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Resilience of Coffee Communities - A hidden story of ethnic communities from Chiang Mai Province, Thailand

Aung, Thant Zin LU (2025) In Master Thesis Series in Environmental Studies and Sustainability Science MESM02 20251
LUCSUS (Lund University Centre for Sustainability Studies)
Abstract
This thesis explores the backgrounds and socio-ecological systems of ethnic communities in rapidly growing coffee destinations in Chiang Mai province, Thailand. Using a political ecology approach, it investigates the resilience of coffee-producing villages where ethnic minorities maintain unique cultures and identity. The study highlights ecological vulnerability and socio-political marginalisation providing multi-dimensional views of ethnic coffee communities. Employing qualitative methods, including observation and in-depth interviews, it examines land-use practices, agricultural management, and the impacts of conservation laws and traditional customs. The research captures local knowledge and perceptions of climate change, resilience,... (More)
This thesis explores the backgrounds and socio-ecological systems of ethnic communities in rapidly growing coffee destinations in Chiang Mai province, Thailand. Using a political ecology approach, it investigates the resilience of coffee-producing villages where ethnic minorities maintain unique cultures and identity. The study highlights ecological vulnerability and socio-political marginalisation providing multi-dimensional views of ethnic coffee communities. Employing qualitative methods, including observation and in-depth interviews, it examines land-use practices, agricultural management, and the impacts of conservation laws and traditional customs. The research captures local knowledge and perceptions of climate change, resilience, and adaptation strategies through observation and interviews with farmers, community members, and support institutions. By analysing the social and environmental conditions of these communities, the study addresses opportunities and challenges in implementing adaptation measures to strengthen resilience against the consequences of climate change. (Less)
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author
Aung, Thant Zin LU
supervisor
organization
course
MESM02 20251
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Adaptation Measures, Climate Change, Coffee, Community Resilience, Ethnic Communities, Political Ecology, sustainability science
publication/series
Master Thesis Series in Environmental Studies and Sustainability Science
report number
2025:003
language
English
id
9191448
date added to LUP
2025-06-03 10:12:45
date last changed
2025-06-03 10:12:45
@misc{9191448,
  abstract     = {{This thesis explores the backgrounds and socio-ecological systems of ethnic communities in rapidly growing coffee destinations in Chiang Mai province, Thailand. Using a political ecology approach, it investigates the resilience of coffee-producing villages where ethnic minorities maintain unique cultures and identity. The study highlights ecological vulnerability and socio-political marginalisation providing multi-dimensional views of ethnic coffee communities. Employing qualitative methods, including observation and in-depth interviews, it examines land-use practices, agricultural management, and the impacts of conservation laws and traditional customs. The research captures local knowledge and perceptions of climate change, resilience, and adaptation strategies through observation and interviews with farmers, community members, and support institutions. By analysing the social and environmental conditions of these communities, the study addresses opportunities and challenges in implementing adaptation measures to strengthen resilience against the consequences of climate change.}},
  author       = {{Aung, Thant Zin}},
  language     = {{eng}},
  note         = {{Student Paper}},
  series       = {{Master Thesis Series in Environmental Studies and Sustainability Science}},
  title        = {{Resilience of Coffee Communities - A hidden story of ethnic communities from Chiang Mai Province, Thailand}},
  year         = {{2025}},
}