Besides describing the case study, this chapter discusses the challenges and opportunities of linking large-scale spatial modeling results to local-level management and adaptation planning. Challenges arise first from the process of modeling and input data characteristics that manifest as questions of scale and uncertainty. Secondly, the process of distributing the results for the relevant stakeholders (if identified and reached) can turn out to be tricky. Opportunities exist if attention is given to impact of scale and unit of analysis in (especially spatial) data ensuring best applicability in local-scale management. Also improving information management with a systematic approach in identifying knowledge gaps and synthesizing existing information is crucial for improving linkages between researchers, policy-makers, and local decision-makers. Finally, modeling should be developed toward acknowledging the value of the process of modeling rather than the actual results. This would provide possibilities for translating the increasing amounts of information into understanding among the relevant stakeholders.
Salmivaara, A. (2012), "Chapter 10 Myanmar: Assessing Freshwater Vulnerability in the Irrawaddy and Salween River Basins", Lamadrid, A. and Kelman, I. (Ed.) Climate Change Modeling For Local Adaptation In The Hindu Kush-Himalayan Region (Community, Environment and Disaster Risk Management, Vol. 11), Emerald Group Publishing Limited, Bingley, pp. 177-206. https://doi.org/10.1108/S2040-7262(2012)0000011016Download as .RIS
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