Environmental Consequences of Wildlife Tourism: The Use of Formalised Qualitative Models

The paper presents a simple qualitative model of environmental consequences of wildlife tourism. Qualitative models use just three values: Positive/Increasing, Zero/Constant and Negative/Decreasing. Such quantifiers of trends are the least information intensive. Qualitative models can be useful, sin...

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Main Authors: Veselý Štěpán, Dohnal Mirko
Format: Article
Language:English
Published: Sciendo 2015-09-01
Series:Ekológia (Bratislava)
Subjects:
Online Access:https://doi.org/10.1515/eko-2015-0025
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spelling doaj-0c1e2b9e932e4543b2f8f710097ff2572021-09-05T20:44:47ZengSciendoEkológia (Bratislava)1337-947X2015-09-0134326026710.1515/eko-2015-0025eko-2015-0025Environmental Consequences of Wildlife Tourism: The Use of Formalised Qualitative ModelsVeselý Štěpán0Dohnal Mirko1Department of Economics, Faculty of Business and Management, Brno University of Technology, Kolejní 4, 612 00 Brno, Czech RepublicDepartment of Economics, Faculty of Business and Management, Brno University of Technology, Kolejní 4, 612 00 Brno, Czech RepublicThe paper presents a simple qualitative model of environmental consequences of wildlife tourism. Qualitative models use just three values: Positive/Increasing, Zero/Constant and Negative/Decreasing. Such quantifiers of trends are the least information intensive. Qualitative models can be useful, since models of wildlife tourism include such variables as, for example, Biodiversity (BIO), Animals’ habituation to tourists (HAB) or Plant composition change (PLA) that are sometimes difficult or costly to quantify. Hence, a significant fraction of available information about wildlife tourism and its consequences is not of numerical nature, for example, if HAB is increasing then BIO is decreasing. Such equationless relations are studied in this paper. The model has 10 variables and 20 equationless pairwise interrelations among them. The model is solved and 15 solutions, that is, scenarios are obtained. All qualitative states, including the first and second qualitative derivatives with respect to time, of all variables are specified for each scenario.https://doi.org/10.1515/eko-2015-0025tourismhuman impactformalisationqualitative modelmultidimensional modelscenarios
collection DOAJ
language English
format Article
sources DOAJ
author Veselý Štěpán
Dohnal Mirko
spellingShingle Veselý Štěpán
Dohnal Mirko
Environmental Consequences of Wildlife Tourism: The Use of Formalised Qualitative Models
Ekológia (Bratislava)
tourism
human impact
formalisation
qualitative model
multidimensional model
scenarios
author_facet Veselý Štěpán
Dohnal Mirko
author_sort Veselý Štěpán
title Environmental Consequences of Wildlife Tourism: The Use of Formalised Qualitative Models
title_short Environmental Consequences of Wildlife Tourism: The Use of Formalised Qualitative Models
title_full Environmental Consequences of Wildlife Tourism: The Use of Formalised Qualitative Models
title_fullStr Environmental Consequences of Wildlife Tourism: The Use of Formalised Qualitative Models
title_full_unstemmed Environmental Consequences of Wildlife Tourism: The Use of Formalised Qualitative Models
title_sort environmental consequences of wildlife tourism: the use of formalised qualitative models
publisher Sciendo
series Ekológia (Bratislava)
issn 1337-947X
publishDate 2015-09-01
description The paper presents a simple qualitative model of environmental consequences of wildlife tourism. Qualitative models use just three values: Positive/Increasing, Zero/Constant and Negative/Decreasing. Such quantifiers of trends are the least information intensive. Qualitative models can be useful, since models of wildlife tourism include such variables as, for example, Biodiversity (BIO), Animals’ habituation to tourists (HAB) or Plant composition change (PLA) that are sometimes difficult or costly to quantify. Hence, a significant fraction of available information about wildlife tourism and its consequences is not of numerical nature, for example, if HAB is increasing then BIO is decreasing. Such equationless relations are studied in this paper. The model has 10 variables and 20 equationless pairwise interrelations among them. The model is solved and 15 solutions, that is, scenarios are obtained. All qualitative states, including the first and second qualitative derivatives with respect to time, of all variables are specified for each scenario.
topic tourism
human impact
formalisation
qualitative model
multidimensional model
scenarios
url https://doi.org/10.1515/eko-2015-0025
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