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Adaptive Capacity and Traps

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dc.contributor.author Carpenter, Stephen en_US
dc.contributor.author Brock, William A. en_US
dc.date.accessioned 2009-07-31T14:54:46Z
dc.date.available 2009-07-31T14:54:46Z
dc.date.issued 2008 en_US
dc.date.submitted 2009-02-10 en_US
dc.date.submitted 2009-02-10 en_US
dc.identifier.uri https://hdl.handle.net/10535/2880
dc.description.abstract "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 to solve problems. In the model, too little control impedes the focus needed for adaptation. Fluctuations of internal demand or external shocks generate pulses of adaptive capacity, which may gain traction and pull the system out of the poverty trap. The model suggests some general properties of traps in social-ecological systems. It is general and flexible, so it can be used as a building block in more specific and detailed models of adaptive capacity for a particular region." en_US
dc.subject adaptation en_US
dc.subject modeling en_US
dc.subject poverty en_US
dc.subject resilience en_US
dc.subject social-ecological systems en_US
dc.title Adaptive Capacity and Traps en_US
dc.type Journal Article en_US
dc.type.published published en_US
dc.subject.sector General & Multiple Resources en_US
dc.identifier.citationjournal Ecology and Society en_US
dc.identifier.citationvolume 13 en_US
dc.identifier.citationnumber 2 en_US
dc.identifier.citationmonth January en_US


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