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Modelling of Carrying Capacity in National Park – Fruška Gora (Serbia) case study

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2017
bitstream_3222.pdf (1.496Mb)
Authors
Vujko, Aleksandra
Plavša, Jovan
Petrović, Marko D.
Radovanović, Milan M.
Gajić, Tamara
Article (Published version)
,
Authors
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Abstract
Negative effects of tourism development in a destination are usually the consequence of the high concentration of tourists, accommodation facilities and the activities that are practiced in a relatively restricted area. One of the most important measures to protect the areas is to calculate the maximum number of tourists that can simultaneously reside in a region, i.e. the determination of the carrying capacity. This paper outlines a method for determining carrying capacity based on zoning of environmental resources and zoning within a region. The paper argues for a return to the idea of identifying maximum appropriate number of users. The main hypothesis of the paper is based on the statement that the development of tourism in Fruška Gora (Mountain) National Park in Northern Serbia must be in accordance with the basic principles of sustainability, including the determination of carrying capacity. The main research goal was to show the opinion of local residents about the uncontrolled ...development of tourism, and to determine the carrying capacity in four sports and recreational zones of the mountain. The carrying capacity of the area is calculated by Lavery and Stanev formulas.

Keywords:
carrying capacity / zoning / sustainability / tourism / Fruška Gora National Park
Source:
Open Geosciences, 2017, 9, 1, 61-72
Publisher:
  • De Gruyter
Funding / projects:
  • Geography of Serbia (RS-47007)

DOI: 10.1515/geo-2017-0005

ISSN: 2391-5447 (Online)

WoS: 000401250600005

Scopus: 2-s2.0-85016028512
[ Google Scholar ]
15
7
Handle
https://hdl.handle.net/21.15107/rcub_dais_1081
URI
https://dais.sanu.ac.rs/123456789/1081
Collections
  • ГИ САНУ - Радови истраживача / GI SASA - Researchers' publications
Institution/Community
Географски институт „Јован Цвијић“ САНУ / Geographical Institute Jovan Cvijić SASA
TY  - JOUR
AU  - Vujko, Aleksandra
AU  - Plavša, Jovan
AU  - Petrović, Marko D.
AU  - Radovanović, Milan M.
AU  - Gajić, Tamara
PY  - 2017
UR  - https://dais.sanu.ac.rs/123456789/1081
AB  - Negative effects of tourism development in a destination are usually the consequence of the high concentration of tourists, accommodation facilities and the activities that are practiced in a relatively restricted area. One of the most important measures to protect the areas is to calculate the maximum number of tourists that can simultaneously reside in a region, i.e. the determination of the carrying capacity. This paper outlines a method for determining carrying capacity based on zoning of environmental resources and zoning within a region. The paper argues for a return to the idea of identifying maximum appropriate number of users. The main hypothesis of the paper is based on the statement that the development of tourism in Fruška Gora (Mountain) National Park in Northern Serbia must be in accordance with the basic principles of sustainability, including the determination of carrying capacity. The main research goal was to show the opinion of local residents about the uncontrolled development of tourism, and to determine the carrying capacity in four sports and recreational zones of the mountain. The carrying capacity of the area is calculated by Lavery and Stanev formulas.
PB  - De Gruyter
T2  - Open Geosciences
T1  - Modelling of Carrying Capacity in National Park – Fruška Gora (Serbia) case study
SP  - 61
EP  - 72
VL  - 9
IS  - 1
DO  - 10.1515/geo-2017-0005
UR  - https://hdl.handle.net/21.15107/rcub_dais_1081
ER  - 
@article{
author = "Vujko, Aleksandra and Plavša, Jovan and Petrović, Marko D. and Radovanović, Milan M. and Gajić, Tamara",
year = "2017",
abstract = "Negative effects of tourism development in a destination are usually the consequence of the high concentration of tourists, accommodation facilities and the activities that are practiced in a relatively restricted area. One of the most important measures to protect the areas is to calculate the maximum number of tourists that can simultaneously reside in a region, i.e. the determination of the carrying capacity. This paper outlines a method for determining carrying capacity based on zoning of environmental resources and zoning within a region. The paper argues for a return to the idea of identifying maximum appropriate number of users. The main hypothesis of the paper is based on the statement that the development of tourism in Fruška Gora (Mountain) National Park in Northern Serbia must be in accordance with the basic principles of sustainability, including the determination of carrying capacity. The main research goal was to show the opinion of local residents about the uncontrolled development of tourism, and to determine the carrying capacity in four sports and recreational zones of the mountain. The carrying capacity of the area is calculated by Lavery and Stanev formulas.",
publisher = "De Gruyter",
journal = "Open Geosciences",
title = "Modelling of Carrying Capacity in National Park – Fruška Gora (Serbia) case study",
pages = "61-72",
volume = "9",
number = "1",
doi = "10.1515/geo-2017-0005",
url = "https://hdl.handle.net/21.15107/rcub_dais_1081"
}
Vujko, A., Plavša, J., Petrović, M. D., Radovanović, M. M.,& Gajić, T.. (2017). Modelling of Carrying Capacity in National Park – Fruška Gora (Serbia) case study. in Open Geosciences
De Gruyter., 9(1), 61-72.
https://doi.org/10.1515/geo-2017-0005
https://hdl.handle.net/21.15107/rcub_dais_1081
Vujko A, Plavša J, Petrović MD, Radovanović MM, Gajić T. Modelling of Carrying Capacity in National Park – Fruška Gora (Serbia) case study. in Open Geosciences. 2017;9(1):61-72.
doi:10.1515/geo-2017-0005
https://hdl.handle.net/21.15107/rcub_dais_1081 .
Vujko, Aleksandra, Plavša, Jovan, Petrović, Marko D., Radovanović, Milan M., Gajić, Tamara, "Modelling of Carrying Capacity in National Park – Fruška Gora (Serbia) case study" in Open Geosciences, 9, no. 1 (2017):61-72,
https://doi.org/10.1515/geo-2017-0005 .,
https://hdl.handle.net/21.15107/rcub_dais_1081 .

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