Double-Loop Learning in Adaptive Management: The Need, the Challenge, and the Opportunity.
Adaptive management addresses uncertainty about the processes influencing resource dynamics, as well as the elements of decision making itself. The use of management to reduce both kinds of uncertainty is known as double-loop learning. Though much work has been done on the theory and procedures to a...
| Publicado en: | Environmental Management Vol. 62; no. 6; pp. 995 - 1007 |
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| Autores principales: | , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Dec2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=133201643&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 133201643 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 0364152X O5H jtl: Environmental Management issn: 0364152X maglogo: N pubinfo: dt: Dec2018 vid: 62 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 133201643 10.1007/s00267-018-1107-5 133201643 ppf: 995 ppct: 12 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Double-Loop Learning in Adaptive Management: The Need, the Challenge, and the Opportunity. aug: au: Williams, Byron K. Brown, Eleanor D. affil: The Wildlife Society, 425 Barlow Place, Suite 200, 20814, Bethesda, MD, USA sug: ab: Adaptive management addresses uncertainty about the processes influencing resource dynamics, as well as the elements of decision making itself. The use of management to reduce both kinds of uncertainty is known as double-loop learning. Though much work has been done on the theory and procedures to address structural uncertainty, there has been less progress in developing an explicit approach for institutional learning about decision elements. Our objective is to describe evidence-based learning about the decision elements, as a complement to the formal “learning by doing” framework for reducing structural uncertainties. Adaptive management is described as a multi-phase approach to management and learning, with a set-up phase of identifying stakeholders, objectives, and other decision elements; an iterative phase that uses these elements in an ongoing cycle of technical learning about system structure and management impacts; and an institutional learning phase involving the periodic reconsideration of the decision elements. We describe a framework for institutional learning that is complementary to that of technical learning, including uncertainty metrics, propagation of change, and mechanisms and consequences of change over time. Operational issues include ways to recognize when the decision elements should be revisited, which elements should be adjusted, and how alternatives can be identified and incorporated based on experience and management performance. We discuss the application of this framework in decision making for renewable natural resources. As important as it is to learn about the processes driving resource dynamics, learning about the elements of the decision architecture is equally, if not more, important. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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