Abstract
• After the dramatic eutrophication-induced decline of intertidal seagrasses in the 1970s, the
Wadden Sea has shown diverging developments. In the northern Wadden Sea, seagrass beds
have expanded and become denser, while in the southern Wadden Sea, only small beds with
low shoot densities are found. A lack of documentation of historical distributions hampers
conservation management. Yet, the recovery in the northern Wadden Sea provides
opportunity to construct robust habitat suitability models to support management.
• We tuned habitat distribution models based on 17 years of seagrass surveys in the northern
Wadden Sea and high-resolution hydrodynamics and geomorphology for the entire Wadden
Sea using five machine learning approaches. To obtain geographically transferable models,
hyperparameters were tuned on the basis of prediction accuracy assessed by non-random,
spatial cross-validation. The spatial cross-validation methodology was combined with a
consensus modelling approach.
• The predicted suitability scores correlated amongst each other and with the hold-out
observations in the training area indicating that the models converged and were transferable
across space. Prediction accuracy was improved by averaging the predictions of the best
models.
• We graphically examined the relationship between the consensus suitability score and
independent presence-only data from outside the training area using the area-adjusted
seagrass frequency per suitability class (continuous Boyce index). The Boyce index was
positively correlated with the suitability score indicating the adequacy of the prediction
methodology.
• We used the plot of the continuous Boyce index against habitat suitability score to
demarcate three habitat classes – unsuitable, marginal and suitable – for the entire
international Wadden Sea. This information is valuable for habitat conservation and
restoration management.
• Divergence between predicted suitability and actual distributions from the recent past
indicates that unaccounted factors limit seagrass development in the southern Wadden Sea.
• Synthesis and applications. Our methodology and data enabled us to produce a robust and
validated consensus habitat suitability model. We identified highly suitable areas where
intertidal seagrass meadows may establish and persist. Our work provides scientific
underpinning for effective conservation planning in a dynamic landscape and sets monitoring
priorities.