Citation:

PANGAEA.963392

Name: Net-derived biomass, respiration and ingestion data from three visits to site P3 during an austral spring bloom in 2017
Published: 2024-01-29
License: https://creativecommons.org/licenses/by/4.0/
Keywords: biological carbon pump; biology; fluxes; marine biogeochemistry

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Abstract:

Data derived from net catches for zooplankton and micronekton during the COMICS cruise DY086 in November to December, 2017. Raw catch counts and biomass measurements have been used alongside published values to provide biomass, respiration and ingestion data between 0 and 500 metres depth (Belcher et al. 2022, Cook et al. 2023, Stowasser et al. 2020). Data values are from multiple net deployments and the number of deployments for each value are provided in the dataset. Bongo, Multiple Opening/Closing Net and Environmental Sensing System (MOCNESS) and Rectangular Midwater Trawl (RMT) nets collected small (100 μm mesh; day only), medium (330 μm mesh; day and night) and large (4000 μm mesh; day and night) samples, respectively.

Keyword(s):

biological carbon pump; biology; fluxes; marine biogeochemistry

Supplement to:

Major, William; Giering, Sarah Lou Carolin; Ainsworth, Joanna; Ashurst, Daniel; Belcher, Anna; Blackbird, Sabena J; Bridger, Martin; Briggs, Nathan; Carvalho, Filipa; Clement, Louis; Cook, Kathryn B; Dumousseaud, Cynthia; Espinola, Benoit; Evans, Claire; Fielding, Sophie; Henson, Stephanie A; Iversen, Morten Hvitfeldt; Kiriakoulakis, Kostas; Lampitt, Richard Stephen; Lovecchio, Elisa; Mayor, Daniel J; Moore, Mark; Pabortsava, Katsiaryna; Pebody, Corinne A; Peel, Kate; Poulton, Alex J; Preece, Calum; Rayne, Rachel; Saw, Kevin Antony; Sanders, Richard J; Stinchcombe, Mark Colin; Stowasser, Gabriele; Tarling, Geraint A; Thomalla, Sandy J; Villa-Alfageme, María; Wolff, George A; Martin, Adrian Peter (in review): Active and passive organic carbon fluxes during a bloom in the Southern Ocean (South Georgia). Scientific Data

Related to:

Sanders, Richard J; Henson, Stephanie A; Martin, Adrian Peter; Anderson, Tom R; Bernardello, Raffaele; Enderlein, Peter; Fielding, Sophie; Giering, Sarah Lou Carolin; Hartmann, Manuela; Iversen, Morten Hvitfeldt; Khatiwala, Samar; Lam, Phyllis; Lampitt, Richard Stephen; Mayor, Daniel J; Moore, Mark; Murphy, Eugene J; Painter, Stuart; Poulton, Alex J; Saw, Kevin Antony; Stowasser, Gabriele; Tarling, Geraint A; Torres-Valdés, Sinhué; Trimmer, Mark; Wolff, George A; Yool, Andrew; Zubkov, Mike (2016): Controls over Ocean Mesopelagic Interior Carbon Storage (COMICS): Fieldwork, Synthesis, and Modeling Efforts. Frontiers in Marine Science, 3, 136, https://doi.org/10.3389/fmars.2016.00136

Source:

Belcher, Anna; Cook, Kathryn B; Fielding, Sophie; Stowasser, Gabriele; Saunders, Ryan A; Bondyale-Juez, Daniel R; Mayor, Daniel J; Tarling, Geraint A (2022): Micronekton and zooplankton respiration rates derived from ETS activity measurements on COMICS Cruises DY086 and DY090. NERC EDS British Oceanographic Data Centre NOC, https://doi.org/10.5285/B9F5C5EC-100A-7FF0-E053-6C86ABC0F494

