2010
DOI: 10.1007/s11077-010-9121-3
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A social-ecological approach to voluntary environmental initiatives: the case of nature-based tourism

Abstract: Social-ecological systems, Voluntary environmental initiatives, Tourism, Governance,

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Cited by 33 publications
(20 citation statements)
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References 51 publications
(103 reference statements)
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“…Nevertheless, it has been applied to diverse settings including the study of forests (Fleischman et al 2010), fisheries (Basurto and Ostrom 2009;Gutierrez et al 2011;Cinner et al 2012), water and irrigation (Madrigal et al 2011;Ostrom 2011b), and even nature-based tourism (Blanco 2011). This section explores how these studies have approached causation when applying the framework, and their use of the biophysical components of the framework (i.e.…”
Section: Applications Of the Ses Frameworkmentioning
confidence: 99%
“…Nevertheless, it has been applied to diverse settings including the study of forests (Fleischman et al 2010), fisheries (Basurto and Ostrom 2009;Gutierrez et al 2011;Cinner et al 2012), water and irrigation (Madrigal et al 2011;Ostrom 2011b), and even nature-based tourism (Blanco 2011). This section explores how these studies have approached causation when applying the framework, and their use of the biophysical components of the framework (i.e.…”
Section: Applications Of the Ses Frameworkmentioning
confidence: 99%
“…Some analyse tourism very narrowly, rather than being components/ interactions of the much larger SES within destinations (Blanco 2010). Araral (2013) considered tourism as one of the factors that is affecting the resilience of the Ifugao SES in the Northern Philippines.…”
Section: Theoretical Background: Common Pool Resources (Cprs) Socio-mentioning
confidence: 99%
“…To date, the SES framework has been used to study a wide range of systems, including forests, fi sheries, irrigation systems, and nature-based tourism (Fleischman et al 2010 ;Blanco 2011 ;Gutierrez et al 2011 ;Basurto and Nenadovic 2012 ;Cinner et al 2012 ;Basurto et al 2013 ). In adopting a common framework, these studies may advance knowledge more rapidly by generating observations on a common set of attributes that can be readily compared or integrated for large-n analysis.…”
Section: Overview Of the Ses Frameworkmentioning
confidence: 99%