave2.48 + 2.10 + 3.387.962.28 + 4.466.74Z22
GS7–Snežna Cave3.07 + 1.63 + 2.116.811.43 + 3.264.69Z21
GS8–Škocjan Caves2.48 + 2.21 + 2.757.452.22 + 4.296.51Z22
GS9–Vilenica Cave1.91 + 0.71 + 1.914.532.46 + 2.545.00Z22
GS10–Županova Cave3.07 + 1.26 + 2.967.291.80 + 2.814.61Z21
Mean-6.61-5.22-

The important upgrade of GAM model is given by the Importance factor (Im), which is not a measure for the evaluation of a geosite, but is a measure for the assessment of subindicators (27) evaluated by cave visitors. Thus, M-GAM addresses the opinion of visitors from the aspect of subindicators. All 331 tourists provided the rate of importance (Im) in the assessment process. According to Im factor, the highest rated subindicators (>0.80) are the most relevant and the most important for the assessment of cave geosite. The highest rated are Level of interpretation (0.94), Suitable number of visitors (0.89), Current condition (0.87), Vulnerability (0.82) and Protection level (0.81). In general, these rates express relatively high awareness of cave visitors regarding the protection of caves. The highest is also the average Im for some Main Values, e.g., Protection values (0.85) and Scientific and educational values (0.82). It is interesting that Main Value Scenic and aesthetic values are relatively low, on average only (0.60). It may be that the influence of the visiting experience itself and the adventure are more important to cave visitors than the aesthetic value.

The least important subindicator according to cave visitors is Hostelry service (0.20). The visitors of caves in Slovenia are mostly one day visitors traversing the country on their way to the final destination (e.g., foreign summer tourists from Germany, Italy, Austria etc. on their way to Croatian coastal destinations) and domestic guests (e.g., school groups, families) thus the accommodation services are not relevant for their visit of caves. In general, the average rating of subindicators from Additional Values are lower compared to Main Values, e.g., Functional indicators (0.45) and Tourist indicators (0.49).

According to Božić and Tomić [51] classification of geotourists among “general” (i.e. casual geotourists who visit geosites primarily for the purpose of pleasure and some limited intellectual stimulation) and “pure” (i.e. geotourists who purposefully select to visit geosites for the purpose of personal educational or intellectual improvement and enjoyment) geotourists, we can count Slovenian cave visitors to the latter group. In general, they give less importance to the human-induced values (such as tourist infrastructure) and give more importance to natural values of a geosite. They prefer geosites with basic tourism infrastructure and pay a lot of attention to the protection of geosites [51].

Main Values (Table 3; Fig. 5) are showing a joint, experts and tourists assessment of geoheritage and geotourism importance for an individual cave. The highest Main Values (>7) were calculated for five caves: the Postojna Cave (7.96), the Pekel Cave (7.82), Škocjan Caves (7.45), the Županova Cave (7.29) and the Križna Cave (7.06). The three most visited caves (Table 1) are placed on first three places. The lowest Main Values (<5) were calculated for the Vilenica Cave (4.53).

Figure 5 Distribution of results by indicators of M-GAM model.
Figure 5

Distribution of results by indicators of M-GAM model.

Additional Values (Table 3; Fig. 5) are showing the same order for the Postojna Cave (6.74) and Škocjan Caves (6.51). Both reached Additional Values >6, which proves their dominance as the most visited and most popular caves in Slovenia. In contrary, the lowest Additional Values (<5) were determined for four small and less visited caves: the Križna Cave (4.27), the Dimnice Cave (4.32), the Županova Cave (4.61) and the Snežna Cave (4.69). This means that at these destinations tourism infrastructure, promotion, interpretation etc. is not developed enough in comparison to leading tourist caves. The Križna Cave, the Dimnice Cave and the Snežna Cave do not have electric illumination and almost none paved tourist paths through the cave. These facts can be also interpreted in a positive way by taking into account that these caves have remained preserved regarding infrastructural impacts (absence of lampenflora, preserved cave habitats, preserved cave sediment profiles and speleothems), thus being more interesting for scientific and educational purposes, as well as for the development of more sustainable tourism.

Upon M-GAM classification, two groups of Slovenian tourist caves are presented in the matrix: Z22 and Z21 (Fig. 6). The results show that there is more diversity within Main Values as within Additional Values.

