Periodic Reporting for period 1 - SpongeScapes (Evidence and Solutions for improving SPONGE Functioning at LandSCAPE Scale in European Catchments for increased Resilience of Communities against Hydrometeorological Extreme Events)
Okres sprawozdawczy: 2023-10-01 do 2025-03-31
In addition to monitoring and modelling, SpongeScapes conducted a comprehensive review of existing sponge measures, assessing their suitability and potential for upscaling across different regions. This review was instrumental in developing a unified framework for evaluating sponge functioning, integrating data on land use, climate, and hydrology to create targeted intervention strategies.
To facilitate stakeholder engagement and co-creation of sponge strategies, SpongeScapes launched two SpongeLabs in the Netherlands and France. These platforms bring together local stakeholders, water authorities, and researchers to discuss challenges, share data, and develop context-specific scenarios for implementing sponge measures. The SpongeLabs provide a space to simulate different sponge strategies and assess their impact on regional hydrology, enabling stakeholders to visualise potential outcomes and adapt measures accordingly.
A significant milestone was the development of a prototype SpongeGIS, a digital mapping tool designed to visualise areas with high potential for sponge interventions. The tool integrates multi-scalar data on land use, topography, and hydrology, allowing users to identify optimal zones for implementing specific sponge measures and to anticipate potential trade-offs and synergies. It is now being tested in the case studies and will be made available for the wider public in the upcoming period.
Communication and dissemination activities also formed a core part of the first reporting period. The project organised a targeted webinar for stakeholders to provide an overview of sponge measures. A project website was launched, featuring updates on case study progress, publications, and training materials. Additionally, SpongeScapes actively engaged with other EU-funded projects to share knowledge and identify collaboration opportunities, enhancing the project’s visibility and impact across Europe.
Modelling Sponge Measure Interactions: SpongeScapes extends traditional hydrological modelling by examining how specific combinations of sponge measures interact at the catchment scale under a range of rain and drought events. This approach provides valuable insights into how localised interventions can collectively enhance landscape-scale water retention to limit drought risks and mitigate flood risks. SpongeScapes goes beyond current practices by combining local monitoring data with landscape-scale modelling, helping to understand how individual sponge measures can work together to improve the overall water balance.
Framework for Co-benefit and Trade-off Analysis: The project develops a comprehensive framework for assessing co-benefits and trade-offs of sponge measures, including carbon sequestration, biodiversity, and socio-economic impacts. This framework allows stakeholders to evaluate multiple intervention scenarios, enabling more strategic planning based on ecological and economic outcomes.
GeoDesign Approach for Stakeholder Engagement: In the SpongeLabs, a participatory GeoDesign approach was employed, integrating stakeholder input into scenario planning. This method facilitated collaboration among water managers, farmers, and policymakers, ensuring that proposed sponge strategies are both scientifically robust and locally feasible.
SpongeGIS – Digital Opportunity Mapping for enhancing water retention in landscapes: The SpongeGIS tool was developed to provide stakeholders with a decision-support system for identifying high-priority areas where water retention capacity can be enhanced using sponge measures. By integrating data on land use, topography, hydrology, and socio-economic factors, SpongeGIS enables users to visualise potential intervention zones and assess the expected impact of proposed measures. This tool enhances strategic planning and supports evidence-based decision-making at multiple scales.