Content
Within OPTAIN, feedback mechanisms did not relate to the practical implementation of Natural Small Water Retention Measures (NSWRM), as no measures were deployed on the ground. Instead, stakeholder engagement supported the iterative refinement of models, analytical tools and knowledge resources developed within the project.
Structured surveys, workshops and Multi-Actor Reference Group (MARG) discussions were used to collect stakeholder input throughout the modelling and optimisation process. This input contributed to decisions such as which NSWRMs should be modelled, where within the case studies they should be assessed, which performance indicators should be calculated, and which datasets should be used as model inputs. These exchanges ensured that modelling assumptions and analytical outputs remained relevant to regional contexts while maintaining scientific consistency.
Rather than applying an adaptive management approach to implemented measures, OPTAIN applied an iterative development process to its predictive modelling and optimisation framework. Feedback informed refinements in model configuration, indicator selection and spatial allocation strategies. This adaptive element also extended to supporting tools and platforms, including the NSWRM catalogue, ParetoPickR, and the OPTAIN Learning Environment, whose structure and content evolved based on user feedback and usability considerations.
Digital platforms and project events provided additional channels for continuous exchange. Stakeholder comments supported improvements in the clarity of model result visualisations, interpretation of optimisation outputs and overall accessibility of technical content. Feedback was analysed to identify recurring themes related to model usability, indicator relevance, and communication of trade-offs, and was integrated into subsequent updates of analytical tools and learning materials.
Through this structured and transparent feedback loop, OPTAIN strengthened the robustness and usability of its modelling framework. The project’s adaptive elements were therefore methodological and technical in nature, focusing on model development, optimisation design and knowledge dissemination, rather than on field implementation of NSWRM.