Figure 6 Matrix distribution of tourist caves in Slovenia according to Main and Additional Values of the M-GAM model.
Figure 6

Matrix distribution of tourist caves in Slovenia according to Main and Additional Values of the M-GAM model.

A group of five Z22-classified caves reached in average the highest rates for Main and Additional Values. Considering individual indicators of M-GAM model (Figs. 5 and 6), both most visited tourist caves reached the highest Touristic values: the Postojna Cave (4.46) and Škocjan Caves (4.29). Among all caves, Škocjan Caves have the highest Scenic and aesthetic values (2.21) and the Postojna Cave reached the highest Protection values (3.38). Thus, they can be considered as hot spot destinations for “general” geotourists. The remaining three caves in the group have less developed tourism infrastructure, tourism products and promotion, thus it was expected that the Postojna Cave and Škocjan Caves would gain relatively higher M-GAM values.

Since 2010 the Postojna Cave is managed by a private company, which is investing a lot in the development of new tourism products (e.g., adventure products), promotion of cave science (e.g., the birth of Proteus anguinus) and international promotion (e.g., by focusing on summer tourists in Croatian coastal destinations). Recently the “geosite area” has been extended and renamed to Postojna Cave Park destination, which includes surrounding natural karst phenomena (e.g., Predjama Cave, Pivka Cave), relevant cultural heritage sites (e.g., Predjama Cave Castle) and some supporting tourism products. The management of cave tourism in the context of a park destination has been previously used in nearby Škocjan Caves (the Škocjan Caves Regional Park) and proved to be an example of good practice from which also local tourism stakeholders and inhabitants can benefit.

Škocjan Caves are under the management of the Škocjan Caves Public Service Agency since 1996. The concentration of speleological and geomorphological features (e.g. blind valley, deep underground canyon, collapsed dolines, unroofed caves, dolines) lead to the inscription on the UNESCO World Heritage List in 1986 [43]. M-GAM values reflect the orientation in sustainable tourism.

The further increase of cave visitors in the Postojna Cave and Škocjan Caves could also have a negative impact on karst phenomena such as increase of temperature and carbon dioxide levels [56, 57, 58], raise of airborne bacteria in a cave [59] and aerosol particles [60]. Further development of geotourism, thus have to consider the carrying capacity of these geosite destinations. The main tourism concern of both leading tourist caves is to provide such tourism products that will diminish negative effects of cave tourism (e.g. optimization of tourist groups, minimize the effects of renovation works) and extend the duration of tourists stay in the destination, e.g., through the connection with other tourism stakeholders.

The Kostanjevica Cave is under the management of a local caving club and according to M-GAM Additional Values, the cave is rated as third (5.62) and first among Functional values (2.46) (Figs. 5 and 6). Although distant from “classical karst” destinations in SW Slovenia, this cave has a relatively long history of cave tourism. Being located near the town of Kostanjevica na Krki with rich cultural and natural heritage, it is an addition to the local tourist offer. One of the main drivers for higher number of visitors is the proximity of the Čatež Spa, from where tourists make a one-day trip to Kostanjevica na Krki. Relatively low Protection values derive from the fact, that some parts of tourist paths affected the morphology of cave passages.

The Divača Cave is under the management of a local caving society. M-GAM values express relatively high Additional Values (5.30), above average (Table 3). The vicinity of Škocjan Caves offers opportunities for common tourism products and promotion. The opportunity is also in an emerging UNESCO Geopark Kras that will connect local communities (municipalities) of the region. The particularity of the cave is in its rich history of interesting and famous visitors.

The Pekel Cave is under the management of a local tourist society that also manages other tourist attractions in the vicinity. As the rest of Z22 caves, the Pekel Cave has high Scientific and educational values (3.07) as well as Scenic and aesthetic values (2.01), yet there is a need for the improvement of Additional Values. Investments in tourism infrastructure and promotion would improve the development of this geotourism destination. Another opportunity is the establishment of a broader geotourism park destination with the inclusion of the cave, as is the example of the leading tourist caves.

A group of five Z21-classified caves reached the highest rates for Main Values but lower for Additional Values. Accordingly, these caves should take an advantage of having good natural predispositions and are not yet damaged by human impacts. They should become hot spot destinations for “pure” geotourists that do not demand welldeveloped tourism infrastructure. The Županova Cave is in the second place regarding Protection values (2.96), while the Križna Cave is the most valued Scientific and educational cave in Slovenia (3.26).

