# Integrated geospatial datasets to inform marine spatial planning and impact assessment in waters surrounding the United Kingdom

**Authors:** Hugo Putuhena, Thomas J. Williams, Fraser Sturt, David White, Martin Solan, Jasmin A. Godbold, Susan Gourvenec

PMC · DOI: 10.1038/s41597-025-05950-5 · Scientific Data · 2025-11-20

## TL;DR

This paper creates a comprehensive geospatial dataset to help assess human impacts on UK coastal and shelf seas for better marine planning.

## Contribution

The paper introduces a harmonized, open-access geospatial dataset for the UK's exclusive economic zone.

## Key findings

- A dataset of 337 geospatial layers was compiled from 35 sources for the UK's marine area.
- The dataset includes processed data with uncertainties and spatial processes for each layer.
- The dataset supports improved modeling and understanding of cumulative human impacts on marine systems.

## Abstract

The rapid expansion of human activity in coastal and shelf seas provides impetus to investigate increased risks to ocean health and social-ecological resilience, but progress in understanding the role and relative importance of associated pressures is frustrated by a lack of a routinely available set of processed geospatial information. Here, we pool 337 standardised geospatial layers derived from 35 sources, including anthropogenic activities, ecological and geoscience assets and features, and met-ocean conditions for the exclusive economic zone surrounding the United Kingdom. Our compilation has undergone pre-processing: spatial interpolation, density estimation, data resampling and extraction, and harmonisation to populate ~10 km2 grids. We provide source version history, an open-access interactive portal, and the details of the spatial processes we used to create each layer, including data quality and uncertainties for layers generated by interpolation/density estimation. Our motivation is to provide reference information and spatio-temporal context, encourage the exploration and inclusion of any inter-dependencies between layers when determining system response, improve mechanistic understanding of observed patterns, and enable better parameterisation of models for those tasked with assessing the compound and cumulative effects of anthropogenic activity.

## Full-text entities

- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12635140/full.md

## References

46 references — full list in the complete paper: https://tomesphere.com/paper/PMC12635140/full.md

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Source: https://tomesphere.com/paper/PMC12635140