Image_2_Quantifying Patterns in Fish Assemblages and Habitat Use Along a Deep Submarine Canyon-Valley Feature Using a Remotely Operated Vehicle.TIF
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...
Main Authors: | , , , , , , , , |
---|---|
Format: | Still Image |
Language: | unknown |
Published: |
2021
|
Subjects: | |
Online Access: | https://doi.org/10.3389/fmars.2021.608665.s003 |
id |
ftsmithonian:oai:figshare.com:article/16576298 |
---|---|
record_format |
openpolar |
spelling |
ftsmithonian:oai:figshare.com:article/16576298 2023-05-15T13:44:11+02:00 Image_2_Quantifying Patterns in Fish Assemblages and Habitat Use Along a Deep Submarine Canyon-Valley Feature Using a Remotely Operated Vehicle.TIF 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.s003 unknown https://figshare.com/articles/figure/Image_2_Quantifying_Patterns_in_Fish_Assemblages_and_Habitat_Use_Along_a_Deep_Submarine_Canyon-Valley_Feature_Using_a_Remotely_Operated_Vehicle_TIF/16576298 doi:10.3389/fmars.2021.608665.s003 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 Image Figure 2021 ftsmithonian https://doi.org/10.3389/fmars.2021.608665.s003 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. Still Image 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) Image_2_Quantifying Patterns in Fish Assemblages and Habitat Use Along a Deep Submarine Canyon-Valley Feature Using a Remotely Operated Vehicle.TIF |
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 |
Still Image |
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 |
Image_2_Quantifying Patterns in Fish Assemblages and Habitat Use Along a Deep Submarine Canyon-Valley Feature Using a Remotely Operated Vehicle.TIF |
title_short |
Image_2_Quantifying Patterns in Fish Assemblages and Habitat Use Along a Deep Submarine Canyon-Valley Feature Using a Remotely Operated Vehicle.TIF |
title_full |
Image_2_Quantifying Patterns in Fish Assemblages and Habitat Use Along a Deep Submarine Canyon-Valley Feature Using a Remotely Operated Vehicle.TIF |
title_fullStr |
Image_2_Quantifying Patterns in Fish Assemblages and Habitat Use Along a Deep Submarine Canyon-Valley Feature Using a Remotely Operated Vehicle.TIF |
title_full_unstemmed |
Image_2_Quantifying Patterns in Fish Assemblages and Habitat Use Along a Deep Submarine Canyon-Valley Feature Using a Remotely Operated Vehicle.TIF |
title_sort |
image_2_quantifying patterns in fish assemblages and habitat use along a deep submarine canyon-valley feature using a remotely operated vehicle.tif |
publishDate |
2021 |
url |
https://doi.org/10.3389/fmars.2021.608665.s003 |
geographic |
Antarctic Indian |
geographic_facet |
Antarctic Indian |
genre |
Antarc* Antarctic |
genre_facet |
Antarc* Antarctic |
op_relation |
https://figshare.com/articles/figure/Image_2_Quantifying_Patterns_in_Fish_Assemblages_and_Habitat_Use_Along_a_Deep_Submarine_Canyon-Valley_Feature_Using_a_Remotely_Operated_Vehicle_TIF/16576298 doi:10.3389/fmars.2021.608665.s003 |
op_rights |
CC BY 4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.3389/fmars.2021.608665.s003 |
_version_ |
1766198507874549760 |