Although, other three caves did not reach important M-GAM values, they are important regarding some specific karst phenomena. The Snežna Cave is one amongst 60 ice caves in Slovenia [26] and as such an important site for the reconstruction of paleoenvironment. Further development of these speleodestinations should be based on small groups of visitors led by educated local tourist guides.

The Vilenica Cave and the Dimnice Cave are under the management of local caving societies and have the potential to be included in the future Geopark Kras. Thus, their primary focus should be in the integration into this geopark. The Vilenica Cave has been known as the first tourist cave in the world. Over thirty years, the Vilenica Cave has been hosting the Vilenica International Literary Festival. The Dimnice Cave is famous for its mist that due to the circulation of warmer air in the colder period of the year appears at the entrance.

Similar study was recently performed in Serbia [55]. In comparison with Serbian tourist caves, Slovenian tourist caves reached higher Additional Values, which may be connected with human interventions and the level of tourism infrastructure. This is a consequence of longer cave tourism tradition and the vicinity of bigger tourist destinations and especially the direct connection to main tourist flows from Western and Central Europe towards the Mediterranean (Adriatic Sea).

By comparing two matrices (Fig. 7) it is evident that Z21 and Z22 are the only two fields in the matrix that were, by now, relevant for studied destinations.

Figure 7 Matrix distribution of Slovenian (in blueish and greyish colours) and Serbian tourist caves (reddish colours; adapted from [55]) according to Main and Additional Values of the M-GAM model.
Figure 7

Matrix distribution of Slovenian (in blueish and greyish colours) and Serbian tourist caves (reddish colours; adapted from [55]) according to Main and Additional Values of the M-GAM model.

4 Conclusion

Geotourism destinations included in the study experienced very diverse development processes. The reason for this is the influence of very heterogeneous factors. The aim was to recognize the level of the diversity in geotourism development and to define the weaknesses and opportunities of smaller less developed touristic caves in relation to already developed cave tourism destinations (e.g., the Postojna Cave, Škocjan Caves).

According to M-GAM, cave tourists in Slovenia are more “pure” than “general” geotourists as they give much less importance to the human-induced values and they mostly appreciate the natural values of a geosite. They prefer geosites without major tourism infrastructure (only basic) and pay more attention to the protection of these sites.

By using the M-GAM model, we proved the leading geotourism role of the Postojna Cave and Škocjan Caves. However, we expected that both caves would be ranked higher in the matrix. Considering the number of visitors, developed of tourism infrastructure and especially high scientific and world geoheritage value (e.g., UNESCO), we would expect the position from Z31 to Z33 which would indicate high Main Values. According to this, some other evaluation models should be tested for studied caves and compared with the present results. Nevertheless, the good practice of Škocjan Caves that are managed within a regional park that includes many karst geosites, should be transmitted to other caves, especially those that are currently managed by local cave societies or local tourist societies and should be included a broader geo-destination, e.g., protected area, coastal destination, geopark.

Results of the study presented some weaknesses of individual tourist caves (e.g., interpretative boards, poor promotion) that have to be addressed by the managers of tourist caves in order to properly accommodate the expectations of visitors.

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Received: 2018-03-13
Accepted: 2018-06-28
Published Online: 2018-08-11

