Step 5: Test Solutions

Short Definition

This step focuses on the controlled, real-world testing of Nature-based Solutions (NbS) to assess how well they perform in practice. Through pilot experiments, the Living Lab evaluates each intervention’s technical feasibility, ecological impact, and social acceptance. Testing transforms ideas into evidence, generating measurable data that inform future scaling and policy integration.


Extended Methodology Explanation

Testing is a critical phase in the Living Lab cycle — it turns prototypes into validated solutions. By applying rigorous monitoring and evaluation frameworks, this step ensures that every NbS intervention is scientifically sound, operationally feasible, and socially supported.

1. Experimental Design
Each solution is tested under realistic but controlled conditions that represent the site’s ecological and socio-economic context. Define clear hypotheses and expected outcomes — for example, “the restored dune will reduce erosion by 30% within one year” or “wetland vegetation will increase carbon storage compared to baseline.” Design control and reference sites when possible to enable comparative analysis.

2. Data Collection and Monitoring Protocols
Establish comprehensive monitoring plans that include biophysical, ecological, and social parameters. Data should be collected before, during, and after implementation to capture both short-term responses and long-term trends. Common indicators include:

  • Biodiversity recovery (species richness, abundance)

  • Carbon sequestration (biomass or soil organic carbon)

  • Water and sediment quality

  • Habitat connectivity and geomorphological stability

  • Community engagement and satisfaction levels

3. Tools and Techniques
Use a combination of field surveys, sensors, remote sensing, and citizen science. For example, UAV mapping can track changes in vegetation cover, while automated loggers measure salinity, turbidity, or temperature. Participatory monitoring engages local actors, enhancing transparency and shared learning.

4. Evaluation of Technical Feasibility
Assess whether the NbS can be maintained, replicated, and integrated into existing infrastructure or policies. This includes evaluating maintenance costs, required expertise, and alignment with legal or spatial planning frameworks.

5. Ecological and Social Assessment
Measure ecological effectiveness alongside social acceptance. Engage community members and stakeholders in evaluating how the interventions influence livelihoods, recreation, aesthetics, and risk perception. This dual assessment ensures that the tested solutions are both ecologically viable and socially desirable.

6. Data Analysis and Learning Feedback
Analyze the results to identify what works, what can be improved, and under which conditions the solution performs best. Summaries and visual dashboards should be shared with all Living Lab members to enable open discussion and reflection. Insights gained here feed directly into the next steps — evaluation, learning, and scaling.

7. Evidence for Adaptation and Policy Uptake
The testing phase produces credible, evidence-based data that support wider policy recommendations, replication, and investment. These results demonstrate the tangible value of NbS and strengthen their role in climate adaptation and biodiversity strategies.

By the end of this step, the Living Lab moves from experimentation to validation — building the scientific and social evidence needed to inform future decisions and large-scale implementation.