2007
DOI: 10.3763/cpol.2007.0718
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Structured decision-making to link climate change and sustainable development

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Cited by 14 publications
(15 citation statements)
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“…to distinguish the ends (fundamental objectives) from the means (Gregory and Keeney 2002). In addition, several objectives hierarchies and sources were reviewed from the literature for ideas about structuring, defining, and measuring the concerns in the reports as objectives (Keeney et al 1987(Keeney et al 1996Keeney 1992;Keeney and Raiffa 1993;Keeney and von Winterfeldt 1994;McDaniels 1999;Winn and Keller 2001;Trousdale and Gregory 2004;McDaniels et al 2006;Wilson and McDaniels 2007;UN 2012). Previously identified criteria for useful fundamental objectives were also used in the final selection phase (Keeney 1992).…”
Section: Methodsmentioning
confidence: 99%
“…to distinguish the ends (fundamental objectives) from the means (Gregory and Keeney 2002). In addition, several objectives hierarchies and sources were reviewed from the literature for ideas about structuring, defining, and measuring the concerns in the reports as objectives (Keeney et al 1987(Keeney et al 1996Keeney 1992;Keeney and Raiffa 1993;Keeney and von Winterfeldt 1994;McDaniels 1999;Winn and Keller 2001;Trousdale and Gregory 2004;McDaniels et al 2006;Wilson and McDaniels 2007;UN 2012). Previously identified criteria for useful fundamental objectives were also used in the final selection phase (Keeney 1992).…”
Section: Methodsmentioning
confidence: 99%
“…Competing factors may dominate in the short term, e.g., economic development for developing nations 6. Given these contextual issues, there is an identified benefit of improving the link between climate change policies and broader sustainable development policies 5,98–100. It is partly from our discussion of the potential of these planning tools for adapting to climate change (Table 2) that we identify three key challenges to spatial planning for adaptation.…”
Section: Spatial Planningmentioning
confidence: 99%
“…Examples of SDM include decisions pertaining to recreational fisheries (Peterson andEvans 2003, Irwin et al 2008), threatened and endangered species protection (Conroy et al 2008), invasive species management (Runge et al 2011a), migratory bird harvest (Williams and Johnson 1995), wildlife health (Sells et al 2016), and estuarine habitat management (Robinson and Jennings 2012). By breaking the decision into logical components, SDM provides a framework to contend with the complexities of harvest management decisions at large spatial scales, such as creating multiple scales of objectives (McDaniels et al 2006, Wilson andMcDaniels 2007), formally analyzing tradeoffs (Keeney 1992, Gregory andKeeney 1994), and integrating social and ecological data (Gregory et al 1993, McDaniels et al 2006, Failing et al 2007). In addition to these benefits, SDM allows stakeholders to express formally their subjective judgments and preferences.…”
Section: Introductionmentioning
confidence: 99%