Aufsatz(elektronisch)17. August 2017

Narrative as a Method for Eliciting Tacit Knowledge of Climate Variability in Bangladesh

In: Weather, climate & society, Band 9, Heft 4, S. 669-686

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Abstract

Abstract
Climate change adaptation has increasingly come to be conceptualized as a place-based social process, in large part mediated by the local cultural context. The specificity of adaptation has called for partnerships between scientific and local communities to "co-produce" knowledge of climate variability (weather) and longer-term climate change. However, this raises numerous methodological challenges, including how to elicit the representations, knowledge, and cultural meanings of weather that are tacit to people in a community, and represent them in an explicit form that can be shared in a process of "co-production". Such work demands careful attention to the way tightly intertwined knowledge systems continuously rebuild representations of climate in a place, and how these knowledge systems are also intertwined with values and the exercise of power. This paper takes up this challenge and explores the potential offered by theories and methods of narrative. Looking at a research project "co-producing" knowledge of weather and impacts in northeast Bangladesh, this paper describes the experience of running narrative interviews with communities there, and how these narratives were analyzed along four themes to contribute to the co-production process. These themes included 1) the weather phenomena and impacts important to local communities, 2) how weather provides meaning and identity in that place, 3) how community actors produce and share weather knowledge, and 4) the climate-related narratives pervading the community. In sharing this experience, this paper seeks to fulfil a demand for more detailed practical accounts of narrative methods in climate adaptation research, particularly for knowledge co-production.

Sprachen

Englisch

Verlag

American Meteorological Society

ISSN: 1948-8335

DOI

10.1175/wcas-d-17-0007.1

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