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Increasing the Uptake of Ecological Model Results in Policy Decisions to Improve Biodiversity OutcomesModels help decision-makers anticipate the consequences of policies for ecosystems and people; for instance, improving our ability to represent interactions between human activities and ecological systems is essential to identify pathways to meet the 2030 Sustainable Development Goals. However, use of modeling outputs in decision-making remains uncommon. We share insights from a multidisciplinary National Socio-Environmental Synthesis Center working group on technical, communication, and process-related factors that facilitate or hamper uptake of model results. We emphasize that it is not simply technical model improvements, but active and iterative stakeholder involvement that can lead to more impactful outcomes. In particular, trust- and relationship-building with decision-makers are key for knowledge-based decision making. In this respect, nurturing knowledge exchange on the interpersonal (e.g., through participatory processes), and institutional level (e.g., through science-policy interfaces across scales), represent promising approaches. To this end, we offer a generalized approach for linking modeling and decision-making.
Document ID
20220000361
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
Sarah R. Weiskopf
(U.S. Geological Survey National Climate Adaptation Science Center)
Zuzana Harmackova
(Global Change 1 Increasing the uptake of ecological model results in policy decisions to improve biodiversity 1outcomes 23Authors: 4Sarah R. Weiskopf, U.S. Geological Survey National Climate Adaptation Science Center, 5Reston, VA, USA 6Research Institute of the Czech Academy of Sciences)
Ciara G. Johnson
(George Mason University Fairfax, Virginia, United States)
María Cecilia Londoño-Murcia
(Instituto de Investigación de Recursos Biológicos Alexander von Humboldt)
Brian W. Miller
(U.S. Geological Survey North Central Climate Adaptation Science Center)
Bonnie J E Myers ORCID
(North Carolina State University Raleigh, North Carolina, United States)
Laura Pereira
(Stellenbosch University Stellenbosch, Western Cape, South Africa)
Maria Isabel Arce-Plata
(University of Montreal Montreal, Quebec, Canada)
Julia L. Blanchard
(University of Tasmania Hobart, Tasmania, Australia)
Simon Ferrier
(CSIRO Ocean and Atmosphere Canberra, Australian Capital Territory, Australia)
Elizabeth A. Fulton
(CSIRO Ocean and Atmosphere Canberra, Australian Capital Territory, Australia)
Mike Harfoot
(United Nations Environment ProgrammeWorld Conservation Monitoring Centre)
Forest Isbell
(University of Minnesota Minneapolis, Minnesota, United States)
Justin A. Johnson
(University of Minnesota Minneapolis, Minnesota, United States)
Akira S. Mori
(Yokohama National University Yokohama, Kanagawa, Japan)
Ensheng Weng
(Columbia University New York, New York, United States)
Isabel M.D. Rosa
(Bangor University Bangor, Gwynedd, United Kingdom)
Date Acquired
January 21, 2022
Publication Date
January 14, 2022
Publication Information
Publication: Environmental Modelling and Software
Publisher: Elsevier
Volume: 149
Issue Publication Date: March 1, 2022
ISSN: 1364-8152
Subject Category
Meteorology And Climatology
Earth Resources And Remote Sensing
Funding Number(s)
CONTRACT_GRANT: 80NSSC21K1496
CONTRACT_GRANT: 80NSSC20M0282
CONTRACT_GRANT: DBI-1639145
Distribution Limits
Public
Copyright
Other
Technical Review
External Peer Committee
Keywords
Biodiversity-ecosystem function relationships
Co-production
Ecological modeling
Policy relevance
Stakeholder engagement
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