Introduction
In the framework of the PLASMAR (2017-2021) and PLASMAR+ (2021-2023) projects , we developed a multi-parameter spatial analysis to assess the suitability of marine areas for aquaculture development in the Canary Islands and Madeira archipelago. Zoning analyses integrated diverse criteria structured as marine environmental conditions, conservation targets , oceanographic potential, coastal uses, and maritime operational sectors. The results have been presented on Aquaculture Europe 2021 and directly applied to inform the Maritime Spatial Planning (MSP) processes in both regions, supporting evidence-based decisions for aquaculture site allocation.
Methodology & results
Following, the ReMAP project (2022-2025) applied the MSP Data Framework (Technic al Expert Group on Data for MSP, 2023) to develop an Input Data Module. This tool allows for a systematic evaluation of the spatial data underpinning MSP, focusing on thematic availability, transparency, quality, coverage, and resolution. We applied the module to assess the input datasets used in the aquaculture suitability analyses for Madeira and the Canary Islands. The findings reveal how variations in data quality, completeness and coverage can significantly influence the outcomes of spatial planning and, ultimately, the identification of suitable areas for aquaculture.
Conclusion
This is the first analysis of its kind that shifts attention to how we feed the model—examining the input data itself. While discussions around spatial models often focus on their internal mechanisms or just on delivered “model” results we rarely scrutinize the type and quality of data entering the model and how that input shapes the final results. This approach brings a new level of transparency and critical understanding to the modelling process in maritime spatial planning.
As one of 10 ReMAP modules, developed for MSP evaluation and monitoring , the Input Data Module is as an open-access, open-source tool. It is easy to use, designed as an intuitive auto-assessment system that simplifies the evaluation process while decreasing complexity and increasing reproducibility. The tool is immediately available to the aquaculture and MSP community for direct use, adaptation, and integration into planning processes following this presentation.