Stowasser, Gabriele; Fielding, Sophie; Belcher, Anna; Mayor, Daniel J; Cook, Kathryn B; Tarling, Geraint A (2020): Macrozooplankton and nekton vertical distribution and abundance at the sustained observation location P3 in the northern Scotia Sea (Southern Ocean) during November and December 2017. UK Polar Data Centre, https://doi.org/10.5285/E184E81A-E43C-424E-ABEC-122036EE2CFD

References:

Cook, Kathryn B; Belcher, Anna; Juez, Daniel Bondyale; Stowasser, Gabriele; Fielding, Sophie; Saunders, Ryan A; Elsafi, Mohamed A; Wolff, George A; Blackbird, Sabena J; Tarling, Geraint A; Mayor, Daniel J (2023): Carbon budgets of Scotia Sea mesopelagic zooplankton and micronekton communities during austral spring. Deep Sea Research Part II: Topical Studies in Oceanography, 210, 105296, https://doi.org/10.1016/j.dsr2.2023.105296

Project(s):

Controls over Ocean Mesopelagic Interior Carbon Storage (COMICS)

Sustainable Management of Mesopelagic Resources (SUMMER)

Funding:

Horizon 2020 (H2020), grant/award no. 817806 : Sustainable management of mesopelagic resources

Natural Environment Research Council (NERC), grant/award no. NE/M020835/1: Controls over Ocean Mesopelagic Interior Carbon Storage

Coverage:

Latitude: -52.400000 * Longitude: -40.100000

Date/Time Start: 2017-11-16T00:40:00 * Date/Time End: 2017-12-12T18:04:00

Minimum DEPTH, water: 31.0 m * Maximum DEPTH, water: 468.5 m

Event(s):

DY086_Bongo_P3A * Latitude: -52.400000 * Longitude: -40.100000 * Date/Time Start: 2017-11-16T06:35:00 * Date/Time End: 2017-11-20T12:52:00 * Mesh size: 100 µm * Campaign: (DY086) * Basis: Discovery (2013) * Method/Device: Bongo net (BONGO)

DY086_Bongo_P3B * Latitude: -52.400000 * Longitude: -40.100000 * Date/Time Start: 2017-11-16T00:40:00 * Date/Time End: 2017-11-20T19:40:00 * Mesh size: 100 µm * Campaign: (DY086) * Basis: Discovery (2013) * Method/Device: Bongo net (BONGO)

DY086_Bongo_P3C * Latitude: -52.400000 * Longitude: -40.100000 * Date/Time Start: 2017-11-16T22:56:00 * Date/Time End: 2017-11-17T17:20:00 * Mesh size: 100 µm * Campaign: (DY086) * Basis: Discovery (2013) * Method/Device: Bongo net (BONGO)

Parameter(s):

#	Name	Short Name	Unit	Principal Investigator	Method/Device	Comment
1	Event label	Event		Major, William
2	Date/Time of event	Date/Time		Major, William
3	Date/Time of event 2	Date/Time 2		Major, William
4	Latitude of event	Latitude		Major, William
5	Longitude of event	Longitude		Major, William
6	Site	Site		Major, William
7	Run Number	Run	#	Major, William		initial
8	Run Number	Run	#	Major, William		final
9	Runs	Runs	#	Major, William
10	Time of day	Time of day		Major, William
11	DEPTH, water	Depth water	m	Major, William	Mean values	Geocode
12	Depth, water, top/minimum	Depth water top	m	Major, William
13	Depth, water, bottom/maximum	Depth water bot	m	Major, William
14	Zooplankton and micronekton, biomass as carbon	Zoopl micronekton C	mmol/m³	Cook, Kathryn B	Calculated
15	Zooplankton and micronekton, respiration rate as carbon	Zoopl micronekton resp C	mmol/m³/day	Cook, Kathryn B	Calculated
16	Zooplankton and micronekton, ingestion rate as carbon	Zoopl micronekton IR C	mmol/m³/day	Cook, Kathryn B	Calculated

License:

