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An iterative method for discovering feasible management interventions and targets conjointly using uncertainty visualizations

Fu, Baihua; Guillaume, Joseph; Jakeman, Anthony

Description

This paper presents a generic method, referred to as Iterative Discovery, to guide deliberation with analysis where the aim is to plan refinements to management interventions with difficult-to-define objectives, often due to system uncertainties and diverse stakeholder positions. The method can be initiated by evaluating a scenario describing the current-best intervention. This provides the starting point for three evaluation cycles, focusing on model assumptions, alternative interventions and...[Show more]

dc.contributor.authorFu, Baihua
dc.contributor.authorGuillaume, Joseph
dc.contributor.authorJakeman, Anthony
dc.date.accessioned2015-12-13T22:36:16Z
dc.identifier.issn1364-8152
dc.identifier.urihttp://hdl.handle.net/1885/76685
dc.description.abstractThis paper presents a generic method, referred to as Iterative Discovery, to guide deliberation with analysis where the aim is to plan refinements to management interventions with difficult-to-define objectives, often due to system uncertainties and diverse stakeholder positions. The method can be initiated by evaluating a scenario describing the current-best intervention. This provides the starting point for three evaluation cycles, focusing on model assumptions, alternative interventions and management targets. The outcome of this method is a list of management targets that can and cannot be achieved, the potential interventions that correspond to these targets, and the assumptions and uncertainties associated with these interventions. It was applied to a case study for environmental flow management in the Macquarie Marshes, Australia. We identified feasible management targets based on ecological outcomes in flood suitability across different locations, climate conditions and species, and the suitable environmental flow volumes that correspond to these targets.
dc.publisherPergamon-Elsevier Ltd
dc.sourceEnvironmental Modelling and Software
dc.titleAn iterative method for discovering feasible management interventions and targets conjointly using uncertainty visualizations
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume71
dc.date.issued2015
local.identifier.absfor050200 - ENVIRONMENTAL SCIENCE AND MANAGEMENT
local.identifier.ariespublicationU3488905xPUB5483
local.type.statusPublished Version
local.contributor.affiliationFu, Baihua, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationGuillaume, Joseph, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationJakeman, Anthony , College of Medicine, Biology and Environment, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.startpage159
local.bibliographicCitation.lastpage173
local.identifier.doi10.1016/j.envsoft.2015.05.017
local.identifier.absseo960900 - LAND AND WATER MANAGEMENT
dc.date.updated2015-12-11T09:30:59Z
local.identifier.scopusID2-s2.0-84934284888
CollectionsANU Research Publications

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