© 2018 J. Tičar et al., published by De Gruyter

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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  28. Speleotourism in Slovenia: balancing between mass tourism and geoheritage protection
  29. Attractiveness of protected areas for geotourism purposes from the perspective of visitors: the example of Babiogórski National Park (Poland)
  30. Implementation of Heat Maps in Geographical Information System – Exploratory Study on Traffic Accident Data
  31. Mapping War Geoheritage: Recognising Geomorphological Traces of War
  32. Numerical limitations of the attainment of the orientation of geological planes
  33. Assessment of runoff nitrogen load reduction measures for agricultural catchments
  34. Awheel Along Europe’s Rivers: Geoarchaeological Trails for Cycling Geotourists
  35. Simulation of Carbon Isotope Excursion Events at the Permian-Triassic Boundary Based on GEOCARB
  36. Morphometry of lunette dunes in the Tirari Desert, South Australia
  37. Multi-spectral and Topographic Fusion for Automated Road Extraction
  38. Ground-motion prediction equation and site effect characterization for the central area of the Main Syncline, Upper Silesia Coal Basin, Poland
  39. Dilatancy as a measure of fracturing development in the process of rock damage
  40. Error-bounded and Number-bounded Approximate Spatial Query for Interactive Visualization
  41. The Significance of Megalithic Monuments in the Process of Place Identity Creation and in Tourism Development
  42. Analysis of landslide effects along a road located in the Carpathian flysch
  43. Lithological mapping of East Tianshan area using integrated data fused by Chinese GF-1 PAN and ASTER multi-spectral data
  44. Evaluating the CBM reservoirs using NMR logging data
  45. The trends in the main thalweg path of selected reaches of the Middle Vistula River, and their relationships to the geological structure of river channel zone
  46. Lithostratigraphic Classification Method Combining Optimal Texture Window Size Selection and Test Sample Purification Using Landsat 8 OLI Data
  47. Effect of the hydrothermal activity in the Lower Yangtze region on marine shale gas enrichment: A case study of Lower Cambrian and Upper Ordovician-Lower Silurian shales in Jiangye-1 well
  48. Modified flash flood potential index in order to estimate areas with predisposition to water accumulation
  49. Quantifying the scales of spatial variation in gravel beds using terrestrial and airborne laser scanning data
  50. The evaluation of geosites in the territory of National park „Kopaonik“(Serbia)
  51. Combining multi-proxy palaeoecology with natural and manipulative experiments — XLII International Moor Excursion to Northern Poland
  52. Dynamic Reclamation Methods for Subsidence Land in the Mining Area with High Underground Water Level
  53. Loess documentary sites and their potential for geotourism in Lower Silesia (Poland)
  54. Equipment selection based on two different fuzzy multi criteria decision making methods: Fuzzy TOPSIS and fuzzy VIKOR
  55. Land deformation associated with exploitation of groundwater in Changzhou City measured by COSMO-SkyMed and Sentinel-1A SAR data
  56. Gas Desorption of Low-Maturity Lacustrine Shales, Trassic Yanchang Formation, Ordos Basin, China
  57. Feasibility of applying viscous remanent magnetization (VRM) orientation in the study of palaeowind direction by loess magnetic fabric
  58. Sensitivity evaluation of Krakowiec clay based on time-dependent behavior
  59. Effect of limestone and dolomite tailings’ particle size on potentially toxic elements adsorption
  60. Diagenesis and rock properties of sandstones from the Stormberg Group, Karoo Supergroup in the Eastern Cape Province of South Africa
  61. Using cluster analysis methods for multivariate mapping of traffic accidents
  62. Geographic Process Modeling Based on Geographic Ontology
  63. Soil Disintegration Characteristics of Collapsed Walls and Influencing Factors in Southern China
  64. Evaluation of aquifer hydraulic characteristics using geoelectrical sounding, pumping and laboratory tests: A case study of Lokoja and Patti Formations, Southern Bida Basin, Nigeria
  65. Petrography, modal composition and tectonic provenance of some selected sandstones from the Molteno, Elliot and Clarens Formations, Karoo Supergroup, in the Eastern Cape Province, South Africa
  66. Deformation and Subsidence prediction on Surface of Yuzhou mined-out areas along Middle Route Project of South-to-North Water Diversion, China
  67. Abnormal open-hole natural gamma ray (GR) log in Baikouquan Formation of Xiazijie Fan-delta, Mahu Depression, Junggar Basin, China
  68. GIS based approach to analyze soil liquefaction and amplification: A case study in Eskisehir, Turkey
  69. Analysis of the Factors that Influence Diagenesis in the Terminal Fan Reservoir of Fuyu Oil Layer in the Southern Songliao Basin, Northeast China
  70. Gravity Structure around Mt. Pandan, Madiun, East Java, Indonesia and Its Relationship to 2016 Seismic Activity
  71. Simulation of cement raw material deposits using plurigaussian technique
  72. Application of the nanoindentation technique for the characterization of varved clay
  73. Verification of compressibility and consolidation parameters of varved clays from Radzymin (Central Poland) based on direct observations of settlements of road embankment
  74. An enthusiasm for loess: Leonard Horner in Bonn and Liu Tungsheng in Beijing
  75. Limit Support Pressure of Tunnel Face in Multi-Layer Soils Below River Considering Water Pressure
  76. Spatial-temporal variability of the fluctuation of water level in Poyang Lake basin, China
  77. Modeling of IDF curves for stormwater design in Makkah Al Mukarramah region, The Kingdom of Saudi Arabia
Heruntergeladen am 7.9.2025 von https://www.degruyterbrill.com/document/doi/10.1515/geo-2018-0027/html
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