Data_Sheet_1_Quantifying Patterns in Fish Assemblages and Habitat Use Along a Deep Submarine Canyon-Valley Feature Using a Remotely Operated Vehicle.pdf

The aim of this study was to document the composition and distribution of deep-water fishes associated with a submarine canyon-valley feature. A work-class Remotely Operated Vehicle (ROV) fitted with stereo-video cameras was used to record fish abundance and assemblage composition along transects at...

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Main Authors: Benjamin J. Saunders, Ronen Galaiduk, Karina Inostroza, Elisabeth M. V. Myers, Jordan S. Goetze, Mark Westera, Luke Twomey, Denise McCorry, Euan S. Harvey
Format: Dataset
Language:unknown
Published: 2021
Subjects:
ROV
CTD
Online Access:https://doi.org/10.3389/fmars.2021.608665.s001
https://figshare.com/articles/dataset/Data_Sheet_1_Quantifying_Patterns_in_Fish_Assemblages_and_Habitat_Use_Along_a_Deep_Submarine_Canyon-Valley_Feature_Using_a_Remotely_Operated_Vehicle_pdf/16576292
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record_format openpolar
spelling ftfrontimediafig:oai:figshare.com:article/16576292 2023-05-15T13:57:38+02:00 Data_Sheet_1_Quantifying Patterns in Fish Assemblages and Habitat Use Along a Deep Submarine Canyon-Valley Feature Using a Remotely Operated Vehicle.pdf Benjamin J. Saunders Ronen Galaiduk Karina Inostroza Elisabeth M. V. Myers Jordan S. Goetze Mark Westera Luke Twomey Denise McCorry Euan S. Harvey 2021-09-07T04:08:08Z https://doi.org/10.3389/fmars.2021.608665.s001 https://figshare.com/articles/dataset/Data_Sheet_1_Quantifying_Patterns_in_Fish_Assemblages_and_Habitat_Use_Along_a_Deep_Submarine_Canyon-Valley_Feature_Using_a_Remotely_Operated_Vehicle_pdf/16576292 unknown doi:10.3389/fmars.2021.608665.s001 https://figshare.com/articles/dataset/Data_Sheet_1_Quantifying_Patterns_in_Fish_Assemblages_and_Habitat_Use_Along_a_Deep_Submarine_Canyon-Valley_Feature_Using_a_Remotely_Operated_Vehicle_pdf/16576292 CC BY 4.0 CC-BY Oceanography Marine Biology Marine Geoscience Biological Oceanography Chemical Oceanography Physical Oceanography Marine Engineering deep-water habitat ROV stereo-video CTD species distribution model submarine canyon north-western Australia Dataset 2021 ftfrontimediafig https://doi.org/10.3389/fmars.2021.608665.s001 2021-09-08T23:00:07Z The aim of this study was to document the composition and distribution of deep-water fishes associated with a submarine canyon-valley feature. A work-class Remotely Operated Vehicle (ROV) fitted with stereo-video cameras was used to record fish abundance and assemblage composition along transects at water depths between 300 and 900 metres. Three areas (A, B, C) were sampled along a submarine canyon-valley feature on the continental slope of tropical north-western Australia. Water conductivity/salinity, temperature, and depth were also collected using an ROV mounted Conductivity Temperature and Depth (CTD) instrument. Multivariate analyses were used to investigate fish assemblage composition, and species distribution models were fitted using boosted regression trees. These models were used to generate predictive maps of the occurrence of four abundant taxa over the survey areas. CTD data identified three water masses, tropical surface water, South Indian Central Water (centred ∼200 m depth), and a lower salinity Antarctic Intermediate Water (AAIW) ∼550 m depth. Distinct fish assemblages were found among areas and between canyon-valley and non-canyon habitats. The canyon-valley habitats supported more fish and taxa than non-canyon habitats. The fish assemblages of the deeper location (∼700–900 m, Area A) were different to that of the shallower locations (∼400–700 m, Areas B and C). Deep-water habitats were characterised by a Paraliparis (snail fish) species, while shallower habitats were characterised by the family Macrouridae (rat tails). Species distribution models highlighted the fine-scale environmental niche associations of the four most abundant taxa. The survey area had a high diversity of fish taxa and was dominated by the family Macrouridae. The deepest habitat had a different fish fauna to the shallower areas. This faunal break can be attributed to the influence of AAIW. ROVs provide a platform on which multiple instruments can be mounted and complementary streams of data collected simultaneously. By ... Dataset Antarc* Antarctic Frontiers: Figshare Antarctic Indian
institution Open Polar
collection Frontiers: Figshare
op_collection_id ftfrontimediafig
language unknown
topic Oceanography
Marine Biology
Marine Geoscience
Biological Oceanography
Chemical Oceanography
Physical Oceanography
Marine Engineering
deep-water
habitat
ROV
stereo-video
CTD
species distribution model
submarine canyon
north-western Australia
spellingShingle Oceanography
Marine Biology
Marine Geoscience
Biological Oceanography
Chemical Oceanography
