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Ferronato, Carola; Guinder, Valeria A; Gilabert, Azul; Lopez-Abbate, Celeste; Nocera, Ariadna; Loizaga, Rocio; D'Agostino, Valeria (2024): Mesozooplankton abundance during Ana Maria Gayoso cruise in the South western Atlantic during late spring 2021 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.971566

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Published: 2024-08-22DOI registered: 2024-09-20

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Abstract:
The abundance of mesozooplankton was assessed in the Southwestern Atlantic (SWA, 36-48ºS, 64-54ºW) during late spring (November 2021) on the Ana Maria Gayoso oceanographic cruise aboard the vessel Bernardo Houssay. The study covered three regions: the outer Patagonian shelf, the slope waters in the core of the Malvinas Current, and the adjacent open ocean in the Argentine Basin. Mesozooplankton samples were obtained from vertical tows equipped with a mechanical flowmeter. Organisms were identified and counted under a binocular stereomicroscope, up to the species level when possible. Biomass was estimated from literature only for copepods and euphausiids using previously established regressions to convert body length to wet weight biomass.
Keyword(s):
bloom; field observation; mesozooplankton; plankton; ship-based; South Atlantic Ocean; water masses
Supplement to:
Ferronato, Carola; Guinder, Valeria A; Rivarossa, Martín; Saraceno, Martín; Ibarbalz, Federico; Tillmann, Urban; Almandoz, Gastón Osvaldo; Bourdin, Guillaume; D'Agostino, Valeria; Gilabert, Azul; Loizaga, Rocio; Lopez-Abbate, Celeste; Nocera, Ariadna; Silva, Ricardo; Flombaum, Pedro (2025): Insights Into Protistan Plankton Blooms in the Highly Dynamic Patagonian Shelf and Adjacent Ocean Basin in the Southwestern Atlantic. Journal of Geophysical Research: Oceans, 130(3), e2024JC021412, https://doi.org/10.1029/2024JC021412
Funding:
Horizon 2020 (H2020), grant/award no. 872690: Coastal ecosystem carbon balance in times of rapid glacier melt (CoastCarb)
Ministerio de Ciencia, Tecnología e Innovación, Argentina, grant/award no. PIDT_A6: BioMMAr from the national initiative Pampa Azul
National Scientific and Technical Research Council (CONICET), grant/award no. RESOL-2018-2686-APN-DIR#CONICET: CONICET Doctoral Fellowship
National Scientific and Technical Research Council (CONICET), grant/award no. RESOL-2021-722-APN-DIR#CONICET: CONICET-DAAD academic exchange project: FitoxNorPat (call-2020)
Coverage:
Median Latitude: -42.641250 * Median Longitude: -57.083750 * South-bound Latitude: -45.970000 * West-bound Longitude: -59.380000 * North-bound Latitude: -39.400000 * East-bound Longitude: -55.100000
Date/Time Start: 2021-11-17T15:07:00 * Date/Time End: 2021-11-22T00:52:00
Minimum DEPTH, water: m * Maximum DEPTH, water: 50 m
Event(s):
GA_05-2  * Latitude: -45.970000 * Longitude: -59.380000 * Date/Time Start: 2021-11-17T15:07:00 * Date/Time End: 2021-11-17T15:22:00 * Campaign: Ana_Maria_Gayoso * Basis: Dr. Bernardo Houssay * Method/Device: Vertical plankton net (VPN)
GA_06-2  * Latitude: -44.990000 * Longitude: -56.610000 * Date/Time Start: 2021-11-18T11:16:00 * Date/Time End: 2021-11-18T11:36:00 * Campaign: Ana_Maria_Gayoso * Basis: Dr. Bernardo Houssay * Method/Device: Vertical plankton net (VPN)
GA_07-2  * Latitude: -44.700000 * Longitude: -56.320000 * Date/Time Start: 2021-11-18T14:43:00 * Date/Time End: 2021-11-18T14:58:00 * Campaign: Ana_Maria_Gayoso * Basis: Dr. Bernardo Houssay * Method/Device: Vertical plankton net (VPN)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
Event labelEventNocera, Ariadna
LATITUDELatitudeNocera, AriadnaGeocode
LONGITUDELongitudeNocera, AriadnaGeocode
Date/Time of eventDate/TimeNocera, Ariadna
DEPTH, waterDepth watermNocera, AriadnaGeocode – maximum
DEPTH, waterDepth watermNocera, AriadnaGeocode – minimum
CopepodaCopepoda#/m3Nocera, AriadnaCalculated
EuphausiaEuphausia#/m3Nocera, AriadnaCalculated
Mesozooplankton, other groupsMesozoopl oth#/m3Nocera, AriadnaCalculatedOther taxa include eggs, gastropoda, ostracoda, amphipoda, chaetognatha, appendicularia, foraminifera, echinodermata, polychaeta, cirripedia
10 NaupliiNauplii#/m3Nocera, AriadnaCalculated
11 Calanoida, copepoditesCalanoida c#/m3Nocera, AriadnaCalculated
12 Ctenocalanus vanusC. vanus#/m3Nocera, AriadnaCalculated
13 Paracalanus parvusP. parvus#/m3Nocera, AriadnaCalculated
14 Haloptilus spp.Haloptilus spp.#/m3Nocera, AriadnaCalculated
15 Oithona spp.Oithona spp.#/m3Nocera, AriadnaCalculated
16 Clausocalanus laticepsC. laticeps#/m3Nocera, AriadnaCalculated
17 Calanus simillimusC. simillimus#/m3Nocera, AriadnaCalculated
18 Calanus propinquusC. propinquus#/m3Nocera, AriadnaCalculated
19 Copepoda indeterminataCopepoda indet#/m3Nocera, AriadnaCalculatedUnidentified copepods (broken)
20 Calanus australisC. australis#/m3Nocera, AriadnaCalculated
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
112 data points

