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Developing ecotourism sustainability maximization (ESM) model: a safe minimum standard for climate change mitigation in the Indian Himalayas.
- Source :
- Environmental Monitoring & Assessment; Dec2022, Vol. 194 Issue 12, p1-21, 21p
- Publication Year :
- 2022
-
Abstract
- Recently, ecotourism has been identified as an adaptation strategy for mitigating climate change impacts, as it can optimize carbon sequestration, biodiversity recovery, and livelihood benefits and generate new opportunities for the sustenance of the economy, environment, and society of the area endowed with natural resources and cultural values. With the growing responsibility at the global level, ecotourism resource management (ERM) becomes inevitable for its sustainable requirements. The integration of ecological and socio-economic factors is vital for ERM, as has been demonstrated by developing an Ecotourism Sustainability Maximization Model for an area under study, that is the Yuksam-Dzongri corridor (also known as Kangchendzonga Base Camp Trek), in the Khangchendzonga Biosphere Reserve (KBR), Sikkim, India. This model is based on the earlier developed ecotourism sustainability assessment (ESA) framework by the authors, which is based on the hierarchical relationship among ecotourism principles, criteria, indicators, and verifiers. Employing such relationships, this paper attempts to maximize ecotourism sustainability (ES) as a function of its sustainability principles, criteria, indicators, and verifiers, subject to the constraints identified through the safe minimum standard (SMS) approach by employing linear programming. Using 58 indicators as decision variables and 114 constraints, the model resulted in a maximum level of achievable ES with a score of 84.6%, allowing the resultant optimum values of the indicators to be maintained at the operational level. A central tenet of the model is the collective responsibility and adoption of a holistic approach involving the government, tourists, tourism enterprises, and local people. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 01676369
- Volume :
- 194
- Issue :
- 12
- Database :
- Complementary Index
- Journal :
- Environmental Monitoring & Assessment
- Publication Type :
- Academic Journal
- Accession number :
- 160255915
- Full Text :
- https://doi.org/10.1007/s10661-022-10548-0