Enhancing early warning in the light of migration and environmental shocks
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Sub-type Journal article Author Birkmann, Joern
Chang Seng, Denis
Setiadi, Neysa J.Title Enhancing early warning in the light of migration and environmental shocks Appearing in Environmental Science & Policy Volume 27 Publication Date 2012 Place of Publication Bonn Publisher Elsevier Start page 76 End page 88 Language eng Abstract Early Warning Systems (EWS) are key elements of risk reduction and adaptation strategies to extreme events. Until now, most EWS have focused mainly on hazard detection and the immediate warning and evacuation processes with an effort of saving lives in the context of an extreme event; however, in the light of climate change and migration more attention must also be paid to the question of how EWS can improve livelihood security. On the one hand, migration patterns, urbanization and population growth are important factors that will modify and in most cases increase exposure, and in some cases increase vulnerability. On the other hand, migration in the context of extreme events and sea level rise might also be an important adaptation strategy. The paper deals with the concept of people-centred early warning and examines how aspects of the so-called Last Mile can be better taken into account. In this regard, the framework conditions and the governance context of early warning are discussed and analysed. Strategies on how to enhance EWS are outlined, particularly regarding the nexus between migration, urbanization, daily mobility and early warning. Up to now, most EWS do not sufficiently consider migration and daily mobility patterns within the information or warning chain. Therefore, the paper examines the importance of migration, urbanization and daily mobility patterns for effective early warning. On the basis of this discussion, the paper identifies new challenges for early warning in the context of climate change and deals with the potential constraints of integrative EWS. Finally, the paper derives conclusions and recommendations on not only how to better account for migration in EWS, but also how to improve the consideration of early warning in migration and adaptation strategies.
Copyright Holder Elsevier Copyright Year 2012 Copyright type All rights reserved -
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