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Examining Fire-Prone Forest Landscapes as Coupled Human and Natural Systems

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dc.contributor.author Spies, Thomas A.
dc.contributor.author White, Eric M.
dc.contributor.author Kline, Jeffret D.
dc.contributor.author Fischer, Paige A.
dc.contributor.author Ager, Alan
dc.contributor.author Bailey, John
dc.contributor.author Bolte, John
dc.contributor.author Koch, Jennifer
dc.contributor.author Platt, Emily
dc.contributor.author Olsen, Christine S.
dc.contributor.author Jacobs, Derric
dc.contributor.author Shindler, Bruce
dc.contributor.author Steen-Adams, Michelle M.
dc.contributor.author Hammer, Roger
dc.date.accessioned 2015-03-30T19:48:05Z
dc.date.available 2015-03-30T19:48:05Z
dc.date.issued 2014 en_US
dc.identifier.uri https://hdl.handle.net/10535/9689
dc.description.abstract "Fire-prone landscapes are not well studied as coupled human and natural systems (CHANS) and present many challenges for understanding and promoting adaptive behaviors and institutions. Here, we explore how heterogeneity, feedbacks, and external drivers in this type of natural hazard system can lead to complexity and can limit the development of more adaptive approaches to policy and management. Institutions and social networks can counter these limitations and promote adaptation. We also develop a conceptual model that includes a robust characterization of social subsystems for a fire-prone landscape in Oregon and describe how we are building an agent-based model to promote understanding of this social-ecological system. Our agent-based model, which incorporates existing ecological models of vegetation and fire and is based on empirical studies of landowner decision-making, will be used to explore alternative management and fire scenarios with land managers and various public entities. We expect that the development of CHANS frameworks and the application of a simulation model in a collaborative setting will facilitate the development of more effective policies and practices for fire-prone landscapes." en_US
dc.language English en_US
dc.subject fire protection en_US
dc.subject agent-based computational economics en_US
dc.title Examining Fire-Prone Forest Landscapes as Coupled Human and Natural Systems en_US
dc.type Journal Article en_US
dc.type.published published en_US
dc.type.methodology Modeling en_US
dc.coverage.region North America en_US
dc.coverage.country United States en_US
dc.subject.sector Land Tenure & Use en_US
dc.identifier.citationjournal Ecology and Society en_US
dc.identifier.citationvolume 19 en_US
dc.identifier.citationnumber 3 en_US
dc.identifier.citationmonth September en_US

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