Data

Download dataset as tab-delimited text — use the following character encoding:


Event

Latitude

Longitude

Date/Time

Depth water [m]
(maximum)

Depth water [m]
(minimum)

Copepoda [#/m3]

Euphausia [#/m3]

Mesozoopl oth [#/m3]
(Other taxa include eggs, gast...)
10 
Nauplii [#/m3]
11 
Calanoida c [#/m3]
12 
C. vanus [#/m3]
13 
P. parvus [#/m3]
14 
Haloptilus spp. [#/m3]
15 
Oithona spp. [#/m3]
16 
C. laticeps [#/m3]
17 
C. simillimus [#/m3]
18 
C. propinquus [#/m3]
19 
Copepoda indet [#/m3]
(Unidentified copepods (broken))
20 
C. australis [#/m3]
GA_05-2 -45.97-59.382021-11-17T15:0750092.1742965.2169972.6087060.00000029.2452830.0000000.0000000.00000053.7735850.0000000.0000000.00000016.9811320.000000
GA_06-2 -44.99-56.612021-11-18T11:1650091.3043480.0000008.6956524.76190523.8095244.7619050.0000000.00000014.2857140.00000033.3333330.00000019.0476190.000000
GA_07-2 -44.70-56.322021-11-18T14:4350098.0198020.4950501.4851490.00000069.1919195.0505050.5050510.0000004.5454550.00000014.1414140.0000005.0505051.515152
GA_08-2 -43.00-58.392021-11-19T14:5450064.0909090.00000035.90909113.47517768.0851060.7092200.0000002.83687914.8936170.0000000.0000000.0000000.0000000.000000
GA_09-2 -42.87-58.882021-11-19T22:1550096.7277490.0654453.2068062.84745834.10169536.94915317.4237290.2711865.0169490.0677971.0847460.0000002.2372880.000000
GA_10-2 -40.00-56.402021-11-21T07:3950097.7528090.0000002.2471911.72413831.60919535.0574714.0229890.00000021.8390800.0000003.4482762.2988510.0000000.000000
GA_11-2 -40.20-55.592021-11-21T15:2450094.4329902.4742273.0927842.18340645.1965073.4934502.8384280.43668143.4497820.0000002.1834060.2183410.0000000.000000
GA_12-2 -39.40-55.102021-11-22T00:3550098.0406390.4716980.4716983.00000036.66666744.8148156.3703702.1481485.1111110.0000001.4444440.1111110.3333330.000000