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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Bibliographic Details
Main Authors: Benjamin J. Saunders (6316184), Ronen Galaiduk (10681537), Karina Inostroza (11398511), Elisabeth M. V. Myers (11398514), Jordan S. Goetze (5032067), Mark Westera (11398517), Luke Twomey (11398520), Denise McCorry (11398523), Euan S. Harvey (7877738)
Format: Dataset
Language:unknown
Published: 2021
Subjects:
ROV
CTD
Online Access:https://doi.org/10.3389/fmars.2021.608665.s001
id ftsmithonian:oai:figshare.com:article/16576292
record_format openpolar
spelling ftsmithonian:oai:figshare.com:article/16576292 2023-05-15T13:44:11+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 (6316184) Ronen Galaiduk (10681537) Karina Inostroza (11398511) Elisabeth M. V. Myers (11398514) Jordan S. Goetze (5032067) Mark Westera (11398517) Luke Twomey (11398520) Denise McCorry (11398523) Euan S. Harvey (7877738) 2021-09-07T04:08:08Z https://doi.org/10.3389/fmars.2021.608665.s001 unknown 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 doi:10.3389/fmars.2021.608665.s001 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 ftsmithonian https://doi.org/10.3389/fmars.2021.608665.s001 2021-12-20T02:48:09Z 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 surveying fish in situ along transects of defined dimensions it is possible to produce species distribution models that will facilitate a greater insight into the ecology of deep-water marine systems. Dataset Antarc* Antarctic Unknown Antarctic Indian
institution Open Polar
collection Unknown
op_collection_id ftsmithonian
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 (6316184)
Ronen Galaiduk (10681537)
Karina Inostroza (11398511)
Elisabeth M. V. Myers (11398514)
Jordan S. Goetze (5032067)
Mark Westera (11398517)
Luke Twomey (11398520)
Denise McCorry (11398523)
Euan S. Harvey (7877738)
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 surveying fish in situ along transects of defined dimensions it is possible to produce species distribution models that will facilitate a greater insight into the ecology of deep-water marine systems.
format Dataset
author Benjamin J. Saunders (6316184)
Ronen Galaiduk (10681537)
Karina Inostroza (11398511)
Elisabeth M. V. Myers (11398514)
Jordan S. Goetze (5032067)
Mark Westera (11398517)
Luke Twomey (11398520)
Denise McCorry (11398523)
Euan S. Harvey (7877738)
author_facet Benjamin J. Saunders (6316184)
Ronen Galaiduk (10681537)
Karina Inostroza (11398511)
Elisabeth M. V. Myers (11398514)
Jordan S. Goetze (5032067)
Mark Westera (11398517)
Luke Twomey (11398520)
Denise McCorry (11398523)
Euan S. Harvey (7877738)
author_sort Benjamin J. Saunders (6316184)
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
geographic Antarctic
Indian
geographic_facet Antarctic
Indian
genre Antarc*
Antarctic
genre_facet Antarc*
Antarctic
op_relation 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
doi:10.3389/fmars.2021.608665.s001
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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