Physical Oceanography
Marine Engineering
deep-water
habitat
ROV
stereo-video
CTD
species distribution model
submarine canyon
north-western Australia
Benjamin J. Saunders
Ronen Galaiduk
Karina Inostroza
Elisabeth M. V. Myers
Jordan S. Goetze
Mark Westera
Luke Twomey
Denise McCorry
Euan S. Harvey
Data_Sheet_1_Quantifying Patterns in Fish Assemblages and Habitat Use Along a Deep Submarine Canyon-Valley Feature Using a Remotely Operated Vehicle.pdf
topic_facet Oceanography
Marine Biology
Marine Geoscience
Biological Oceanography
Chemical Oceanography
Physical Oceanography
Marine Engineering
deep-water
habitat
ROV
stereo-video
CTD
species distribution model
submarine canyon
north-western Australia
description The aim of this study was to document the composition and distribution of deep-water fishes associated with a submarine canyon-valley feature. A work-class Remotely Operated Vehicle (ROV) fitted with stereo-video cameras was used to record fish abundance and assemblage composition along transects at water depths between 300 and 900 metres. Three areas (A, B, C) were sampled along a submarine canyon-valley feature on the continental slope of tropical north-western Australia. Water conductivity/salinity, temperature, and depth were also collected using an ROV mounted Conductivity Temperature and Depth (CTD) instrument. Multivariate analyses were used to investigate fish assemblage composition, and species distribution models were fitted using boosted regression trees. These models were used to generate predictive maps of the occurrence of four abundant taxa over the survey areas. CTD data identified three water masses, tropical surface water, South Indian Central Water (centred ∼200 m depth), and a lower salinity Antarctic Intermediate Water (AAIW) ∼550 m depth. Distinct fish assemblages were found among areas and between canyon-valley and non-canyon habitats. The canyon-valley habitats supported more fish and taxa than non-canyon habitats. The fish assemblages of the deeper location (∼700–900 m, Area A) were different to that of the shallower locations (∼400–700 m, Areas B and C). Deep-water habitats were characterised by a Paraliparis (snail fish) species, while shallower habitats were characterised by the family Macrouridae (rat tails). Species distribution models highlighted the fine-scale environmental niche associations of the four most abundant taxa. The survey area had a high diversity of fish taxa and was dominated by the family Macrouridae. The deepest habitat had a different fish fauna to the shallower areas. This faunal break can be attributed to the influence of AAIW. ROVs provide a platform on which multiple instruments can be mounted and complementary streams of data collected simultaneously. By ...
format Dataset
author Benjamin J. Saunders
Ronen Galaiduk
Karina Inostroza
Elisabeth M. V. Myers
Jordan S. Goetze
Mark Westera
Luke Twomey
Denise McCorry
Euan S. Harvey
author_facet Benjamin J. Saunders
Ronen Galaiduk
Karina Inostroza
Elisabeth M. V. Myers
Jordan S. Goetze
Mark Westera
Luke Twomey
Denise McCorry
Euan S. Harvey
author_sort Benjamin J. Saunders
title Data_Sheet_1_Quantifying Patterns in Fish Assemblages and Habitat Use Along a Deep Submarine Canyon-Valley Feature Using a Remotely Operated Vehicle.pdf
title_short Data_Sheet_1_Quantifying Patterns in Fish Assemblages and Habitat Use Along a Deep Submarine Canyon-Valley Feature Using a Remotely Operated Vehicle.pdf
title_full Data_Sheet_1_Quantifying Patterns in Fish Assemblages and Habitat Use Along a Deep Submarine Canyon-Valley Feature Using a Remotely Operated Vehicle.pdf
title_fullStr Data_Sheet_1_Quantifying Patterns in Fish Assemblages and Habitat Use Along a Deep Submarine Canyon-Valley Feature Using a Remotely Operated Vehicle.pdf
title_full_unstemmed Data_Sheet_1_Quantifying Patterns in Fish Assemblages and Habitat Use Along a Deep Submarine Canyon-Valley Feature Using a Remotely Operated Vehicle.pdf
title_sort data_sheet_1_quantifying patterns in fish assemblages and habitat use along a deep submarine canyon-valley feature using a remotely operated vehicle.pdf
publishDate 2021
url https://doi.org/10.3389/fmars.2021.608665.s001
https://figshare.com/articles/dataset/Data_Sheet_1_Quantifying_Patterns_in_Fish_Assemblages_and_Habitat_Use_Along_a_Deep_Submarine_Canyon-Valley_Feature_Using_a_Remotely_Operated_Vehicle_pdf/16576292
geographic Antarctic
Indian
geographic_facet Antarctic
Indian
genre Antarc*
Antarctic
genre_facet Antarc*
Antarctic
op_relation doi:10.3389/fmars.2021.608665.s001
https://figshare.com/articles/dataset/Data_Sheet_1_Quantifying_Patterns_in_Fish_Assemblages_and_Habitat_Use_Along_a_Deep_Submarine_Canyon-Valley_Feature_Using_a_Remotely_Operated_Vehicle_pdf/16576292
op_rights CC BY 4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.3389/fmars.2021.608665.s001
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