globalchange  > 气候变化与战略
DOI: 10.1016/j.gloenvcha.2020.102201
论文题名:
Linking model design and application for transdisciplinary approaches in social-ecological systems
作者: Steger C.; Hirsch S.; Cosgrove C.; Inman S.; Nost E.; Shinbrot X.; Thorn J.P.R.; Brown D.G.; Grêt-Regamey A.; Müller B.; Reid R.S.; Tucker C.; Weibel B.; Klein J.A.
刊名: Global Environmental Change
ISSN: 9593780
出版年: 2021
卷: 66
语种: 英语
中文关键词: Dynamic modeling ; Knowledge co-production ; Mountain social-ecological systems ; Mutual learning ; Science and technology studies ; Transdisciplinarity
英文关键词: appropriate technology ; decision making ; design method ; environmental change ; interdisciplinary approach ; stakeholder ; sustainability
英文摘要: As global environmental change continues to accelerate and intensify, science and society are turning to transdisciplinary 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 technology 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. © 2020 Elsevier Ltd
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/168344
Appears in Collections:气候变化与战略

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作者单位: Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO 80523-1499, United States; Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO 80523-1499, United States; Department of Ecosystem Science & Sustainability, Colorado State University, Fort Collins, CO 80523-1476, United States; Department of Human Centered Design and Engineering, University of Washington, Seattle, WA 98195, United States; College of Earth, Ocean and Atmospheric Sciences, Oregon State University, Corvallis, OR 97331, United States; Department of Geography, Environment and Geomatics, University of Guelph, Guelph, ON N1H 2W1, Canada; Department of Natural Resources, Cornell University, Ithaca, NY 14853, United States; York Institute of Tropical Ecosystems, University of York, Department of Environment and Geography, Wentworth Way, Heslington, York, North Yorkshire YO10 5NG, United Kingdom; African Climate and Development Initiative (ACDI), University of Cape Town, Upper Campus, Geological Sciences Building Level 6, 13 Library Road, Rondebosch, Cape Town, 7700, South Africa; School of Environmental and Forest Sciences, University of Washington, Seattle, WA 98195, United States; Planning of Landscape and Urban Systems, ETH Zurich, Zurich, 8093, Switzerland; Department of Ecological Modelling, UFZ – Helmholtz Centre for Environmental Research, Permoser Str. 15, Leipzig, 04318, Germany; Department of Anthropology, University of Florida, Gainesville, FL 32611, United States

Recommended Citation:
Steger C.,Hirsch S.,Cosgrove C.,et al. Linking model design and application for transdisciplinary approaches in social-ecological systems[J]. Global Environmental Change,2021-01-01,66
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