TY - JOUR
T1 - Increasing the uptake of ecological model results in policy decisions to improve biodiversity outcomes
AU - Weiskopf, Sarah R.
AU - Harmáčková, Zuzana V.
AU - Johnson, Ciara G.
AU - Londoño-Murcia, María Cecilia
AU - Miller, Brian W.
AU - Myers, Bonnie J.E.
AU - Pereira, Laura
AU - Arce-Plata, Maria Isabel
AU - Blanchard, Julia L.
AU - Ferrier, Simon
AU - Fulton, Elizabeth A.
AU - Harfoot, Mike
AU - Isbell, Forest
AU - Johnson, Justin A.
AU - Mori, Akira S.
AU - Weng, Ensheng
AU - Rosa, Isabel M.D.
N1 - Publisher Copyright:
© 2022
PY - 2022/3
Y1 - 2022/3
N2 - 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.
AB - 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.
KW - Biodiversity-ecosystem function relationships
KW - Co-production
KW - Ecological modeling
KW - Policy relevance
KW - Stakeholder engagement
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U2 - 10.1016/j.envsoft.2022.105318
DO - 10.1016/j.envsoft.2022.105318
M3 - Article
AN - SCOPUS:85123182669
SN - 1364-8152
VL - 149
JO - Environmental Modelling and Software
JF - Environmental Modelling and Software
M1 - 105318
ER -