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Ecological Modelling
Article . 2007 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Modelling socio-ecological tourism-based systems for sustainability

Authors: LACITIGNOLA, Deborah; PETROSILLO, IRENE; CATALDI M; ZURLINI, Giovanni;

Modelling socio-ecological tourism-based systems for sustainability

Abstract

The analysis of socio-ecological systems requires new, qualitatively distinct, evaluation schemes and appropriate investigation tools that enable an integrated assessment of ecological, social, and economic factors since human land use is a major force driving landscape change, landscape dynamics can be better understood in the context of complex social-ecological systems (SESs). Tourist resorts are deemed as socio-ecological systems, and tourism is a tool for development but could affect the quality of ecosystem goods and services since it could degrade natural renewable and non-renewable resources. In this paper we develop a minimal descriptive model of socio-ecological systems based on tourism, starting from the work of Casagrandi and Rinaldi [Casagrandi, R., Rinaldi, S., 2002. A theoretical approach to tourism sustainability. Conserv. Ecol. 6 (1), 13 (Online). URL: http://www.consecol.org/vol6/iss1/art33], and based on data from a real tourist destination in southern Italy. We develop the model focusing on the interplay among tourists (T), quality of ecosystem goods and services (E), and capital (C), intended as accommodation and entertainment facilities, to make the model more realistic, and to provide a tool for scenario building to support more effectively sustainable management of tourist destination. In particular, we focus on the interplay between tourism and ecosystem quality, distinguishing two main tourist typologies – mass and eco-tourists – and taking into account ecosystem quality in terms of ecosystem goods and services, with a time dependent function, and defining a degradation coefficient of tourist site to be used as a bifurcation parameter. We explore different scenarios, with regards to coexistence of tourist classes and equilibria stability, as generated by variation of the bifurcation parameter. Finally, we discuss the overall results in terms of basins of attraction and stability landscape, and system resilience together with their implications for sustainable tourist destination management.

Country
Italy
Keywords

Tourism Socio-ecological systems Modelling Ecosystem quality, Ecosystem quality; Modelling; Socio-ecological systems; Tourism

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
108
Top 1%
Top 10%
Top 10%
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