Tuesday 6
Critical Perspectives on ‘Knowledge for Adaptation' : The LKCCAP Project in the Kilimanjaro Region, Tanzania
Thomas Smucker
› 10:20 - 11:20 (1h)
› Rondelet
Critical Perspectives on ‘Knowledge for Adaptation': The LKCCAP Project in the Kilimanjaro Region, Tanzania
Thomas Smucker  1, *@  , Elizabeth Wangui  1@  , Jennifer Olson  2@  , Daniel Weiner  3@  
1 : Department of Geography, Ohio University  (OU)  -  Website
122 Clippinger Labs - Department of Geography Ohio University Athens, OH 45701 -  États-Unis
2 : Michigan State University  (MSU)  -  Website
446 Communication Arts & Sciences Building Michigan State University East Lansing, MI 48823 -  États-Unis
3 : University of Connecticut  (UConn)  -  Website
Office of Global Affairs University of Connecticut 368 Fairfield Way, Room 124 Storrs, CT 06269-4182 -  États-Unis
* : Corresponding author

Session chair: Daniel Weiner, University of Connecticut

Session type: Traditional

The potential role of different kinds of ‘knowledge for adaptation' – including local knowledge and expert climate knowledge - continues to attract the attention of scholars and development practitioners. Yet questions abound about the nature and epistemology of local knowledge systems, the possibilities for and obstacles to its integration with projections generated by climate models, and their potential role in community-based and planned adaptation. This session pursues these questions by drawing on research from the Local Knowledge and Climate Change Adaptation Project (LKCCAP), an interdisciplinary collaboration among US and Tanzania scientists to that examines the interactions between local knowledge systems and geographically uneven adaptive capacity to climate change along four altitudinal gradients in the Kilimanjaro Region of Tanzania. The contributions to this session address the interplay between local and external knowledge systems in the context of differentiated perceptions of and adaptive responses to climate change in rural Tanzania. It further addresses the potential and challenges for integrating climate modeling projections and local knowledge to inform adaptation strategies at multiple scales.

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