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Increasing the Uptake of Ecological Model Results in Policy Decisions to Improve Biodiversity Outcomes

Authors :
Sarah R. Weiskopf
Zuzana Harmackova
Ciara G. Johnson
María Cecilia Londoño-Murcia
Brian W. Miller
Bonnie J E Myers
Laura Pereira
Maria Isabel Arce-Plata
Julia L. Blanchard
Simon Ferrier
Elizabeth A. Fulton
Mike Harfoot
Forest Isbell
Justin A. Johnson
Akira S. Mori
Ensheng Weng
Isabel M.D. Rosa
Source :
Environmental Modelling and Software. 149
Publication Year :
2022
Publisher :
United States: NASA Center for Aerospace Information (CASI), 2022.

Abstract

Models 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.

Details

Language :
English
ISSN :
13648152
Volume :
149
Database :
NASA Technical Reports
Journal :
Environmental Modelling and Software
Notes :
80NSSC21K1496, , 80NSSC20M0282, , DBI-1639145
Publication Type :
Report
Accession number :
edsnas.20220000361
Document Type :
Report
Full Text :
https://doi.org/10.1016/j.envsoft.2022.105318