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W1: Modelling and Monitoring Environmental Outcomes in Adaptive Management

Norton, John; Reckhow, Ken

Description

The main aim of this paper is to stimulate questions about the future of adaptive management (AM) of natural resources, and more specifically about what approaches may be feasible which have not yet been explored well. The method will be to compare the histories, strengths and limitations of AM, control engineering and Bayesian analysis, which have superficial similarities, significant differences and perhaps lessons for each other. Some difficulties encountered by control engineering and...[Show more]

dc.contributor.authorNorton, John
dc.contributor.authorReckhow, Ken
dc.contributor.editorAlexey Voinov
dc.contributor.editorAnthony J Jakeman
dc.contributor.editorAndrea E Rizzoli
dc.coverage.spatialBurlington USA
dc.date.accessioned2015-12-07T22:20:56Z
dc.date.createdJuly 9-13 2006
dc.identifier.isbn1424308526
dc.identifier.urihttp://hdl.handle.net/1885/19804
dc.description.abstractThe main aim of this paper is to stimulate questions about the future of adaptive management (AM) of natural resources, and more specifically about what approaches may be feasible which have not yet been explored well. The method will be to compare the histories, strengths and limitations of AM, control engineering and Bayesian analysis, which have superficial similarities, significant differences and perhaps lessons for each other. Some difficulties encountered by control engineering and complex environmental models are pointed out.
dc.publisherInternational Environmental Modelling and Software Society
dc.relation.ispartofseriesBiennial Meeting of the International Environmental Modelling and Software Society 2006
dc.sourceProceedings of Biennial Meeting of the International Environmental Modelling and Software Society 2006
dc.source.urihttp://www.iemss.org/iemss2006/sesions/all.html
dc.subjectKeywords: Adaptive Management; Bayesian Analysis; Control engineering; Environmental model; Environmental outcome; Modelling; Ecology; Feedback; Monitoring; Computer software Adaptive management; Bayesian analysis; Control engineering; Feedback; Modelling; Monitoring
dc.titleW1: Modelling and Monitoring Environmental Outcomes in Adaptive Management
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2006
local.identifier.absfor050209 - Natural Resource Management
local.identifier.absfor080110 - Simulation and Modelling
local.identifier.ariespublicationu9205081xPUB9
local.type.statusPublished Version
local.contributor.affiliationNorton, John, College of Physical and Mathematical Sciences, ANU
local.contributor.affiliationReckhow, Ken, Duke University
local.description.embargo2037-12-31
local.bibliographicCitation.startpage16
dc.date.updated2016-02-24T11:54:21Z
local.identifier.scopusID2-s2.0-84858633103
CollectionsANU Research Publications

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