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dc.contributor.authorSteger, Cara
dc.contributor.authorHirsch, Shana
dc.contributor.authorCosgrove, Chris
dc.contributor.authorInman, Sarah
dc.contributor.authorNost, Eric
dc.contributor.authorShinbrot, Xoco
dc.contributor.authorThorn, Jessica Paula Rose
dc.contributor.authorBrown, Daniel
dc.contributor.authorGret-Regamey, Adrienne
dc.contributor.authorMuller, Birgit
dc.contributor.authorReid, Robin
dc.contributor.authorTucker, Catherine M.
dc.contributor.authorKlein, Julia A.
dc.contributor.authorWeibel, Bettina
dc.identifier.citationSteger , C , Hirsch , S , Cosgrove , C , Inman , S , Nost , E , Shinbrot , X , Thorn , J P R , Brown , D , Gret-Regamey , A , Muller , B , Reid , R , Tucker , C M , Klein , J A & Weibel , B 2021 , ' Linking model design and application for transdisciplinary approaches in social-ecological systems ' , Global Environmental Change , vol. 66 , 102201 .
dc.identifier.otherRIS: urn:0616F4F5C6DFB6C83A14FFAE647D7995
dc.identifier.otherORCID: /0000-0003-2108-2554/work/117568938
dc.descriptionThis work was supported by the US National Science Foundation through the Mountain Sentinels Research Coordination Network (NSF #1414106), the Swiss National Science Foundation through MtnPaths – Pathways for global change adaptation of mountain socio-ecological systems (#20521L_169916), and the Center for Collaborative Conservation at Colorado State University.en
dc.description.abstractAs global environmental change continues to accelerate and intensify, science and society are turning to trans- disciplinary approaches to facilitate transitions to sustainability. Modeling is increasingly used as a technological tool to improve our understanding of social-ecological systems (SES), encourage collaboration and learning, and facilitate decision-making. This study improves our understanding of how SES models are designed and applied to address the rising challenges of global environmental change, using mountains as a representative system. We analyzed 74 peer-reviewed papers describing dynamic models of mountain SES, evaluating them according to characteristics such as the model purpose, data and model type, level of stakeholder involvement, and spatial extent/resolution. Slightly more than half the models in our analysis were participatory, yet only 21.6% of papers demonstrated any direct outreach to decision makers. We found that SES models tend to under-represent social datasets, with ethnographic data rarely incorporated. Modeling efforts in conditions of higher stakeholder diversity tend to have higher rates of decision support compared to situations where stakeholder diversity is absent or not addressed. We discuss our results through the lens of appropriate technology, drawing on the concepts of boundary objects and scalar devices from Science and Technology Studies. We propose four guiding principles to facilitate the development of SES models as appropriate technology for transdisciplinary applications: (1) increase diversity of stakeholders in SES model design and application for improved collaboration; (2) balance power dynamics among stakeholders by incorporating diverse knowledge and data types; (3) promote flexibility in model design; and (4) bridge gaps in decision support, learning, and communication. Creating SES models that are appropriate tech- nology for transdisciplinary applications will require advanced planning, increased funding for and attention to the role of diverse data and knowledge, and stronger partnerships across disciplinary divides. Highly contextualized participatory modeling that embraces diversity in both data and actors appears poised to make strong contributions to the world’s most pressing environmental challenges.
dc.relation.ispartofGlobal Environmental Changeen
dc.subjectDynamic modelingen
dc.subjectTransdisciplinarity Science and technology studiesen
dc.subjectKnowledge co-productionen
dc.subjectMountain social-ecological systemsen
dc.subjectMutual learningen
dc.subjectG Geography (General)en
dc.titleLinking model design and application for transdisciplinary approaches in social-ecological systemsen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Geography & Sustainable Developmenten
dc.description.statusPeer revieweden

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