Increasing the uptake of ecological model results in policy decisions to improve biodiversity outcomes

0557270 - ÚVGZ 2023 RIV GB eng J - Journal Article
Weiskopf, S. - Harmáčková, Veronika Zuzana - Johnson, C. - Londono-Murcia, M. - Miller, B. - Myers, B. - Pereira, L.M. - Arce-Plata, M. - Blanchard, J. - Ferrier, S. - Fulton, E. - Harfoot, M. - Isbell, F. - Johnson, J. - Mori, A. - Weng, E. - Rosa, I.
Increasing the uptake of ecological model results in policy decisions to improve biodiversity outcomes.
Environmental Modelling & Software. Roč. 149, MAR (2022), č. článku 105318. ISSN 1364-8152. E-ISSN 1873-6726
Institutional support: RVO:86652079
Keywords : new-south-wales * ecosystem services * spatial pattern * conservation * knowledge * opportunities * science * linking * trust * Biodiversity-ecosystem function relationships * Co-production * Ecological modeling * Policy relevance * Stakeholder engagement
OECD category: Environmental sciences (social aspects)
Impact factor: 4.9, year: 2022
Method of publishing: Open access
https://www.sciencedirect.com/science/article/pii/S136481522200024X?dgcid=coauthor

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) represents a promising approach. To this end, we offer a generalized approach for linking modeling and decision-making.
Permanent Link: http://hdl.handle.net/11104/0331369