| Registro completo |
| Provedor de dados: |
Ecology and Society
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| País: |
Canada
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| Título: |
An information ecology approach to science–policy integration in adaptive management of social-ecological systems
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| Autores: |
Eddy, Brian G; Atlantic Forestry Centre, Natural Resources Canada; Brian.Eddy@NRCan.gc.ca
Hearn, Brian; Atlantic Forestry Centre, Natural Resources Canada; Brian.Hearn@NRCan-RNCan.gc.ca
Luther, Joan E; Atlantic Forestry Centre, Natural Resources Canada; JoanE.Luther@NRCan-RNCan.gc.ca
van Zyll de Jong, Michael; Environmental Policy Institute, Grenfell Campus, Memorial University of Newfoundland; michaelv@grenfell.mun.ca
Bowers, Wade; Environmental Policy Institute, Grenfell Campus, Memorial University of Newfoundland; wbowers@grenfell.mun.ca
Parsons, Reg; Atlantic Forestry Centre, Natural Resources Canada; Reg.Parsons@NRCan-RNCan.gc.ca
Piercey, Douglas; Atlantic Forestry Centre, Natural Resources Canada; Douglas.Piercey@NRCan-RNCan.gc.ca
Strickland, Guy; Atlantic Forestry Centre, Natural Resources Canada; Guy.Strickland@NRCan-RNCan.gc.ca
Wheeler, Barry; Atlantic Forestry Centre, Natural Resources Canada; Barry.Wheeler@NRCan-RNCan.gc.ca
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| Data: |
2014-09-11
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| Ano: |
2014
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| Palavras-chave: |
Adaptive management
Ecosystems-based management
Holons
Information ecology
Information theory
Science–
Policy integration
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| Resumo: |
Adaptive management of social-ecological systems requires integration and collaboration among scientists, policy makers, practitioners, and stakeholders across multiple disciplines and organizations. Challenges associated with such integration have been attributed to gaps between how human systems are organized and how ecosystems function. To address this gap, we explore the application of information ecology as a theoretical basis for integrating human systems and natural systems. First, we provide an overview of information ecology with reference to its relationship with information theory and how we define “information.” Principles governing whole-part relationships, i.e., holons and holarchies, are then used to develop a general information flow model for evolutionary, complex adaptive systems. This general model is then applied to examine a number of issues related to science–policy integration and in the development of a reference framework for practical application in adaptive management. A number of additional considerations for practical use of the framework are also discussed.
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| Tipo: |
Peer-Reviewed Synthesis
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| Idioma: |
Inglês
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| Identificador: |
vol19/iss3/art40/
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| Editor: |
Resilience Alliance
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| Formato: |
text/html application/pdf
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| Fonte: |
Ecology and Society; Vol. 19, No. 3 (2014)
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