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Adaptive Capacity and Traps Ecology and Society
Carpenter, Stephen R; University of Wisconsin-Madison; srcarpen@wisc.edu; Brock, William A.; University of Wisconsin-Madison; WBrock@ssc.wisc.edu.
Adaptive capacity is the ability of a living system, such as a social–ecological system, to adjust responses to changing internal demands and external drivers. Although adaptive capacity is a frequent topic of study in the resilience literature, there are few formal models. This paper introduces such a model and uses it to explore adaptive capacity by contrast with the opposite condition, or traps. In a social–ecological rigidity trap, strong self-reinforcing controls prevent the flexibility needed for adaptation. In the model, too much control erodes adaptive capacity and thereby increases the risk of catastrophic breakdown. In a social–ecological poverty trap, loose connections prevent the mobilization of ideas and resources...
Tipo: Peer-Reviewed Insight Palavras-chave: Adaptation; Allostasis; Model; Poverty trap; Resilience; Rigidity trap; Transformation.
Ano: 2008
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The US Fire Learning Network: Springing a Rigidity Trap through Multiscalar Collaborative Networks Ecology and Society
Butler, William Hale; Florida State University; wbutler@fsu.edu; Goldstein, Bruce Evan; University of Colorado, Denver; brugomail@yahoo.com.
Wildland fire management in the United States is caught in a rigidity trap, an inability to apply novelty and innovation in the midst of crisis. Despite wide recognition that public agencies should engage in ecological fire restoration, fire suppression still dominates planning and management, and restoration has failed to gain traction. The U.S. Fire Learning Network (FLN), a multiscalar collaborative endeavor established in 2002 by federal land management agencies and The Nature Conservancy, offers the potential to overcome barriers that inhibit restoration planning and management. By circulating people, planning products, and information among landscape- and regional-scale collaboratives, this network has facilitated the development and dissemination of...
Tipo: Peer-Reviewed Reports Palavras-chave: Collaborative planning; Ecological fire restoration; Fire management; FLN; Learning networks; Multiscalar networks; Resilience; Rigidity trap; U.S. Fire Learning Network.
Ano: 2010
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