Species abundance data for marine epifauna enumerated from towed under water video system footage sampled in Lyme Bay, SW England April 2014.

This dataset comprises species abundance data for marine epifauna from towed video surveys undertaken to test the resilience of marine epifaunal communities in marine protected areas in response to storm disturbance. The survey was undertaken in Lyme Bay Southwest England in April 2014. During the s...

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Bibliographic Details
Main Authors: Sheehan, Emma, Holmes, Luke, Attrill, Martin
Format: Dataset
Language:English
Published: British Oceanographic Data Centre, National Oceanography Centre, NERC, UK 2020
Subjects:
Online Access:https://dx.doi.org/10.5285/a733c97b-420d-0323-e053-6c86abc0b0c3
https://www.bodc.ac.uk/data/published_data_library/catalogue/10.5285/a733c97b-420d-0323-e053-6c86abc0b0c3/
id ftdatacite:10.5285/a733c97b-420d-0323-e053-6c86abc0b0c3
record_format openpolar
spelling ftdatacite:10.5285/a733c97b-420d-0323-e053-6c86abc0b0c3 2023-05-15T17:33:44+02:00 Species abundance data for marine epifauna enumerated from towed under water video system footage sampled in Lyme Bay, SW England April 2014. Sheehan, Emma Holmes, Luke Attrill, Martin 2020 Delimited https://dx.doi.org/10.5285/a733c97b-420d-0323-e053-6c86abc0b0c3 https://www.bodc.ac.uk/data/published_data_library/catalogue/10.5285/a733c97b-420d-0323-e053-6c86abc0b0c3/ en eng British Oceanographic Data Centre, National Oceanography Centre, NERC, UK biota oceans dataset Dataset 2020 ftdatacite https://doi.org/10.5285/a733c97b-420d-0323-e053-6c86abc0b0c3 2021-11-05T12:55:41Z This dataset comprises species abundance data for marine epifauna from towed video surveys undertaken to test the resilience of marine epifaunal communities in marine protected areas in response to storm disturbance. The survey was undertaken in Lyme Bay Southwest England in April 2014. During the survey, 60 sites were surveyed using a towed underwater flying HD video camera along 200 metre transects. The entire transect was viewed at normal speed to enumerate benthic taxa present between the two laser dots. Densities were calculated using estimates of the video transect area. During January and February 2014, a series of storms swept the North Atlantic, generating some of the highest waves ever recorded in Western Europe with exceptionally long wave periods. The south-west coasts of the UK were heavily impacted by these storms, including Lyme Bay, an area which includes the first large MPA in the UK, designated in 2008. The survey was undertaken by Dr. Emma Sheehan, Dr. Luke Holmes, and Professor Martin Attrill of the University of Plymouth as part of the NERC Discovery Science grant NE/M005208/1 titled "Testing resilience in Marine Protected Areas using storm disturbance in Lyme Bay, SW England". Dataset North Atlantic DataCite Metadata Store (German National Library of Science and Technology) Luke ENVELOPE(-94.855,-94.855,56.296,56.296)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic biota
oceans
spellingShingle biota
oceans
Sheehan, Emma
Holmes, Luke
Attrill, Martin
Species abundance data for marine epifauna enumerated from towed under water video system footage sampled in Lyme Bay, SW England April 2014.
topic_facet biota
oceans
description This dataset comprises species abundance data for marine epifauna from towed video surveys undertaken to test the resilience of marine epifaunal communities in marine protected areas in response to storm disturbance. The survey was undertaken in Lyme Bay Southwest England in April 2014. During the survey, 60 sites were surveyed using a towed underwater flying HD video camera along 200 metre transects. The entire transect was viewed at normal speed to enumerate benthic taxa present between the two laser dots. Densities were calculated using estimates of the video transect area. During January and February 2014, a series of storms swept the North Atlantic, generating some of the highest waves ever recorded in Western Europe with exceptionally long wave periods. The south-west coasts of the UK were heavily impacted by these storms, including Lyme Bay, an area which includes the first large MPA in the UK, designated in 2008. The survey was undertaken by Dr. Emma Sheehan, Dr. Luke Holmes, and Professor Martin Attrill of the University of Plymouth as part of the NERC Discovery Science grant NE/M005208/1 titled "Testing resilience in Marine Protected Areas using storm disturbance in Lyme Bay, SW England".
format Dataset
author Sheehan, Emma
Holmes, Luke
Attrill, Martin
author_facet Sheehan, Emma
Holmes, Luke
Attrill, Martin
author_sort Sheehan, Emma
title Species abundance data for marine epifauna enumerated from towed under water video system footage sampled in Lyme Bay, SW England April 2014.
title_short Species abundance data for marine epifauna enumerated from towed under water video system footage sampled in Lyme Bay, SW England April 2014.
title_full Species abundance data for marine epifauna enumerated from towed under water video system footage sampled in Lyme Bay, SW England April 2014.
title_fullStr Species abundance data for marine epifauna enumerated from towed under water video system footage sampled in Lyme Bay, SW England April 2014.
title_full_unstemmed Species abundance data for marine epifauna enumerated from towed under water video system footage sampled in Lyme Bay, SW England April 2014.
title_sort species abundance data for marine epifauna enumerated from towed under water video system footage sampled in lyme bay, sw england april 2014.
publisher British Oceanographic Data Centre, National Oceanography Centre, NERC, UK
publishDate 2020
url https://dx.doi.org/10.5285/a733c97b-420d-0323-e053-6c86abc0b0c3
https://www.bodc.ac.uk/data/published_data_library/catalogue/10.5285/a733c97b-420d-0323-e053-6c86abc0b0c3/
long_lat ENVELOPE(-94.855,-94.855,56.296,56.296)
geographic Luke
geographic_facet Luke
genre North Atlantic
genre_facet North Atlantic
op_doi https://doi.org/10.5285/a733c97b-420d-0323-e053-6c86abc0b0c3
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