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

Integrated geospatial datasets to inform marine spatial planning and impact assessment in waters surrounding the United Kingdom
Integrated geospatial datasets to inform marine spatial planning and impact assessment in waters surrounding the United Kingdom
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.
2052-4463
Putuhena, Hugo
45e8dcec-d00a-49cb-8a25-70ea7f7b65a9
Williams, Tom
efc97aa3-a180-46ac-b451-15ff48860a1f
Sturt, Fraser
442e14e1-136f-4159-bd8e-b002bf6b95f6
White, Dave
a986033d-d26d-4419-a3f3-20dc54efce93
Solan, Martin
c28b294a-1db6-4677-8eab-bd8d6221fecf
Godbold, Jasmin
df6da569-e7ea-43ca-8a95-a563829fb88a
Gourvenec, Susan
6ff91ad8-1a91-42fe-a3f4-1b5d6f5ce0b8
Putuhena, Hugo
45e8dcec-d00a-49cb-8a25-70ea7f7b65a9
Williams, Tom
efc97aa3-a180-46ac-b451-15ff48860a1f
Sturt, Fraser
442e14e1-136f-4159-bd8e-b002bf6b95f6
White, Dave
a986033d-d26d-4419-a3f3-20dc54efce93
Solan, Martin
c28b294a-1db6-4677-8eab-bd8d6221fecf
Godbold, Jasmin
df6da569-e7ea-43ca-8a95-a563829fb88a
Gourvenec, Susan
6ff91ad8-1a91-42fe-a3f4-1b5d6f5ce0b8

Putuhena, Hugo, Williams, Tom, Sturt, Fraser, White, Dave, Solan, Martin, Godbold, Jasmin and Gourvenec, Susan (2025) Integrated geospatial datasets to inform marine spatial planning and impact assessment in waters surrounding the United Kingdom. Scientific Data, 12 (1), [1845]. (doi:10.1038/s41597-025-05950-5).

Record type: Article

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.

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More information

Accepted/In Press date: 4 September 2025
Published date: 20 November 2025

Identifiers

Local EPrints ID: 507169
URI: http://eprints.soton.ac.uk/id/eprint/507169
ISSN: 2052-4463
PURE UUID: 7dc9ec7e-3282-4aa8-8d74-387c802aeee6
ORCID for Hugo Putuhena: ORCID iD orcid.org/0000-0003-1947-6984
ORCID for Tom Williams: ORCID iD orcid.org/0000-0002-6616-955X
ORCID for Fraser Sturt: ORCID iD orcid.org/0000-0002-3010-990X
ORCID for Dave White: ORCID iD orcid.org/0000-0002-2968-582X
ORCID for Martin Solan: ORCID iD orcid.org/0000-0001-9924-5574
ORCID for Jasmin Godbold: ORCID iD orcid.org/0000-0001-5558-8188
ORCID for Susan Gourvenec: ORCID iD orcid.org/0000-0002-2628-7914

Catalogue record

Date deposited: 28 Nov 2025 17:36
Last modified: 02 Dec 2025 03:03

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Contributors

Author: Hugo Putuhena ORCID iD
Author: Tom Williams ORCID iD
Author: Fraser Sturt ORCID iD
Author: Dave White ORCID iD
Author: Martin Solan ORCID iD
Author: Jasmin Godbold ORCID iD
Author: Susan Gourvenec ORCID iD

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