Creative Commons Attribution 4.0 International (CC-BY-4.0)

Status:

Curation Level: Enhanced curation (CurationLevelC) * Processing Level: PANGAEA data processing level 4 (ProcLevel4)

Size:

500 data points

Data

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

1 Event	2 Date/Time	3 Date/Time 2	4 Latitude	5 Longitude	6 Site	7 Run [#] (initial)	8 Run [#] (final)	9 Runs [#]	10 Time of day	11 Depth water [m] (Mean values)	12 Depth water top [m]	13 Depth water bot [m]	14 Zoopl micronekton C [mmol/m³] (Calculated)	15 Zoopl micronekton resp C [mmol/m³/day] (Calculated)	16 Zoopl micronekton IR C [mmol/m³/day] (Calculated)
DY086_Bongo_P3A	2017-11-16T06:35:00	2017-11-20T12:52:00	-52.4000	-40.1000	P3A	27	89	4	day	75.0	0	150	0.0899	0.0233	0.0033
DY086_Bongo_P3B	2017-11-16T00:40:00	2017-11-20T19:40:00	-52.4000	-40.1000	P3B	25	95	2	day	75.0	0	150	0.0404	0.0245	0.0014
DY086_Bongo_P3C	2017-11-16T22:56:00	2017-11-17T17:20:00	-52.4000	-40.1000	P3C	40	41	3	day	75.0	0	150	0.0584	0.0654	0.0021
DY086_Bongo_P3A	2017-11-16T06:35:00	2017-11-20T12:52:00	-52.4000	-40.1000	P3A	27	89	4	day	250.0	150	350	0.0449	0.0118	0.0026
DY086_Bongo_P3B	2017-11-16T00:40:00	2017-11-20T19:40:00	-52.4000	-40.1000	P3B	25	95	2	day	250.0	150	350	0.0712	0.0042	0.0030
DY086_Bongo_P3C	2017-11-16T22:56:00	2017-11-17T17:20:00	-52.4000	-40.1000	P3C	40	41	3	day	250.0	150	350	0.0213	0.0212	0.0008
DY086_MOCNESS_P3B	2017-12-01T17:43:00	2017-12-04T12:38:00	-52.4000	-40.1000	P3B	192	234	4	day	31.0	0	62	18.0172	0.4092	0.2048
DY086_MOCNESS_P3C	2017-11-29T17:30:00	2017-11-30T01:20:00	-52.4000	-40.1000	P3C	57	162	2	day	31.0	0	62	40.2376	1.3174	1.0883
DY086_MOCNESS_P3B	2017-12-01T17:43:00	2017-12-04T12:38:00	-52.4000	-40.1000	P3B	192	234	4	night	31.0	0	62	32.9225	0.6020	0.4412
DY086_MOCNESS_P3C	2017-11-29T17:30:00	2017-11-30T01:20:00	-52.4000	-40.1000	P3C	57	162	2	night	31.0	0	62	11.3015	0.2379	0.3217
DY086_MOCNESS_P3B	2017-12-01T17:43:00	2017-12-04T12:38:00	-52.4000	-40.1000	P3B	192	234	4	day	156.0	125	187	2.3160	0.0143	0.0681
DY086_MOCNESS_P3C	2017-11-29T17:30:00	2017-11-30T01:20:00	-52.4000	-40.1000	P3C	57	162	2	day	156.0	125	187	1.1751	0.0072	0.0355
DY086_MOCNESS_P3B	2017-12-01T17:43:00	2017-12-04T12:38:00	-52.4000	-40.1000	P3B	192	234	4	night	156.0	125	187	0.6623	0.0066	0.0257
DY086_MOCNESS_P3C	2017-11-29T17:30:00	2017-11-30T01:20:00	-52.4000	-40.1000	P3C	57	162	2	night	156.0	125	187	1.2403	0.0180	0.0341
