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

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F22%3A00557270" target="_blank" >RIV/86652079:_____/22:00557270 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S136481522200024X?dgcid=coauthor" target="_blank" >https://www.sciencedirect.com/science/article/pii/S136481522200024X?dgcid=coauthor</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.envsoft.2022.105318" target="_blank" >10.1016/j.envsoft.2022.105318</a>

Result language
angličtina
Original language name
Increasing the uptake of ecological model results in policy decisions to improve biodiversity outcomes
Original language description
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.
Czech name
—
Czech description
—

Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
50704 - Environmental sciences (social aspects)

Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)