Disko Fan Conservation Area in the Davis Strait (Eastern Arctic) - Epibenthic Megafauna Database

Occurrence Observation
Latest version published by Conservation of Arctic Flora and Fauna on Aug 26, 2019 Conservation of Arctic Flora and Fauna
Home:
https://data.mendeley.com/datasets/cr3xvztwrj/1
Publication date:
26 August 2019
License:
CC-BY 4.0

Download the latest version of this resource data as a Darwin Core Archive (DwC-A) or the resource metadata as EML or RTF:

Data as a DwC-A file download 9,594 records in English (145 KB) - Update frequency: unknown
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Metadata as an RTF file download in English (12 KB)

Description

In 2012 and 2013, Fisheries and Oceans Canada conducted benthic imagery surveys in the Davis Strait and Baffin Basin in two areas then closed to bottom fishing, the Hatton Basin Voluntary Closure (now the Hatton Basin Conservation Area) and the Narwhal Closure (now partially in the Disko Fan Conservation Area). The photo transects were established as long-term biodiversity monitoring sites to monitor the impact of human activity, including climate change, on the region’s benthic marine biota in accordance with the protocols of the Circumpolar Biodiversity Monitoring Program established by the Council of Arctic Flora and Fauna. These images were analyzed in a techncial report that summarises the epibenthic megafauna found in seven image transects from the Disko Fan Conservation Area. A total of 480 taxa were found, 280 of which were identified as belonging to one of the following phyla: Annelida, Arthropoda, Brachiopoda, Bryozoa, Chordata, Cnidaria, Echinodermata, Mollusca, Nemertea, and Porifera. The remaining 200 taxa could not be assigned to a phylum and were categorised as Unidentified. Each taxon was identified to the lowest possible taxonomic level, typically class, order, or family. The summaries for each of the taxa include their identification numbers in the World Register of Marine Species and Integrated Taxonomic Information System’s databases, taxonomic hierarchies, images, and written descriptions. The report is intended to provide baseline documentation of the epibenthic megafauna in the Disko Fan Conservation Area, and serve as a taxonomic resource for future image analyses in the Arctic. Baker, E., Beazley, L., McMillan, A., Rowsell, J. and Kenchington, E. 2018. Epibenthic Megafauna of the Disko Fan Conservation Area in the Davis Strait (Eastern Arctic) Identified from In Situ Benthic Image Transects. Can. Tech. Rep. Fish. Aquat. Sci. 3272: vi + 388 p.

Data Records

The data in this occurrence resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 9,594 records.

This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.

Versions

The table below shows only published versions of the resource that are publicly accessible.

Rights

Researchers should respect the following rights statement:

The publisher and rights holder of this work is Conservation of Arctic Flora and Fauna. This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF Registration

This resource has been registered with GBIF, and assigned the following GBIF UUID: d7688dd5-9cd0-4de7-8873-e76b709ee082.  Conservation of Arctic Flora and Fauna publishes this resource, and is itself registered in GBIF as a data publisher endorsed by Participant Node Managers Committee.

Keywords

Observation; CAFF; CBMP; Marine; Davis Strait; Disko Fan; Benthic; Oceans; Observation

External data

The resource data is also available in other formats

ABDS http://geo.abds.is/geonetwork/srv/eng/catalog.search#/metadata/f68086a7-d262-4963-9049-8ed45685aa01 UTF-8 access database

Contacts

Ellen Kenchington
  • Research Scientist
Fisheries and Oceans Canada – Maritime Region
  • Bedford Institute of Oceanography, 1 Challenger Drive
603 Akureyri
Nova Scotia
IS
  • +3544623357
Hólmgrímur Helgason
  • Metadata Provider ●
  • User
  • Data Manager
Conservation of Arctic Flora and Fauna (CAFF)
  • Borgir, Nordurslod
603 Akureyri
IS
  • +3544623357
Ellen Kenchington
  • Research Scientist
Fisheries and Oceans Canada – Maritime Region
  • Bedford Institute of Oceanography, 1 Challenger Drive
B2Y 4A2 Dartmouth
Nova Scotia
CA
Ellen Kenchington
Fisheries and Oceans Canada – Maritime Region
  • Bedford Institute of Oceanography, 1 Challenger Drive
B2Y 4A2 Dartmouth
Nova Scotia
CA
Tom Barry
Conservation of Arctic Flora and Fauna (CAFF)
  • Borgir, Nordurslod
603 Akureyri
IS
  • +3544623352

Geographic Coverage

Disko Fan Conservation Area in the Davis Strait (Eastern Arctic)

Bounding Coordinates South West [66.916, -61.875], North East [69.287, -56.074]

Sampling Methods

The sampling methodology followed the protocols outlined in the Circumpolar Biodiversity Monitoring Program (CBMP), created by the Council of Arctic Flora and Fauna (CAFF). The mandate of CAFF involves the conservation of Arctic biodiversity and monitoring the long-term impacts of human activities in the region (www.caff.is). As part of this effort, the CBMP aims to establish and harmonise biodiversity monitoring efforts by standardising data collection methods, integrating existing datasets, and improving communication between existing monitoring organisations. While trawl sampling is considered essential in CBMP protocol, image and/or video transects are recommended as a complement to it (Gill et al., 2011). The images collected from these areas were therefore part of a broader sampling effort in which physical samples of megafauna, macrofauna, meiofauna, microbes and abiotic parameters were collected with the goal of establishing baseline biodiversity data for both the sites and the region.

Study Extent The images examined in this report came from seven image transects conducted within the former Narwhal Over-wintering Deep-Sea Conservation Area in Baffin Bay. The depths at which images were collected ranged from 400-1000 metres, with individual transect lines running along depth contours of 400 metres, 600 metres, or 1000 metres. Transects were 1-2 kilometres in length. The image data were obtained using the 4K-Camera, or 4KCam , an underwater drop camera system consisting of a high-resolution digital camera (Canon Rebel Eos Ti 12 megapixel) and two flashes enclosed in a cage that permits it to collect images at depths of up to 4 kilometres below the sea surface (Beazley and Kenchington, 2015). The 4KCam was deployed on a winch line over the side of the vessel and towed above the seafloor. The 4KCam’s distance from the seafloor was controlled by raising and lowering the winch line, and the camera and flashes were triggered to collect images each time the lead weight attached to the system made contact with the bottom. Images were collected at 30-60 second intervals for each transect line. As there was no feed to the vessel, all photo locations were blind drops. Each image was assigned a photo file name that consisted of the Consecutive Operation Number (CON) that was associated with the transect and an image number

Method step description:

  1. The images from each transect were examined for their quality prior to analysis, and those that were too dark, too high off the bottom were discarded. Images obscured by sediment clouds covering at least half of the photo were also not analysed. The remaining images were corrected in Adobe Photoshop CS2 using the AutoLevel and SharpenMore functions to optimise their contrast and exposure levels, colour balance, and sharpness. A 4x3 grid layer dividing each image into twelve square cells labeled A-L was then superimposed on each image using batch-processing and Adobe Action Sets, followed by a layer of twelve 1-cm scale bars. Due to the inverse halo effect, a consistent band of cells at the bottom of each image (I-L) was darker than the cells above it (A-H). When analysing the bottom cells, the brightness was increased by 20-25% and the contrast was altered by +10%. The images in this dataset all have these conditions applied to them and include the grid and scale bar overlays.

Additional Metadata