DY086_MOCNESS_P3B	2017-12-01T17:43:00	2017-12-04T12:38:00	-52.4000	-40.1000	P3B	192	234	4	day	218.5	187	250	1.7679	0.0181	0.0513
DY086_MOCNESS_P3C	2017-11-29T17:30:00	2017-11-30T01:20:00	-52.4000	-40.1000	P3C	57	162	2	day	218.5	187	250	1.6318	0.0202	0.0467
DY086_MOCNESS_P3B	2017-12-01T17:43:00	2017-12-04T12:38:00	-52.4000	-40.1000	P3B	192	234	4	night	218.5	187	250	0.9313	0.0052	0.0292
DY086_MOCNESS_P3C	2017-11-29T17:30:00	2017-11-30T01:20:00	-52.4000	-40.1000	P3C	57	162	2	night	218.5	187	250	1.1702	0.0069	0.0411
DY086_MOCNESS_P3B	2017-12-01T17:43:00	2017-12-04T12:38:00	-52.4000	-40.1000	P3B	192	234	4	day	281.0	250	312	0.6782	0.0060	0.0269
DY086_MOCNESS_P3C	2017-11-29T17:30:00	2017-11-30T01:20:00	-52.4000	-40.1000	P3C	57	162	2	day	281.0	250	312	0.7061	0.0093	0.0236
DY086_MOCNESS_P3B	2017-12-01T17:43:00	2017-12-04T12:38:00	-52.4000	-40.1000	P3B	192	234	4	night	281.0	250	312	0.4907	0.0039	0.0183
DY086_MOCNESS_P3C	2017-11-29T17:30:00	2017-11-30T01:20:00	-52.4000	-40.1000	P3C	57	162	2	night	281.0	250	312	1.0742	0.0087	0.0318
DY086_MOCNESS_P3B	2017-12-01T17:43:00	2017-12-04T12:38:00	-52.4000	-40.1000	P3B	192	234	4	day	343.5	312	375	0.7912	0.0044	0.0278
DY086_MOCNESS_P3C	2017-11-29T17:30:00	2017-11-30T01:20:00	-52.4000	-40.1000	P3C	57	162	2	day	343.5	312	375	0.6900	0.0036	0.0231
DY086_MOCNESS_P3B	2017-12-01T17:43:00	2017-12-04T12:38:00	-52.4000	-40.1000	P3B	192	234	4	night	343.5	312	375	0.8986	0.0051	0.0305
DY086_MOCNESS_P3C	2017-11-29T17:30:00	2017-11-30T01:20:00	-52.4000	-40.1000	P3C	57	162	2	night	343.5	312	375	0.3197	0.0026	0.0104
DY086_MOCNESS_P3B	2017-12-01T17:43:00	2017-12-04T12:38:00	-52.4000	-40.1000	P3B	192	234	4	day	406.0	375	437	0.3497	0.0007	0.0126
DY086_MOCNESS_P3C	2017-11-29T17:30:00	2017-11-30T01:20:00	-52.4000	-40.1000	P3C	57	162	2	day	406.0	375	437	0.3980	0.0012	0.0176
DY086_MOCNESS_P3B	2017-12-01T17:43:00	2017-12-04T12:38:00	-52.4000	-40.1000	P3B	192	234	4	night	406.0	375	437	0.4227	0.0011	0.0143
DY086_MOCNESS_P3C	2017-11-29T17:30:00	2017-11-30T01:20:00	-52.4000	-40.1000	P3C	57	162	2	night	406.0	375	437	0.5247	0.0023	0.0189
DY086_MOCNESS_P3B	2017-12-01T17:43:00	2017-12-04T12:38:00	-52.4000	-40.1000	P3B	192	234	4	day	468.5	437	500	0.5813	0.0025	0.0193
DY086_MOCNESS_P3C	2017-11-29T17:30:00	2017-11-30T01:20:00	-52.4000	-40.1000	P3C	57	162	2	day	468.5	437	500	0.2750	0.0021	0.0107
