Deliverable D1.1

Repository integrating relevant knowledge, data and tools for assessing linkages between ES and eutrophication dynamics across realms

This deliverable explains how the CREATE project, specifically Task 1.1, is establishing a shared data and evidence hub to support the spatially explicit modelling of ecosystem functioning and services, and the prioritisation and optimisation of nature-based solutions for eutrophication mitigation across the land-sea continuum in the eastern Baltic Sea. The work is organised around three main actions. First, Task 1.1 developed the CREATE Relational MetaDatabase (CREATE RMD), a structured metadata resource designed to systematically identify, document, and share spatial layers and datasets relevant to modelling activities across CREATE. To improve accessibility and uptake across the CREATE partnership, a dedicated Shiny application was also developed, providing an intuitive interface for browsing the database, searching by keywords, applying targeted filters, and viewing complete metadata records in a consistent format. Second, in close collaboration with project partners, spatial layers and datasets from established European and regional data infrastructure services, relevant outputs from previous projects, and national sources are being compiled, prioritising the efficient reuse and alignment of available resources across CREATE actions. Third, a systematic evidence mapping was initiated to identify and extract quantitative estimates to support model parametrisation. To date, and across actions, more than 120 spatial layers have been screened and documented, over 1700 publications have been identified and screened, and over 900 evidence records have been extracted. In the next phase, these inputs will be consolidated into harmonised, model-ready resources. This includes improving the completeness and consistency of metadata entries, expanding CREATE RMD with additional datasets as new products and partner contributions become available, and refining thematic tagging to strengthen links between datasets and specific modelling actions. The Shiny application will be further developed to support structured submission and validation of new entries, and to enable export of filtered selections for reporting and downstream workflows. In parallel, evidence extraction from the literature will continue and extracted values will be progressively organised into consistent parameter sets that can be directly used for model parameterisation and validation. This deliverable is intended as a living document and will be iteratively updated throughout the project to reflect ongoing data integration and evidence synthesis. An updated version is planned for February 2027.