Green Tourism As A Post-Disaster Recovery And Ecosystem Rehabilitation Strategy: A Case Study Of The November 2025 Sumatra Flash Flood Disaster
Kata Kunci:
green tourism, ecosystem rehabilitation, deforestation, sustainable tourism, community-based tourism, climate resillienceAbstrak
Purpose: This study analyzes the potential of green tourism as a post-disaster recovery strategy and ecosystem rehabilitation approach in Sumatra Island, particularly following the November 2025 flash flood disaster that devastated Aceh, North Sumatra, and West Sumatra provinces.
Methods: The research employs a descriptive-analytical approach utilizing secondary data analysis from multiple sources including the Ministry of Environment and Forestry, National Disaster Management Agency (BNPB), World Bank, and internationally reputable academic journals indexed in Scopus Q1 and Q2. Comparative analysis was conducted on tourism-based forest rehabilitation models across various countries.
Findings: Results indicate that massive deforestation (3.86 million hectares during 1998-2020) constitutes a critical factor exacerbating disaster impacts. Green tourism offers a new paradigm integrating ecological rehabilitation, community economic empowerment, and disaster prevention. Five implementation models were identified: eco-tourism rehabilitation zones, community-based forest tourism, carbon tourism with corporate partnerships, digital monitoring for transparency, and integrated watershed tourism.
Implications: The research provides comprehensive policy recommendations including a moratorium on forest area releases, minimum rehabilitation budget allocation of IDR 5 trillion annually, establishment of cross-sectoral rehabilitation agencies, fiscal incentives for sustainable tourism enterprises, and optimization of international climate funding mechanisms.
Originality: This research provides an original contribution by integrating sustainable tourism perspectives, disaster management frameworks, and ecosystem rehabilitation approaches within a unified analytical framework that has not been comprehensively examined in prior literature.
Referensi
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