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Adaptive Understanding and Management for Floods.pdf

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/69225 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/69225 http://eprints.org/relation/isIndexCodesVersionOf https://pure.iiasa.ac.at/id/document/69225 archive 351 disk0/00/00/56/77 2016-01-15 02:10:40 2021-08-27 17:36:50 2016-01-15 02:10:40 article show Sendzimir J. 6152 Light S. Szymanowska K. pub iis_rsp prog_rmp Adaptive management, resource management, flooding, complexity, hierarchy, scale Resource management problems have so often defied prediction that surprise rather than certainty has become the common theme for embarrassed managers and theoreticians. The sources of uncertainty derive from our failure to grasp the structure and operation of complex systems: nested hierarchies that generate non-linear dynamics from within-scale and cross-scale interactions. We increasingly recognize that surprise and uncertainty are inevitable given that nature and society are moving targets with very complicated interactions at multiple scales. How can we practically address this uncertainty? We describe a process, Adaptive Environmental Assessment and Management (AEAM), that has developed over 30 years of experiments as a test of our abilities to integrate inquiry, understanding, and action in the face of surprising shifts in evolving resource systems. AEAM has been applied to resource management problems such as tourism, fisheries, forestries, mining and agriculture. We consider briefly AEAM’s application to river management problems in North America and discuss the potential to experiment with AEAM to address the interplay of ecological and economic problems in European river basins with a history of flooding. 1999 published XJ-99-081 Environments; 27(1):115-136 [1999] 277 public Environments 27 1 115-136 TRUE 0711-6780 FALSE no info:eu-repo/semantics/article