DOI: 10.14466/CefasDataHub.104

Modelled gridded data of aquaculture suitability in the Dorset & East Devon Fisheries Local Action Group area, 2018-2019

Description

Modelled raster layers (GeoTiff format) of aquaculture suitability with values ranging between 0 and 1, where the value 0 represents unsuitable and 1 fully suitable. Gridded data (GeoTiff format) produced in the context of the FLAG Aquaculture Mapping project (2018-2019). The gridded layers were derived by modelling a suitability score based on environmental requirements for each specific combination of species and culture method. The purpose of the project was to identify and map areas best suited (and with least conflict) to specific types of sustainable marine aquaculture, within the boundaries of the Dorset and East Devon Fisheries Local Action Group (FLAG) area. The aquaculture suitability layers were derived by considering environmental requirements for various combinations of aquaculture species and growing system, to identify areas of suitability for each species/system combination. Suitability is modelled solely from the perspective of physical environmental requirements, and does not take conservation and legislative boundaries, human infrastructure and activity constraints, into consideration. The filenames of layers representing unique species/system combinations are in the format: ‘Dorset EDevon FLAG species-name growing-system AquaSuitability.tif’. The data layers represent a broad overview of aquaculture suitability in the Dorset and East Devon FLAG area, but detailed site-specific investigations would be required for local planning applications and licensing purposes.

Contributors

Posen, Paulette / Heal, Richard / Beraud, Claire / Tew, Ian / Kershaw, Simon / Jeffery, Keith

Subject

Aquaculture

Start Date

01/04/2018

End Date

31/12/2019

Year Published

2020

Version

1

Citation

Posen et al (2020). Modelled gridded data of aquaculture suitability in the Dorset & East Devon Fisheries Local Action Group area, 2018-2019. Cefas, UK. V1. doi: https://doi.org/10.14466/CefasDataHub.104

DOI

10.14466/CefasDataHub.104