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Modeled density map of Syringammina fragillissima at a fine scale from the Rockall Bank in North East Atlantic between 1981-2010
Resource ID
6dcab336-cd52-4164-b726-e5e8324c78b0
Title
Modeled density map of Syringammina fragillissima at a fine scale from the Rockall Bank in North East Atlantic between 1981-2010
Date
Nov. 9, 2022, 3:36 p.m., Publication
Abstract
Fine scale density map of the xenophyophores Syringammina fragillissima (ind. m-2) at a 1200m deep station off Rockall Bank (North East Atlantic) by The University of Plymouth for the Deeplinks project. The drivers of the distribution of this species are poorly known despise its Vulnerable Marine Ecosystems (VME) status and more knowledge on its biology is needed to efficiently manage its conservation. A Convolutional Neural Network was used to measure its density in 58,147 images collected by the AUV Autosub6000 during the JC136 cruise in May 2016. Several environmental data layers (topographic and oceanographic) at 2.5 x 2.5 m resolution were collected by the AUV during the same cruise and used in modelling. Random Forest regression was used to predict the density of the target species in the extent of the environmental layer representing around 3 km2.
Edition
--
Responsible
NPiechaud-355
Point of Contact
Piechaud
nils.piechaud@hi.no
Purpose
--
Maintenance Frequency
None
Type
grid
Restrictions
otherRestrictions
License
Attribution-ShareAlike 4.0 International
Language
eng
Temporal Extent
Start
Jan. 1, 1981, midnight
End
Jan. 1, 2010, midnight
Supplemental Information
https://www.vliz.be/en/imis?module=dataset&dasid=8141
Data Quality
Density was measured according to: Piechaud, N. and Howell, K.L., 2022. Fast and accurate mapping of fine scale abundance of a VME in the deep sea with computer vision. Ecological Informatics, 71, p.101786. https://doi.org/10.1016/j.ecoinf.2022.101786
Extent
  • x0: 583202.5000000009
  • x1: 586557.5000000009
  • y0: 6471505.000000002
  • y1: 6474070.000000002
Spatial Reference System Identifier
EPSG:32628
Keywords
no keywords
Category
Biota
Regions
Global