Abstract:
The acoustic data is separated into different categories of plankton: fish, fish without swimbladders, gas bearing plankton, plankton, and total backscatter for the RRS James Clark Ross and RRS Discovery cruises. The data is for every nautical mile along the transit and separated into 19 depth bands (in one set of files) or aggregated together (in another set of files).
The whale and bird number of each species are reported for each day.
These research cruises were co-funded through partnerships between the Foreign, Commonwealth and Development Office, through the Blue Belt program run by Cefas & MMO, and UKRI through the British Antarctic Survey (BAS) National Capability - Official Development Assistance program (NE/R000107/1 and NE/T012439/1).
Keywords:
ENSO, Pelagic ecosystem change, Southwest Atlantic, higher predators
Morley, S.A, Campanella, F., Baylis, A.M.M., Barnes, D.K.A., Bell, J.B., Bennison, A., Collins, M.A., Glass, T., Martin, S.M., Whomersley, P., Young, E.F., & Schofield, A. (2024). Fisheries acoustic data, whale and bird data from two transits from the Falkland Islands to Tristan da Cunha during March 2018 (RRS James Clark Ross) and March 2019 (RRS Discovery) (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/db06c590-4f6d-4a8a-9b8c-ce45204103c1
| Access Constraints: | Dara are under embargo until publication of the associated article. |
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| Use Constraints: | This data is governed by the NERC data policy http://www.nerc.ac.uk/research/sites/data/policy/ and supplied under Open Government Licence v.3 http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/. |
| Creation Date: | 2024-04-25 |
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| Dataset Progress: | Complete |
| Dataset Language: | English |
| ISO Topic Categories: |
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| Parameters: |
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| Personnel: | |
| Name | UK PDC |
| Role(s) | Metadata Author |
| Organisation | British Antarctic Survey |
| Name | Dr Simon A Morley |
| Role(s) | Investigator, Technical Contact |
| Organisation | British Antarctic Survey |
| Name | Dr Fabio Campanella |
| Role(s) | Investigator |
| Organisation | Centre for Environment, Fisheries and Aquaculture Science |
| Name | Dr Alastair M M Baylis |
| Role(s) | Investigator |
| Organisation | 4South Atlantic Environmental Research Institute |
| Name | Dr David K A Barnes |
| Role(s) | Investigator |
| Organisation | British Antarctic Survey |
| Name | Dr James B Bell |
| Role(s) | Investigator |
| Organisation | Centre for Environment, Fisheries and Aquaculture Science |
| Name | Mr Ashley Bennison |
| Role(s) | Investigator |
| Organisation | British Antarctic Survey |
| Name | Dr Martin A Collins |
| Role(s) | Investigator |
| Organisation | British Antarctic Survey |
| Name | Mr Trevor Glass |
| Role(s) | Investigator |
| Organisation | Tristan da Cunha Government |
| Name | Ms Stephanie M Martin |
| Role(s) | Investigator |
| Organisation | British Antarctic Survey |
| Name | Mr Paul Whomersley |
| Role(s) | Investigator |
| Organisation | Centre for Environment, Fisheries and Aquaculture Science |
| Name | Dr Emma F Young |
| Role(s) | Investigator |
| Organisation | British Antarctic Survey |
| Name | Mr Andy Schofield |
| Role(s) | Investigator |
| Organisation | Royal Society for the Protection of Birds |
| Parent Dataset: | N/A |
| Reference: | Simon A. Morley, Fabio Campanella, Alastair MM Baylis, Dave KA Barnes, James B. Bell, Ashley Bennison, Martin A Collins, Trevor Glass, Stephanie M. Martin, Paul Whomersley, Emma F. Young, Andy Schofield. Dramatic ENSO related southwestern Atlantic ecosystem shifts. Submitted PNAS. | |
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| Lineage: | Underway acoustics Multifrequency acoustic data were collected using a hull-mounted Simrad EK60 echosounder (18, 38, 70, 120, 200, and 333 kHz). The echosounders were calibrated using a 38.1 mm tungsten carbide sphere following the standard sphere method. The calibration performed on the RRS Discovery highlighted a malfunctioning of the 18 and 38 kHz transducers precluding the use of those frequencies. For this reason, the main frequency used for the analysis was 70 kHz (70 kHz was also used for the 2018 data for consistency). The settings and calibration parameters of the acoustic equipment used in the two expeditions are detailed in the associated manuscript. The acoustic data from the surface to a maximum depth of 600 m (below which the 70 kHz data were affected by absorption) were cleaned and processed using the software Echoview v10. The area immediately below the transducers (about 10 m below) was excluded from the analysis because it was affected by the near-field effect and surface noise (e.g., surface bubbles). Background noise, pulse noise and attenuated signals were removed using a series of tools integrated in the Echoview software. The Nautical Area Backscattering Coefficient (NASC) was exported from the 'clean' echograms and used for further analyses. NASC, also referred to as backscatter, was considered a proxy for relative biomass. The horizontal sampling unit used to export the NASC was 1 nm. In order to discriminate different classes of acoustic target, a combination of thresholding and the difference in mean volume backscattering strength (DB differencing) was also used. The analysis consisted of two steps: (i) Thresholding - Mean Volume Backscattering Strength (MVBS) at 70 and 120 kHz was summed and the resulting echogram was thresholded in order to separate two broad classes of targets (fish vs plankton). The difference in variability between fish and zooplankton was used to enhance the contrast between both types of organisms. The use of this approach is helpful when there is a high density of gas-bearing plankton that can easily be mistaken for fish if only dB-differencing is used. The threshold value used for the data collected during the day was empirically chosen at -140 dB. Values above the threshold were classified as fish and values below the threshold were identified as plankton. A Boolean mask was then used to assign the backscatter to fish and plankton; (ii) DB differencing - the fish and plankton categories were further separated into four additional classes (fish with swimbladder, fish without swimbladder, fluid-like plankton, gas-bearing plankton). Identification of these classes was based on the differences of MVBS measured at 120 and 70 kHz (delta MVBS120-70). The NASC for the 'fish' and 'gas-bearing' plankton categories was exported at 70 kHz using a minimum Sv (Volume backscattering strength, dB re 1 m-1) threshold value of -70 dB. The NASC for the 'fish without swimbladder' and 'fluid-like plankton' categories was exported at 120 kHz using a minimum Sv (Volume backscattering strength, dB re 1 m-1) threshold value of -85 dB. The spatial patterns of distribution of the different scatter categories were investigated using a set of spatial metrics calculated in a cell of 1 nm (horizontally) by 200 m (vertically). Specifically, we estimated center of gravity, equivalent area and inertia. The center of mass is the mean location of the backscatter in the water column; the inertia is a measure of the dispersion of the backscatter around its center of gravity; the equivalent area is an individual-based index of the area occupied by the backscatter and it is a measure of the evenness. The spatial metrics were estimated using the daytime data only to exclude the effects of vertical migrations within the water column. The spatial metrics and the NASC were grouped in 5 degree longitudinal classes and the differences between the two years were investigated graphically and statistically using the non-parametric Mann-Whitney U test. Bird observations During daylight hours, birds were counted by a single experienced observer within 300 m from bow to beam on one side of the vessel following European Seabirds At Sea (ESAS) recommended protocols. Following ESAS recommendations, for the South Atlantic away from coastal influence, only seabirds in flight were recorded. Observations were continuous throughout daylight hours and the total number of birds of each species were counted during every 10-minute period. Birds circling the stern and therefore following the ship were eliminated by a check to the stern during each period. Counts were entered directly into the BirdLasser app which records a GPS co-ordinate for every record (https://www.birdlasser.com/). Mammal observations During daylight hours observations were made by two experienced marine mammal observers, in an 180degree arc, using handheld binoculars. Observers identified species and recorded low, high and best estimates of group sizes, while the vessel continued along its course. The best estimate was reported as the group size. Since these were not dedicated marine mammal surveys, no deviations from the transit track were made, therefore, depending on sea state, individuals were visible for approximately 20 minutes. Instances of no observation were recorded as null. Further details on the sampling effort are in the associated manuscript. |
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| Temporal Coverage: | |
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| Start Date | 2018-03-15 |
| End Date | 2018-03-23 |
| Start Date | 2019-03-12 |
| End Date | 2019-03-20 |
| Spatial Coverage: | |
| Latitude | |
| Southernmost | -51.64759 |
| Northernmost | -38.18778 |
| Longitude | |
| Westernmost | -57.60053 |
| Easternmost | -7.98025 |
| Altitude | |
| Min Altitude | N/A |
| Max Altitude | N/A |
| Depth | |
| Min Depth | N/A |
| Max Depth | N/A |
| Location: | |
| Location | South Atlantic Ocean |
| Detailed Location | Falkland Islands |
| Location | South Atlantic Ocean |
| Detailed Location | Tristan da Cunha |
| Data Collection: | For fisheries acoustics: Hull-mounted Simrad EK60 echosounder (18, 38, 70, 120, 200, and 333 kHz). |
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| Data Storage: | Fisheries acoustics: There are two files explaining the depth bands and the units for each column. For both cruises JCR and DY100, there are 5 files for different targets, one set of five with 19 depth bands and one set of five with data integrated over 15 to 200m. Bird and mammal data: There is one file with the numbers of each species of bird and marine mammal observed on each day. The file has the corresponding Sea Surface temperature (SST), Chlorophyll a concentration, Nautical Area Backscattering Co-efficient (NASC), Mixed Layer Depth and wind speed. There is also a readme.txt file explaining variables in the files and a xscv header file. |
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