Supporting adaptation decisions through scenario planning: Enabling the effective use of multiple methods
dc.contributor.author | Star, Jonathan | |
dc.contributor.author | Rowland, Erika L. | |
dc.contributor.author | Black, Mary E. | |
dc.contributor.author | Enquist, Carolyn A.F. | |
dc.contributor.author | Garfin, Gregg | |
dc.contributor.author | Hoffman, Catherine Hawkins | |
dc.contributor.author | Hartmann, Holly | |
dc.contributor.author | Jacobs, Katharine L. | |
dc.contributor.author | Moss, Richard H. | |
dc.contributor.author | Waple, Anne M. | |
dc.date.accessioned | 2017-03-02T23:06:33Z | |
dc.date.available | 2017-03-02T23:06:33Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | Supporting adaptation decisions through scenario planning: Enabling the effective use of multiple methods 2016, 13:88 Climate Risk Management | en |
dc.identifier.issn | 22120963 | |
dc.identifier.doi | 10.1016/j.crm.2016.08.001 | |
dc.identifier.uri | http://hdl.handle.net/10150/622731 | |
dc.description.abstract | Scenario planning is a technique used to inform decision-making under uncertainty, and is increasingly applied in the field of climate change adaptation and policy. This paper describes applications that combine previously distinct scenario methods in new and innovative ways. It draws on numerous recent independent case studies to illustrate emerging practices, such as far stronger connections between researcher-driven and participatory approaches and cycling between exploratory and normative perspectives. The paper concludes with a call for greater support for, and collaboration among, practitioners with the argument that mixed methods are most effective for decision-making in the context of climate change challenges. | |
dc.description.sponsorship | U.S. Geological Survey [G15AP00172] | en |
dc.language.iso | en | en |
dc.publisher | ELSEVIER SCIENCE BV | en |
dc.relation.url | http://linkinghub.elsevier.com/retrieve/pii/S2212096316300262 | en |
dc.rights | Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Copyright is held by the author(s) or the publisher. If your intended use exceeds the permitted uses specified by the license, contact the publisher for more information. | en |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject | Scenario planning | en |
dc.subject | Climate adaptation | en |
dc.title | Supporting adaptation decisions through scenario planning: Enabling the effective use of multiple methods | en |
dc.type | Article | en |
dc.contributor.department | Univ Arizona, Ctr Climate Adaptat Sci & Solut | en |
dc.contributor.department | Univ Arizona, DOI Southwest Climate Sci Ctr, USGS | en |
dc.contributor.department | Univ Arizona, Sch Nat Resources & Environm | en |
dc.identifier.journal | Climate Risk Management | en |
dc.description.note | Open access journal | en |
dc.description.collectioninformation | This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu. | en |
dc.eprint.version | Final published version | en |
refterms.dateFOA | 2018-06-18T02:29:01Z | |
html.description.abstract | Scenario planning is a technique used to inform decision-making under uncertainty, and is increasingly applied in the field of climate change adaptation and policy. This paper describes applications that combine previously distinct scenario methods in new and innovative ways. It draws on numerous recent independent case studies to illustrate emerging practices, such as far stronger connections between researcher-driven and participatory approaches and cycling between exploratory and normative perspectives. The paper concludes with a call for greater support for, and collaboration among, practitioners with the argument that mixed methods are most effective for decision-making in the context of climate change challenges. |