Spatio-temporal variability of Nephrops norvegicus density distribution on the Aran grounds and its implications for ecosystem-based fishery management

  • Hocine A. Benchikh
  • , Edward A. Codling
  • , Colm Lordan
  • , Emer Rogan

Research output: Contribution to journalArticlepeer-review

Abstract

Under the EU biodiversity strategy, changes in fishery management are expected to move fishing activity in Europe towards an ecosystem-based approach by 2030 and to achieve this goal it is essential to identify the spatial distribution of the most valuable commercial fisheries. Using geo-referenced census data of Nephrops norvegicus burrows from underwater TV surveys, the spatio-temporal distribution patterns on the Aran grounds (west of Ireland) from 2002 to 2018 was investigated in relation to habitat and fishing exploitation. A geostatistical approach revealed a patchy distribution, varying in size and intensity over the years. The mud content of the seabed was not influential in explaining spatial variability of burrow distribution. Spatio-temporal analysis showed an overall depletion of burrow abundance over the central area of the study contrasting with its margins and leading to an increase in vessel search activity towards the periphery. This study of the Aran ground stock revealed a decreasing trend in N. norvegicus density from 2002 to 2018, despite increasing landings. It also highlighted spatially variable adverse effects of fishing pressure across different areas. These findings may inform habitat conservation planning in line with EU regulations on fishing impacts.

Original languageEnglish
Article numberfsaf177
JournalICES Journal of Marine Science
Volume82
Issue number10
DOIs
Publication statusPublished - 1 Oct 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 14 - Life Below Water
    SDG 14 Life Below Water
  2. SDG 15 - Life on Land
    SDG 15 Life on Land

Keywords

  • burrow density
  • empirical orthogonal function analysis
  • geostatistics
  • maximum covariance analysis
  • underwater TV surveys

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