Values, rules and knowledge: Adaptation as change in the decision context

dc.contributor.authorGorddard, Russellen
dc.contributor.authorColloff, Matthew J.en
dc.contributor.authorWise, Russell M.en
dc.contributor.authorWare, Danen
dc.contributor.authorDunlop, Michaelen
dc.date.accessioned2025-06-01T02:27:05Z
dc.date.available2025-06-01T02:27:05Z
dc.date.issued2016-03-01en
dc.description.abstractResponding to global change represents an unprecedented challenge for society. Decision makers tend to address this challenge by framing adaptation as a decision problem, whereby the responses to impacts of change are addressed within existing decision processes centred on defining the decision problem and selecting options. However, this 'decision-making perspective' is constrained by societal values and principles, regulations and norms and the state of knowledge. It is therefore unsuitable for addressing complex, contested, cross-scale problems. In this paper we argue that simply broadening the decision-making perspective to account for institutions and values is not enough. We contend the decision-making perspective needs to be connected with a broader 'decision-context perspective' that focuses on how the societal system of decision processes affects the manner in which a particular problem is addressed. We describe the decision context as an interconnected system of values, rules and knowledge (vrk). The interaction of systems of vrk both creates and limits the set of practical, permissible decisions; the types of values, rules and knowledge that influence the decision and the capacity for change and transformation in the decision context. We developed a framework to analyse the interactions between values, rules and knowledge and their influence on decision making and decision contexts of adaptation initiatives, and applied it retrospectively to three projects on adaptation to sea-level rise. Our analysis revealed: (1) specific examples of how interactions between vrk systems constrained existing framings of decision making and the development of options for coastal adaptation; (2) limitations in the adaptive management strategies that underpinned the projects and (3) how the linked systems of vrk can allow adaptation practitioners to structure adaptation as a process of co-evolutionary change that enables a broader set of social issues and change processes to be considered. Adaptation projects that focus on the decision context represent a pragmatic alternative to existing decision-focused adaptation. By using the vrk model to diagnose constraints in decision processes, we show how the reframing of adaptation initiatives can reveal new approaches to developing adaptation responses to complex global change problems.en
dc.description.sponsorshipWe thank Nick Abel, Clive Attwater, Tim Capon, Doug Cocks, Ioan Fazey, Art Langston, Rachel Williams and two anonymous reviewers for their insights and constructive criticisms of the manuscript. This research was funded by the former CSIRO Climate Adaptation National Research Flagship.en
dc.description.statusPeer-revieweden
dc.format.extent10en
dc.identifier.issn1462-9011en
dc.identifier.otherORCID:/0000-0002-3765-0627/work/171152871en
dc.identifier.scopus84949984801en
dc.identifier.urihttp://www.scopus.com/inward/record.url?scp=84949984801&partnerID=8YFLogxKen
dc.identifier.urihttps://hdl.handle.net/1885/733756304
dc.language.isoenen
dc.rightsPublisher Copyright: © 2015.en
dc.sourceEnvironmental Science and Policyen
dc.subjectAdaptationen
dc.subjectCo-evolutionen
dc.subjectDecision contexten
dc.subjectDecision systemen
dc.subjectGlobal changeen
dc.subjectSea-level riseen
dc.titleValues, rules and knowledge: Adaptation as change in the decision contexten
dc.typeJournal articleen
dspace.entity.typePublicationen
local.bibliographicCitation.lastpage69en
local.bibliographicCitation.startpage60en
local.contributor.affiliationGorddard, Russell; CSIROen
local.contributor.affiliationColloff, Matthew J.; CSIROen
local.contributor.affiliationWise, Russell M.; CSIROen
local.contributor.affiliationWare, Dan; Griffith University Queenslanden
local.contributor.affiliationDunlop, Michael; CSIROen
local.identifier.citationvolume57en
local.identifier.doi10.1016/j.envsci.2015.12.004en
local.identifier.pure66fba30d-52fb-473c-a1eb-91e2aca86525en
local.identifier.urlhttps://www.scopus.com/pages/publications/84949984801en
local.type.statusPublisheden

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