DY086_MOCNESS_P3B	2017-12-01T17:43:00	2017-12-04T12:38:00	-52.4000	-40.1000	P3B	192	234	4	night	468.5	437	500	0.9154	0.0047	0.0296
DY086_MOCNESS_P3C	2017-11-29T17:30:00	2017-11-30T01:20:00	-52.4000	-40.1000	P3C	57	162	2	night	468.5	437	500	0.2889	0.0021	0.0129
DY086_MOCNESS_P3B	2017-12-01T17:43:00	2017-12-04T12:38:00	-52.4000	-40.1000	P3B	192	234	4	day	93.5	62	125	6.5847	0.0807	0.1971
DY086_MOCNESS_P3C	2017-11-29T17:30:00	2017-11-30T01:20:00	-52.4000	-40.1000	P3C	57	162	2	day	93.5	62	125	1.9381	0.0389	0.0561
DY086_MOCNESS_P3B	2017-12-01T17:43:00	2017-12-04T12:38:00	-52.4000	-40.1000	P3B	192	234	4	night	93.5	62	125	1.9909	0.0235	0.0479
DY086_MOCNESS_P3C	2017-11-29T17:30:00	2017-11-30T01:20:00	-52.4000	-40.1000	P3C	57	162	2	night	93.5	62	125	1.9615	0.0285	0.0573
DY086_RMT_P3A	2017-12-09T12:05:00	2017-12-12T18:04:00	-52.4000	-40.1000	P3A	271	323	11	day	125.0	0	250	0.1192	0.0008	0.0049
DY086_RMT_P3B	2017-12-10T23:00:00	2017-12-11T15:34:00	-52.4000	-40.1000	P3B	305	315	2	day	125.0	0	250	0.0895	0.0010	0.0018
DY086_RMT_P3C	2017-12-10T01:07:00	2017-12-10T15:25:00	-52.4000	-40.1000	P3C	286	295	2	day	125.0	0	250	0.0664	0.0033	0.0021
DY086_RMT_P3A	2017-12-09T12:05:00	2017-12-12T18:04:00	-52.4000	-40.1000	P3A	271	323	11	night	125.0	0	250	0.0895	0.0013	0.0064
DY086_RMT_P3B	2017-12-10T23:00:00	2017-12-11T15:34:00	-52.4000	-40.1000	P3B	305	315	2	night	125.0	0	250	0.0486	0.0152	0.0038
DY086_RMT_P3C	2017-12-10T01:07:00	2017-12-10T15:25:00	-52.4000	-40.1000	P3C	286	295	2	night	125.0	0	250	0.0905	0.0089	0.0031
DY086_RMT_P3A	2017-12-09T12:05:00	2017-12-12T18:04:00	-52.4000	-40.1000	P3A	271	323	11	day	375.0	250	500	0.0696	0.0010	0.0035
DY086_RMT_P3B	2017-12-10T23:00:00	2017-12-11T15:34:00	-52.4000	-40.1000	P3B	305	315	2	day	375.0	250	500	0.0792	0.0015	0.0021
DY086_RMT_P3C	2017-12-10T01:07:00	2017-12-10T15:25:00	-52.4000	-40.1000	P3C	286	295	2	day	375.0	250	500	0.0797	0.0006	0.0026
DY086_RMT_P3A	2017-12-09T12:05:00	2017-12-12T18:04:00	-52.4000	-40.1000	P3A	271	323	11	night	375.0	250	500	0.0627	0.0009	0.0033
DY086_RMT_P3B	2017-12-10T23:00:00	2017-12-11T15:34:00	-52.4000	-40.1000	P3B	305	315	2	night	375.0	250	500	0.0664	0.0013	0.0025
DY086_RMT_P3C	2017-12-10T01:07:00	2017-12-10T15:25:00	-52.4000	-40.1000	P3C	286	295	2	night	375.0	250	500	0.0662	0.0009	0.0020