Framework Directive requirements in terms of compliance (e.g., metrics, sampling procedure, pressure relationship, uncertainty of misclassification and comparability to other methodologies in terms of con- cept). The index includes three common and easy-to-measure structural parameters of seagrass (i.e., the no. of taxa, bed extent and shoot density) combined in a calculation rule that allows the index to report all five of the quality classes (i.e., high, good, moderate, poor and bad). The present study contains analyses of the relationships between the ecosystem-quality results produced by the index and the pressures mea- sured in the system as well as the relationships between the SQI and the seagrass parameters composing it (both the correlation between the SQI and metrics and the SQI sensitivity to the individual variation of each metric). These relationships were tested using a Spearman rank-correlation analysis, producing significant correlations between the biological metrics and the index results as well as between the index results and the environmental quality-pressure category (i.e., the concentration of winter DIN and tur- bidity). In terms of management, it is possible to apply the methodology on a broad geographical scale in systems where the reference condition for the number of taxa is even higher than one (for the Mon- dego studied here, the reference value was one species). The tool fulfilled the WFD requirements, had a robust sampling design and proved to be able to track the inertia that usually exists from the moment the pressure is alleviated as well as the biological response that characterises the recovery phase in systems under restoration.